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Cotrozzi L, Lorenzini G, Nali C, Pisuttu C, Pampana S, Pellegrini E. Transient Waterlogging Events Impair Shoot and Root Physiology and Reduce Grain Yield of Durum Wheat Cultivars. Plants (Basel) 2021; 10:plants10112357. [PMID: 34834720 PMCID: PMC8625979 DOI: 10.3390/plants10112357] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 05/17/2023]
Abstract
Durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn) is a staple crop of the Mediterranean countries, where more frequent waterlogging events are predicted due to climate change. However, few investigations have been conducted on the physiological and agronomic responses of this crop to waterlogging. The present study provides a comprehensive evaluation of the effects of two waterlogging durations (i.e., 14 and 35 days) on two durum wheat cultivars (i.e., Svevo and Emilio Lepido). An integrated analysis of an array of physiological, biochemical, biometric, and yield parameters was performed at the end of the waterlogging events, during recovery, and at physiological maturity. Results established that effects on durum wheat varied depending on waterlogging duration. This stress imposed at tillering impaired photosynthetic activity of leaves and determined oxidative injury of the roots. The physiological damages could not be fully recovered, subsequently slowing down tiller formation and crop growth, and depressing the final grain yield. Furthermore, differences in waterlogging tolerance between cultivars were discovered. Our results demonstrate that in durum wheat, the energy maintenance, the cytosolic ion homeostasis, and the ROS control and detoxification can be useful physiological and biochemical parameters to consider for the waterlogging tolerance of genotypes, with regard to sustaining biomass production and grain yield.
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Affiliation(s)
- Lorenzo Cotrozzi
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
| | - Giacomo Lorenzini
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
- CIRSEC, Centre for Climate Change Impact, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy
| | - Cristina Nali
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
- CIRSEC, Centre for Climate Change Impact, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy
| | - Claudia Pisuttu
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
| | - Silvia Pampana
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
- Correspondence: ; Tel.: +39-050-221-8941
| | - Elisa Pellegrini
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy; (L.C.); (G.L.); (C.N.); (C.P.); (E.P.)
- CIRSEC, Centre for Climate Change Impact, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy
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Tomar M, Bhardwaj R, Kumar M, Pal Singh S, Krishnan V, Kansal R, Verma R, Yadav VK, dahuja A, Ahlawat SP, Rana JC, Bollinedi H, Ranjan Kumar R, Goswami S, T V, Satyavathi CT, Praveen S, Sachdev A. Nutritional composition patterns and application of multivariate analysis to evaluate indigenous Pearl millet ((Pennisetum glaucum (L.) R. Br.) germplasm. J Food Compost Anal 2021; 103:104086. [DOI: 10.1016/j.jfca.2021.104086] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Conti V, Romi M, Parri S, Aloisi I, Marino G, Cai G, Cantini C. Morpho-Physiological Classification of Italian Tomato Cultivars ( Solanum lycopersicum L.) According to Drought Tolerance during Vegetative and Reproductive Growth. Plants (Basel) 2021; 10:plants10091826. [PMID: 34579359 PMCID: PMC8468351 DOI: 10.3390/plants10091826] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/23/2021] [Accepted: 08/29/2021] [Indexed: 01/18/2023]
Abstract
Irrigation is fundamental for agriculture but, as climate change becomes more persistent, there is a need to conserve water and use it more efficiently. It is therefore crucial to identify cultivars that can tolerate drought. For economically relevant crops, such as tomatoes, this purpose takes on an even more incisive role and local agrobiodiversity is a large genetic reservoir of promising cultivars. In this study, nine local Italian cultivars of tomatoes plus four widely used commercial cultivars were considered. These experienced about 20 d of drought, either at vegetative or reproductive phase. Various physio-morphological parameters were monitored, such as stomatal conductance (gs), photosynthesis (A), water use efficiency (WUE), growth (GI) and soil water content (SWC). The different responses and behaviors allowed to divide the cultivars into three groups: tolerant, susceptible, and intermediate. The classification was also confirmed by a principal component analysis (PCA). The study, in addition to deepening the knowledge of local Italian tomato cultivars, reveals how some cultivars perform better under stress condition than commercial ones. Moreover, the different behavior depends on the genotype and on the growth phase of plants. In fact, the Perina cultivar is the most tolerant during vegetative growth while the Quarantino cultivar is mostly tolerant at reproductive stage. The results suggest that selection of cultivars could lead to a more sustainable agriculture and less wasteful irrigation plans.
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Affiliation(s)
- Veronica Conti
- Department of Life Sciences, University of Siena, 53100 Siena, Italy; (M.R.); (S.P.); (G.C.)
- Correspondence: ; Tel.: +39-0577-232392
| | - Marco Romi
- Department of Life Sciences, University of Siena, 53100 Siena, Italy; (M.R.); (S.P.); (G.C.)
| | - Sara Parri
- Department of Life Sciences, University of Siena, 53100 Siena, Italy; (M.R.); (S.P.); (G.C.)
| | - Iris Aloisi
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Irnerio, 40126 Bologna, Italy;
| | - Giovanni Marino
- National Research Council of Italy, Institute of Sustainable Plant Protection (CNR-IPSP), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy;
| | - Giampiero Cai
- Department of Life Sciences, University of Siena, 53100 Siena, Italy; (M.R.); (S.P.); (G.C.)
| | - Claudio Cantini
- National Research Council of Italy, Institute for Bioeconomy (CNR-IBE), 58022 Follonica, Italy;
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Yan H, Li G, Shi J, Tian S, Zhang X, Cheng R, Wang X, Yuan Y, Cao S, Zhou J, Kong Z, Jia H, Ma Z. Genetic control of Fusarium head blight resistance in two Yangmai 158-derived recombinant inbred line populations. Theor Appl Genet 2021; 134:3037-3049. [PMID: 34110431 DOI: 10.1007/s00122-021-03876-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 05/28/2021] [Indexed: 06/12/2023]
Abstract
Stably expressed type I and type II resistance QTL were identified using two Yangmai 158-derived RIL populations, and plant-height and flowering-time QTL intervals detected did not contribute to the FHB resistance variations. Yangmai 158 (Y158) is an elite wheat cultivar widely grown in China with stable Fusarium head blight (FHB) resistance. To enrich the genetic basis underlying FHB resistance, QTL mapping was conducted using two recombinant inbred line (RIL) populations derived from crosses of Y158 with susceptible lines Annong 8455 and Veery. Survey with makers linked to Fhb1, Fhb2, Fhb4 and Fhb5 in resistance cultivar Wangshuibai indicated that both Y158 and the susceptible lines do not contain these QTL. The RIL populations were surveyed with 65 PCR markers and 55 K chip, which generated 23,159 valid marker data, to produce genetic maps for whole genome scanning of quantitative trait loci (QTL). A total of six QTL, all with the Y158 alleles for better resistance and including one stably expressed QTL for type I resistance (Qfhi.nau-2D) and one stably expressed QTL for type II resistance (Qfhs.nau-2A), were identified. Moreover, taking advantage of the great genetic variations in plant height and flowering time, QTL conditioning these two traits were determined. Of six plant-height QTL and three flowering-time QTL intervals detected, none were associated with FHB resistance. The FHB resistance QTL in Y158 were shown to be useful alternatives in FHB resistance breeding programs. The SNP markers flanking Qfhs.nau-2A and Qfhi.nau-2D have been converted to breeder-friendly PCR-based markers to facilitate their applications.
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Affiliation(s)
- Haisheng Yan
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Guoqiang Li
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jinxing Shi
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - ShunShun Tian
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Xiaoqiu Zhang
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Rui Cheng
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Xin Wang
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yang Yuan
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Shouyang Cao
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jiyang Zhou
- College of Life Science and Technology, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Zhongxin Kong
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Haiyan Jia
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
| | - Zhengqiang Ma
- Crop Genomics and Bioinformatics Center and National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
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Figueiredo FRA, Nóbrega JS, de Fátima RT, Ferreira JTA, da Silva Leal MP, Melo MF, Dias TJ, de Albuquerque MB. Impact of biostimulant and saline water on cape gooseberry ( Physalis peruviana L.) in Brazil. Physiol Mol Biol Plants 2021; 27:2141-2150. [PMID: 34629784 PMCID: PMC8484386 DOI: 10.1007/s12298-021-01058-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/03/2021] [Accepted: 08/26/2021] [Indexed: 06/13/2023]
Abstract
Production of Physalis peruviana L. has gained prominence in Northeastern Brazil. However, salinity limits the crop development in the Brazilian semiarid. Thus, this research aimed to evaluate the application of Acadian® biostimulant as mitigant of the deleterious effects of salinity on growth and gas exchange of P. peruviana plants. The experiment was combining different electrical conductivity of irrigation water (0.50, 1.23, 3.00, 4.44, and 5.50 dS m-1) and biostimulant doses (0.00, 1.45, 5.00, 8.55, and 10.00 mL L-1). The main variables evaluated were plant height, stem diameter, number of leaves, root length, leaf area, specific leaf area, leaf area ratio, absolute and relative growth rate for plant height, and gas exchange. Experimental results showed that an increase in electrical conductivity of irrigation water had negatively affected the growth components and gas exchange in P. peruviana. Also, the application of seaweed-based biostimulant improves the photosynthetic capacity (43.3%), reduces transpiration rate (26.5%) and water loss by this process, further it attenuated the deleterious effects of salinity on specific leaf area, leaf area ratio, and stomatal conductance. To further elucidate the effectiveness of biostimulant application as a mitigant of salt stress, research aimed at the biochemical and enzyme activities of the plant's antioxidant system should be conducted to better understand this process.
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Zeng L, Peng G, Meng R, Man J, Li W, Xu B, Lv Z, Sun R. Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red–Green–Blue Imagery. Remote Sensing 2021; 13:2937. [DOI: 10.3390/rs13152937] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Unmanned aerial vehicles-collected (UAVs) digital red–green–blue (RGB) images provided a cost-effective method for precision agriculture applications regarding yield prediction. This study aims to fully explore the potential of UAV-collected RGB images in yield prediction of winter wheat by comparing it to multi-source observations, including thermal, structure, volumetric metrics, and ground-observed leaf area index (LAI) and chlorophyll content under the same level or across different levels of nitrogen fertilization. Color indices are vegetation indices calculated by the vegetation reflectance at visible bands (i.e., red, green, and blue) derived from RGB images. The results showed that some of the color indices collected at the jointing, flowering, and early maturity stages had high correlation (R2 = 0.76–0.93) with wheat grain yield. They gave the highest prediction power (R2 = 0.92–0.93) under four levels of nitrogen fertilization at the flowering stage. In contrast, the other measurements including canopy temperature, volumetric metrics, and ground-observed chlorophyll content showed lower correlation (R2 = 0.52–0.85) to grain yield. In addition, thermal information as well as volumetric metrics generally had little contribution to the improvement of grain yield prediction when combining them with color indices derived from digital images. Especially, LAI had inferior performance to color indices in grain yield prediction within the same level of nitrogen fertilization at the flowering stage (R2 = 0.00–0.40 and R2 = 0.55–0.68), and color indices provided slightly better prediction of yield than LAI at the flowering stage (R2 = 0.93, RMSE = 32.18 g/m2 and R2 = 0.89, RMSE = 39.82 g/m2) under all levels of nitrogen fertilization. This study highlights the capabilities of color indices in wheat yield prediction across genotypes, which also indicates the potential of precision agriculture application using many other flexible, affordable, and easy-to-handle devices such as mobile phones and near surface digital cameras in the future.
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Boukail S, Macharia M, Miculan M, Masoni A, Calamai A, Palchetti E, Dell'Acqua M. Genome wide association study of agronomic and seed traits in a world collection of proso millet (Panicum miliaceum L.). BMC Plant Biol 2021; 21:330. [PMID: 34243721 PMCID: PMC8268170 DOI: 10.1186/s12870-021-03111-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/23/2021] [Indexed: 05/28/2023]
Abstract
BACKGROUND The climate crisis threatens sustainability of crop production worldwide. Crop diversification may enhance food security while reducing the negative impacts of climate change. Proso millet (Panicum milaceum L.) is a minor cereal crop which holds potential for diversification and adaptation to different environmental conditions. In this study, we assembled a world collection of proso millet consisting of 88 varieties and landraces to investigate its genomic and phenotypic diversity for seed traits, and to identify marker-trait associations (MTA). RESULTS Sequencing of restriction-site associated DNA fragments yielded 494 million reads and 2,412 high quality single nucleotide polymorphisms (SNPs). SNPs were used to study the diversity in the collection and perform a genome wide association study (GWAS). A genotypic diversity analysis separated accessions originating in Western Europe, Eastern Asia and Americas from accessions sampled in Southern Asia, Western Asia, and Africa. A Bayesian structure analysis reported four cryptic genetic groups, showing that landraces accessions had a significant level of admixture and that most of the improved proso millet materials clustered separately from landraces. The collection was highly diverse for seed traits, with color varying from white to dark brown and width spanning from 1.8 to 2.6 mm. A GWAS study for seed morphology traits identified 10 MTAs. In addition, we identified three MTAs for agronomic traits that were previously measured on the collection. CONCLUSION Using genomics and automated seed phenotyping, we elucidated phylogenetic relationships and seed diversity in a global millet collection. Overall, we identified 13 MTAs for key agronomic and seed traits indicating the presence of alleles with potential for application in proso breeding programs.
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Affiliation(s)
- Sameh Boukail
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Mercy Macharia
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Mara Miculan
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Alberto Masoni
- School of Agriculture, University of Florence, Florence, Italy
| | | | | | - Matteo Dell'Acqua
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
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Perveen S, Hanif MA, Nadeem R, Rashid U, Azeem MW, Zubair M, Nisar N, Alharthi FA, Moser BR. A Novel Route of Mixed Catalysis for Production of Fatty Acid Methyl Esters from Potential Seed Oil Sources. Catalysts 2021; 11:811. [DOI: 10.3390/catal11070811] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Depleting petroleum resources coupled with the environmental consequences of fossil fuel combustion have led to the search for renewable alternatives, such as biodiesel. In this study, sunflower (Helianthus annus), mustard (Brassica compestres) and pearl millet (Pennisetum americanum) seed oils were converted into biodiesel (fatty acid methyl esters) by acid-, base- and lipase-catalyzed transesterification, and the resultant fuel properties were determined. The methyl esters displayed superior iodine values (102–139), low densities, and a high cetane number (CN). The highest yield of biodiesel was obtained from mustard seed oil, which provided cloud (CP) and pour (PP) points of −3.5 and 5 °C, respectively, and a CN of 53. The sunflower seed oil methyl esters had a density of 0.81–0.86 kg/L at 16 °C, CP of 2 °C, PP of −8 °C, and a CN of 47. The pearl millet seed oil methyl esters yielded a density 0.87–0.89 kg/L, CP and PP of 4 °C and −5 °C, respectively, and a CN of 46. The major fatty acids identified in the sunflower, mustard, and pearl millet seed oils were linolenic (49.2%), oleic acid (82.2%), and linoleic acid (73.9%), respectively. The present study reports biodiesel with ideal values of CP and PP, to extend the use of biodiesel at the commercial level.
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Isham K, Wang R, Zhao W, Wheeler J, Klassen N, Akhunov E, Chen J. QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars. Theor Appl Genet 2021; 134:2079-2095. [PMID: 33687497 PMCID: PMC8263538 DOI: 10.1007/s00122-021-03806-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 02/24/2021] [Indexed: 05/07/2023]
Abstract
Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci.
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Affiliation(s)
- Kyle Isham
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Rui Wang
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Weidong Zhao
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Justin Wheeler
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Natalie Klassen
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Eduard Akhunov
- Department of Plant Sciences, Kansas State University, Manhattan, KS, USA
| | - Jianli Chen
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA.
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Sarkar S, Ramsey AF, Cazenave AB, Balota M. Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models. Front Plant Sci 2021; 12:658621. [PMID: 34220885 PMCID: PMC8253229 DOI: 10.3389/fpls.2021.658621] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 03/30/2021] [Indexed: 06/13/2023]
Abstract
Peanut (Arachis hypogaea L.) is an important crop for United States agriculture and worldwide. Low soil moisture is a major constraint for production in all peanut growing regions with negative effects on yield quantity and quality. Leaf wilting is a visual symptom of low moisture stress used in breeding to improve stress tolerance, but visual rating is slow when thousands of breeding lines are evaluated and can be subject to personnel scoring bias. Photogrammetry might be used instead. The objective of this article is to determine if color space indices derived from red-green-blue (RGB) images can accurately estimate leaf wilting for breeding selection and irrigation triggering in peanut production. RGB images were collected with a digital camera proximally and aerially by a unmanned aerial vehicle during 2018 and 2019. Visual rating was performed on the same days as image collection. Vegetation indices were intensity, hue, saturation, lightness, a∗, b∗, u∗, v∗, green area (GA), greener area (GGA), and crop senescence index (CSI). In particular, hue, a∗, u∗, GA, GGA, and CSI were significantly (p ≤ 0.0001) associated with leaf wilting. These indices were further used to train an ordinal logistic regression model for wilting estimation. This model had 90% accuracy when images were taken aerially and 99% when images were taken proximally. This article reports on a simple yet key aspect of peanut screening for tolerance to low soil moisture stress and uses novel, fast, cost-effective, and accurate RGB-derived models to estimate leaf wilting.
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Affiliation(s)
- Sayantan Sarkar
- School of Plant and Environmental Sciences, Virginia Tech, Tidewater AREC, Suffolk, VA, United States
| | - A. Ford Ramsey
- Department of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA, United States
| | - Alexandre-Brice Cazenave
- School of Plant and Environmental Sciences, Virginia Tech, Tidewater AREC, Suffolk, VA, United States
| | - Maria Balota
- School of Plant and Environmental Sciences, Virginia Tech, Tidewater AREC, Suffolk, VA, United States
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Rabbi SMHA, Kumar A, Mohajeri Naraghi S, Sapkota S, Alamri MS, Elias EM, Kianian S, Seetan R, Missaoui A, Solanki S, Mergoum M. Identification of Main-Effect and Environmental Interaction QTL and Their Candidate Genes for Drought Tolerance in a Wheat RIL Population Between Two Elite Spring Cultivars. Front Genet 2021; 12:656037. [PMID: 34220939 PMCID: PMC8249774 DOI: 10.3389/fgene.2021.656037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/13/2021] [Indexed: 01/22/2023] Open
Abstract
Understanding the genetics of drought tolerance can expedite the development of drought-tolerant cultivars in wheat. In this study, we dissected the genetics of drought tolerance in spring wheat using a recombinant inbred line (RIL) population derived from a cross between a drought-tolerant cultivar, ‘Reeder’ (PI613586), and a high-yielding but drought-susceptible cultivar, ‘Albany.’ The RIL population was evaluated for grain yield (YLD), grain volume weight (GVW), thousand kernel weight (TKW), plant height (PH), and days to heading (DH) at nine different environments. The Infinium 90 k-based high-density genetic map was generated using 10,657 polymorphic SNP markers representing 2,057 unique loci. Quantitative trait loci (QTL) analysis detected a total of 11 consistent QTL for drought tolerance-related traits. Of these, six QTL were exclusively identified in drought-prone environments, and five were constitutive QTL (identified under both drought and normal conditions). One major QTL on chromosome 7B was identified exclusively under drought environments and explained 13.6% of the phenotypic variation (PV) for YLD. Two other major QTL were detected, one each on chromosomes 7B and 2B under drought-prone environments, and explained 14.86 and 13.94% of phenotypic variation for GVW and YLD, respectively. One novel QTL for drought tolerance was identified on chromosome 2D. In silico expression analysis of candidate genes underlaying the exclusive QTLs associated with drought stress identified the enrichment of ribosomal and chloroplast photosynthesis-associated proteins showing the most expression variability, thus possibly contributing to stress response by modulating the glycosyltransferase (TraesCS6A01G116400) and hexosyltransferase (TraesCS7B01G013300) unique genes present in QTL 21 and 24, respectively. While both parents contributed favorable alleles to these QTL, unexpectedly, the high-yielding and less drought-tolerant parent contributed desirable alleles for drought tolerance at four out of six loci. Regardless of the origin, all QTL with significant drought tolerance could assist significantly in the development of drought-tolerant wheat cultivars, using genomics-assisted breeding approaches.
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Affiliation(s)
- S M Hisam Al Rabbi
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Ajay Kumar
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | | | - Suraj Sapkota
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States
| | - Mohammed S Alamri
- Department of Food Science and Nutrition, King Saud University, Riyadh, Saudi Arabia
| | - Elias M Elias
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Shahryar Kianian
- USDA-ARS Cereal Disease Laboratory, University of Minnesota, St. Paul, MN, United States
| | - Raed Seetan
- Department of Computer Science, Slippery Rock University, Slippery Rock, PA, United States
| | - Ali Missaoui
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States.,Department of Crop and Soil Sciences, University of Georgia, Griffin, GA, United States
| | - Shyam Solanki
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Mohamed Mergoum
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Griffin, GA, United States.,Department of Crop and Soil Sciences, University of Georgia, Griffin, GA, United States
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62
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Kaur H, Kohli SK, Khanna K, Bhardwaj R. Scrutinizing the impact of water deficit in plants: Transcriptional regulation, signaling, photosynthetic efficacy, and management. Physiol Plant 2021; 172:935-962. [PMID: 33686690 DOI: 10.1111/ppl.13389] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 01/18/2021] [Accepted: 03/03/2021] [Indexed: 06/12/2023]
Abstract
Suboptimal availability of water limits plant growth, development, and performance. Drought is one of the leading factors responsible for worldwide crop yield reduction. In the future, owing to climate changes, more agricultural land will be affected by prolonged periods of water deficit. Thus, understanding the fundamental mechanism of drought response is a major scientific concern for improvement of crop production. To combat drought stress, plants deploy varied mechanistic strategies and alter their morphological, physiochemical, and molecular attributes. This helps plant to enhance water uptake and storage, reduce water loss and avoid wilting. Induction of several transcription factors and drought responsive genes leads to synthesis of stress proteins, regulation of water channels i.e. aquaporins and production of osmolytes that are essential for maintenance of osmotic balance at the cellular level. Self- and hormone-regulated signaling pathways are often stimulated by plants after receiving drought stress signals via secondary messengers, mitogen-activated protein kinases, and stress hormones. These signaling cascades often leads to stomatal closure and reduction in transpiration rates. Reduced carbon dioxide diffusion in chloroplast, lowered efficacy of photosystems, and other metabolic constraints limits the key regulatory photosynthetic process during water deficit. The impact of these stomatal and nonstomatal limitations varies with stress intensity, superimposed stresses and plant species. A clear understanding of the drought resistance process is thus important before adopting strategies for imparting drought tolerance in plants. These management practices at present include exogenous hormone application, breeding, and genetic engineering techniques for combating the water deficit issues.
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Affiliation(s)
- Harsimran Kaur
- PG Department of Agriculture, Plant Protection Division, Khalsa College, Amritsar, Punjab, India
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
| | - Sukhmeen Kaur Kohli
- PG Department of Agriculture, Plant Protection Division, Khalsa College, Amritsar, Punjab, India
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
| | - Kanika Khanna
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
| | - Renu Bhardwaj
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
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63
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Kaya C. Nitrate reductase is required for salicylic acid-induced water stress tolerance of pepper by upraising the AsA-GSH pathway and glyoxalase system. Physiol Plant 2021; 172:351-370. [PMID: 32542778 DOI: 10.1111/ppl.13153] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 05/18/2020] [Accepted: 06/11/2020] [Indexed: 05/07/2023]
Abstract
A trial was conducted to evaluate whether nitrate reductase (NR) participates in salicylic acid (SA)-improved water stress (WS) tolerance in pepper (Capsicum annuum L.) plants. Before starting WS treatment, 0.5 mM SA was applied to half of the well-watered (WW) plants as well as to WS-plants as a foliar spray once a day for a week. The soil water holding capacity was maintained at 40 and 80% of the full water storing capacity for WS and and well-watered (WW) plants, respectively. Water stress caused substantial decreases in total plant dry weight, Fv /Fm , chlorophyll a and b, relative water content, leaf water potential (ΨI) by 53, 37, 49, 21, 36 and 33%, respectively relative to control, but significant increases in malondialdehyde (MDA), hydrogen peroxide (H2 O2 ), electrolyte leakage (EL), methylglyoxal (MG), proline, key antioxidant enzymes' activities, NO and NR activity. The SA reduced oxidative stress, but improved antioxidant defence system, ascorbate-glutathione (AsA-GSH) cycle enzymes, glyoxalase system-related enzymes, glyoxalase I (Gly I) and glyoxalase II (Gly II), plant growth, photosynthetic traits, NO, NR and proline. SA-induced WS tolerance was further improved by supplementation of sodium nitroprusside (SNP), a donor of NO. NR inhibitor, sodium tungstate (ST) was applied in conjunction with SA and SA + SNP to the WW and WS-plants to assess whether NR contributes to SA-improved WS tolerance. ST abolished the beneficial effects of SA by reducing NO and NR activity in WS-pepper, but the application of SNP along with SA + ST reversed negative effects of ST, showing that NO and NR are jointly needed for SA-induced WS tolerance of pepper plants.
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Affiliation(s)
- Cengiz Kaya
- Soil Science and Plant Nutrition Department, Agriculture Faculty, Harran University, Sanliurfa, Turkey
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64
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Abstract
As temperatures rise and water availability decreases, the water decit is gaining attention regarding future agricultural production. Drought stress is a global issue and adversely affects the productivity of different crops. In this study, drought-tolerant varieties of oats were screened to determine drought-tolerant varieties that may be employed in drought-prone areas to achieve sustainable development and mitigate the impact of climate change. To do so, the growth and stress adaptive mechanism of 15 domestic and overseas oat cultivars at the seedling stage were analyzed. Water stress was simulated using 20% polyethylene glycol (PEG-6000). The results showed that the soluble protein content and superoxide dismutase activity of variety DY2 significantly increased under drought stress, whereas the photochemical efficiency and relative water content decreased slightly. The relative electrical conductivity (REC) and drought damage index of the QH444 and DY2 varieties increased the least. The peroxidase content of Q1 and DY2 significantly increased, and the catalase activity of Q1, QH444, and DY2 also substantially increased. Principal component analysis revealed that nine physiological and biochemical parameters were transformed into three independent comprehensive indexes. The comprehensive evaluation results showed that DY2, LN, and Q1 exhibited a strong drought resistance capacity and could be used as a reference material for a drought-resistant oat breeding program. The gray correlation analysis also indicated that Fv/Fm, chlorophyll, REC, and malondialdehyde could be used as key indexes for evaluating the drought resistance of oat.
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65
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Deery DM, Smith DJ, Davy R, Jimenez-Berni JA, Rebetzke GJ, James RA. Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR. Plant Phenomics 2021; 2021:9842178. [PMID: 34250506 PMCID: PMC8240513 DOI: 10.34133/2021/9842178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/29/2021] [Indexed: 05/29/2023]
Abstract
Canopy ground cover (GC) is an important agronomic measure for evaluating crop establishment and early growth. This study evaluates the reliability of GC estimates, in the presence of varying light and dew on leaves, from three different ground-based sensors: (1) normalized difference vegetation index (NDVI) from the commercially available GreenSeeker®; (2) RGB images from a digital camera, where GC was determined as the portion of pixels from each image meeting a greenness criterion (i.e., (Green - Red)/(Green + Red) > 0); and (3) LiDAR using two separate approaches: (a) GC from LiDAR red reflectance (whereby red reflectance less than five was classified as vegetation) and (b) GC from LiDAR height (whereby height greater than 10 cm was classified as vegetation). Hourly measurements were made early in the season at two different growth stages (tillering and stem elongation), among wheat genotypes highly diverse for canopy characteristics. The active NDVI showed the least variation through time and was particularly stable, regardless of the available light or the presence of dew. In addition, between-sample-time Pearson correlations for NDVI were consistently high and significant (P < 0.0001), ranging from 0.89 to 0.98. In comparison, GC from LiDAR and RGB showed greater variation across sampling times, and LiDAR red reflectance was strongly influenced by the presence of dew. Excluding times when the light was exceedingly low, correlations between GC from RGB and NDVI were consistently high (ranging from 0.79 to 0.92). The high reliability of the active NDVI sensor potentially affords a high degree of flexibility for users by enabling sampling across a broad range of acceptable light conditions.
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Affiliation(s)
| | | | - Robert Davy
- CSIRO Information Management and Technology, Canberra, ACT, Australia
| | - Jose A. Jimenez-Berni
- CSIRO Agriculture and Food, Canberra, ACT, Australia
- Instituto Agricultura Sostenible, Consejo Superior de Investigaciones Cientificas, Cordoba, Spain
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66
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Slama A, Cherif A, Boukhchina S, Di Maro A. Importance of New Edible Oil Extracted from Seeds of Seven Cereals Species. J FOOD QUALITY 2021; 2021:1-8. [DOI: 10.1155/2021/5531414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Cereals constitute a major source of human and animal nutrition. In spite of the extensive production of numerous cereal species, some information is unavailable in terms of lipid composition. Due to the oil increasing demand by the overgrowth of the world population, oleaginous species have encountered problems in recent years. In order to find new sources of edible oil, the aim of this study was to describe the importance of seventeen varieties oil of seven cereal species. Oils were extracted by the Soxhlet method, and fatty acids were measured by gas chromatography. The present study demonstrated that the lipid content of cereal seeds ranged from 1.42% to 5.97%. In average, oat, millet, and maize had significantly higher lipid content, respectively, 5.97%, 5.06%, and 4.71%. The main fatty acid recorded in the studied cereal species, except oat, was linoleic acid C18 : 2 (ω6). Regarding the essential fatty acids linoleic acid C18 : 2 and linolenic acid C18 : 3 (ω3), the oil of all studied species, except oat, was rich in ω6 fatty acids (47.50 to 60.13%) and poor in ω3 (0.45% to 5.33%). The content of unsaturated fatty acids in all studied species ranged from 77.22 to 81.89%. Cereal oil was considered as highly unsaturated oil with the presence of the essential fatty acids necessary for human health. Therefore, cereal oils could be commercialized in small quantities in pharmacies or parapharmacies.
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67
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Slama A, Cherif A, Boukhchina S. Importance of New Edible Oil Extracted from Seeds of Seven Cereals Species. J FOOD QUALITY 2021. [DOI: doi.org/10.1155/2021/5531414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Cereals constitute a major source of human and animal nutrition. In spite of the extensive production of numerous cereal species, some information is unavailable in terms of lipid composition. Due to the oil increasing demand by the overgrowth of the world population, oleaginous species have encountered problems in recent years. In order to find new sources of edible oil, the aim of this study was to describe the importance of seventeen varieties oil of seven cereal species. Oils were extracted by the Soxhlet method, and fatty acids were measured by gas chromatography. The present study demonstrated that the lipid content of cereal seeds ranged from 1.42% to 5.97%. In average, oat, millet, and maize had significantly higher lipid content, respectively, 5.97%, 5.06%, and 4.71%. The main fatty acid recorded in the studied cereal species, except oat, was linoleic acid C18 : 2 (ω6). Regarding the essential fatty acids linoleic acid C18 : 2 and linolenic acid C18 : 3 (ω3), the oil of all studied species, except oat, was rich in ω6 fatty acids (47.50 to 60.13%) and poor in ω3 (0.45% to 5.33%). The content of unsaturated fatty acids in all studied species ranged from 77.22 to 81.89%. Cereal oil was considered as highly unsaturated oil with the presence of the essential fatty acids necessary for human health. Therefore, cereal oils could be commercialized in small quantities in pharmacies or parapharmacies.
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Affiliation(s)
- Amor Slama
- University of Tunis El Manar, Faculty of Sciences of Tunis, LR18ES03,Laboratory of Neurophysiology, Cellular Physiopathology and Biomolecules Valorisation, Tunis 2092, Tunisia
- University of Carthage, Faculty of Sciences of Bizerte, Jarzouna-Bizerte 7021, Tunisia
| | - Ammar Cherif
- University of Tunis El Manar, Faculty of Sciences of Tunis, LR18ES03,Laboratory of Neurophysiology, Cellular Physiopathology and Biomolecules Valorisation, Tunis 2092, Tunisia
- Department of Science Laboratories, College of Sciences and Arts, Qassim University, Ar Rass 51921, Saudi Arabia
| | - Sadok Boukhchina
- University of Tunis El Manar, Faculty of Sciences of Tunis, LR18ES03,Laboratory of Neurophysiology, Cellular Physiopathology and Biomolecules Valorisation, Tunis 2092, Tunisia
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68
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Krishnan V, Awana M, Singh A, Goswami S, Vinutha T, Kumar RR, Singh SP, Sathyavathi T, Sachdev A, Praveen S. Starch molecular configuration and starch-sugar homeostasis: Key determinants of sweet sensory perception and starch hydrolysis in pearl millet (Pennisetum glaucum). Int J Biol Macromol 2021; 183:1087-1095. [PMID: 33965496 DOI: 10.1016/j.ijbiomac.2021.05.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/09/2021] [Accepted: 05/02/2021] [Indexed: 11/28/2022]
Abstract
Starch-sugar homeostasis and starch molecular configuration regulates the dynamics of starch digestibility which result in sweet sensory perception and eliciting glycemic response, which has been measured in vitro as inherent glycemic potential (IGP). The objective of the research was to understand the key determinants of IGP as well as sweetness in different Pearl millet (PM) genotypes. To understand the intricate balance between starch and sugar, total starch content (TSC) and total soluble sugars (TSS) were evaluated. Higher concentrations of TSC (67.8%), TSS (2.75%), glucose (0.78%) and sucrose (1.68%) were found in Jafarabadi Bajra. Considering the role of compact molecular configuration of starch towards digestibility, X-ray powder diffraction (XRD) analysis was performed. A-type crystallinity with crystallinity degree (CD %) ranged from 53.53-62.63% among different genotypes, where the least CD% (53.53%) was found in Jafarabadi Bajra. In vitro starch hydrolyzation kinetics carried out to determine IGP, revealed a maximum of 77.05% IGP with minimum 1.42% resistant starch (RS) in Jafarabadi Bajra. Overall our results suggest higher sweet sensory perception of Jafarabadi Bajra which is contributed by the matrix composition with least molecular compactness of starch. Also, the interdependence among starch quality parameters; CD%, IGP, RS and amylose has also been discussed.
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Affiliation(s)
- Veda Krishnan
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Monika Awana
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Archana Singh
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Suneha Goswami
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - T Vinutha
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Ranjeet Ranjan Kumar
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - S P Singh
- Division of Genetics, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Tara Sathyavathi
- All India Coordinated Research Project on Pearl Millet (AICRP-PM), ICAR, Jodhpur, India
| | - Archana Sachdev
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Shelly Praveen
- Division of Biochemistry, ICAR- Indian Agricultural Research Institute (IARI), New Delhi, India.
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69
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Popowski E, Thomson SJ, Knäbel M, Tahir J, Crowhurst RN, Davy M, Foster TM, Schaffer RJ, Tustin DS, Allan AC, McCallum J, Chagné D. Construction of a high density genetic map for hexaploid kiwifruit (Actinidia chinensis var. deliciosa) using genotyping by sequencing. G3 (Bethesda) 2021; 11:6261761. [PMID: 34009255 PMCID: PMC8495948 DOI: 10.1093/g3journal/jkab142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 03/07/2021] [Indexed: 11/19/2022]
Abstract
Commercially grown kiwifruit (genus Actinidia) are generally of two sub-species which have a base haploid genome of 29 chromosomes. The yellow-fleshed Actinidia chinensis var. chinensis, is either diploid (2n = 2x = 58) or tetraploid (2n = 4x = 116) and the green-fleshed cultivar A. chinensis var. deliciosa “Hayward,” is hexaploid (2n = 6x = 174). Advances in breeding green kiwifruit could be greatly sped up by the use of molecular resources for more efficient and faster selection, for example using marker-assisted selection (MAS). The key genetic marker that has been implemented for MAS in hexaploid kiwifruit is for gender testing. The limited marker-trait association has been reported for other polyploid kiwifruit for fruit and production traits. We have constructed a high-density linkage map for hexaploid green kiwifruit using genotyping-by-sequence (GBS). The linkage map obtained consists of 3686 and 3940 markers organized in 183 and 176 linkage groups for the female and male parents, respectively. Both parental linkage maps are co-linear with the A. chinensis “Red5” reference genome of kiwifruit. The linkage map was then used for quantitative trait locus (QTL) mapping, and successfully identified QTLs for king flower number, fruit number and weight, dry matter accumulation, and storage firmness. These are the first QTLs to be reported and discovered for complex traits in hexaploid kiwifruit.
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Affiliation(s)
- Elizabeth Popowski
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Te Puke, New Zealand
| | | | | | | | | | - Marcus Davy
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Te Puke, New Zealand
| | | | - Robert J Schaffer
- Plant & Food Research, Motueka, New Zealand.,School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | | | - Andrew C Allan
- Plant & Food Research, Auckland, New Zealand.,School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | | | - David Chagné
- Plant & Food Research, Palmerston North, New Zealand
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70
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Elsayed S, El-hendawy S, Khadr M, Elsherbiny O, Al-suhaibani N, Alotaibi M, Tahir MU, Darwish W. Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes. Remote Sensing 2021; 13:1679. [DOI: 10.3390/rs13091679] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Advances in proximal hyperspectral sensing tools, chemometric techniques, and data-driven modeling have enhanced precision irrigation management by facilitating the monitoring of several plant traits. This study investigated the performance of remote sensing indices derived from thermal and red-green-blue (RGB) images combined with stepwise multiple linear regression (SMLR) and an integrated adaptive neuro-fuzzy inference system with a genetic algorithm (ANFIS-GA) for monitoring the biomass fresh weight (BFW), biomass dry weight (BDW), biomass water content (BWC), and total tuber yield (TTY) of two potato varieties under 100%, 75%, and 50% of the estimated crop evapotranspiration (ETc). Results showed that the plant traits and indices varied significantly between the three irrigation regimes. Furthermore, all of the indices exhibited strong relationships with BFW, CWC, and TTY (R2 = 0.80–0.92) and moderate to weak relationships with BDW (R2 = 0.25–0.65) when considered for each variety across the irrigation regimes, for each season across the varieties and irrigation regimes, and across all data combined, but none of the indices successfully assessed any of the plant traits when considered for each irrigation regime across the two varieties. The SMLR and ANFIS-GA models gave the best predictions for the four plant traits in the calibration and testing stages, with the exception of the SMLR testing model for BDW. Thus, the use of thermal and RGB imaging indices with ANFIS-GA models could be a practical tool for managing the growth and production of potato crops under deficit irrigation regimes.
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71
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Sharma R, Sharma S, Dar B, Singh B. Millets as potential nutri‐cereals: a review of nutrient composition, phytochemical profile and techno‐functionality. Int J Food Sci Technol 2021. [DOI: 10.1111/ijfs.15044] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Rajan Sharma
- Department of Food Science & Technology Punjab Agricultural University Ludhiana141001India
| | - Savita Sharma
- Department of Food Science & Technology Punjab Agricultural University Ludhiana141001India
| | - B.N. Dar
- Department of Food Technology Islamic University of Science & Technology 1‐University Avenue Awantipora Srinagar Kashmir192122India
| | - Baljit Singh
- Department of Food Science & Technology Punjab Agricultural University Ludhiana141001India
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72
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Ullah S, Randhawa IAS, Trethowan R. Genome-wide association study of multiple traits linked to heat tolerance in emmer-derived hexaploid wheat genotypes. Mol Breed 2021; 41:29. [PMID: 37309354 PMCID: PMC10236052 DOI: 10.1007/s11032-021-01222-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/17/2021] [Indexed: 06/13/2023]
Abstract
Heat stress tolerance in plants is a complex trait controlled by multiple genes of minor effect which are influenced by the environment and this makes breeding and selection complicated. Emmer wheat (Triticum dicoccon Schrank) carries valuable diversity that can be used to improve the heat tolerance of modern bread wheat. A diverse set of emmer-based genotypes was developed by crossing emmer wheat with hexaploid wheat. These materials, along with their hexaploid recurrent parents and commercial cultivars, were evaluated at optimum (E1) and heat stressed (E2) sowing times in the field for three consecutive years (2014-2016). The material was genotyped using the Infinium iSelect SNP 90K SNP Assay. The phenotypic data were combined across years within each sowing time and best linear unbiased estimators calculated for each genotype in each environment. These estimates were used for GWAS analysis. Significant phenotypic and genotypic variation was observed for all traits. A total of 125 and 142 marker-trait associations (MTAs) were identified in E1 and E2, respectively. The highest number of MTAs were observed on the A genome (106), followed by the B (105) and D (56) genomes. MTAs with pleiotropic effects within and across the environments were observed. Many of the MTAs found were reported previously for various traits, and a few significant MTAs under heat stress were new and linked to emmer genome. Genomic regions identified on chromosomes 2B and 3A had a significant positive impact on grain yield under stress with a 7% allelic effect. Genomic regions on chromosomes 1A and 4B contributed 11% and 9% of the variation for thousand kernel weight (TKW) under heat stress respectively. Following fine mapping, these regions could be used for marker-assisted selection to improve heat tolerance in wheat. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01222-3.
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Affiliation(s)
- Smi Ullah
- School of Life and Environmental Sciences, Plant Breeding Institute and Sydney Institute of Agriculture, The University of Sydney, Narrabri, New South Wales 2390 Australia
| | - Imtiaz A. S. Randhawa
- School of Veterinary Science, The University of Queensland, Gatton, Queensland 4343 Australia
| | - Richard Trethowan
- School of Life and Environmental Sciences, Plant Breeding Institute and Sydney Institute of Agriculture, The University of Sydney, Narrabri, New South Wales 2390 Australia
- School of Life and Environmental Sciences, Plant Breeding Institute and Sydney Institute of Agriculture, The University of Sydney, Cobbitty, New South Wales 2570 Australia
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73
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Abstract
Development of high-throughput phenotyping technologies has progressed considerably in the last 10 years. These technologies provide precise measurements of desired traits among thousands of field-grown plants under diversified environments; this is a critical step towards selection of better performing lines as to yield, disease resistance, and stress tolerance to accelerate crop improvement programs. High-throughput phenotyping techniques and platforms help unraveling the genetic basis of complex traits associated with plant growth and development and targeted traits. This review focuses on the advancements in technologies involved in high-throughput, field-based, aerial, and unmanned platforms. Development of user-friendly data management tools and softwares to better understand phenotyping will increase the use of field-based high-throughput techniques, which have potential to revolutionize breeding strategies and meet the future needs of stakeholders.
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Affiliation(s)
- Sumit Jangra
- Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, 125004 India
| | - Vrantika Chaudhary
- Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, 125004 India
| | - Ram C. Yadav
- Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, 125004 India
| | - Neelam R. Yadav
- Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, 125004 India
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74
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Halder T, Liu H, Chen Y, Yan G, Siddique KHM. Identification of Candidate Genes for Root Traits Using Genotype-Phenotype Association Analysis of Near-Isogenic Lines in Hexaploid Wheat ( Triticum aestivum L.). Int J Mol Sci 2021; 22:3579. [PMID: 33808237 DOI: 10.3390/ijms22073579] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/09/2021] [Accepted: 03/25/2021] [Indexed: 11/17/2022] Open
Abstract
Global wheat (Triticum aestivum L.) production is constrained by different biotic and abiotic stresses, which are increasing with climate change. An improved root system is essential for adaptability and sustainable wheat production. In this study, 10 pairs of near-isogenic lines (NILs)—targeting four genomic regions (GRs) on chromosome arms 4BS, 4BL, 4AS, and 7AL of hexaploid wheat—were used to phenotype root traits in a semi-hydroponic system. Seven of the 10 NIL pairs significantly differed between their isolines for 11 root traits. The NIL pairs targeting qDSI.4B.1 GR varied the most, followed by the NIL pair targeting qDT.4A.1 and QHtscc.ksu-7A GRs. For pairs 5–7 targeting qDT.4A.1 GR, pair 6 significantly differed in the most root traits. Of the 4 NIL pairs targeting qDSI.4B.1 GR, pairs 2 and 4 significantly differed in 3 and 4 root traits, respectively. Pairs 9 and 10 targeting QHtscc.ksu-7A GR significantly differed in 1 and 4 root traits, respectively. Using the wheat 90K Illumina iSelect array, we identified 15 putative candidate genes associated with different root traits in the contrasting isolines, in which two UDP-glycosyltransferase (UGT)-encoding genes, TraesCS4A02G185300 and TraesCS4A02G442700, and a leucine-rich repeat receptor-like protein kinase (LRR-RLK)-encoding gene, TraesCS4A02G330900, also showed important functions for root trait control in other crops. This study characterized, for the first time, that these GRs control root traits in wheat, and identified candidate genes, although the candidate genes will need further confirmation and validation for marker-assisted wheat breeding.
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Rufo R, Soriano JM, Villegas D, Royo C, Bellvert J. Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess Agronomic Performance of Wheat Landraces and Cultivars in a Mediterranean-Type Environment. Remote Sensing 2021; 13:1187. [DOI: 10.3390/rs13061187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The adaptability and stability of new bread wheat cultivars that can be successfully grown in rainfed conditions are of paramount importance. Plant improvement can be boosted using effective high-throughput phenotyping tools in dry areas of the Mediterranean basin, where drought and heat stress are expected to increase yield instability. Remote sensing has been of growing interest in breeding programs since it is a cost-effective technology useful for assessing the canopy structure as well as the physiological traits of large genotype collections. The purpose of this study was to evaluate the use of a 4-band multispectral camera on-board an unmanned aerial vehicle (UAV) and ground-based RGB imagery to predict agronomic traits as well as quantify the best estimation of leaf area index (LAI) in rainfed conditions. A collection of 365 bread wheat genotypes, including 181 Mediterranean landraces and 184 modern cultivars, was evaluated during two consecutive growing seasons. Several vegetation indices (VI) derived from multispectral UAV and ground-based RGB images were calculated at different image acquisition dates of the crop cycle. The modified triangular vegetation index (MTVI2) proved to have a good accuracy to estimate LAI (R2 = 0.61). Although the stepwise multiple regression analysis showed that grain yield and number of grains per square meter (NGm2) were the agronomic traits most suitable to be predicted, the R2 were low due to field trials were conducted under rainfed conditions. Moreover, the prediction of agronomic traits was slightly better with ground-based RGB VI rather than with UAV multispectral VIs. NDVI and GNDVI, from multispectral images, were present in most of the prediction equations. Repeated measurements confirmed that the ability of VIs to predict yield depends on the range of phenotypic data. The current study highlights the potential use of VI and RGB images as an efficient tool for high-throughput phenotyping under rainfed Mediterranean conditions.
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Bhandari M, Baker S, Rudd JC, Ibrahim AMH, Chang A, Xue Q, Jung J, Landivar J, Auvermann B. Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote Sensing 2021; 13:1144. [DOI: 10.3390/rs13061144] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Drought significantly limits wheat productivity across the temporal and spatial domains. Unmanned Aerial Systems (UAS) has become an indispensable tool to collect refined spatial and high temporal resolution imagery data. A 2-year field study was conducted in 2018 and 2019 to determine the temporal effects of drought on canopy growth of winter wheat. Weekly UAS data were collected using red, green, and blue (RGB) and multispectral (MS) sensors over a yield trial consisting of 22 winter wheat cultivars in both irrigated and dryland environments. Raw-images were processed to compute canopy features such as canopy cover (CC) and canopy height (CH), and vegetation indices (VIs) such as Normalized Difference Vegetation Index (NDVI), Excess Green Index (ExG), and Normalized Difference Red-edge Index (NDRE). The drought was more severe in 2018 than in 2019 and the effects of growth differences across years and irrigation levels were visible in the UAS measurements. CC, CH, and VIs, measured during grain filling, were positively correlated with grain yield (r = 0.4–0.7, p < 0.05) in the dryland in both years. Yield was positively correlated with VIs in 2018 (r = 0.45–0.55, p < 0.05) in the irrigated environment, but the correlations were non-significant in 2019 (r = 0.1 to −0.4), except for CH. The study shows that high-throughput UAS data can be used to monitor the drought effects on wheat growth and productivity across the temporal and spatial domains.
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Bányai J, Maccaferri M, Láng L, Mayer M, Tóth V, Cséplő M, Pál M, Mészáros K, Vida G. Abiotic Stress Response of Near-Isogenic Spring Durum Wheat Lines under Different Sowing Densities. Int J Mol Sci 2021; 22:2053. [PMID: 33669605 DOI: 10.3390/ijms22042053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/02/2021] [Accepted: 02/07/2021] [Indexed: 11/29/2022] Open
Abstract
A detailed study was made of changes in the plant development, morphology, physiology and yield biology of near-isogenic lines of spring durum wheat sown in the field with different plant densities in two consecutive years (2013–2014). An analysis was made of the drought tolerance of isogenic lines selected for yield QTLs (QYld.idw-2B and QYld.idw-3B), and the presence of QTL effects was examined in spring sowings. Comparisons were made of the traits of the isogenic pairs QYld.idw-3B++ and QYld.idw-3B−− both within and between the pairs. Changes in the polyamine content, antioxidant enzyme activity, chlorophyll content of the flag leaf and the normalized difference vegetation index (NDVI) of the plot were monitored in response to drought stress, and the relationship between these components and the yield was analyzed. In the case of moderate stress, differences between the NIL++ and NIL−− pairs appeared in the early dough stage, indicating that the QYld.idw-3B++ QTL region was able to maintain photosynthetic activity for a longer period, resulting in greater grain number and grain weight at the end of the growing period. The chlorophyll content of the flag leaf in phenophases Z77 and Z83 was significantly correlated with the grain number and grain weight of the main spike. The grain yield was greatly influenced by the treatment, while the genotype had a significant effect on the thousand-kernel weight and on the grain number and grain weight of the main spike. When the lines were compared in the non-irrigated treatment, significantly more grains and significantly higher grain weight were observed in the main spike in NIL++ lines, confirming the theory that the higher yields of the QYld.idw-3B++ lines when sown in spring and exposed to drought stress could be attributed to the positive effect of the “Kofa” QTL on chromosome 3B.
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Farouk I, Alsaleh A, Motowaj J, Gaboun F, Belkadi B, Filali Maltouf A, Kehel Z, Elouafi I, Nsarellah N, M Nachit M. Detection of grain yield QTLs in the durum population Lahn/Cham1 tested in contrasting environments. ACTA ACUST UNITED AC 2021; 45:65-78. [PMID: 33597823 PMCID: PMC7877719 DOI: 10.3906/biy-2008-41] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/19/2020] [Indexed: 11/03/2022]
Abstract
Durum wheat (Triticum turgidum L. var durum) is tetraploid wheat (AABB); it is the main source of semolina and other pasta products. Grain yield in wheat is quantitatively inherited and influenced by the environment. The genetic map construction constitutes the essential step in identifying quantitative trait loci (QTLs) linked to complex traits, such as grain yield. The study aimed to construct a genetic linkage map of two parents that are widely grown durum cultivars (Lahn and Cham1) in the Mediterranean basin, which is characterized by varying climate changes. The genetic linkage map of Lahn/Cham1 population consisted of 112 recombinant inbred lines (RILs) and was used to determine QTLs linked to the grain yield in 11 contrasting environments (favorable, cold, dry, and hot). Simple sequence repeat (SSR) molecular markers were used to construct an anchor map, which was later enriched with single nucleotide polymorphisms (SNPs). The map was constructed with 247 SSRs and enriched with 1425 SNPs. The map covered 6122.22 cM. One hundred and twenty-six QTLs were detected on different chromosomes. Chromosomes 2A and 4B harbored the most significant grain yield QTLs. Furthermore, by comparison with several wheat mapping populations, all the A and B chromosomes of Lahn/Cham1 QTLs contributed to grain yield. The results showed that the detected QTLs can be used as a potential candidate for marker-assisted selection in durum breeding programs.
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Affiliation(s)
- Issame Farouk
- Laboratory of Microbiology and Molecular Biology, Department of Biology, Med V University, Rabat Morocco
| | - Ahmad Alsaleh
- Department of Science and Technology Bozok University, Yozgat Turkey
| | - Jihan Motowaj
- ICARDA, The International Center for Agricultural Research in the Dry Areas, Rabat Morocco
| | - Fatima Gaboun
- INRA, National Institute of Agronomical Research, Unity of Biotechnology Research, Rabat Morocco
| | - Bouchra Belkadi
- Laboratory of Microbiology and Molecular Biology, Department of Biology, Med V University, Rabat Morocco
| | - Abdelkarim Filali Maltouf
- Laboratory of Microbiology and Molecular Biology, Department of Biology, Med V University, Rabat Morocco
| | - Zakaria Kehel
- ICARDA, The International Center for Agricultural Research in the Dry Areas, Rabat Morocco
| | - Ismahane Elouafi
- ICBA, International Center for Biosaline Agriculture, Dubai United Arab Emirates
| | - Nasserelhaq Nsarellah
- INRA, National Institute of Agronomical Research, Unity of Biotechnology Research, Rabat Morocco
| | - Miloudi M Nachit
- ICARDA, The International Center for Agricultural Research in the Dry Areas, Rabat Morocco
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Mangini G, Blanco A, Nigro D, Signorile MA, Simeone R. Candidate Genes and Quantitative Trait Loci for Grain Yield and Seed Size in Durum Wheat. Plants (Basel) 2021; 10:plants10020312. [PMID: 33562879 PMCID: PMC7916090 DOI: 10.3390/plants10020312] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/02/2021] [Accepted: 02/03/2021] [Indexed: 11/22/2022]
Abstract
Grain yield (YLD) is affected by thousand kernel weight (TKW) which reflects the combination of grain length (GL), grain width (GW) and grain area (AREA). Grain weight is also influenced by heading time (HT) and plant height (PH). To detect candidate genes and quantitative trait loci (QTL) of yield components, a durum wheat recombinant inbred line (RIL) population was evaluated in three field trials. The RIL was genotyped with a 90K single nucleotide polymorphism (SNP) array and a high-density genetic linkage map with 5134 markers was obtained. A total of 30 QTL were detected including 23 QTL grouped in clusters on 1B, 2A, 3A, 4B and 6B chromosomes. A QTL cluster on 2A chromosome included a major QTL for HT co-located with QTL for YLD, TKW, GL, GW and AREA, respectively. The photoperiod sensitivity (Ppd-A1) gene was found in the physical position of this cluster. Serine carboxypeptidase, Big grain 1 and β-fructofuranosidase candidate genes were mapped in clusters containing QTL for seed size. This study showed that yield components and phenological traits had higher inheritances than grain yield, allowing an accurate QTL cluster detection. This was a requisite to physically map QTL on durum genome and to identify candidate genes affecting grain yield.
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Affiliation(s)
- Giacomo Mangini
- Institute of Biosciences and Bioresources, National Research Council, Via Amendola 165/A, 70126 Bari, Italy
- Department of Soil, Plant and Food Sciences, Genetics and Plant Breeding Section, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (A.B.); (D.N.); (M.A.S.); (R.S.)
- Correspondence:
| | - Antonio Blanco
- Department of Soil, Plant and Food Sciences, Genetics and Plant Breeding Section, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (A.B.); (D.N.); (M.A.S.); (R.S.)
| | - Domenica Nigro
- Department of Soil, Plant and Food Sciences, Genetics and Plant Breeding Section, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (A.B.); (D.N.); (M.A.S.); (R.S.)
| | - Massimo Antonio Signorile
- Department of Soil, Plant and Food Sciences, Genetics and Plant Breeding Section, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (A.B.); (D.N.); (M.A.S.); (R.S.)
| | - Rosanna Simeone
- Department of Soil, Plant and Food Sciences, Genetics and Plant Breeding Section, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy; (A.B.); (D.N.); (M.A.S.); (R.S.)
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Liu M, He W, Zhang A, Zhang L, Sun D, Gao Y, Ni P, Ma X, Cui Z, Ruan Y. Genetic analysis of maize shank length by QTL mapping in three recombinant inbred line populations. Plant Sci 2021; 303:110767. [PMID: 33487352 DOI: 10.1016/j.plantsci.2020.110767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 11/12/2020] [Accepted: 11/17/2020] [Indexed: 06/12/2023]
Abstract
In maize, the shank is a unique tissue linking the stem to the ear. Shank length (SL) mainly affects the transport of photosynthetic products to the ear and the dehydration of kernels via regulated husk morphology. The limited studies on SL revealed it is a highly heritable quantitative trait controlled by significant additive and additive-dominance effects. However, the genetic basis of SL remains unclear. In this study, we analyzed three maize recombinant inbred line (RIL) populations to elucidate the molecular mechanism underlying the SL. The data indicated the SL varied among the three RIL populations and was highly heritable. Additionally, the SL was positively correlated with the husk length (HL), husk number (HN), ear length (EL), and ear weight (EW) in the BY815/K22 (BYK) and CI7/K22 (CIK) RIL populations, but was negatively correlated with the husk width (HW) in the BYK RIL population. Moreover, 10 quantitative trait loci (QTL) for SL were identified in the three RIL populations, five of which were large-effect QTL. The percentage of the total phenotypic variation explained by the QTL for SL was 13.67 %, 20.45 %, and 30.81 % in the BY815/DE3 (BYD), BYK, and CIK RIL populations, respectively. Further analyses uncovered some genetic overlap between SL and EL, SL and ear row number (ERN), SL and cob weight (CW), and SL and HN. Unlike the large-effect QTL qSL BYK-2-2, which spanned the centromere, the other four large-effect QTL were delimited to a single peak bin via bin map. Furthermore, 2, 5, 6, and 12 genes associated with SL were identified for qSL BYK-2-1, qSL CIK-2-1, qSL CIK-9-1, and qSL CIK-9-2, respectively. Five of the candidate genes for SL may contribute to the hormone metabolism and sphingolipid biosynthesis regulating cell elongation, division, differentiation, and expansion. These results may be relevant for future studies on the genetic basis of SL and for the molecular breeding of maize based on marker-assisted selection to develop new varieties with an ideal SL.
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Affiliation(s)
- Meiling Liu
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Wenshu He
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China; Department of Plant Production and Forestry Science, University of Lleida-Agrotecnio Center, Av. Alcalde Rovira Roure, Lleida, 25198, Spain
| | - Ao Zhang
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Lijun Zhang
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Daqiu Sun
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yuan Gao
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Pengzun Ni
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China
| | - Xinglin Ma
- Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Zhenhai Cui
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China.
| | - Yanye Ruan
- College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang, 110866, China.
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Zamaratskaia G, Gerhardt K, Wendin K. Biochemical characteristics and potential applications of ancient cereals - An underexploited opportunity for sustainable production and consumption. Trends Food Sci Technol 2021; 107:114-23. [DOI: 10.1016/j.tifs.2020.12.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Gómez-Candón D, Bellvert J, Royo C. Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping. Front Plant Sci 2021; 12:658357. [PMID: 33936143 PMCID: PMC8085348 DOI: 10.3389/fpls.2021.658357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/22/2021] [Indexed: 05/08/2023]
Abstract
The current lack of efficient methods for high throughput field phenotyping is a constraint on the goal of increasing durum wheat yields. This study illustrates a comprehensive methodology for phenotyping this crop's water use through the use of the two-source energy balance (TSEB) model employing very high resolution imagery. An unmanned aerial vehicle (UAV) equipped with multispectral and thermal cameras was used to phenotype 19 durum wheat cultivars grown under three contrasting irrigation treatments matching crop evapotranspiration levels (ETc): 100%ETc treatment meeting all crop water requirements (450 mm), 50%ETc treatment meeting half of them (285 mm), and a rainfed treatment (122 mm). Yield reductions of 18.3 and 48.0% were recorded in the 50%ETc and rainfed treatments, respectively, in comparison with the 100%ETc treatment. UAV flights were carried out during jointing (April 4th), anthesis (April 30th), and grain-filling (May 22nd). Remotely-sensed data were used to estimate: (1) plant height from a digital surface model (H, R 2 = 0.95, RMSE = 0.18m), (2) leaf area index from multispectral vegetation indices (LAI, R 2 = 0.78, RMSE = 0.63), and (3) actual evapotranspiration (ETa) and transpiration (T) through the TSEB model (R 2 = 0.50, RMSE = 0.24 mm/h). Compared with ground measurements, the four traits estimated at grain-filling provided a good prediction of days from sowing to heading (DH, r = 0.58-0.86), to anthesis (DA, r = 0.59-0.85) and to maturity (r = 0.67-0.95), grain-filling duration (GFD, r = 0.54-0.74), plant height (r = 0.62-0.69), number of grains per spike (NGS, r = 0.41-0.64), and thousand kernel weight (TKW, r = 0.37-0.42). The best trait to estimate yield, DH, DA, and GFD was ETa at anthesis or during grain filling. Better forecasts for yield-related traits were recorded in the irrigated treatments than in the rainfed one. These results show a promising perspective in the use of energy balance models for the phenotyping of large numbers of durum wheat genotypes under Mediterranean conditions.
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Affiliation(s)
- David Gómez-Candón
- Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology (IRTA), Fruitcentre, PCiTAL, Parc Científic i Tecnològic Agroalimentari de Gardeny, Lleida, Spain
- *Correspondence: David Gómez-Candón
| | - Joaquim Bellvert
- Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology (IRTA), Fruitcentre, PCiTAL, Parc Científic i Tecnològic Agroalimentari de Gardeny, Lleida, Spain
| | - Conxita Royo
- Sustainable Field Crops Program, Institute of Agrifood Research and Technology (IRTA), Lleida, Spain
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Arjona JM, Villegas D, Ammar K, Dreisigacker S, Alfaro C, Royo C. The Effect of Photoperiod Genes and Flowering Time on Yield and Yield Stability in Durum Wheat. Plants (Basel) 2020; 9:E1723. [PMID: 33297379 DOI: 10.3390/plants9121723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 11/23/2022]
Abstract
This study analysed the effect of flowering time as influenced by photoperiod sensitivity genes on yield and yield stability in durum wheat. Twenty-three spring genotypes harbouring different allele combinations at Ppd-A1 and Ppd-B1 were grown in 15 field experiments at three sites at latitudes from 41° to 19° N (Spain, Mexico-North and Mexico-South). Low temperature and solar radiation before flowering and long day length during grain-filling characteristic for the Spanish site resulted in high grain number/m2 (GN) and yield (GY), while a moderate GN combined with high solar radiation during grain-filling at Mexico-North led to heavier grains. Allele combination GS100-Ppd-A1a/Ppd-B1a reduced the flowering time up to nine days when compared with Ppd-A1b/Ppd-B1a. Differences in flowering time caused by Ppd-A1/Ppd-B1 allele combinations did not affect yield. Combinations GS105-Ppd-A1a/Ppd-B1b and Ppd-A1b/Ppd-B1b resulted in the highest GN, linked to spikelets/spike, which was higher in GS105-Ppd-A1a/Ppd-B1b due to more grains/spikelet. Flowering time caused by Eps had a minor effect on GN, spikes/m2 and grains/spike, but late flowering resulted in reduced grain weight and GY. Allele combinations harbouring alleles conferring a similar photoperiod sensitivity response at Ppd-A1 and Ppd-B1 resulted in greater yield stability than combinations that carry alleles conferring a different response. Allele combination GS100-Ppd-A1a/Ppd-B1a was the most suitable in terms of yield and yield stability of durum wheat cultivated under irrigation within the studied latitudes.
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84
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Gu Q, Ke H, Liu Z, Lv X, Sun Z, Zhang M, Chen L, Yang J, Zhang Y, Wu L, Li Z, Wu J, Wang G, Meng C, Zhang G, Wang X, Ma Z. A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton. Theor Appl Genet 2020; 133:3395-3408. [PMID: 32894321 DOI: 10.1007/s00122-020-03676-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 08/21/2020] [Indexed: 05/18/2023]
Abstract
A high-density linkage map of an intraspecific RIL population was constructed using 6187 bins to identify QTLs for fibre quality- and yield-related traits in upland cotton by whole-genome resequencing. Good fibre quality and high yield are important production goals in cotton (Gossypium hirsutum L.), which is a leading natural fibre crop worldwide. However, a greater understanding of the genetic variants underlying fibre quality- and yield-related traits is still required. In this study, a large-scale population including 588 F7 recombinant inbred lines, derived from an intraspecific cross between the upland cotton cv. Nongdamian13, which exhibits high quality, and Nongda601, which exhibits a high yield, was genotyped by using 232,946 polymorphic single-nucleotide polymorphisms obtained via a whole-genome resequencing strategy with 4.3-fold genome coverage. We constructed a high-density bin linkage map containing 6187 bin markers spanning 4478.98 cM with an average distance of 0.72 cM. We identified 58 individual quantitative trait loci (QTLs) and 25 QTL clusters harbouring 94 QTLs, and 119 previously undescribed QTLs controlling 13 fibre quality and yield traits across eight environments. Importantly, the QTL counts for fibre quality in the Dt subgenome were more than two times that in the At subgenome, and chromosome D02 harboured the greatest number of QTLs and clusters. Furthermore, we discovered 24 stable QTLs for fibre quality and 12 stable QTLs for yield traits. Four novel major stable QTLs related to fibre length, fibre strength and lint percentage, and seven previously unreported candidate genes with significantly differential expression between the two parents were identified and validated by RNA-seq. Our research provides valuable information for improving the fibre quality and yield in cotton breeding.
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Affiliation(s)
- Qishen Gu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Huifeng Ke
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Zhengwen Liu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Xing Lv
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Zhengwen Sun
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Man Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Liting Chen
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Jun Yang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Yan Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Liqiang Wu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Zhikun Li
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Jinhua Wu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Guoning Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Chengsheng Meng
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Guiyin Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China
| | - Xingfen Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
| | - Zhiying Ma
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
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Gupta P, Kabbaj H, El Hassouni K, Maccaferri M, Sanchez-Garcia M, Tuberosa R, Bassi FM. Genomic Regions Associated with the Control of Flowering Time in Durum Wheat. Plants (Basel) 2020; 9:plants9121628. [PMID: 33255147 PMCID: PMC7759329 DOI: 10.3390/plants9121628] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 01/17/2023]
Abstract
Flowering time is a critical stage for crop development as it regulates the ability of plants to adapt to an environment. To understand the genetic control of flowering time, a genome-wide association study (GWAS) was conducted to identify the genomic regions associated with the control of this trait in durum wheat (Triticum durum Desf.). A total of 96 landraces and 288 modern lines were evaluated for days to heading, growing degree days, and accumulated day length at flowering across 13 environments spread across Morocco, Lebanon, Mauritania, and Senegal. These environments were grouped into four pheno-environments based on temperature, day length, and other climatic variables. Genotyping with a 35K Axiom array generated 7652 polymorphic single nucleotide polymorphisms (SNPs) in addition to 3 KASP markers associated with known flowering genes. In total, 32 significant QTLs were identified in both landraces and modern lines. Some QTLs had a strong association with already known regulatory photoperiod genes, Ppd-A and Ppd-B, and vernalization genes Vrn-A1 and VrnA7. However, these loci explained only 5% to 20% of variance for days to heading. Seven QTLs overlapped between the two germplasm groups in which Q.ICD.Eps-03 and Q.ICD.Vrn-15 consistently affected flowering time in all the pheno-environments, while Q.ICD.Eps-09 and Q.ICD.Ppd-10 were significant only in two pheno-environments and the combined analysis across all environments. These results help clarify the genetic mechanism controlling flowering time in durum wheat and show some clear distinctions to what is known for common wheat (Triticum aestivum L.).
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Affiliation(s)
- Priyanka Gupta
- Department of Agricultural and Food Sciences, University of Bologna, Viale G Fanin 44, 40127 Bologna, Italy; (P.G.); (M.M.); (R.T.)
- International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco; (H.K.); (K.E.H.); (M.S.-G.)
| | - Hafssa Kabbaj
- International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco; (H.K.); (K.E.H.); (M.S.-G.)
| | - Khaoula El Hassouni
- International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco; (H.K.); (K.E.H.); (M.S.-G.)
| | - Marco Maccaferri
- Department of Agricultural and Food Sciences, University of Bologna, Viale G Fanin 44, 40127 Bologna, Italy; (P.G.); (M.M.); (R.T.)
| | - Miguel Sanchez-Garcia
- International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco; (H.K.); (K.E.H.); (M.S.-G.)
| | - Roberto Tuberosa
- Department of Agricultural and Food Sciences, University of Bologna, Viale G Fanin 44, 40127 Bologna, Italy; (P.G.); (M.M.); (R.T.)
| | - Filippo Maria Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco; (H.K.); (K.E.H.); (M.S.-G.)
- Correspondence: ; Tel.: +212-614-402-717
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86
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Shabannejad M, Bihamta MR, Majidi-Hervan E, Alipour H, Ebrahimi A. A simple, cost-effective high-throughput image analysis pipeline improves genomic prediction accuracy for days to maturity in wheat. Plant Methods 2020; 16:146. [PMID: 33292394 PMCID: PMC7607823 DOI: 10.1186/s13007-020-00686-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/15/2020] [Indexed: 05/05/2023]
Abstract
BACKGROUND High-throughput phenotyping and genomic selection accelerate genetic gain in breeding programs by advances in phenotyping and genotyping methods. This study developed a simple, cost-effective high-throughput image analysis pipeline to quantify digital images taken in a panel of 286 Iran bread wheat accessions under terminal drought stress and well-watered conditions. The color proportion of green to yellow (tolerance ratio) and the color proportion of yellow to green (stress ratio) was assessed for each canopy using the pipeline. The estimated tolerance and stress ratios were used as covariates in the genomic prediction models to evaluate the effect of change in canopy color on the improvement of the genomic prediction accuracy of different agronomic traits in wheat. RESULTS The reliability of the high-throughput image analysis pipeline was proved by three to four times of improvement in the accuracy of genomic predictions for days to maturity with the use of tolerance and stress ratios as covariates in the univariate genomic selection models. The higher prediction accuracies were attained for days to maturity when both tolerance and stress ratios were used as fixed effects in the univariate models. The results of this study indicated that the Bayesian ridge regression and ridge regression-best linear unbiased prediction methods were superior to other genomic prediction methods which were used in this study under terminal drought stress and well-watered conditions, respectively. CONCLUSIONS This study provided a robust, quick, and cost-effective machine learning-enabled image-phenotyping pipeline to improve the genomic prediction accuracy for days to maturity in wheat. The results encouraged the integration of phenomics and genomics in breeding programs.
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Affiliation(s)
- Morteza Shabannejad
- Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, P.O. Box 14515/775, Tehran, Iran
| | - Mohammad-Reza Bihamta
- Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, College of Agriculture and Natural Resources, University of Tehran, P.O. Box 4111, Karaj, Alborz, Iran.
| | - Eslam Majidi-Hervan
- Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, P.O. Box 14515/775, Tehran, Iran
| | - Hadi Alipour
- Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, P.O. Box 165, Urmia, Iran
| | - Asa Ebrahimi
- Department of Plant Breeding and Biotechnology, Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, P.O. Box 14515/775, Tehran, Iran
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Zheng X, Liu C, Qiao L, Zhao J, Han R, Wang X, Ge C, Zhang W, Zhang S, Qiao L, Zheng J, Hao C. The MYB transcription factor TaPHR3-A1 is involved in phosphate signaling and governs yield-related traits in bread wheat. J Exp Bot 2020; 71:5808-5822. [PMID: 32725154 DOI: 10.1093/jxb/eraa355] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 06/11/2023]
Abstract
Improved inorganic phosphate (Pi) use efficiency in crops will be important for sustainable agriculture. Exploring molecular mechanisms that regulate Pi uptake could provide useful information for breeding wheat with improved Pi use efficiency. Here, a TaPHR3-A1 (Gene ID: TraesCS7A02G415800) ortholog of rice OsPHR3 that functions in transcriptional regulation of Pi signaling was cloned from wheat chromosome 7A. Ectopic expression of TaPHR3-A1 in Arabidopsis and rice produced enhanced vegetative growth and more seeds. Overexpression in transgenic rice led to increased biomass, grain number, and primary panicle branching by 61.23, 42.12, and 36.34% compared with the wild type. Transgenic wheat lines with down-regulation of TaPHR3-A1 exhibited retarded growth and root hair development at the seedling stage, and showed yield-related effects at the adult stage when grown in both low- and sufficient Pi conditions, indicating that TaPHR3-A1 positively regulated tolerance to low Pi. Introgression lines further confirmed the effect of TaPHR3-A1 in improving grain number. The Chinese wheat mini core collection and a recombinant inbred line analysis demonstrated that the favorable allele TaPHR3-A1-A associated with higher grain number was positively selected in breeding. A TaPHR3-A1-derived cleaved amplified polymorphic sequence marker effectively identified haplotype TaPHR3-A1-A. Our results suggested that TaPHR3-A1 was a functional regulatory factor for Pi uptake and provided useful information for marker-assisted selection for high yield in wheat.
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Affiliation(s)
- Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Cheng Liu
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Ran Han
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Xiaolu Wang
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Chuan Ge
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Wenyun Zhang
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Shuwei Zhang
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Linyi Qiao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Chenyang Hao
- The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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88
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Gracia-Romero A, Kefauver SC, Vergara-Díaz O, Hamadziripi E, Zaman-Allah MA, Thierfelder C, Prassana BM, Cairns JE, Araus JL. Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe. Sci Rep 2020; 10:16008. [PMID: 32994539 DOI: 10.1038/s41598-020-73110-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 09/10/2020] [Indexed: 11/29/2022] Open
Abstract
Enhancing nitrogen fertilization efficiency for improving yield is a major challenge for smallholder farming systems. Rapid and cost-effective methodologies with the capability to assess the effects of fertilization are required to facilitate smallholder farm management. This study compares maize leaf and canopy-based approaches for assessing N fertilization performance under different tillage, residue coverage and top-dressing conditions in Zimbabwe. Among the measurements made on individual leaves, chlorophyll readings were the best indicators for both N content in leaves (R < 0.700) and grain yield (GY) (R < 0.800). Canopy indices reported even higher correlation coefficients when assessing GY, especially those based on the measurements of the vegetation density as the green area indices (R < 0.850). Canopy measurements from both ground and aerial platforms performed very similar, but indices assessed from the UAV performed best in capturing the most relevant information from the whole plot and correlations with GY and leaf N content were slightly higher. Leaf-based measurements demonstrated utility in monitoring N leaf content, though canopy measurements outperformed the leaf readings in assessing GY parameters, while providing the additional value derived from the affordability and easiness of using a pheno-pole system or the high-throughput capacities of the UAVs.
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89
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Arriagada O, Marcotuli I, Gadaleta A, Schwember AR. Molecular Mapping and Genomics of Grain Yield in Durum Wheat: A Review. Int J Mol Sci 2020; 21:ijms21197021. [PMID: 32987666 PMCID: PMC7582296 DOI: 10.3390/ijms21197021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 09/14/2020] [Accepted: 09/17/2020] [Indexed: 02/07/2023] Open
Abstract
Durum wheat is the most relevant cereal for the whole of Mediterranean agriculture, due to its intrinsic adaptation to dryland and semi-arid environments and to its strong historical cultivation tradition. It is not only relevant for the primary production sector, but also for the food industry chains associated with it. In Mediterranean environments, wheat is mostly grown under rainfed conditions and the crop is frequently exposed to environmental stresses, with high temperatures and water scarcity especially during the grain filling period. For these reasons, and due to recurrent disease epidemics, Mediterranean wheat productivity often remains under potential levels. Many studies, using both linkage analysis (LA) and a genome-wide association study (GWAS), have identified the genomic regions controlling the grain yield and the associated markers that can be used for marker-assisted selection (MAS) programs. Here, we have summarized all the current studies identifying quantitative trait loci (QTLs) and/or candidate genes involved in the main traits linked to grain yield: kernel weight, number of kernels per spike and number of spikes per unit area.
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Affiliation(s)
- Osvin Arriagada
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, 306-22 Santiago, Chile;
| | - Ilaria Marcotuli
- Department of Agricultural and Environmental Science, University of Bari Aldo Moro, 70121 Bari, Italy; (I.M.); (A.G.)
| | - Agata Gadaleta
- Department of Agricultural and Environmental Science, University of Bari Aldo Moro, 70121 Bari, Italy; (I.M.); (A.G.)
| | - Andrés R. Schwember
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, 306-22 Santiago, Chile;
- Correspondence: ; Tel.: +56-223544123
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90
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Lv J, Lu X, Ti X, Liu P, Li J, Li J. QTL mapping and marker identification for sex determination in the ridgetail white prawn, Exopalaemon carinicauda. Genomics 2020; 112:5240-5247. [PMID: 32956845 DOI: 10.1016/j.ygeno.2020.09.037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/15/2020] [Accepted: 09/16/2020] [Indexed: 11/25/2022]
Abstract
Sex determination is an important and intriguing research topic in the field of evolutionary and developmental biology. Quantitative trait locus (QTL) mapping for sex is helpful in clarifying the sex determination system of species. In this study, a second high-resolution genetic linkage map was constructed for the ridgetail white prawn, Exopalaemon carinicauda, which included 9280 markers, covering 99.98% of the complete genome. Based on the linkage map, a highly significant sex-related QTL was first mapped to a single linkage group (LG3, LOD > 55.6). Fifty-two markers in the QTL region were significantly associated with sex (p ≤ 10-40), of which heterogametic genotypes in females supported the ZW sex determination mechanism. Six markers were verified to be significantly associated with sex in the wild population. Some sex-related genes were identified, including phospholipase D, protein kinase shaggy, and longitudinals lacking protein. These results inform our understanding of the mechanisms of sex determination in E. carinicauda.
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Affiliation(s)
- Jianjian Lv
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
| | - Xuan Lu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
| | - Xingbin Ti
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
| | - Ping Liu
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
| | - Jitao Li
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
| | - Jian Li
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, P.R. China, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
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91
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Hadia EH, Slama A, Romdhane L, M’hamed HC, Abodoma AH, Fahej MAS, Radhouane L. Morpho-physiological and molecular responses of two Libyan bread wheat cultivars to plant growth regulators under salt stress. Ital J Agronomy 2020. [DOI: 10.4081/ija.2020.1633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
To study the effects of salt stress and plant growth regulators (kinetin, gibberellic acid, potassium) on growth, yield, glycine betaine content, phosphoenolpyruvate carboxylase (PEPC) and ribulose biphosphate carboxylase (RBC) gene expression of two Libyan bread wheat varieties, a factorial design of greenhouse experiment with three replications was conducted. Results revealed that salt stress significantly reduced plant growth and productivity of both varieties. Moreover, the addition of kinetin + potassium and gibberellic acid + potassium had improved the performance of the morpho-metric parameters of both genotypes under salt stress; but the performance was more effective for kinetin treatment than for gibberellic acid. At the biochemical level, the results showed that salt stress increased glycine betaine contents in both varieties with different proportions. This increase is more elevated in the presence of kinetin + potassium than the treatment with gibberellic acid+ potassium, which showed an almost similar result as in only salt stress. At the molecular level, the effects of salt stress and plant growth regulators on the PEPC and RBC gene expression showed that the increase was significantly higher for kinetin, gibberellic acid, and salt stress when compared to the control.
Highlights - Salt stress reduced plant growth and productivity of bread wheat varieties. - Growth regulator improved the performance of the morphometric parameters. - The performance was more effective for kinetin treatment than for gibberellic acid. - Kinetin improved the glycine betaine gene expression more than gibberellic acid. - Kinetin increased significantly the phosphoenolpyruvate carboxylase and ribulose biphosphate carboxylase gene expression.
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92
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Alahmad S, Kang Y, Dinglasan E, Mazzucotelli E, Voss-Fels KP, Able JA, Christopher J, Bassi FM, Hickey LT. Adaptive Traits to Improve Durum Wheat Yield in Drought and Crown Rot Environments. Int J Mol Sci 2020; 21:ijms21155260. [PMID: 32722187 PMCID: PMC7432628 DOI: 10.3390/ijms21155260] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/22/2020] [Accepted: 07/22/2020] [Indexed: 02/07/2023] Open
Abstract
Durum wheat (Triticum turgidum L. ssp. durum) production can experience significant yield losses due to crown rot (CR) disease. Losses are usually exacerbated when disease infection coincides with terminal drought. Durum wheat is very susceptible to CR, and resistant germplasm is not currently available in elite breeding pools. We hypothesize that deploying physiological traits for drought adaptation, such as optimal root system architecture to reduce water stress, might minimize losses due to CR infection. This study evaluated a subset of lines from a nested association mapping population for stay-green traits, CR incidence and yield in field experiments as well as root traits under controlled conditions. Weekly measurements of normalized difference vegetative index (NDVI) in the field were used to model canopy senescence and to determine stay-green traits for each genotype. Genome-wide association studies using DArTseq molecular markers identified quantitative trait loci (QTLs) on chromosome 6B (qCR-6B) associated with CR tolerance and stay-green. We explored the value of qCR-6B and a major QTL for root angle QTL qSRA-6A using yield datasets from six rainfed environments, including two environments with high CR disease pressure. In the absence of CR, the favorable allele for qSRA-6A provided an average yield advantage of 0.57 t·ha−1, whereas in the presence of CR, the combination of favorable alleles for both qSRA-6A and qCR-6B resulted in a yield advantage of 0.90 t·ha−1. Results of this study highlight the value of combining above- and belowground physiological traits to enhance yield potential. We anticipate that these insights will assist breeders to design improved durum varieties that mitigate production losses due to water deficit and CR.
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Affiliation(s)
- Samir Alahmad
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia; (Y.K.); (E.D.); (K.P.V.-F.)
- Correspondence: (S.A.); (L.T.H.)
| | - Yichen Kang
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia; (Y.K.); (E.D.); (K.P.V.-F.)
| | - Eric Dinglasan
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia; (Y.K.); (E.D.); (K.P.V.-F.)
| | - Elisabetta Mazzucotelli
- Council for Agricultural Research and Economics (CREA)—Research Centre for Genomics and Bioinformatics, 29017 Fiorenzuola d’Arda (PC), Italy;
| | - Kai P. Voss-Fels
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia; (Y.K.); (E.D.); (K.P.V.-F.)
| | - Jason A. Able
- School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide, Urrbrae, SA 5064, Australia;
| | - Jack Christopher
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Leslie Research Facility, Toowoomba, QLD 4350, Australia;
| | - Filippo M. Bassi
- International Center for the Agricultural Research in the Dry Areas, Rabat 10000, Morocco;
| | - Lee T. Hickey
- Centre for Crop Science, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia; (Y.K.); (E.D.); (K.P.V.-F.)
- Correspondence: (S.A.); (L.T.H.)
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93
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Anuarbek S, Abugalieva S, Pecchioni N, Laidò G, Maccaferri M, Tuberosa R, Turuspekov Y. Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments. PLoS One 2020; 15:e0234863. [PMID: 32574201 PMCID: PMC7310741 DOI: 10.1371/journal.pone.0234863] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/03/2020] [Indexed: 12/02/2022] Open
Abstract
Durum wheat (Triticum turgidum L. ssp. durum) is one of the top crops in Kazakhstan, where it is cultivated in different ecological niches, mainly at higher latitudes in the steppe zone of the northern region. Therefore, local breeding programs for durum wheat are primarily focused on selection for high productivity in Northern Kazakhstan based on the introduction of promising foreign germplasm and the adoption of marker-assisted selection. In this study, a world tetraploid wheat collection consisted of 184 primitive and domesticated accessions, which were previously genotyped using 16,425 polymorphic SNP markers, was field-tested in Northern and South-eastern Kazakhstan. The field tests have allowed the identification of 80 durum wheat promising lines in Northern Kazakhstan in comparison with a local standard cultivar. Also, GGE (Genotype and Genotype by Environment) biplot analyses for yield performance revealed that accessions of T. dicoccum, T. carthlicum, and T. turanicum also have potential to improve durum wheat yield in the region. The genome-wide association study (GWAS) has allowed the identification of 83 MTAs (marker-trait associations) for heading date, seed maturation time, plant height, spike length, number of fertile spikes, number of kernels per spike, and thousand kernel weight. The comparison of the 83 identified MTAs with those previously reported in GWAS for durum wheat suggests that 38 MTAs are presumably novel, while the co-localization of a large number of MTAs with those previously published confirms the validity of the results of this study. The MTAs reported herewith will provide the opportunity to implement marker-assisted selection in ongoing durum wheat breeding projects targeting higher productivity in the region.
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Affiliation(s)
- Shynar Anuarbek
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
- al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Saule Abugalieva
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
- Kazakh National Agrarian University, Almaty, Kazakhstan
| | - Nicola Pecchioni
- Research Centre for Cereal and Industrial Crops, CREA, Foggia, Italy
| | - Giovanni Laidò
- Research Centre for Cereal and Industrial Crops, CREA, Foggia, Italy
| | - Marco Maccaferri
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Roberto Tuberosa
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Yerlan Turuspekov
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
- al-Farabi Kazakh National University, Almaty, Kazakhstan
- * E-mail:
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94
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Wendin K, Mustafa A, Ortman T, Gerhardt K. Consumer Awareness, Attitudes and Preferences Towards Heritage Cereals. Foods 2020; 9:foods9060742. [PMID: 32512763 PMCID: PMC7353474 DOI: 10.3390/foods9060742] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 05/29/2020] [Accepted: 06/02/2020] [Indexed: 11/16/2022] Open
Abstract
Interest in heritage cereals is increasing among consumers, bakeries and farmers, and the trends point towards the local production of crops and connect to sustainability. The most known variety is spelt, which has opened up for old landraces such as Oland wheat. Heritage cereals have shown a higher resilience than modern varieties and have the potential to supply the market with alternative products that have an attractive cultural background. Delicious and nutritious products based on heritages cereals have a growing market potential. Consumers’ attitudes and preferences to different products are affected by factors such as age, gender and education. The aim of this study was to investigate and analyse different consumer groups’ awareness, attitudes and preferences toward heritage cereals. The number of respondents who participated in this study and answered the web-based questionnaire was 434. It can be concluded that most consumers are aware of heritage cereals. Geographic background had an influence, while academic background did not. Bread and pasta are the most consumed products and are regarded as the most popular future products to be based on heritage cereals. The most essential factors in bread are taste and flavour, followed by freshness and texture. The origin of the cereal and its health aspects are important; women are more concerned about the origin than men, while older consumers are more concerned about health. Older consumers are also more willing to pay extra for heritage cereal than younger consumers.
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Affiliation(s)
- Karin Wendin
- Department of Food and Meal Science, Kristianstad University, 29188 Kristianstad, Sweden;
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg, Denmark
- Correspondence: ; Tel.: +46-725-860545
| | - Arwa Mustafa
- Department of Food and Meal Science, Kristianstad University, 29188 Kristianstad, Sweden;
| | - Tove Ortman
- Department of Urban and Rural Development, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden; (T.O.); (K.G.)
| | - Karin Gerhardt
- Department of Urban and Rural Development, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden; (T.O.); (K.G.)
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95
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Khadka K, Earl HJ, Raizada MN, Navabi A. A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat. Front Plant Sci 2020; 11:715. [PMID: 32582249 PMCID: PMC7286286 DOI: 10.3389/fpls.2020.00715] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 05/06/2020] [Indexed: 05/18/2023]
Abstract
In the past, there have been drought events in different parts of the world, which have negatively influenced the productivity and production of various crops including wheat (Triticum aestivum L.), one of the world's three important cereal crops. Breeding new high yielding drought-tolerant wheat varieties is a research priority specifically in regions where climate change is predicted to result in more drought conditions. Commonly in breeding for drought tolerance, grain yield is the basis for selection, but it is a complex, late-stage trait, affected by many factors aside from drought. A strategy that evaluates genotypes for physiological responses to drought at earlier growth stages may be more targeted to drought and time efficient. Such an approach may be enabled by recent advances in high-throughput phenotyping platforms (HTPPs). In addition, the success of new genomic and molecular approaches rely on the quality of phenotypic data which is utilized to dissect the genetics of complex traits such as drought tolerance. Therefore, the first objective of this review is to describe the growth-stage based physio-morphological traits that could be targeted by breeders to develop drought-tolerant wheat genotypes. The second objective is to describe recent advances in high throughput phenotyping of drought tolerance related physio-morphological traits primarily under field conditions. We discuss how these strategies can be integrated into a comprehensive breeding program to mitigate the impacts of climate change. The review concludes that there is a need for comprehensive high throughput phenotyping of physio-morphological traits that is growth stage-based to improve the efficiency of breeding drought-tolerant wheat.
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Affiliation(s)
- Kamal Khadka
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
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96
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Chairi F, Sanchez-Bragado R, Serret MD, Aparicio N, Nieto-Taladriz MT, Luis Araus J. Agronomic and physiological traits related to the genetic advance of semi-dwarf durum wheat: The case of Spain. Plant Sci 2020; 295:110210. [PMID: 32534614 DOI: 10.1016/j.plantsci.2019.110210] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/18/2019] [Accepted: 07/31/2019] [Indexed: 05/16/2023]
Abstract
Knowledge of the agronomic and physiological traits associated with genetic gains in yield is essential to improve understanding of yield-limiting factors and to inform future breeding strategies. The aim of this paper is to dissect the agronomic and physiological traits related to genetic gain and to propose an ideotype with high yield that is best adapted to Spanish Mediterranean environments. Six semi-dwarf (i.e. modern) durum wheat genotypes were grown in a wide range of growing conditions in Spain during two successive years. Diverse agronomic, physiological and leaf morphological traits were evaluated. Kernels spike-1 was the yield component most affected by the genetic gain. While no interaction between genotype and growing conditions existed for grain yield, the more productive genotypes were characterized by a plant height of around 85 cm, small erect flag leaves, more open stomata, a better balance between N sources and N sinks and a higher capacity to re-fix CO2 respired by the grain. Moreover, in general the non-laminar parts of the plants play a key role in providing assimilates during grain filling. The high heritability of most of the studied parameters allows their consideration as traits for phenotyping durum wheat better adapted to a wide range of Mediterranean conditions.
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Affiliation(s)
- Fadia Chairi
- Section of Plant Physiology, University of Barcelona, Barcelona, Spain; AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | - Rut Sanchez-Bragado
- AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain; Department of Crop and Forest Sciences, University of Lleida, Lleida, Spain
| | - Maria Dolores Serret
- Section of Plant Physiology, University of Barcelona, Barcelona, Spain; AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | - Nieves Aparicio
- Instituto de Tecnología Agraria de Castilla y León (ITACyL), Valladolid, Spain
| | | | - José Luis Araus
- Section of Plant Physiology, University of Barcelona, Barcelona, Spain; AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain.
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97
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Rezzouk FZ, Gracia-Romero A, Kefauver SC, Gutiérrez NA, Aranjuelo I, Serret MD, Araus JL. Remote sensing techniques and stable isotopes as phenotyping tools to assess wheat yield performance: Effects of growing temperature and vernalization. Plant Sci 2020; 295:110281. [PMID: 32534622 DOI: 10.1016/j.plantsci.2019.110281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 09/16/2019] [Accepted: 09/20/2019] [Indexed: 06/11/2023]
Abstract
This study compares distinct phenotypic approaches to assess wheat performance under different growing temperatures and vernalization needs. A set of 38 (winter and facultative) wheat cultivars were planted in Valladolid (Spain) under irrigation and two contrasting planting dates: normal (late autumn), and late (late winter). The late plating trial exhibited a 1.5 °C increase in average crop temperature. Measurements with different remote sensing techniques were performed at heading and grain filling, as well as carbon isotope composition (δ13C) and nitrogen content analysis. Multispectral and RGB vegetation indices and canopy temperature related better to grain yield (GY) across the whole set of genotypes in the normal compared with the late planting, with indices (such as the RGB indices Hue, a* and the spectral indices NDVI, EVI and CCI) measured at grain filling performing the best. Aerially assessed remote sensing indices only performed better than ground-acquired ones at heading. Nitrogen content and δ13C correlated with GY at both planting dates. Correlations within winter and facultative genotypes were much weaker, particularly in the facultative subset. For both planting dates, the best GY prediction models were achieved when combining remote sensing indices with δ13C and nitrogen of mature grains. Implications for phenotyping in the context of increasing temperatures are further discussed.
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Affiliation(s)
- Fatima Zahra Rezzouk
- Section of Plant Physiology, University of Barcelona, Barcelona and AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | - Adrian Gracia-Romero
- Section of Plant Physiology, University of Barcelona, Barcelona and AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | - Shawn C Kefauver
- Section of Plant Physiology, University of Barcelona, Barcelona and AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | | | - Iker Aranjuelo
- Instituto de Agrobiología (IdAB), Universidad Pública de Navarra-CSIC-, Multiva Baja, Navarra, Spain
| | - Maria Dolors Serret
- Section of Plant Physiology, University of Barcelona, Barcelona and AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain
| | - José Luis Araus
- Section of Plant Physiology, University of Barcelona, Barcelona and AGROTECNIO (Center of Research in Agrotechnology), Lleida, Spain.
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98
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Gupta PK, Balyan HS, Sharma S, Kumar R. Genetics of yield, abiotic stress tolerance and biofortification in wheat (Triticum aestivum L.). Theor Appl Genet 2020; 133:1569-1602. [PMID: 32253477 DOI: 10.1007/s00122-020-03583-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 03/13/2020] [Indexed: 05/18/2023]
Abstract
A review of the available literature on genetics of yield and its component traits, tolerance to abiotic stresses and biofortification should prove useful for future research in wheat in the genomics era. The work reviewed in this article mainly covers the available information on genetics of some important quantitative traits including yield and its components, tolerance to abiotic stresses (heat, drought, salinity and pre-harvest sprouting = PHS) and biofortification (Fe/Zn and phytate contents with HarvestPlus Program) in wheat. Major emphasis is laid on the recent literature on QTL interval mapping and genome-wide association studies, giving lists of known QTL and marker-trait associations. Candidate genes for different traits and the cloned and characterized genes for yield traits along with the molecular mechanism are also described. For each trait, an account of the present status of marker-assisted selection has also been included. The details of available results have largely been presented in the form of tables; some of these tables are included as supplementary files.
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Affiliation(s)
- Pushpendra Kumar Gupta
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India.
| | - Harindra Singh Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
| | - Shailendra Sharma
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
| | - Rahul Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250 004, India
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99
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Rehman Arif MA, Attaria F, Shokat S, Akram S, Waheed MQ, Arif A, Börner A. Mapping of QTLs Associated with Yield and Yield Related Traits in Durum Wheat ( Triticum durum Desf.) Under Irrigated and Drought Conditions. Int J Mol Sci 2020; 21:ijms21072372. [PMID: 32235556 PMCID: PMC7177892 DOI: 10.3390/ijms21072372] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 03/10/2020] [Accepted: 03/11/2020] [Indexed: 11/16/2022] Open
Abstract
Global durum wheat consumption (Triticum durum Desf.) is ahead of its production. One reason for this is abiotic stress, e.g., drought. Breeding for resistance to drought is complicated by the lack of fast, reproducible screening techniques and the inability to routinely create defined and repeatable water stress conditions. Here, we report the first analysis of dissection of yield and yield-related traits in durum wheat in Pakistan, seeking to elucidate the genetic components of yield and agronomic traits. Analysis of several traits revealed a total of 221 (160 with logarithm of odds (LOD) > 2 ≤ 3 and 61 with LOD > 3) quantitative trait loci (QTLs) distributed on all fourteen durum wheat chromosomes, of which 109 (78 with LOD > 2 ≤ 3 and 31 with LOD > 3) were observed in 2016-17 (S1) and 112 (82 with LOD > 2 ≤ 3 and 30 with LOD > 3) were observed in 2017-18 (S2). Allelic profiles of yield QTLs on chromosome 2A and 7B indicate that allele A of Xgwm895 and allele B of Xbarc276 can enhance the Yd up to 6.16% in control and 5.27% under drought. Moreover, if combined, a yield gain of up to 11% would be possible.
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Affiliation(s)
- Mian Abdur Rehman Arif
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
- Correspondence:
| | - Fauzia Attaria
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
| | - Sajid Shokat
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
- Department of Plant and Environmental Sciences, University of Copenhagen, Højbakkegård Allé 13, DK-2630 Taastrup, Denmark
| | - Saba Akram
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
| | - Muhammad Qandeel Waheed
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
| | - Anjuman Arif
- Nuclear Institute for Agriculture and Biology, Jhang Road, Faisalabad, 38000, Pakistan; (F.A.); (S.S.); (S.A.); (M.Q.W.); (A.A.)
| | - Andreas Börner
- Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, Seeland OT, 06466 Gatersleben, Germany;
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100
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Marín J, Yousfi S, Mauri PV, Parra L, Lloret J, Masaguer A. RGB Vegetation Indices, NDVI, and Biomass as Indicators to Evaluate C3 and C4 Turfgrass under Different Water Conditions. Sustainability 2020; 12:2160. [DOI: 10.3390/su12062160] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Grasslands have a natural capacity to decrease air pollution and a positive impact on human life. However, their maintenance requires adequate irrigation, which is difficult to apply in many regions where drought and high temperatures are frequent. Therefore, the selection of grass species more tolerant to a lack of irrigation is a fundamental criterion for green space planification. This study compared responses to deficit irrigation of different turfgrass mixtures: a C4 turfgrass mixture, Cynodon dactylon-Brachypodium distachyon (A), a C4 turfgrass mixture, Buchloe dactyloides-Brachypodium distachyon (B), and a standard C3 mixture formed by Lolium perenne-Festuca arundinacea-Poa pratensis (C). Three different irrigation regimes were assayed, full irrigated to 100% (FI-100), deficit irrigated to 75% (DI-75), and deficit irrigated to 50% (DI-50) of container capacity. Biomass, normalized difference vegetation index (NDVI), green area (GA), and greener area (GGA) vegetation indices were measured. Irrigation significantly affected the NDVI, biomass, GA, and GGA. The most severe condition in terms of decreasing biomass and vegetation indices was DI-50. Both mixtures (A) and (B) exhibited higher biomass, NDVI, GA, and GGA than the standard under deficit irrigation. This study highlights the superiority of (A) mixture under deficit irrigation, which showed similar values of biomass and vegetation indices under full irrigated and deficit irrigated (DI-75) container capacities.
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