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Sallam M, Ghazy A, Al-Doss A, Al-Ashkar I. Combining Genetic and Phenotypic Analyses for Detecting Bread Wheat Genotypes of Drought Tolerance through Multivariate Analysis Techniques. Life (Basel) 2024; 14:183. [PMID: 38398692 PMCID: PMC10890630 DOI: 10.3390/life14020183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/17/2024] [Accepted: 01/21/2024] [Indexed: 02/25/2024] Open
Abstract
Successfully promoting drought tolerance in wheat genotypes will require several procedures, such as field experimentations, measuring relevant traits, using analysis tools of high precision and efficiency, and taking a complementary approach that combines analyses of phenotyping and genotyping at once. The aim of this study is to assess the genetic diversity of 60 genotypes using SSR (simple sequence repeat) markers collected from several regions of the world and select 13 of them as more genetically diverse to be re-evaluated under field conditions to study drought stress by estimating 30 agro-physio-biochemical traits. Genetic parameters and multivariate analysis were used to compare genotype traits and identify which traits are increasingly efficient at detecting wheat genotypes of drought tolerance. Hierarchical cluster (HC) analysis of SSR markers divided the genotypes into five main categories of drought tolerance: four high tolerant (HT), eight tolerant (T), nine moderate tolerant (MT), six sensitive (S), and 33 high sensitive (HS). Six traits exhibit a combination of high heritability (>60%) and genetic gain (>20%). Analyses of principal components and stepwise multiple linear regression together identified nine traits (grain yield, flag leaf area, stomatal conductance, plant height, relative turgidity, glycine betaine, polyphenol oxidase, chlorophyll content, and grain-filling duration) as a screening tool that effectively detects the variation among the 13 genotypes used. HC analysis of the nine traits divided genotypes into three main categories: T, MT, and S, representing three, five, and five genotypes, respectively, and were completely identical in linear discriminant analysis. But in the case of SSR markers, they were classified into three main categories: T, MT, and S, representing five, three, and five genotypes, respectively, which are both significantly correlated as per the Mantel test. The SSR markers were associated with nine traits, which are considered an assistance tool in the selection process for drought tolerance. So, this study is useful and has successfully detected several agro-physio-biochemical traits, associated SSR markers, and some drought-tolerant genotypes, coupled with our knowledge of the phenotypic and genotypic basis of wheat genotypes.
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Affiliation(s)
| | | | | | - Ibrahim Al-Ashkar
- Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (M.S.); (A.G.); (A.A.-D.)
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2
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Ren Y, Sun X, Nie J, Guo P, Wu X, Zhang Y, Gao M, Niaz M, Yang X, Sun C, Zhang N, Chen F. Mapping QTL conferring flag leaf senescence in durum wheat cultivars. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:66. [PMID: 37564974 PMCID: PMC10409934 DOI: 10.1007/s11032-023-01410-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 07/17/2023] [Indexed: 08/12/2023]
Abstract
Flag leaf senescence is a critical factor affecting the yield and quality of wheat. The aim of this study was to identify QTLs associated with flag leaf senescence in an F10 recombinant inbred line population derived from durum wheats UC1113 and Kofa. Bulked segregant analysis using the wheat 660K SNP array identified 3225 SNPs between extreme-phenotype bulks, and the differential SNPs were mainly clustered on chromosomes 1A, 1B, 3B, 5A, 5B, and 7A. BSR-Seq indicated that the significant SNPs were mainly located in two intervals of 354.0-389.0 Mb and 8.0-15.0 Mb on 1B and 3B, respectively. Based on the distribution of significant SNPs on chromosomes 1B and 3B, a total of 109 insertion/deletion (InDel) markers were developed, and 8 of them were finally used to map QTL in UC1113/Kofa population for flag leaf senescence. Inclusive composite interval mapping identified two major QTL in marker intervals Mar2005-Mar2116 and Mar207-Mar289, explaining 14.2-15.4% and 31.4-68.6% of the phenotypic variances across environments, respectively. Using BSR-Seq, gene expression and sequence analysis, the TraesCS1B02G211600 and TraesCS3B02G023000 were identified as candidate senescence-associated genes. This study has potential to be used in cloning key genes for flag leaf senescence and provides available molecular markers for genotyping and marker-assisted selection breeding. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01410-3.
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Affiliation(s)
- Yan Ren
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Xiaonan Sun
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Jingyun Nie
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Peng Guo
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Xiaohui Wu
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Yixiao Zhang
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Mengjuan Gao
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Mohsin Niaz
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Xia Yang
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Congwei Sun
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Ning Zhang
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
| | - Feng Chen
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy College/CIMMYT-China Wheat and Maize Joint Research Center, Henan Agricultural University, Zhengzhou, 450046 China
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3
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Yang B, Chen N, Dang Y, Wang Y, Wen H, Zheng J, Zheng X, Zhao J, Lu J, Qiao L. Identification and validation of quantitative trait loci for chlorophyll content of flag leaf in wheat under different phosphorus treatments. FRONTIERS IN PLANT SCIENCE 2022; 13:1019012. [PMID: 36466250 PMCID: PMC9714299 DOI: 10.3389/fpls.2022.1019012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/14/2022] [Indexed: 06/17/2023]
Abstract
In wheat, the leaf chlorophyll content in flag leaves is closely related to the degree of phosphorus stress. Identifying major genes/loci associated with chlorophyll content in flag leaves under different phosphorus conditions is critical for breeding wheat varieties resistant to low phosphorus (P). Under normal, medium, and low phosphorus conditions, the chlorophyll content of flag leaves was investigated by a double haploid (DH) population derived from a cross between two popular wheat varieties Jinmai 47 and Jinmai 84, at different grain filling stages. Chlorophyll content of the DH population and parents decreased gradually during the S1 to the S3 stages and rapidly at the S4 stage. At the S4 stage, the chlorophyll content of the DH population under low phosphorus conditions was significantly lower than under normal phosphate conditions. Using a wheat 15K single-nucleotide polymorphism (SNP) panel, a total of 157 QTLs were found to be associated with chlorophyll content in flag leaf and were identified under three phosphorus conditions. The phenotypic variation explained (PVE) ranged from 3.07 to 31.66%. Under three different phosphorus conditions, 36, 30, and 48 QTLs for chlorophyll content were identified, respectively. Six major QTLs Qchl.saw-2B.1, Qchl.saw-3B.1, Qchl.saw-4D.1, Qchl.saw-4D.2, Qchl.saw-5A.9 and Qchl.saw-6A.4 could be detected under multiple phosphorus conditions in which Qchl.saw-4D.1, Qchl.saw-4D.2, and Qchl.saw-6A.4 were revealed to be novel major QTLs. Moreover, the closely linked SNP markers of Qchl.saw-4D.1 and Qchl.saw-4D.2 were validated as KASP markers in a DH population sharing the common parent Jinmai 84, showed extreme significance (P <0.01) in more than three environments under different phosphorus conditions, which has the potential to be utilized in molecular marker-assisted breeding for low phosphorus tolerance in wheat.
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Affiliation(s)
- Bin Yang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Nan Chen
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
- College of Agronomy, Shanxi Agricultural University, Taiyuan, China
| | - Yifei Dang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
- College of Agronomy, Shanxi Agricultural University, Taiyuan, China
| | - Yuzhi Wang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Hongwei Wen
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jun Zheng
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Xingwei Zheng
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jiajia Zhao
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jinxiu Lu
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Ling Qiao
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
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Yang B, Wen X, Wen H, Feng Y, Zhao J, Wu B, Zheng X, Yang C, Yang S, Qiao L, Zheng J. Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes. Front Genet 2022; 13:832898. [PMID: 35368684 PMCID: PMC8965356 DOI: 10.3389/fgene.2022.832898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/25/2022] [Indexed: 11/29/2022] Open
Abstract
Chlorophyll content of the flag leaf is an important trait for drought resistance in wheat under drought stress. Understanding the regulatory mechanism of flag leaf chlorophyll content could accelerate breeding for drought resistance. In this study, we constructed a recombinant inbred line (RIL) population from a cross of drought-sensitive variety DH118 and drought-resistant variety Jinmai 919, and analyzed the chlorophyll contents of flag leaves in six experimental locations/years using the Wheat90K single-nucleotide polymorphism array. A total of 29 quantitative trait loci (QTLs) controlling flag leaf chlorophyll were detected with contributions to phenotypic variation ranging from 4.67 to 23.25%. Twelve QTLs were detected under irrigated conditions and 18 were detected under dryland (drought) conditions. Most of the QTLs detected under the different water regimes were different. Four major QTLs (Qchl.saw-3B.2, Qchl.saw-5A.2, Qchl.saw-5A.3, and Qchl.saw-5B.2) were detected in the RIL population. Qchl.saw-3B.2, possibly more suitable for marker-assisted selection of genotypes adapted to irrigated conditions, was validated by a tightly linked kompetitive allele specific PCR (KASP) marker in a doubled haploid population derived from a different cross. Qchl.saw-5A.3, a novel stably expressed QTL, was detected in the dryland environments and explained up to 23.25% of the phenotypic variation, and has potential for marker-assisted breeding of genotypes adapted to dryland conditions. The stable and major QTLs identified here add valuable information for understanding the genetic mechanism underlying chlorophyll content and provide a basis for molecular marker–assisted breeding.
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Affiliation(s)
- Bin Yang
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, China
| | - Xiaojie Wen
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongwei Wen
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Yanru Feng
- Institute of Crop Science and Resource Conservation (INRES), Crop Science, University of Bonn, Bonn, Germany
- Department of Agronomy and Crop Physiology, Institute for Agronomy and Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Bangbang Wu
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Chenkang Yang
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Sanwei Yang
- College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
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Chen J, Cao F, Li H, Shan S, Tao Z, Lei T, Liu Y, Xiao Z, Zou Y, Huang M, Abou-Elwafa SF. Genotypic variation in the grain photosynthetic contribution to grain filling in rice. JOURNAL OF PLANT PHYSIOLOGY 2020; 253:153269. [PMID: 32906075 DOI: 10.1016/j.jplph.2020.153269] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/11/2020] [Accepted: 08/18/2020] [Indexed: 06/11/2023]
Abstract
Grain filling in rice, a staple cereal crop worldwide, is a critical determinant of grain yield and quality. However, there is little available information on the relationship between grain filling and grain photosynthetic capacity in rice. This study evaluated the genetic diversity among six rice cultivars for their grain filling rate (GR0) and the relationships with the grain chlorophyll contents and grain net photosynthetic rate (PN). Significant variations in GR0, PN, and the chlorophyll contents (a, b, and total) in the grains of the cultivars were observed. Approximately 90 % of the variation in GR0 was explained by the grain PN. General linear model regression revealed significant positive correlations between PN/GR0 and the chlorophyll contents (a, b, and total) in the grains. There was also a significant positive correlation between PN and GR0. These positive correlations suggest a direct positive relationship between the grain filling rate and grain chlorophyll contents, which is indicative of the high photosynthetic capacity of the grains during the early grain filling period. These results suggest that the grain chlorophyll contents could be used as a molecular marker in marker-assisted breeding programs for rice cultivars with high grain net photosynthetic capacity during the early period of grain filling to improve grain yield.
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Affiliation(s)
- Jiana Chen
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Fangbo Cao
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Hailin Li
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Shuanglü Shan
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Zui Tao
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Tao Lei
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Yu Liu
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Zhengwu Xiao
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Yingbin Zou
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China
| | - Min Huang
- Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha, China.
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Yan X, Wang S, Yang B, Zhang W, Cao Y, Shi Y, Sun D, Jing R. QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat. PLoS One 2020; 15:e0229912. [PMID: 32191715 PMCID: PMC7082017 DOI: 10.1371/journal.pone.0229912] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 02/17/2020] [Indexed: 11/29/2022] Open
Abstract
The flag leaf is the main organ of photosynthesis during grain-filling period of wheat, and flag leaf-related traits affect plant morphology and yield potential. In this study, two BC3F6 introgression line (IL) populations derived from the common recipient parent Lumai 14 with Jing 411 and Shaanhan 8675, respectively, were used to map quantitative trait loci (QTL) for flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA) and chlorophyll content (CC) at flowering stage and 15 and 20 days after anthesis (DAA) in 2016–2017 (E1) and 2017–2018 (E2) two environments. A total of 14 and 15 QTLs for flag leaf-related traits were detected in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. Among them, Both QFLW-6A and QFLA-6A were detected in Lumai 14 / Jing 411 population under E2 and in Lumai 14 / Shaanhan 8675 population under E1 and E2 environments, respectively. QCCS2-3A from Lumai 14 / Jing 411 population and QCCS3-1A, QFLL-4A and QFLL-6A from Lumai 14 / Shaanhan 8675 population were repeatedly identified under two tested environments. Moreover, eight QTL clusters controlling flag leaf-related traits were identified, which provided a genetic basis for significant correlations in phenotype among these traits. On the other hand, positive alleles of QFLW-6A for FLW detected in two populations were derived from their donors. Eighteen lines and 44 lines carried this QTL were found in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. The means of FLW in these lines were wider than that of the recipient parent, Lumai 14, in two environments, suggesting that QFLW-6A played an important role for increasing FLW. The IL 124 in Lumai 14 / Jing 411 population and the IL 59 and IL 127 in Lumai 14 / Shaanhan 8675 population had five, five and four donor chromosomal segments which carried no other QTL controlling FLW than QFLW-6A, respectively. And the FLWs of these lines were significantly greater than that of Lumai 14 under two environments. So these lines and their donor parent can be regarded as potential near-isogenic lines. Further, a synteny analysis found QFLW-6A was near the 574,283,851–574,283,613 bp fragment on chromosome 6A and 10 genes were in the range of 500 kb upstream and downstream of the fragment. These results provide the basis for identification of candidate gene and map-based cloning and functional verification of the QTL.
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Affiliation(s)
- Xue Yan
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Shuguang Wang
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Bin Yang
- Wheat Research Institute, Shanxi Academy of Agricultural Sciences, Linfen, Shanxi, China
| | - Wenjun Zhang
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Yaping Cao
- Wheat Research Institute, Shanxi Academy of Agricultural Sciences, Linfen, Shanxi, China
| | - Yugang Shi
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Daizhen Sun
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China
- * E-mail: (DS); (RJ)
| | - Ruilian Jing
- Chinese Academy of Agricultural Sciences, Institute of Crop Science, Beijing, China
- * E-mail: (DS); (RJ)
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Zhang Y, Wang Z, Fan Z, Li J, Gao X, Zhang H, Zhao Q, Wang Z, Liu Z. Phenotyping and evaluation of CIMMYT WPHYSGP nursery lines and local wheat varieties under two irrigation regimes. BREEDING SCIENCE 2019; 69:55-67. [PMID: 31086484 PMCID: PMC6507716 DOI: 10.1270/jsbbs.18104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 10/13/2018] [Indexed: 05/05/2023]
Abstract
Accurate evaluation of morphological and physiological traits is critical for selection of wheat (Triticum aestivum L.) cultivars exhibiting high yield, which is stable over different growing conditions. In order to use selection index based on high yield, high grain quality and drought tolerance in wheat, a set of 145 CIMMYT Wheat Physiological Germplasm Screening Nursery lines and seven local spring wheat varieties were phenotyped and evaluated for physiological and yield traits under two irrigation regimes during the 2011 and 2012 growing seasons in Xinjiang, China. The results showed that drought-stress significantly increased canopy temperature but reduced grain yield, grain weight per spike, normalized difference vegetation index at the flowering and grain filling stages, chlorophyll content at the grain filling stage, grain plumpness, grain number per spike, thousand-grain weight, and plant height. Grain weight per spike, plant height and grain plumpness explained 61.8% of the total phenotypic variation in grain yield under no-stress conditions, where they were the three principal factors most closely related to grain yield. Under drought-stress conditions, canopy temperature at the grain filling stage, plant height and grain plumpness were the three principal factors affecting grain yield, and contributed 44.8% of the total phenotypic variation in grain yield. Finally, ten genotypes, including three local varieties, 'Xinchun 11', 'Xinchun 23' and 'Xinchun 29', with appropriate plant height and high and stable yield under both no-stress and drought-stress conditions over the two years of trials, were identified and can be recommended as core parents for spring wheat drought tolerance breeding in Xinjiang, China.
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Affiliation(s)
- Yueqiang Zhang
- College of Agronomy & Biotechnology, China Agricultural University,
Beijing 100193,
China
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Zhong Wang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Zheru Fan
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Jianfeng Li
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Xin Gao
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Hongzhi Zhang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Qi Zhao
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture,
Urumqi, Xinjiang 830091,
China
| | - Zhaoying Wang
- Xinjiang Academy of Agricultural Sciences,
Urumqi, Xinjiang 830091,
China
| | - Zhiyong Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences,
Beijing 100101,
China
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Großkinsky DK, Syaifullah SJ, Roitsch T. Integration of multi-omics techniques and physiological phenotyping within a holistic phenomics approach to study senescence in model and crop plants. JOURNAL OF EXPERIMENTAL BOTANY 2018; 69:825-844. [PMID: 29444308 DOI: 10.1093/jxb/erx333] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
The study of senescence in plants is complicated by diverse levels of temporal and spatial dynamics as well as the impact of external biotic and abiotic factors and crop plant management. Whereas the molecular mechanisms involved in developmentally regulated leaf senescence are very well understood, in particular in the annual model plant species Arabidopsis, senescence of other organs such as the flower, fruit, and root is much less studied as well as senescence in perennials such as trees. This review addresses the need for the integration of multi-omics techniques and physiological phenotyping into holistic phenomics approaches to dissect the complex phenomenon of senescence. That became feasible through major advances in the establishment of various, complementary 'omics' technologies. Such an interdisciplinary approach will also need to consider knowledge from the animal field, in particular in relation to novel regulators such as small, non-coding RNAs, epigenetic control and telomere length. Such a characterization of phenotypes via the acquisition of high-dimensional datasets within a systems biology approach will allow us to systematically characterize the various programmes governing senescence beyond leaf senescence in Arabidopsis and to elucidate the underlying molecular processes. Such a multi-omics approach is expected to also spur the application of results from model plants to agriculture and their verification for sustainable and environmentally friendly improvement of crop plant stress resilience and productivity and contribute to improvements based on postharvest physiology for the food industry and the benefit of its customers.
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Affiliation(s)
- Dominik K Großkinsky
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Højbakkegård Allé, Taastrup, Denmark
| | - Syahnada Jaya Syaifullah
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Højbakkegård Allé, Taastrup, Denmark
| | - Thomas Roitsch
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Højbakkegård Allé, Taastrup, Denmark
- Department of Adaptive Biotechnologies, Global Change Research Institute, CAS, v.v.i., Drásov, Czech Republic
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9
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Jha UC, Jha R, Bohra A, Parida SK, Kole PC, Thakro V, Singh D, Singh NP. Population structure and association analysis of heat stress relevant traits in chickpea ( Cicer arietinum L.). 3 Biotech 2018; 8:43. [PMID: 29354354 PMCID: PMC5750240 DOI: 10.1007/s13205-017-1057-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 12/19/2017] [Indexed: 12/27/2022] Open
Abstract
Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.
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Affiliation(s)
- Uday Chand Jha
- Indian Institute of Pulses Research (IIPR), Kanpur, UP 208 024 India
| | - Rintu Jha
- Indian Institute of Pulses Research (IIPR), Kanpur, UP 208 024 India
| | - Abhishek Bohra
- Indian Institute of Pulses Research (IIPR), Kanpur, UP 208 024 India
| | - Swarup Kumar Parida
- National Institute of Plant Genome Research (NIPGR), New Delhi, 110067 India
| | - Paresh Chandra Kole
- Department of Genetics & Plant Breeding and Crop Physiology, Institute of Agriculture, Visva Bharati University, Sriniketan, Bolpur, West Bengal 731236 India
| | - Virevol Thakro
- National Institute of Plant Genome Research (NIPGR), New Delhi, 110067 India
| | - Deepak Singh
- Indian Agricultural Statistical Research Institute (IASRI), New Delhi, India
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El-Hendawy S, Al-Suhaibani N, Hassan W, Tahir M, Schmidhalter U. Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region. PLoS One 2017; 12:e0183262. [PMID: 28829809 PMCID: PMC5567659 DOI: 10.1371/journal.pone.0183262] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 08/01/2017] [Indexed: 11/18/2022] Open
Abstract
Simultaneous indirect assessment of multiple and diverse plant parameters in an exact and expeditious manner is becoming imperative in irrigated arid regions, with a view toward creating drought-tolerant genotypes or for the management of precision irrigation. This study aimed to evaluate whether spectral reflectance indices (SRIs) in three parts of the electromagnetic spectrum ((visible-infrared (VIS), near-infrared (NIR)), and shortwave-infrared (SWIR)) could be used to track changes in morphophysiological parameters of wheat cultivars exposed to 1.00, 0.75, and 0.50 of the estimated evapotranspiration (ETc). Significant differences were found in the parameters of growth and photosynthetic efficiency, and canopy spectral reflectance among the three cultivars subjected to different irrigation rates. All parameters were highly and significantly correlated with each other particularly under the 0.50 ETc treatment. The VIS/VIS- and NIR/VIS-based indices were sufficient and suitable for assessing the growth and photosynthetic properties of wheat cultivars similar to those indices based on NIR/NIR, SWIR/NIR, or SWIR/SWIR. Almost all tested SRIs proved to assess growth and photosynthetic parameters, including transpiration rate, more efficiently when regressions were analyzed for each water irrigation rate individually. This study, the type of which has rarely been conducted in irrigated arid regions, indicates that spectral reflectance data can be used as a rapid and non-destructive alternative method for assessment of the growth and photosynthetic efficiency of wheat under a range of water irrigation rates.
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Affiliation(s)
- Salah El-Hendawy
- Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
- Department of Agronomy, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt
| | - Nasser Al-Suhaibani
- Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Wael Hassan
- Department of Agricultural Botany, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt
- Department of Biology, Quwayiyah College of Science and Humanities, Shaqra University, Shaqra, Saudi Arabia
| | - Mohammad Tahir
- Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Urs Schmidhalter
- Chair of Plant Nutrition, Department of Plant Sciences, Technical University of Munich, Freising-Weihenstephan, Germany
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