1
|
Bhupenchandra I, Chongtham SK, Gangarani Devi A, Dutta P, Lamalakshmi E, Mohanty S, Choudhary AK, Das A, Sarika K, Kumar S, Yumnam S, Sagolsem D, Rupert Anand Y, Bhutia DD, Victoria M, Vinodh S, Tania C, Dhanachandra Sharma A, Deb L, Sahoo MR, Seth CS, Swapnil P, Meena M. Harnessing weedy rice as functional food and source of novel traits for crop improvement. PLANT, CELL & ENVIRONMENT 2024. [PMID: 38436101 DOI: 10.1111/pce.14868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/12/2024] [Accepted: 02/15/2024] [Indexed: 03/05/2024]
Abstract
A relative of cultivated rice (Oryza sativa L.), weedy or red rice (Oryza spp.) is currently recognized as the dominant weed, leading to a drastic loss of yield of cultivated rice due to its highly competitive abilities like producing more tillers, panicles, and biomass with better nutrient uptake. Due to its high nutritional value, antioxidant properties (anthocyanin and proanthocyanin), and nutrient absorption ability, weedy rice is gaining immense research attentions to understand its genetic constitution to augment future breeding strategies and to develop nutrition-rich functional foods. Consequently, this review focuses on the unique gene source of weedy rice to enhance the cultivated rice for its crucial features like water use efficiency, abiotic and biotic stress tolerance, early flowering, and the red pericarp of the seed. It explores the debating issues on the origin and evolution of weedy rice, including its high diversity, signalling aspects, quantitative trait loci (QTL) mapping under stress conditions, the intricacy of the mechanism in the expression of the gene flow, and ecological challenges of nutrient removal by weedy rice. This review may create a foundation for future researchers to understand the gene flow between cultivated crops and weedy traits and support an improved approach for the applicability of several models in predicting multiomics variables.
Collapse
Affiliation(s)
- Ingudam Bhupenchandra
- ICAR-Farm Science Centre Tamenglong, ICAR Research Complex for NEH Region, Manipur Centre, Imphal, Manipur, India
| | - Sunil Kumar Chongtham
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - Ayam Gangarani Devi
- ICAR Research Complex for North Eastern Hill Region, Tripura Centre Lembucherra, Tripura, India
| | - Pranab Dutta
- School of Crop Protection, College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University (Imphal), Umiam, Meghalaya, India
| | - Elangbam Lamalakshmi
- ICAR Research Complex for North Eastern Hill Region, Sikkim Centre, Tadong, Sikkim, India
| | - Sansuta Mohanty
- Molecular Biology and Biotechnology Department, Faculty of Agricultural Sciences, Siksha O Anusandhan University, Bhubaneswar, Odisha, India
| | - Anil K Choudhary
- Division of Crop Production, ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh, India
| | - Anup Das
- ICAR Research Complex for North Eastern Hill Region, Lembucherra, Tripura, India
| | - Konsam Sarika
- ICAR Research Complex for North Eastern Hill Region, Manipur Centre, Imphal, Manipur, India
| | - Sumit Kumar
- Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
- Department of Plant Pathology, B.M. College of Agriculture, Khandwa, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh, India
| | - Sonika Yumnam
- All India Coordinated Research Project on Chickpea, Central Agricultural University, Imphal, Manipur, India
| | - Diana Sagolsem
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - Y Rupert Anand
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - Dawa Dolma Bhutia
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - M Victoria
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - S Vinodh
- Multi Technology Testing Centre and Vocational Training Centre, College of Horticulture, Central Agricultural University, Bermiok, Sikkim, India
| | - Chongtham Tania
- ICAR Research Complex for North Eastern Hill Region, Manipur Centre, Imphal, Manipur, India
| | | | - Lipa Deb
- School of Crop Protection, College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University (Imphal), Umiam, Meghalaya, India
| | - Manas Ranjan Sahoo
- ICAR Research Complex for North Eastern Hill Region, Manipur Centre, Imphal, Manipur, India
| | | | - Prashant Swapnil
- Department of Botany, School of Basic Science, Central University of Punjab, Bhatinda, Punjab, India
| | - Mukesh Meena
- Laboratory of Phytopathology and Microbial Biotechnology, Department of Botany, Mohanlal Sukhadia University, Udaipur, Rajasthan, India
| |
Collapse
|
2
|
Reavis M, Purcell LC, Pereira A, Naithani K. Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes. FRONTIERS IN PLANT SCIENCE 2023; 14:1106672. [PMID: 37810402 PMCID: PMC10551151 DOI: 10.3389/fpls.2023.1106672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 08/18/2023] [Indexed: 10/10/2023]
Abstract
Introduction Light response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (non-sequential method). Both methods are often conducted in controlled environments to achieve steady-state results, and neither method involves equilibrating the entire plant to the specific light level. Methods Here, we compare sequential and non-sequential methods in controlled (greenhouse), semi-controlled (plant grown in growth chamber and acclimated to field conditions 2-3 days before measurements), and field environments. We selected seven diverse rice genotypes (five genotypes from the USDA rice minicore collection: 310588, 310723, 311644, 311677, 311795; and 2 additional genotypes: Nagina 22 and Zhe 733) to understand (1) the limitations of different methods, and (2) phenotypic plasticity of photosynthesis in rice grown under different environments. Results Our results show that the non-sequential method was time-efficient and captured more variability of field conditions than the sequential method, but the model parameters were generally similar between two methods except the maximum photosynthesis rate (Amax). Amax was significantly lower across all genotypes under greenhouse conditions compared to the growth chamber and field conditions consistent with prior work, but surprisingly the apparent quantum yield (α) and the mitochondrial respiration (Rd) were generally not different among growing environments or measurement methods. Discussion Our results suggest that field conditions are best suited to quantify phenotypic differences across different genotypes and nonsequential method was better at capturing the variability in photosynthesis.
Collapse
Affiliation(s)
- Megan Reavis
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Larry C. Purcell
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Andy Pereira
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States
| | - Kusum Naithani
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, United States
| |
Collapse
|
3
|
Njane SN, Tsuda S, van Marrewijk BM, Polder G, Katayama K, Tsuji H. Effect of varying UAV height on the precise estimation of potato crop growth. FRONTIERS IN PLANT SCIENCE 2023; 14:1233349. [PMID: 37662173 PMCID: PMC10470036 DOI: 10.3389/fpls.2023.1233349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/27/2023] [Indexed: 09/05/2023]
Abstract
A phenotyping pipeline utilising DeepLab was developed for precisely estimating the height, volume, coverage and vegetation indices of European and Japanese varieties. Using this pipeline, the effect of varying UAV height on the precise estimation of potato crop growth properties was evaluated. A UAV fitted with a multispectral camera was flown at a height of 15 m and 30 m in an experimental field where various varieties of potatoes were grown. The properties of plant height, volume and NDVI were evaluated and compared with the manually obtained parameters. Strong linear correlations with R2 of 0.803 and 0.745 were obtained between the UAV obtained plant heights and manually estimated plant height when the UAV was flown at 15 m and 30 m respectively. Furthermore, high linear correlations with an R2 of 0.839 and 0.754 were obtained between the UAV-estimated volume and manually estimated volume when the UAV was flown at 15 m and 30 m respectively. For the vegetation indices, there were no observable differences in the NDVI values obtained from the UAV flown at the two heights. Furthermore, high linear correlations with R2 of 0.930 and 0.931 were obtained between UAV-estimated and manually measured NDVI at 15 m and 30 m respectively. It was found that UAV flown at the lower height had a higher ground sampling distance thus increased resolution leading to more precise estimation of both the height and volume of crops. For vegetation indices, flying the UAV at a higher height had no effect on the precision of NDVI estimates.
Collapse
Affiliation(s)
- Stephen Njehia Njane
- Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Memurocho, Kasaigun, Hokkaido, Japan
| | - Shogo Tsuda
- Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Memurocho, Kasaigun, Hokkaido, Japan
| | - Bart M. van Marrewijk
- Wageningen Greenhouse Horticulture, Wageningen University and Research, Wageningen, Netherlands
| | - Gerrit Polder
- Wageningen Greenhouse Horticulture, Wageningen University and Research, Wageningen, Netherlands
| | - Kenji Katayama
- Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Memurocho, Kasaigun, Hokkaido, Japan
| | - Hiroyuki Tsuji
- Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Memurocho, Kasaigun, Hokkaido, Japan
| |
Collapse
|
4
|
Song Q, Liu F, Bu H, Zhu XG. Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0075. [PMID: 37502446 PMCID: PMC10371248 DOI: 10.34133/plantphenomics.0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 07/01/2023] [Indexed: 07/29/2023]
Abstract
Crop yield potential is intrinsically related to canopy photosynthesis; therefore, improving canopy photosynthetic efficiency is a major focus of current efforts to enhance crop yield. Canopy photosynthesis rate (Ac) is influenced by several factors, including plant architecture, leaf chlorophyll content, and leaf photosynthetic properties, which interact with each other. Identifying factors that restrict canopy photosynthesis and target adjustments to improve canopy photosynthesis in a specific crop cultivar pose an important challenge for the breeding community. To address this challenge, we developed a novel pipeline that utilizes factorial analysis, canopy photosynthesis modeling, and phenomics data collected using a 64-camera multi-view stereo system, enabling the dissection of the contributions of different factors to differences in canopy photosynthesis between maize cultivars. We applied this method to 2 maize varieties, W64A and A619, and found that leaf photosynthetic efficiency is the primary determinant (17.5% to 29.2%) of the difference in Ac between 2 maize varieties at all stages, and plant architecture at early stages also contribute to the difference in Ac (5.3% to 6.7%). Additionally, the contributions of each leaf photosynthetic parameter and plant architectural trait were dissected. We also found that the leaf photosynthetic parameters were linearly correlated with Ac and plant architecture traits were non-linearly related to Ac. This study developed a novel pipeline that provides a method for dissecting the relationship among individual phenotypes controlling the complex trait of canopy photosynthesis.
Collapse
Affiliation(s)
- Qingfeng Song
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| | - Fusang Liu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| | - Hongyi Bu
- Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China
| | - Xin-Guang Zhu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| |
Collapse
|
5
|
Durand M, Robson TM. Fields of a thousand shimmers: canopy architecture determines high-frequency light fluctuations. THE NEW PHYTOLOGIST 2023; 238:2000-2015. [PMID: 36807284 DOI: 10.1111/nph.18822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/15/2023] [Indexed: 05/04/2023]
Abstract
Wind-induced movement in the canopy produces rapid fluctuations in irradiance, called 'windflecks'. They create a dynamic environment for photosynthesis that bears little resemblance to the stable controlled conditions under which plants are typically measured. We recorded time series of irradiance to assess the diversity of windfleck properties (intensity, duration, frequency, clustering, and spectral composition) in canopies of four crops and five tree species. We also measured traits associated with leaf morphology and canopy architecture, which could be associated with canopy-specific differences in windflecks. Distinct features of windfleck properties were identified both between and among crop and tree canopy. Windflecks in crops were generally more intense and longer, and baseline irradiance was much higher than even the peak irradiance during a windfleck in a forest. The change in spectral composition during a windfleck was species-specific. Overall, irradiance fluctuations were less frequent and less intense in tall canopies and with increased depth from the canopy. Our systematic exploration of how canopy structure dictates light dynamics provides new insight into windfleck creation. Coupled with progress in elucidation of the mechanisms of photosynthetic induction, this knowledge should improve our capacity to model canopy ecophysiology and understand light use efficiency in shade.
Collapse
Affiliation(s)
- Maxime Durand
- Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, 00014, Finland
| | - T Matthew Robson
- Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, 00014, Finland
- National Forestry School, University of Cumbria, Ambleside, LA22 9BB, UK
| |
Collapse
|
6
|
Basu U, Parida SK. Restructuring plant types for developing tailor-made crops. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1106-1122. [PMID: 34260135 DOI: 10.1111/pbi.13666] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/08/2021] [Accepted: 07/12/2021] [Indexed: 05/27/2023]
Abstract
Plants have adapted to different environmental niches by fine-tuning the developmental factors working together to regulate traits. Variations in the developmental factors result in a wide range of quantitative variations in these traits that helped plants survive better. The major developmental pathways affecting plant architecture are also under the control of such pathways. Most notable are the CLAVATA-WUSCHEL pathway regulating shoot apical meristem fate, GID1-DELLA module influencing plant height and tillering, LAZY1-TAC1 module controlling branch/tiller angle and the TFL1-FT determining the floral fate in plants. Allelic variants of these key regulators selected during domestication shaped the crops the way we know them today. There is immense yield potential in the 'ideal plant architecture' of a crop. With the available genome-editing techniques, possibilities are not restricted to naturally occurring variations. Using a transient reprogramming system, one can screen the effect of several developmental gene expressions in novel ecosystems to identify the best targets. We can use the plant's fine-tuning mechanism for customizing crops to specific environments. The process of crop domestication can be accelerated with a proper understanding of these developmental pathways. It is time to step forward towards the next-generation molecular breeding for restructuring plant types in crops ensuring yield stability.
Collapse
Affiliation(s)
- Udita Basu
- Genomics-Assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Swarup K Parida
- Genomics-Assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India
| |
Collapse
|
7
|
Yang K, Mo J, Luo S, Peng Y, Fang S, Wu X, Zhu R, Li Y, Yuan N, Zhou C, Gong Y. Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0056. [PMID: 37273463 PMCID: PMC10238111 DOI: 10.34133/plantphenomics.0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 05/10/2023] [Indexed: 06/06/2023]
Abstract
The effective and accurate aboveground biomass (AGB) estimation facilitates evaluating crop growth and site-specific crop management. Considering that rice accumulates AGB mainly through green leaf photosynthesis, we proposed the photosynthetic accumulation model (PAM) and its simplified version and compared them for estimating AGB. These methods estimate the AGB of various rice cultivars throughout the growing season by integrating vegetation index (VI) and canopy height based on images acquired by unmanned aerial vehicles (UAV). The results indicated that the correlation of VI and AGB was weak for the whole growing season of rice and the accuracy of the height model was also limited for the whole growing season. In comparison with the NDVI-based rice AGB estimation model in 2019 data (R2 = 0.03, RMSE = 603.33 g/m2) and canopy height (R2 = 0.79, RMSE = 283.33 g/m2), the PAM calculated by NDVI and canopy height could provide a better estimate of AGB of rice (R2 = 0.95, RMSE = 136.81 g/m2). Then, based on the time-series analysis of the accumulative model, a simplified photosynthetic accumulation model (SPAM) was proposed that only needs limited observations to achieve R2 above 0.8. The PAM and SPAM models built by using 2 years of samples successfully predicted the third year of samples and also demonstrated the robustness and generalization ability of the models. In conclusion, these methods can be easily and efficiently applied to the UAV estimation of rice AGB over the entire growing season, which has great potential to serve for large-scale field management and also for breeding.
Collapse
Affiliation(s)
- Kaili Yang
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Jiacai Mo
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Shanjun Luo
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Yi Peng
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping,
Wuhan University, Wuhan, China
| | - Shenghui Fang
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping,
Wuhan University, Wuhan, China
| | - Xianting Wu
- Lab for Remote Sensing of Crop Phenotyping,
Wuhan University, Wuhan, China
- College of Life Sciences,
Wuhan University, Wuhan, China
| | - Renshan Zhu
- Lab for Remote Sensing of Crop Phenotyping,
Wuhan University, Wuhan, China
- College of Life Sciences,
Wuhan University, Wuhan, China
| | - Yuanjin Li
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Ningge Yuan
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Cong Zhou
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
| | - Yan Gong
- School of Remote Sensing and Information Engineering,
Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping,
Wuhan University, Wuhan, China
| |
Collapse
|
8
|
Young TJ, Jubery TZ, Carley CN, Carroll M, Sarkar S, Singh AK, Singh A, Ganapathysubramanian B. "Canopy fingerprints" for characterizing three-dimensional point cloud data of soybean canopies. FRONTIERS IN PLANT SCIENCE 2023; 14:1141153. [PMID: 37063230 PMCID: PMC10090282 DOI: 10.3389/fpls.2023.1141153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Advances in imaging hardware allow high throughput capture of the detailed three-dimensional (3D) structure of plant canopies. The point cloud data is typically post-processed to extract coarse-scale geometric features (like volume, surface area, height, etc.) for downstream analysis. We extend feature extraction from 3D point cloud data to various additional features, which we denote as 'canopy fingerprints'. This is motivated by the successful application of the fingerprint concept for molecular fingerprints in chemistry applications and acoustic fingerprints in sound engineering applications. We developed an end-to-end pipeline to generate canopy fingerprints of a three-dimensional point cloud of soybean [Glycine max (L.) Merr.] canopies grown in hill plots captured by a terrestrial laser scanner (TLS). The pipeline includes noise removal, registration, and plot extraction, followed by the canopy fingerprint generation. The canopy fingerprints are generated by splitting the data into multiple sub-canopy scale components and extracting sub-canopy scale geometric features. The generated canopy fingerprints are interpretable and can assist in identifying patterns in a database of canopies, querying similar canopies, or identifying canopies with a certain shape. The framework can be extended to other modalities (for instance, hyperspectral point clouds) and tuned to find the most informative fingerprint representation for downstream tasks. These canopy fingerprints can aid in the utilization of canopy traits at previously unutilized scales, and therefore have applications in plant breeding and resilient crop production.
Collapse
Affiliation(s)
- Therin J. Young
- Department of Mechanical Engineering, Iowa State University, Ames, IA, United States
| | | | - Clayton N. Carley
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Matthew Carroll
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Soumik Sarkar
- Department of Mechanical Engineering, Iowa State University, Ames, IA, United States
- Translational AI Center, Iowa State University, Ames, IA, United States
| | - Asheesh K. Singh
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Arti Singh
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Baskar Ganapathysubramanian
- Department of Mechanical Engineering, Iowa State University, Ames, IA, United States
- Translational AI Center, Iowa State University, Ames, IA, United States
| |
Collapse
|
9
|
Liu X, Gu S, Wen W, Lu X, Jin Y, Zhang Y, Guo X. Disentangling the Heterosis in Biomass Production and Radiation Use Efficiency in Maize: A Phytomer-Based 3D Modelling Approach. PLANTS (BASEL, SWITZERLAND) 2023; 12:1229. [PMID: 36986918 PMCID: PMC10052571 DOI: 10.3390/plants12061229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/02/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
Maize (Zea mays L.) benefits from heterosis in-yield formation and photosynthetic efficiency through optimizing canopy structure and improving leaf photosynthesis. However, the role of canopy structure and photosynthetic capacity in determining heterosis in biomass production and radiation use efficiency has not been separately clarified. We developed a quantitative framework based on a phytomer-based three-dimensional canopy photosynthesis model and simulated light capture and canopy photosynthetic production in scenarios with and without heterosis in either canopy structure or leaf photosynthetic capacity. The accumulated above-ground biomass of Jingnongke728 was 39% and 31% higher than its male parent, Jing2416, and female parent, JingMC01, while accumulated photosynthetically active radiation was 23% and 14% higher, correspondingly, leading to an increase of 13% and 17% in radiation use efficiency. The increasing post-silking radiation use efficiency was mainly attributed to leaf photosynthetic improvement, while the dominant contributing factor differs for male and female parents for heterosis in post-silking yield formation. This quantitative framework illustrates the potential to identify the key traits related to yield and radiation use efficiency and helps breeders to make selections for higher yield and photosynthetic efficiency.
Collapse
Affiliation(s)
- Xiang Liu
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Crop Growth Regulation of Hebei Province, College of Agronomy, Hebei Agricultural University, Baoding 071000, China
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Shenghao Gu
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Weiliang Wen
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Xianju Lu
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yu Jin
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Yongjiang Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Crop Growth Regulation of Hebei Province, College of Agronomy, Hebei Agricultural University, Baoding 071000, China
| | - Xinyu Guo
- Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| |
Collapse
|
10
|
Mubarak A, Burgess A, Pyke K, Quick W, Murchie E. Mass screening of rice mutant populations at low CO 2 for identification of lowered photorespiration and respiration rates. FRONTIERS IN PLANT SCIENCE 2023; 14:1125770. [PMID: 36938057 PMCID: PMC10020370 DOI: 10.3389/fpls.2023.1125770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Identifying rice (Oryza sativa) germplasm with improved efficiency of primary metabolism is of utmost importance in order to increase yields. One such approach can be attained through screening genetically diverse populations under altered environmental conditions. Growth or treatment under low carbon dioxide (CO2) concentrations can be used as a means of revealing altered leaf photorespiration, respiration and other metabolic variants. METHODS We developed a pipeline for very high throughput treatment of gamma- and ethyl methanesulfonate- (EMS) induced mutant populations of IR64 rice seedlings at very low CO2 for 7 days. 1050 seedlings per batch at 5th leaf stage were exposed to 60 ppm CO2 for the first day and 30 ppm for the remaining three days. Following this, putative candidates were identified by measuring chlorophyll depletion using SPAD. Screening results showed a distinct difference between the mutants and the WTs. RESULTS AND DISCUSSION The mean chlorophyll loss in WTs ranged from 65% to 11% respectively, whereas in the mutant lines chlorophyll loss ranged from 0 to 100%, suggesting considerable phenotypic variation. Rice mutants with a reduced chlorophyll reduction (<10%) were identified as 'Chlorophyll retention mutants' (CRMs) under low CO2 stress. In total, 1909 mutant lines (14,000 seedlings) were screened for chlorophyll content under 30 ppm CO2, with 26 lines selected for detailed screening. These 26 putative candidates were self-seeded to produce an M5 generation, used to determine the genetic control of the altered response to low CO2. Gas exchange of light and CO2 response revealed that there were significant variations among photosynthetic properties in two selected rice mutants. The CO2 compensation points in the absence of photorespiration and leaf respiration rates were lower than the WTs and anatomical analyses showed that CRM 29 had improved mesophyll cell area. We propose that this approach is useful for generating new material for breeding rice with improved primary metabolism.
Collapse
Affiliation(s)
- A.N.M. Mubarak
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom
- Department of Biosystems Technology, Faculty of Technology, South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka
- International Rice Research Institute, Los Baños, Laguna, Philippines
| | - A.J. Burgess
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom
| | - K. Pyke
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom
| | - W.P. Quick
- International Rice Research Institute, Los Baños, Laguna, Philippines
| | - E.H. Murchie
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, United Kingdom
| |
Collapse
|
11
|
Virdi KS, Sreekanta S, Dobbels A, Haaning A, Jarquin D, Stupar RM, Lorenz AJ, Muehlbauer GJ. Branch angle and leaflet shape are associated with canopy coverage in soybean. THE PLANT GENOME 2023:e20304. [PMID: 36792954 DOI: 10.1002/tpg2.20304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/20/2022] [Indexed: 06/18/2023]
Abstract
Early canopy coverage is a desirable trait that is a major determinant of yield in soybean (Glycine max). Variation in traits comprising shoot architecture can influence canopy coverage, canopy light interception, canopy-level photosynthesis, and source-sink partitioning efficiency. However, little is known about the extent of phenotypic diversity of shoot architecture traits and their genetic control in soybean. Thus, we sought to understand the contribution of shoot architecture traits to canopy coverage and to determine the genetic control of these traits. We examined the natural variation for shoot architecture traits in a set of 399 diverse maturity group I soybean (SoyMGI) accessions to identify relationships between traits, and to identify loci that are associated with canopy coverage and shoot architecture traits. Canopy coverage was correlated with branch angle, number of branches, plant height, and leaf shape. Using previously collected 50K single nucleotide polymorphism data, we identified quantitative trait locus (QTL) associated with branch angle, number of branches, branch density, leaflet shape, days to flowering, maturity, plant height, number of nodes, and stem termination. In many cases, QTL intervals overlapped with previously described genes or QTL. We also found QTL associated with branch angle and leaflet shape located on chromosomes 19 and 4, respectively, and these QTL overlapped with QTL associated with canopy coverage, suggesting the importance of branch angle and leaflet shape in determining canopy coverage. Our results highlight the role individual architecture traits play in canopy coverage and contribute information on their genetic control that could help facilitate future efforts in their genetic manipulation.
Collapse
Affiliation(s)
- Kamaldeep S Virdi
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Suma Sreekanta
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Austin Dobbels
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Allison Haaning
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Diego Jarquin
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Aaron J Lorenz
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, USA
| |
Collapse
|
12
|
Zhang X, Yang W, Tahir MM, Chen X, Saudreau M, Zhang D, Costes E. Contributions of leaf distribution and leaf functions to photosynthesis and water-use efficiency from leaf to canopy in apple: A comparison of interstocks and cultivars. FRONTIERS IN PLANT SCIENCE 2023; 14:1117051. [PMID: 37123856 PMCID: PMC10146243 DOI: 10.3389/fpls.2023.1117051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/20/2023] [Indexed: 05/03/2023]
Abstract
Grafting has been widely used in horticulture to induce dwarfing and avoid stress-derived limitations on plant growth and yield by affecting plant architecture and leaf functions. However, the respective effects on plant photosynthesis and water use efficiency (WUE) of leaf distribution and functions that depend on both rootstock and scion have not been fully elucidated. This study aimed to (i) clarify the scion × interstock impacts on the variability of leaf photosynthetic traits and WUE, and (ii) decipher the respective effects of leaf distribution and functions on canopy photosynthesis and WUE (WUEc). Leaf gas exchange over light gradients and responses to light, CO2, temperature, and vapor pressure deficit were measured in two apple cultivars, 'Liquan Fuji' ('Fuji') and 'Regal Gala' ('Gala'), grafted onto rootstocks combined with interstocks: a vigorous (VV, 'Qinguan'), or a dwarf one (VD, M26). The 3D architecture-based RATP model was parameterized to estimate the canopy photosynthesis rate (Ac ), transpiration rate (E c), and WUEc. Then, virtual scenarios were used to compare the relative contributions of cultivar and interstock to canopy A c, E c, and WUE c. These scenarios changed the leaf distribution and functions of either cultivar or interstock. At the leaf scale, VD trees had significantly higher leaf nitrogen per area but a lower maximum carboxylation rate and dark respiration in both cultivars. In parallel with higher leaf stomatal conductance (gs ) and transpiration in VD 'Fuji' and similar gs in VD 'Gala', VD trees showed significantly lower leaf photosynthesis rate and WUE than VV trees. However, lower leaf photosynthetic capacities in VD trees were compensated at the canopy scale, with A c and WUE c for 'Fuji' significantly improved in VD trees under both sunny and cloudy conditions, and for 'Gala' significantly improved in VD trees under cloudy conditions compared with VV trees. Switching scenarios highlighted that 'Gala' leaf functions and distribution and VD leaf distributions enhanced A c and WUE c simultaneously, irrespective of weather conditions. Up-scaling leaf gas exchange to the canopy scale by utilizing 3D architecture-based modeling and reliable measurements of tree architecture and leaf functional traits provides insights to explore the influence of genetic materials and tree management practices.
Collapse
Affiliation(s)
- Xiaoyun Zhang
- College of Agriculture, The Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization in Xinjiang Production and Construction Group, Shihezi University, Shihezi, Xinjiang, China
| | - Weiwei Yang
- College of Agriculture, The Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization in Xinjiang Production and Construction Group, Shihezi University, Shihezi, Xinjiang, China
- *Correspondence: Weiwei Yang,
| | | | - Xilong Chen
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China
| | - Marc Saudreau
- Université Clermont Auvergne, INRAE, PIAF, Clermont-Ferrand, France
| | - Dong Zhang
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China
| | - Evelyne Costes
- UMR AGAP Institute, University of Montpellier, INRAE, Institut Agro, CIRAD, Equipe ‘Architecture et Floraison des Especes Fruiteres’, Montpellier, France
| |
Collapse
|
13
|
Burgess AJ, Masclaux‐Daubresse C, Strittmatter G, Weber APM, Taylor SH, Harbinson J, Yin X, Long S, Paul MJ, Westhoff P, Loreto F, Ceriotti A, Saltenis VLR, Pribil M, Nacry P, Scharff LB, Jensen PE, Muller B, Cohan J, Foulkes J, Rogowsky P, Debaeke P, Meyer C, Nelissen H, Inzé D, Klein Lankhorst R, Parry MAJ, Murchie EH, Baekelandt A. Improving crop yield potential: Underlying biological processes and future prospects. Food Energy Secur 2022; 12:e435. [PMID: 37035025 PMCID: PMC10078444 DOI: 10.1002/fes3.435] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 10/07/2022] [Accepted: 11/10/2022] [Indexed: 12/05/2022] Open
Abstract
The growing world population and global increases in the standard of living both result in an increasing demand for food, feed and other plant-derived products. In the coming years, plant-based research will be among the major drivers ensuring food security and the expansion of the bio-based economy. Crop productivity is determined by several factors, including the available physical and agricultural resources, crop management, and the resource use efficiency, quality and intrinsic yield potential of the chosen crop. This review focuses on intrinsic yield potential, since understanding its determinants and their biological basis will allow to maximize the plant's potential in food and energy production. Yield potential is determined by a variety of complex traits that integrate strictly regulated processes and their underlying gene regulatory networks. Due to this inherent complexity, numerous potential targets have been identified that could be exploited to increase crop yield. These encompass diverse metabolic and physical processes at the cellular, organ and canopy level. We present an overview of some of the distinct biological processes considered to be crucial for yield determination that could further be exploited to improve future crop productivity.
Collapse
Affiliation(s)
- Alexandra J. Burgess
- School of Biosciences University of Nottingham, Sutton Bonington campus Loughborough UK
| | | | - Günter Strittmatter
- Institute of Plant Biochemistry, Cluster of Excellence on Plant Sciences (CEPLAS) Heinrich‐Heine‐Universität Düsseldorf Düsseldorf Germany
| | - Andreas P. M. Weber
- Institute of Plant Biochemistry, Cluster of Excellence on Plant Sciences (CEPLAS) Heinrich‐Heine‐Universität Düsseldorf Düsseldorf Germany
| | | | - Jeremy Harbinson
- Laboratory for Biophysics Wageningen University and Research Wageningen The Netherlands
| | - Xinyou Yin
- Centre for Crop Systems Analysis, Department of Plant Sciences Wageningen University & Research Wageningen The Netherlands
| | - Stephen Long
- Lancaster Environment Centre Lancaster University Lancaster UK
- Plant Biology and Crop Sciences University of Illinois at Urbana‐Champaign Urbana Illinois USA
| | | | - Peter Westhoff
- Institute of Plant Biochemistry, Cluster of Excellence on Plant Sciences (CEPLAS) Heinrich‐Heine‐Universität Düsseldorf Düsseldorf Germany
| | - Francesco Loreto
- Department of Biology, Agriculture and Food Sciences, National Research Council of Italy (CNR), Rome, Italy and University of Naples Federico II Napoli Italy
| | - Aldo Ceriotti
- Institute of Agricultural Biology and Biotechnology National Research Council (CNR) Milan Italy
| | - Vandasue L. R. Saltenis
- Copenhagen Plant Science Centre, Department of Plant and Environmental Sciences University of Copenhagen Copenhagen Denmark
| | - Mathias Pribil
- Copenhagen Plant Science Centre, Department of Plant and Environmental Sciences University of Copenhagen Copenhagen Denmark
| | - Philippe Nacry
- BPMP, Univ Montpellier, INRAE, CNRS Institut Agro Montpellier France
| | - Lars B. Scharff
- Copenhagen Plant Science Centre, Department of Plant and Environmental Sciences University of Copenhagen Copenhagen Denmark
| | - Poul Erik Jensen
- Department of Food Science University of Copenhagen Copenhagen Denmark
| | - Bertrand Muller
- Université de Montpellier ‐ LEPSE – INRAE Institut Agro Montpellier France
| | | | - John Foulkes
- School of Biosciences University of Nottingham, Sutton Bonington campus Loughborough UK
| | - Peter Rogowsky
- INRAE UMR Plant Reproduction and Development Lyon France
| | | | - Christian Meyer
- IJPB UMR1318 INRAE‐AgroParisTech‐Université Paris Saclay Versailles France
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium
- VIB Center for Plant Systems Biology Ghent Belgium
| | - Dirk Inzé
- Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium
- VIB Center for Plant Systems Biology Ghent Belgium
| | - René Klein Lankhorst
- Wageningen Plant Research Wageningen University & Research Wageningen The Netherlands
| | | | - Erik H. Murchie
- School of Biosciences University of Nottingham, Sutton Bonington campus Loughborough UK
| | - Alexandra Baekelandt
- Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium
- VIB Center for Plant Systems Biology Ghent Belgium
| |
Collapse
|
14
|
Singh J, Garai S, Das S, Thakur JK, Tripathy BC. Role of C4 photosynthetic enzyme isoforms in C3 plants and their potential applications in improving agronomic traits in crops. PHOTOSYNTHESIS RESEARCH 2022; 154:233-258. [PMID: 36309625 DOI: 10.1007/s11120-022-00978-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
As compared to C3, C4 plants have higher photosynthetic rates and better tolerance to high temperature and drought. These traits are highly beneficial in the current scenario of global warming. Interestingly, all the genes of the C4 photosynthetic pathway are present in C3 plants, although they are involved in diverse non-photosynthetic functions. Non-photosynthetic isoforms of carbonic anhydrase (CA), phosphoenolpyruvate carboxylase (PEPC), malate dehydrogenase (MDH), the decarboxylating enzymes NAD/NADP-malic enzyme (NAD/NADP-ME), and phosphoenolpyruvate carboxykinase (PEPCK), and finally pyruvate orthophosphate dikinase (PPDK) catalyze reactions that are essential for major plant metabolism pathways, such as the tricarboxylic acid (TCA) cycle, maintenance of cellular pH, uptake of nutrients and their assimilation. Consistent with this view differential expression pattern of these non-photosynthetic C3 isoforms has been observed in different tissues across the plant developmental stages, such as germination, grain filling, and leaf senescence. Also abundance of these C3 isoforms is increased considerably in response to environmental fluctuations particularly during abiotic stress. Here we review the vital roles played by C3 isoforms of C4 enzymes and the probable mechanisms by which they help plants in acclimation to adverse growth conditions. Further, their potential applications to increase the agronomic trait value of C3 crops is discussed.
Collapse
Affiliation(s)
- Jitender Singh
- National Institute of Plant Genome Research, New Delhi, 110067, India.
| | - Sampurna Garai
- International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India
| | - Shubhashis Das
- National Institute of Plant Genome Research, New Delhi, 110067, India
| | - Jitendra Kumar Thakur
- National Institute of Plant Genome Research, New Delhi, 110067, India.
- International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India.
| | | |
Collapse
|
15
|
Burgess AJ, Majda M. A future in 3D: Analyzing morphology in all dimensions. PLANT PHYSIOLOGY 2022; 189:1175-1176. [PMID: 35478044 PMCID: PMC9237670 DOI: 10.1093/plphys/kiac190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
|
16
|
Hernández-Prieto MA, Hiller R, Chen M. Chlorophyll f can replace chlorophyll a in the soluble antenna of dinoflagellates. PHOTOSYNTHESIS RESEARCH 2022; 152:13-22. [PMID: 34988868 DOI: 10.1007/s11120-021-00890-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/29/2021] [Indexed: 06/14/2023]
Abstract
Chlorophyll f is a new type of chlorophyll isolated from cyanobacteria. The absorption and fluorescence characteristics of chlorophyll f permit these oxygenic-photosynthetic organisms to thrive in environments where white light is scarce but far-red light is abundant. To explore the ligand properties of chlorophyll f and its energy transfer profiles we established two different in vitro reconstitution systems. The reconstituted peridinin-chlorophyll f protein complex (chlorophyll f-PCP) showed a stoichiometry ratio of 4:1 between peridinin and chlorophyll f, consistent with the peridinin:chlorophyll a ratio from native PCP complexes. Using emission wavelength at 712 nm, the excitation fluorescence featured a broad peak at 453 nm and a shoulder at 511 nm confirming energy transfer from peridinin to chlorophyll f. In addition, by using a synthetic peptide mimicking the first transmembrane helix of light-harvesting chlorophyll proteins of plants, we report that chlorophyll f, similarly to chlorophyll b, did not interact with the peptide contrarily to chlorophyll a, confirming the accessory role of chlorophyll f in photosystems. The binding of chlorophyll f, even in the presence of chlorophylls a and b, by PCP complexes shows the flexibility of chlorophyll-protein complexes and provides an opportunity for the introduction of new chlorophyll species to extend the photosynthetic spectral range.
Collapse
Affiliation(s)
| | - Roger Hiller
- Faculty of Science and Engineering, Macquarie University, Sydney, NSW, 2109, Australia
| | - Min Chen
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
| |
Collapse
|
17
|
Zhang Y, Henke M, Li Y, Xu D, Liu A, Liu X, Li T. Analyzing the Impact of Greenhouse Planting Strategy and Plant Architecture on Tomato Plant Physiology and Estimated Dry Matter. FRONTIERS IN PLANT SCIENCE 2022; 13:828252. [PMID: 35242156 PMCID: PMC8885523 DOI: 10.3389/fpls.2022.828252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/13/2022] [Indexed: 05/17/2023]
Abstract
Determine the level of significance of planting strategy and plant architecture and how they affect plant physiology and dry matter accumulation within greenhouses is essential to actual greenhouse plant management and breeding. We thus analyzed four planting strategies (plant spacing, furrow distance, row orientation, planting pattern) and eight different plant architectural traits (internode length, leaf azimuth angle, leaf elevation angle, leaf length, leaflet curve, leaflet elevation, leaflet number/area ratio, leaflet length/width ratio) with the same plant leaf area using a formerly developed functional-structural model for a Chinese Liaoshen-solar greenhouse and tomato plant, which used to simulate the plant physiology of light interception, temperature, stomatal conductance, photosynthesis, and dry matter. Our study led to the conclusion that the planting strategies have a more significant impact overall on plant radiation, temperature, photosynthesis, and dry matter compared to plant architecture changes. According to our findings, increasing the plant spacing will have the most significant impact to increase light interception. E-W orientation has better total light interception but yet weaker light uniformity. Changes in planting patterns have limited influence on the overall canopy physiology. Increasing the plant leaflet area by leaflet N/A ratio from what we could observe for a rose the total dry matter by 6.6%, which is significantly better than all the other plant architecture traits. An ideal tomato plant architecture which combined all the above optimal architectural traits was also designed to provide guidance on phenotypic traits selection of breeding process. The combined analysis approach described herein established the causal relationship between investigated traits, which could directly apply to provide management and breeding insights on other plant species with different solar greenhouse structures.
Collapse
Affiliation(s)
- Yue Zhang
- College of Horticulture, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
| | - Michael Henke
- Plant Sciences Core Facility, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czechia
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
| | - Yiming Li
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
- College of Engineering, Shenyang Agricultural University, Shenyang, China
| | - Demin Xu
- College of Horticulture, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
| | - Anhua Liu
- College of Horticulture, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
| | - Xingan Liu
- College of Horticulture, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
| | - Tianlai Li
- College of Horticulture, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang, China
- National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenyang, China
| |
Collapse
|
18
|
Song Q, Van Rie J, Den Boer B, Galle A, Zhao H, Chang T, He Z, Zhu XG. Diurnal and Seasonal Variations of Photosynthetic Energy Conversion Efficiency of Field Grown Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:817654. [PMID: 35283909 PMCID: PMC8914475 DOI: 10.3389/fpls.2022.817654] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/17/2022] [Indexed: 05/22/2023]
Abstract
Improving canopy photosynthetic light use efficiency and energy conversion efficiency (ε c ) is a major option to increase crop yield potential. However, so far, the diurnal and seasonal variations of canopy light use efficiency (LUE) and ε c are largely unknown due to the lack of an efficient method to estimate ε c in a high temporal resolution. Here we quantified the dynamic changes of crop canopy LUE and ε c during a day and a growing season with the canopy gas exchange method. A response curve of whole-plant carbon dioxide (CO2) flux to incident photosynthetically active radiation (PAR) was further used to calculate ε c and LUE at a high temporal resolution. Results show that the LUE of two wheat cultivars with different canopy architectures at five stages varies between 0.01 to about 0.05 mol CO2 mol-1 photon, with the LUE being higher under medium PAR. Throughout the growing season, the ε c varies from 0.5 to 3.7% (11-80% of the maximal ε c for C3 plants) with incident PAR identified as a major factor controlling variation of ε c . The estimated average ε c from tillering to grain filling stages was about 2.17%, i.e., 47.2% of the theoretical maximal. The estimated season-averaged radiation use efficiency (RUE) was 1.5-1.7 g MJ-1, which was similar to the estimated RUE based on biomass harvesting. The large variations of LUE and ε c imply a great opportunity to improve canopy photosynthesis for greater wheat biomass and yield potential.
Collapse
Affiliation(s)
- Qingfeng Song
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Jeroen Van Rie
- BASF Belgium Coordination Center – Innovation Center Gent, Ghent, Belgium
| | - Bart Den Boer
- BASF Belgium Coordination Center – Innovation Center Gent, Ghent, Belgium
| | - Alexander Galle
- BASF Belgium Coordination Center – Innovation Center Gent, Ghent, Belgium
| | - Honglong Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Tiangen Chang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xin-Guang Zhu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Xin-Guang Zhu,
| |
Collapse
|
19
|
Targeted CRISPR/Cas9-Based Knock-Out of the Rice Orthologs TILLER ANGLE CONTROL 1 (TAC1) in Poplar Induces Erect Leaf Habit and Shoot Growth. FORESTS 2021. [DOI: 10.3390/f12121615] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Pyramidal-, erect- or upright-growing plant forms are characterized by narrow branch angles of shoots and leaves. The putative advantage of upright-leaf and shoot habit could be a more efficient penetration of light into lower canopy layers. Pyramidal genotypes have already been reported for various tree genotypes including peach. The paralogous rice ortholog TILLER ANGLE CONTROL 1 (TAC1) has been proposed to be the responsible gene for upright growth. However, it has not really been demonstrated for any of the pyramidal tree genotypes that a knock-out mutation of the TAC1 gene is causing pyramidal plant growth. By in silico analyses, we have identified a putative rice TAC1 ortholog (Potri.014G102600, “TAC-14”) and its paralog (Potri.002G175300, “TAC-2”) in the genome of P. trichocarpa. Two putative PcTAC1 orthologs in the P. × canescens clone INRA 717-1B4 were successfully knocked-out by applying a transgenic CRISPR/Cas9-approach. The mutants were molecularly analyzed and phenotyped over a period of three years in a glasshouse. Our results indicate that the homozygous knock-out of “TAC-14” is sufficient to induce pyramidal plant growth in P. × canescens. If up to twice as many pyramidal individuals were planted on short rotation coppices (SRCs), this could lead to higher wood yield, without any breeding, simply by increasing the number of trees on a default field size.
Collapse
|
20
|
Burgess AJ, Durand M, Gibbs JA, Retkute R, Robson TM, Murchie EH. The effect of canopy architecture on the patterning of "windflecks" within a wheat canopy. PLANT, CELL & ENVIRONMENT 2021; 44:3524-3537. [PMID: 34418115 DOI: 10.1111/pce.14168] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/14/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
Under field conditions, plants are subject to wind-induced movement which creates fluctuations of light intensity and spectral quality reaching the leaves, defined here as windflecks. Within this study, irradiance within two contrasting wheat (Triticum aestivum) canopies during full sun conditions was measured using a spectroradiometer to determine the frequency, duration and magnitude of low- to high-light events plus the spectral composition during wind-induced movement. Similarly, a static canopy was modelled using three-dimensional reconstruction and ray tracing to determine fleck characteristics without the presence of wind. Corresponding architectural traits were measured manually and in silico including plant height, leaf area and angle plus biomechanical properties. Light intensity can differ up to 40% during a windfleck, with changes occurring on a sub-second scale compared to ~5 min in canopies not subject to wind. Features such as a shorter height, more erect leaf stature and having an open structure led to an increased frequency and reduced time interval of light flecks in the CMH79A canopy compared to Paragon. This finding illustrates the potential for architectural traits to be selected to improve the canopy light environment and provides the foundation to further explore the links between plant form and function in crop canopies.
Collapse
Affiliation(s)
- Alexandra J Burgess
- Division of Agriculture and Environmental Sciences, School of Biosciences, University of Nottingham Sutton Bonington Campus, Leicestershire, UK
| | - Maxime Durand
- Organismal and Evolutionary Biology (OEB), Faculty of Biological and Environmental Sciences, Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - Jonathon A Gibbs
- Computer Vision Lab, School of Computer Science, University of Nottingham Jubilee Campus, Nottingham, UK
| | - Renata Retkute
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - T Matthew Robson
- Organismal and Evolutionary Biology (OEB), Faculty of Biological and Environmental Sciences, Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - Erik H Murchie
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham Sutton Bonington Campus, Leicestershire, UK
| |
Collapse
|
21
|
Salter WT, Shrestha A, Barbour MM. Open source 3D phenotyping of chickpea plant architecture across plant development. PLANT METHODS 2021; 17:95. [PMID: 34530876 PMCID: PMC8444385 DOI: 10.1186/s13007-021-00795-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 08/30/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Being able to accurately assess the 3D architecture of plant canopies can allow us to better estimate plant productivity and improve our understanding of underlying plant processes. This is especially true if we can monitor these traits across plant development. Photogrammetry techniques, such as structure from motion, have been shown to provide accurate 3D reconstructions of monocot crop species such as wheat and rice, yet there has been little success reconstructing crop species with smaller leaves and more complex branching architectures, such as chickpea. RESULTS In this work, we developed a low-cost 3D scanner and used an open-source data processing pipeline to assess the 3D structure of individual chickpea plants. The imaging system we developed consists of a user programmable turntable and three cameras that automatically captures 120 images of each plant and offloads these to a computer for processing. The capture process takes 5-10 min for each plant and the majority of the reconstruction process on a Windows PC is automated. Plant height and total plant surface area were validated against "ground truth" measurements, producing R2 > 0.99 and a mean absolute percentage error < 10%. We demonstrate the ability to assess several important architectural traits, including canopy volume and projected area, and estimate relative growth rate in commercial chickpea cultivars and lines from local and international breeding collections. Detailed analysis of individual reconstructions also allowed us to investigate partitioning of plant surface area, and by proxy plant biomass. CONCLUSIONS Our results show that it is possible to use low-cost photogrammetry techniques to accurately reconstruct individual chickpea plants, a crop with a complex architecture consisting of many small leaves and a highly branching structure. We hope that our use of open-source software and low-cost hardware will encourage others to use this promising technique for more architecturally complex species.
Collapse
Affiliation(s)
- William T. Salter
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
| | - Arjina Shrestha
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
| | - Margaret M. Barbour
- School of Life and Environmental Sciences, Sydney Institute of Agriculture, The University of Sydney, NSW 2570 Brownlow Hill, Australia
- School of Science, University of Waikato, Hillcrest, Hamilton, 3216 New Zealand
| |
Collapse
|
22
|
Acevedo‐Siaca LG, Dionora J, Laza R, Paul Quick W, Long SP. Dynamics of photosynthetic induction and relaxation within the canopy of rice and two wild relatives. Food Energy Secur 2021; 10:e286. [PMID: 34594547 PMCID: PMC8459282 DOI: 10.1002/fes3.286] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 03/16/2021] [Accepted: 03/29/2021] [Indexed: 02/05/2023] Open
Abstract
Wild rice species are a source of genetic material for improving cultivated rice (Oryza sativa) and a means to understand its evolutionary history. Renewed interest in non-steady-state photosynthesis in crops has taken place due its potential in improving sustainable productivity. Variation was characterized for photosynthetic induction and relaxation at two leaf canopy levels in three rice species. The wild rice accessions had 16%-40% higher rates of leaf CO2 uptake (A) during photosynthetic induction relative to the O. sativa accession. However, O. sativa had an overall higher photosynthetic capacity when compared to accessions of its wild progenitors. Additionally, O. sativa had a faster stomatal closing response, resulting in higher intrinsic water-use efficiency during high-to-low light transitions. Leaf position in the canopy had a significant effect on non-steady-state photosynthesis, but not steady-state photosynthesis. The results show potential to utilize wild material to refine plant models and improve non-steady-state photosynthesis in cultivated rice for increased productivity.
Collapse
Affiliation(s)
- Liana G. Acevedo‐Siaca
- Department of Crop SciencesUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT)Mexico DFMexico
| | | | - Rebecca Laza
- C4 Rice CenterInternational Rice Research InstituteLos BañosPhilippines
| | - William Paul Quick
- C4 Rice CenterInternational Rice Research InstituteLos BañosPhilippines
- Department of Animal and Plant SciencesUniversity of SheffieldSheffieldUK
| | - Stephen P. Long
- Department of Crop SciencesUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Lancaster Environment CentreLancaster UniversityLancasterUK
| |
Collapse
|
23
|
Lacasa J, Hefley TJ, Otegui ME, Ciampitti IA. A practical guide to estimating the light extinction coefficient with nonlinear models-a case study on maize. PLANT METHODS 2021; 17:60. [PMID: 34118957 PMCID: PMC8196512 DOI: 10.1186/s13007-021-00753-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/10/2021] [Indexed: 05/20/2023]
Abstract
BACKGROUND The fraction of intercepted photosynthetically active radiation (fPARi) is typically described with a non-linear function of leaf area index (LAI) and k, the light extinction coefficient. The parameter k is used to make statistical inference, as an input into crop models, and for phenotyping. It may be estimated using a variety of statistical techniques that differ in assumptions, which ultimately influences the numerical value k and associated uncertainty estimates. A systematic search of peer-reviewed publications for maize (Zea Mays L.) revealed: (i) incompleteness in reported estimation techniques; and (ii) that most studies relied on dated techniques with unrealistic assumptions, such as log-transformed linear models (LogTLM) or normally distributed data. These findings suggest that knowledge of the variety and trade-offs among statistical estimation techniques is lacking, which hinders the use of modern approaches such as Bayesian estimation (BE) and techniques with appropriate assumptions, e.g. assuming beta-distributed data. RESULTS The parameter k was estimated for seven maize genotypes with five different methods: least squares estimation (LSE), LogTLM, maximum likelihood estimation (MLE) assuming normal distribution, MLE assuming beta distribution, and BE assuming beta distribution. Methods were compared according to the appropriateness for statistical inference, point estimates' properties, and predictive performance. LogTLM produced the worst predictions for fPARi, whereas both LSE and MLE with normal distribution yielded unrealistic predictions (i.e. fPARi < 0 or > 1) and the greatest coefficients for k. Models with beta-distributed fPARi (either MLE or Bayesian) were recommended to obtain point estimates. CONCLUSION Each estimation technique has underlying assumptions which may yield different estimates of k and change inference, like the magnitude and rankings among genotypes. Thus, for reproducibility, researchers must fully report the statistical model, assumptions, and estimation technique. LogTLMs are most frequently implemented, but should be avoided to estimate k. Modeling fPARi with a beta distribution was an absent practice in the literature but is recommended, applying either MLE or BE. This workflow and technique comparison can be applied to other plant canopy models, such as the vertical distribution of nitrogen, carbohydrates, photosynthesis, etc. Users should select the method balancing benefits and tradeoffs matching the purpose of the study.
Collapse
Affiliation(s)
- Josefina Lacasa
- Department of Agronomy, Kansas State University, 1712 Claflin Rd, Manhattan, KS, 66506, USA.
- Dpto. de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453 (C1417DSE), Ciudad de Buenos Aires, Argentina.
| | - Trevor J Hefley
- Department of Statistics, Kansas State University, 205 Dickens Hall, 1116 Mid-Campus Drive North, Manhattan, KS, 66506, USA
| | - María E Otegui
- Dpto. de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453 (C1417DSE), Ciudad de Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Centro Regional Buenos Aires Norte, Estación Experimental Agropecuaria Pergamino INTA, Ruta 32 km 4.5, Pergamino (C2700), Buenos Aires, Argentina
| | - Ignacio A Ciampitti
- Department of Agronomy, Kansas State University, 1712 Claflin Rd, Manhattan, KS, 66506, USA.
| |
Collapse
|
24
|
Slattery RA, Ort DR. Perspectives on improving light distribution and light use efficiency in crop canopies. PLANT PHYSIOLOGY 2021; 185:34-48. [PMID: 33631812 PMCID: PMC8133579 DOI: 10.1093/plphys/kiaa006] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/03/2020] [Indexed: 05/22/2023]
Abstract
Plant stands in nature differ markedly from most seen in modern agriculture. In a dense mixed stand, plants must vie for resources, including light, for greater survival and fitness. Competitive advantages over surrounding plants improve fitness of the individual, thus maintaining the competitive traits in the gene pool. In contrast, monoculture crop production strives to increase output at the stand level and thus benefits from cooperation to increase yield of the community. In choosing plants with higher yields to propagate and grow for food, humans may have inadvertently selected the best competitors rather than the best cooperators. Here, we discuss how this selection for competitiveness has led to overinvestment in characteristics that increase light interception and, consequently, sub-optimal light use efficiency in crop fields that constrains yield improvement. Decades of crop canopy modeling research have provided potential strategies for improving light distribution in crop canopies, and we review the current progress of these strategies, including balancing light distribution through reducing pigment concentration. Based on recent research revealing red-shifted photosynthetic pigments in algae and photosynthetic bacteria, we also discuss potential strategies for optimizing light interception and use through introducing alternative pigment types in crops. These strategies for improving light distribution and expanding the wavelengths of light beyond those traditionally defined for photosynthesis in plant canopies may have large implications for improving crop yield and closing the yield gap.
Collapse
Affiliation(s)
- Rebecca A Slattery
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Donald R Ort
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Departments of Plant Biology & Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Author for communication:
| |
Collapse
|
25
|
de Jesus Colwell F, Souter J, Bryan GJ, Compton LJ, Boonham N, Prashar A. Development and Validation of Methodology for Estimating Potato Canopy Structure for Field Crop Phenotyping and Improved Breeding. FRONTIERS IN PLANT SCIENCE 2021; 12:612843. [PMID: 33643346 PMCID: PMC7902928 DOI: 10.3389/fpls.2021.612843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 01/19/2021] [Indexed: 05/30/2023]
Abstract
Traditional phenotyping techniques have long been a bottleneck in breeding programs and genotype- phenotype association studies in potato, as these methods are labor-intensive and time consuming. In addition, depending on the trait measured and metric adopted, they suffer from varying degrees of user bias and inaccuracy, and hence these challenges have effectively prevented the execution of large-scale population-based field studies. This is true not only for commercial traits (e.g., yield, tuber size, and shape), but also for traits strongly associated with plant performance (e.g., canopy development, canopy architecture, and growth rates). This study demonstrates how the use of point cloud data obtained from low-cost UAV imaging can be used to create 3D surface models of the plant canopy, from which detailed and accurate data on plant height and its distribution, canopy ground cover and canopy volume can be obtained over the growing season. Comparison of the canopy datasets at different temporal points enabled the identification of distinct patterns of canopy development, including different patterns of growth, plant lodging, maturity and senescence. Three varieties are presented as exemplars. Variety Nadine presented the growth pattern of an early maturing variety, showing rapid initial growth followed by rapid onset of senescence and plant death. Varieties Bonnie and Bounty presented the pattern of intermediate to late maturing varieties, with Bonnie also showing early canopy lodging. The methodological approach used in this study may alleviate one of the current bottlenecks in the study of plant development, paving the way for an expansion in the scale of future genotype-phenotype association studies.
Collapse
Affiliation(s)
- Filipe de Jesus Colwell
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jock Souter
- Survey Solutions Scotland, Edinburgh, United Kingdom
| | | | - Lindsey J. Compton
- School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Neil Boonham
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Ankush Prashar
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| |
Collapse
|
26
|
He L, Sun W, Chen X, Han L, Li J, Ma Y, Song Y. Modeling Maize Canopy Morphology in Response to Increased Plant Density. FRONTIERS IN PLANT SCIENCE 2021; 11:533514. [PMID: 33519830 PMCID: PMC7843585 DOI: 10.3389/fpls.2020.533514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 11/26/2020] [Indexed: 05/31/2023]
Abstract
Increased plant density markedly affects canopy morphophysiological activities and crop productivity. This study aims to model maize canopy final morphology under increased interplant competition by revising a functional-structural plant model, i.e., ADEL-Maize. A 2-year field experiment was conducted at Mengcheng, Anhui Province, China, in 2016 and 2018. A randomized complete block design of five plant densities (PDs), i.e., 4.5, 6, 7.5, 9, and 15 plants m-2, with three replications was applied using a hybrid, i.e., Zhengdan 958. Canopy morphology at different PDs was measured with destructive samplings when maize canopy was fully expanded. The relationship of changes of organ morphology in relation to increased plant density was analyzed based on 2016 data. The ADEL-Maize was first calibrated for the hybrid at 4.5 plants m-2 and then revised by introducing relationships identified from 2016 data, followed by independent validation with 2018 field data. A heatmap visualization was shown to clearly illustrate the effects of increased plant density on final morphology of laminae, sheaths, and internodes. The logarithmic + linear equations were found to fit changes for the organ size versus increased plant density for phytomers excluding ear position or linear equations for the phytomer at ear position based on 2016 field data. The revision was then further tested independently by having achieved satisfactory agreements between the simulations and observations in canopy size under different PDs with 2018 field data. In conclusion, this study has characterized the relationship between canopy morphology and increased interplant competition for use in the ADEL-Maize and realized the simulations of final size of laminae, sheaths, and internodes, as affected by increased plant density, laying a foundation to test an ideotype for maize withstanding high interplant competition.
Collapse
Affiliation(s)
- Liang He
- School of Agronomy, Anhui Agricultural University, Hefei, China
| | - Weiwei Sun
- School of Agronomy, Anhui Agricultural University, Hefei, China
| | - Xiang Chen
- School of Agronomy, Anhui Agricultural University, Hefei, China
| | - Liqi Han
- The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Jincai Li
- School of Agronomy, Anhui Agricultural University, Hefei, China
| | - Yuanshan Ma
- School of Agronomy, Anhui Agricultural University, Hefei, China
| | - Youhong Song
- School of Agronomy, Anhui Agricultural University, Hefei, China
- The Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| |
Collapse
|
27
|
Foo CC, Burgess AJ, Retkute R, Tree-Intong P, Ruban AV, Murchie EH. Photoprotective energy dissipation is greater in the lower, not the upper, regions of a rice canopy: a 3D analysis. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:7382-7392. [PMID: 32905587 PMCID: PMC7906788 DOI: 10.1093/jxb/eraa411] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 09/07/2020] [Indexed: 05/22/2023]
Abstract
High light intensities raise photosynthetic and plant growth rates but can cause damage to the photosynthetic machinery. The likelihood and severity of deleterious effects are minimised by a set of photoprotective mechanisms, one key process being the controlled dissipation of energy from chlorophyll within PSII known as non-photochemical quenching (NPQ). Although ubiquitous, the role of NPQ in plant productivity is important because it momentarily reduces the quantum efficiency of photosynthesis. Rice plants overexpressing and deficient in the gene encoding a central regulator of NPQ, the protein PsbS, were used to assess the effect of protective effectiveness of NPQ (pNPQ) at the canopy scale. Using a combination of three-dimensional reconstruction, modelling, chlorophyll fluorescence, and gas exchange, the influence of altered NPQ capacity on the distribution of pNPQ was explored. A higher phototolerance in the lower layers of a canopy was found, regardless of genotype, suggesting a mechanism for increased protection for leaves that experience relatively low light intensities interspersed with brief periods of high light. Relative to wild-type plants, psbS overexpressors have a reduced risk of photoinactivation and early growth advantage, demonstrating that manipulating photoprotective mechanisms can impact both subcellular mechanisms and whole-canopy function.
Collapse
Affiliation(s)
- Chuan Ching Foo
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington, UK
| | - Alexandra J Burgess
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington, UK
| | - Renata Retkute
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Pracha Tree-Intong
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington, UK
| | - Alexander V Ruban
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Erik H Murchie
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington, UK
- Correspondence:
| |
Collapse
|
28
|
Digrado A, Mitchell NG, Montes CM, Dirvanskyte P, Ainsworth EA. Assessing diversity in canopy architecture, photosynthesis, and water-use efficiency in a cowpea magic population. Food Energy Secur 2020; 9:e236. [PMID: 33381299 PMCID: PMC7757253 DOI: 10.1002/fes3.236] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 07/01/2020] [Accepted: 07/03/2020] [Indexed: 02/02/2023] Open
Abstract
Optimizing crops to improve light absorption and CO2 assimilation throughout the canopy is a proposed strategy to increase yield and meet the needs of a growing population by 2050. Globally, the greatest population increase is expected to occur in Sub-Saharan Africa where large yield gaps currently persist; therefore, it is crucial to develop high-yielding crops adapted to this region. In this study, we screened 50 cowpea (Vigna unguiculata (L.) Walp) genotypes from the multi-parent advanced generation inter-cross (MAGIC) population for canopy architectural traits, canopy photosynthesis, and water-use efficiency using a canopy gas exchange chamber in order to improve our understanding of the relationships among those traits. Canopy architecture contributed to 38.6% of the variance observed in canopy photosynthesis. The results suggest that the light environment within the canopy was a limiting factor for canopy CO2 assimilation. Traits favoring greater exposure of leaf area to light such as the width of the canopy relative to the total leaf area were associated with greater canopy photosynthesis, especially in canopies with high biomass. Canopy water-use efficiency was highly determined by canopy photosynthetic activity and therefore canopy architecture, which indicates that optimizing the canopy will also contribute to improving canopy water-use efficiency. We discuss different breeding strategies for future programs aimed at the improvement of cowpea yield for the Sub-Saharan African region. We show that breeding for high biomass will not optimize canopy CO2 assimilation and suggest that selection should include multiple canopy traits to improve light penetration.
Collapse
Affiliation(s)
- Anthony Digrado
- Global Change and Photosynthesis Research UnitUSDA ARSUrbanaILUSA
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Noah G. Mitchell
- Global Change and Photosynthesis Research UnitUSDA ARSUrbanaILUSA
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Christopher M. Montes
- Global Change and Photosynthesis Research UnitUSDA ARSUrbanaILUSA
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | | | - Elizabeth A. Ainsworth
- Global Change and Photosynthesis Research UnitUSDA ARSUrbanaILUSA
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Institute for Genomic BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| |
Collapse
|
29
|
Gibbs JA, Pound MP, French AP, Wells DM, Murchie EH, Pridmore TP. Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020; 17:1907-1917. [PMID: 31027044 DOI: 10.1109/tcbb.2019.2896908] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Plant phenotyping is the quantitative description of a plant's physiological, biochemical, and anatomical status which can be used in trait selection and helps to provide mechanisms to link underlying genetics with yield. Here, an active vision- based pipeline is presented which aims to contribute to reducing the bottleneck associated with phenotyping of architectural traits. The pipeline provides a fully automated response to photometric data acquisition and the recovery of three-dimensional (3D) models of plants without the dependency of botanical expertise, whilst ensuring a non-intrusive and non-destructive approach. Access to complete and accurate 3D models of plants supports computation of a wide variety of structural measurements. An Active Vision Cell (AVC) consisting of a camera-mounted robot arm plus combined software interface and a novel surface reconstruction algorithm is proposed. This pipeline provides a robust, flexible, and accurate method for automating the 3D reconstruction of plants. The reconstruction algorithm can reduce noise and provides a promising and extendable framework for high throughput phenotyping, improving current state-of-the-art methods. Furthermore, the pipeline can be applied to any plant species or form due to the application of an active vision framework combined with the automatic selection of key parameters for surface reconstruction.
Collapse
|
30
|
Interpretation and Evaluation of Electrical Lighting in Plant Factories with Ray-Tracing Simulation and 3D Plant Modeling. AGRONOMY-BASEL 2020. [DOI: 10.3390/agronomy10101545] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In plant factories, light is fully controllable for crop production but involves a cost. For efficient lighting, light use efficiency (LUE) should be considered as part of light environment design. The objectives of this study were to evaluate and interpret the light interception, photosynthetic rate, and LUE of lettuces under electrical lights using ray-tracing simulation. The crop architecture model was constructed by 3D scanning, and ray-tracing simulation was used to interpret light interception and photosynthesis. For evaluation of simulation reliability, measured light intensities and photosynthetic rates in a growth chamber were compared with those obtained by simulation at different planting densities. Under several scenarios modeling various factors affecting light environments, changes in light interception and LUE were interpreted. The light intensities and photosynthetic rates obtained by simulation showed good agreement with the measured values, with R2 > 0.86. With decreasing planting density, the light interception of the central plant increased by approximately 18.7%, but that of neighboring plants decreased by approximately 5.5%. Under the various scenarios, shorter lighting distances induced more heterogenetic light distribution on plants and caused lower light interception. Under a homogenous light distribution, the light intensity was optimal at approximately 360 μmol m−2 s−1 with an LUE of 6.5 g MJ−1. The results of this study can provide conceptual insights into the design of light environments in plant factories.
Collapse
|
31
|
Reddy SH, Singhal RK, DaCosta MVJ, Kambalimath SK, Rajanna MP, Muthurajan R, Sevanthi AM, Mohapatra T, Sarla N, Chinnusamy V, S GK, Singh AK, Singh NK, Sharma RP, Pathappa N, Sheshshayee SM. Leaf mass area determines water use efficiency through its influence on carbon gain in rice mutants. PHYSIOLOGIA PLANTARUM 2020; 169:194-213. [PMID: 31912892 DOI: 10.1111/ppl.13062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 12/12/2019] [Indexed: 06/10/2023]
Abstract
Saving water and enhancing rice productivity are consensually the most important research goals globally. While increasing canopy cover would enhance growth rates by higher photosynthetic carbon gain, an accompanied increase in transpiration would have a negative impact on saving water as well as for sustainability under water-limited conditions. Increased water use efficiency (WUE) by virtue of higher carbon assimilatory capacity can significantly circumvent this trade-off. Here, we report leaf mass area (LMA) has an important canopy architecture trait which when combined with superior carboxylation efficiency (CE) would achieve higher water productivity in rice. A set of 130 ethyl methanesulfonate induced mutants of an upland cultivar Nagina-22 (N22), was screened for leaf morphological traits leading to the identification of mutants differing in LMA. The wild-type, N22, along with a selected low-LMA (380-4-3) and two high-LMA mutants (392-9-1 and 457-1-3), all with comparable total leaf area, were raised under well-watered (100% Field Capacity (FC)) and water-limited (60% FC) conditions. Low Δ13 C and a higher RuBisCO content in high-LMA mutants indicated higher carboxylation efficiency, leading to increased carbon gain. Single parent backcross populations developed by crossing high and the low-LMA mutants with N22, separately, were screened for LMA, Δ13 C and growth traits. Comparison of dry matter accumulation per unit leaf area among the progenies differing in LMA and Δ13 C reiterated the association of LMA with CE. Results illustrated that high-LMA when combined with higher CE (low Δ13 C) lead to increased WUE and growth rates.
Collapse
Affiliation(s)
| | - Rajesh Kumar Singhal
- Department of Crop Physiology, University of Agricultural Sciences, Bengaluru, India
| | | | | | | | - Raveendran Muthurajan
- Center for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore, India
| | | | | | | | - Viswanathan Chinnusamy
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Gopala Krishnan S
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Ashok Kumar Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | | | | | - Sreeman M Sheshshayee
- Department of Crop Physiology, University of Agricultural Sciences, Bengaluru, India
| |
Collapse
|
32
|
Bauerle WL, McCullough C, Iversen M, Hazlett M. Leaf Age and Position Effects on Quantum Yield and Photosynthetic Capacity in Hemp Crowns. PLANTS (BASEL, SWITZERLAND) 2020; 9:E271. [PMID: 32092905 PMCID: PMC7076434 DOI: 10.3390/plants9020271] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 02/12/2020] [Accepted: 02/17/2020] [Indexed: 05/15/2023]
Abstract
We examined the aging of leaves prior to abscission and the consequences for estimating whole-crown primary production in Cannabis sativa L. (hemp). Leaves at three vertical positions in hemp crowns were examined from initial full leaf expansion until 42 days later. Photosynthetic capacity decreased as leaves aged regardless of crown position, light intensity, or photoperiod. Although leaves remained green, the photosynthetic capacity declined logarithmically to values of 50% and 25% of the maximum 9 and 25 days later, respectively. Plants grown under +450 μmol m-2 s-1 supplemental photosynthetically active radiation or enriched diffuse light responded similarly; there was no evidence that photoperiod or enriched diffuse light modified the gas exchange pattern. At approximately 14 days after full leaf expansion, leaf light levels >500 μmol m-2 s-1 decreased photosynthesis, which resulted in ≥10% lower maximum electron transport rate at ≥ 20 days of growth period. Furthermore, leaves were saturated at lower light levels as leaf age progressed (≤500 μmol m-2 s-1). Incorporating leaf age corrections of photosynthetic physiology is needed when estimating hemp primary production.
Collapse
Affiliation(s)
- William L. Bauerle
- Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO 80523, USA; (C.M.); (M.I.); (M.H.)
| | | | | | | |
Collapse
|
33
|
Peake AS, Bell KL, Fischer R, Gardner M, Das BT, Poole N, Mumford M. Cultivar × Management Interaction to Reduce Lodging and Improve Grain Yield of Irrigated Spring Wheat: Optimising Plant Growth Regulator Use, N Application Timing, Row Spacing and Sowing Date. FRONTIERS IN PLANT SCIENCE 2020; 11:401. [PMID: 32411154 PMCID: PMC7198859 DOI: 10.3389/fpls.2020.00401] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 03/20/2020] [Indexed: 05/21/2023]
Abstract
Severe lodging of irrigated spring-wheat in sub-tropical Australia has previously caused yield loss of between 1.7 and 4.6 t ha-1 (20-60% of potential yield). In response, agronomic management options were assessed for their ability to reduce lodging and increase grain yield, namely plant growth regulators (PGRs), timing of nitrogen (N) application, row spacing and sowing date, in combination with long and short duration cultivars across 15 irrigated environments from 2012 to 2016. Our study identified significant interaction between genotype, environment and agronomic management (G × E × M) for grain yield and lodging, although some combinations of agronomic techniques were broadly applicable across cultivars. PGR application improved grain yield of most cultivars in well-irrigated fields that had more than 120 kg ha-1 N (mineral N + fertiliser N) at sowing, with yield gains of up to 0.5 t ha-1 observed in both lodged and non-lodged fields. However, PGRs had little effect on grain yield when soil + fertiliser N at sowing was less than 80 kg ha-1 N. In-crop N application (compared to sowing N application) often improved grain yield of short duration, lodging resistant cultivars, but reduced the yield of long-duration, lodging susceptible cultivars in some environments. Narrow row spacing of 19 cm had the highest grain yield across cultivars in low lodging environments. At a severely lodged environment, narrow rows were the highest yielding for five out of six cultivars when PGRs were used, but was the highest yielding for only half of the tested cultivars when PGRs were not used. Cultivar × sowing date interaction for grain yield was also associated with the occurrence of lodging. Neither early nor late sowing had a consistent yield benefit across a range of cultivars, as lodging severity varied between sowing date depending on the timing of storm-induced lodging events. Lodging resistant long-duration cultivars had more stable grain yield across environments and increased grain yield in response to early sowing. Further research is needed to determine the optimum management strategy for new cultivars, because farmers do not always choose the most lodging resistant cultivars for reasons of cultivar disease resistance, grain quality and seed availability.
Collapse
Affiliation(s)
- Allan S. Peake
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Toowoomba, QLD, Australia
- *Correspondence: Allan S. Peake,
| | - Kerry L. Bell
- Queensland Department of Agriculture and Forestry, Toowoomba, QLD, Australia
| | - R.A. Fischer
- CSIRO Agriculture and Food, Canberra, ACT, Australia
| | - Matt Gardner
- Agricultural Marketing and Production Systems, Tamworth, NSW, Australia
| | - Bianca T. Das
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Toowoomba, QLD, Australia
- The School of Agriculture and Food Sciences, The University of Queensland, St. Lucia, QLD, Australia
| | - Nick Poole
- Foundation for Arable Research, Inverleigh, VIC, Australia
| | - Michael Mumford
- Queensland Department of Agriculture and Forestry, Toowoomba, QLD, Australia
| |
Collapse
|
34
|
Bellasio C, Farquhar GD. A leaf-level biochemical model simulating the introduction of C 2 and C 4 photosynthesis in C 3 rice: gains, losses and metabolite fluxes. THE NEW PHYTOLOGIST 2019; 223:150-166. [PMID: 30859576 DOI: 10.1111/nph.15787] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 03/03/2019] [Indexed: 05/21/2023]
Abstract
This work aims at developing an adequate theoretical basis for comparing assimilation of the ancestral C3 pathway with CO2 concentrating mechanisms (CCM) that have evolved to reduce photorespiratory yield losses. We present a novel model for C3 , C2 , C2 + C4 and C4 photosynthesis simulating assimilatory metabolism, energetics and metabolite traffic at the leaf level. It integrates a mechanistic description of light reactions to simulate ATP and NADPH production, and a variable engagement of cyclic electron flow. The analytical solutions are compact and thus suitable for larger scale simulations. Inputs were derived with a comprehensive gas-exchange experiment. We show trade-offs in the operation of C4 that are in line with ecophysiological data. C4 has the potential to increase assimilation over C3 at high temperatures and light intensities, but this benefit is reversed under low temperatures and light. We apply the model to simulate the introduction of progressively complex levels of CCM into C3 rice, which feeds > 3.5 billion people. Increasing assimilation will require considerable modifications such as expressing the NAD(P)H Dehydrogenase-like complex and upregulating cyclic electron flow, enlarging the bundle sheath, and expressing suitable transporters to allow adequate metabolite traffic. The simpler C2 rice may be a desirable alternative.
Collapse
Affiliation(s)
- Chandra Bellasio
- Research School of Biology, Australian National University, Acton, ACT, 2601, Australia
- University of the Balearic Islands, Palma, Illes Balears, 07122, Spain
- Trees and Timber Institute, National Research Council of Italy, Sesto Fiorentino, Florence, 50019, Italy
| | - Graham D Farquhar
- Research School of Biology, Australian National University, Acton, ACT, 2601, Australia
| |
Collapse
|
35
|
Perez RPA, Fournier C, Cabrera-Bosquet L, Artzet S, Pradal C, Brichet N, Chen TW, Chapuis R, Welcker C, Tardieu F. Changes in the vertical distribution of leaf area enhanced light interception efficiency in maize over generations of selection. PLANT, CELL & ENVIRONMENT 2019; 42:2105-2119. [PMID: 30801738 DOI: 10.1111/pce.13539] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 02/14/2019] [Accepted: 02/14/2019] [Indexed: 06/09/2023]
Abstract
Breeders select for yield, thereby indirectly selecting for traits that contribute to it. We tested if breeding has affected a range of traits involved in plant architecture and light interception, via the analysis of a panel of 60 maize hybrids released from 1950 to 2015. This was based on novel traits calculated from reconstructions derived from a phenotyping platform. The contribution of these traits to light interception was assessed in virtual field canopies composed of 3D plant reconstructions, with a model tested in a real field. Two categories of traits had different contributions to genetic progress. (a) The vertical distribution of leaf area had a high heritability and showed a marked trend over generations of selection. Leaf area tended to be located at lower positions in the canopy, thereby improving light penetration and distribution in the canopy. This potentially increased the carbon availability to ears, via the amount of light absorbed by the intermediate canopy layer. (b) Neither the horizontal distribution of leaves in the relation to plant rows nor the response of light interception to plant density showed appreciable trends with generations. Hence, among many architectural traits, the vertical distribution of leaf area was the main indirect target of selection.
Collapse
Affiliation(s)
- Raphaël P A Perez
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
- Université de Montpellier, CIRAD, INRA, Montpellier SupAgro, UMR AGAP, Montpellier, France
| | - Christian Fournier
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
| | | | - Simon Artzet
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
| | - Christophe Pradal
- Université de Montpellier, CIRAD, INRA, Montpellier SupAgro, UMR AGAP, Montpellier, France
| | - Nicolas Brichet
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
| | - Tsu-Wei Chen
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
- Institute of Horticultural Production Systems, Leibniz Universität Hannover, Hannover, Germany
| | - Romain Chapuis
- Université de Montpellier, INRA, Montpellier SupAgro, UE DIASCOPE, Montpellier, France
| | - Claude Welcker
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
| | - François Tardieu
- Université de Montpellier, INRA, Montpellier SupAgro, UMR LEPSE, Montpellier, France
| |
Collapse
|
36
|
Burgess AJ, Gibbs JA, Murchie EH. A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations? JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:2371-2380. [PMID: 30481324 DOI: 10.1093/jxb/ery424] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 11/19/2018] [Indexed: 05/12/2023]
Abstract
Wind-induced movement is a ubiquitous occurrence for all plants grown in natural or agricultural settings, and in the context of high, damaging wind speeds it has been well studied. However, the impact of lower wind speeds (which do not cause any damage) on mode of movement, light transmission, and photosynthetic properties has, surprisingly, not been fully explored. This impact is likely to be influenced by biomechanical properties and architectural features of the plant and canopy. A limited number of eco-physiological studies have indicated that movement in wind has the potential to alter light distribution within canopies, improving canopy productivity by relieving photosynthetic limitations. Given the current interest in canopy photosynthesis, it is timely to consider such movement in terms of crop yield progress. This opinion article sets out the background to wind-induced crop movement and argues that plant biomechanical properties may have a role in the optimization of whole-canopy photosynthesis via established physiological processes. We discuss how this could be achieved using canopy models.
Collapse
Affiliation(s)
- Alexandra J Burgess
- Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Sutton Bonington Campus, UK
| | - Jonathon A Gibbs
- School of Computer Science, University of Nottingham, Jubilee Campus, UK
| | - Erik H Murchie
- Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Sutton Bonington Campus, UK
| |
Collapse
|
37
|
Tang L, Yin D, Chen C, Yu D, Han W. Optimal Design of Plant Canopy Based on Light Interception: A Case Study With Loquat. FRONTIERS IN PLANT SCIENCE 2019; 10:364. [PMID: 30972094 PMCID: PMC6443822 DOI: 10.3389/fpls.2019.00364] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 03/08/2019] [Indexed: 05/10/2023]
Abstract
Canopy architecture determines the light distribution and light interception in the canopy. Reasonable shaping and pruning can optimize tree structure; maximize the utilization of land, space and light energy; and lay the foundation for achieving early fruiting, high yield, health and longevity. Due to the complexity of loquat canopy architecture and the multi-year period of tree growth, the variables needed for experiments in canopy type training are hardly accessible through field measurements. In this paper, we concentrated on exploring the relationship between branching angle and light interception using a three-dimensional (3D) canopy model in loquat (Eriobotrya japonica Lindl). First, detailed 3D models of loquat trees were built by integrating branch and organ models. Second, the morphological models of different loquat trees were constructed by interactive editing. Third, the 3D individual-tree modeling software LSTree integrated with the OpenGL shadow technique, a radiosity model and a modified rectangular hyperbola model was used to calculate the silhouette to total area ratio, the distribution of photosynthetically active radiation within canopies and the net photosynthetic rate, respectively. Finally, the influence of loquat tree organ organization on the light interception of the trees was analyzed with different parameters. If the single branch angle between the level 2 scaffold branch and trunk is approximately 15° and the angles among the level 2 scaffold branches range from 60 to 90°, then a better light distribution can be obtained. The results showed that the branching angle has a significant impact on light interception, which is useful for grower manipulation of trees, e.g., shoot bending (scaffold branch angle). Based on this conclusion, a reasonable tree structure was selected for intercepting light. This quantitative simulation and analytical method provides a new digital and visual method that can aid in the design of tree architecture.
Collapse
Affiliation(s)
- Liyu Tang
- Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
- National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, China
| | - Dan Yin
- Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
- National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, China
| | - Chongcheng Chen
- Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
- National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, China
| | - Dayu Yu
- Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
- National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, China
| | - Wei Han
- Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
- National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, China
| |
Collapse
|
38
|
Barillot R, Chambon C, Fournier C, Combes D, Pradal C, Andrieu B. Investigation of complex canopies with a functional-structural plant model as exemplified by leaf inclination effect on the functioning of pure and mixed stands of wheat during grain filling. ANNALS OF BOTANY 2019; 123:727-742. [PMID: 30535066 PMCID: PMC6417479 DOI: 10.1093/aob/mcy208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 10/29/2018] [Indexed: 05/13/2023]
Abstract
BACKGROUND AND AIMS Because functional-structural plant models (FSPMs) take plant architecture explicitly into consideration, they constitute a promising approach for unravelling plant-plant interactions in complex canopies. However, existing FSPMs mainly address competition for light. The aim of the present work was to develop a comprehensive FSPM accounting for the interactions between plant architecture, environmental factors and the metabolism of carbon (C) and nitrogen (N). METHODS We developed an original FSPM by coupling models of (1) 3-D wheat architecture, (2) light distribution within canopies and (3) C and N metabolism. Model behaviour was evaluated by simulating the functioning of theoretical canopies consisting of wheat plants of contrasting leaf inclination, arranged in pure and mixed stands and considering four culm densities and three sky conditions. KEY RESULTS As an emergent property of the detailed description of metabolism, the model predicted a linear relationship between absorbed light and C assimilation, and a curvilinear relationship between grain mass and C assimilation, applying to both pure stands and each component of mixtures. Over the whole post-anthesis period, planophile plants tended to absorb more light than erectophile plants, resulting in a slightly higher grain mass. This difference was enhanced at low plant density and in mixtures, where the erectophile behaviour resulted in a loss of competitiveness. CONCLUSION The present work demonstrates that FSPMs provide a framework allowing the analysis of complex canopies such as studying the impact of particular plant traits, which would hardly be feasible experimentally. The present FSPM can help in interpreting complex interactions by providing access to critical variables such as resource acquisition and allocation, internal metabolic concentrations, leaf life span and grain filling. Simulations were based on canopies identically initialized at flowering; extending the model to the whole cycle is thus required so that all consequences of a trait can be evaluated.
Collapse
Affiliation(s)
- Romain Barillot
- UR P3F, INRA, Lusignan, France
- UMR ECOSYS, INRA, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon, France
| | - Camille Chambon
- UMR ECOSYS, INRA, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon, France
| | - Christian Fournier
- UMR LEPSE, INRA, Montpellier SupAgro, Université de Montpellier, Montpellier, France
| | | | - Christophe Pradal
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Univ Montpellier, CIRAD, INRA, Inria, Montpellier SupAgro, Montpellier, France
- Inria, Zenith, Montpellier, France
| | - Bruno Andrieu
- UMR ECOSYS, INRA, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon, France
| |
Collapse
|
39
|
Wang D, Fahad S, Saud S, Kamran M, Khan A, Khan MN, Hammad HM, Nasim W. Morphological acclimation to agronomic manipulation in leaf dispersion and orientation to promote "Ideotype" breeding: Evidence from 3D visual modeling of "super" rice (Oryza sativa L.). PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2019; 135:499-510. [PMID: 30459081 DOI: 10.1016/j.plaphy.2018.11.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 10/25/2018] [Accepted: 11/08/2018] [Indexed: 05/28/2023]
Abstract
Food security is confronted by major threats from crop yield stagnation and global climate change. The benefits of phenotypic plasticity across environments for given crop genotypes are thought to be imperative for high-yielding cropping systems. Given that 3D modeling is increasingly recognized for dissecting crop phenotypic plasticity, it requires an assessment of the potential benefits of architectural adaptation of super rice to different agronomic practices. In this study, we focused on a comprehensive evaluation of the phenotypic plasticity of super rice on the aspects of 3D architectural "reoptimization," photosynthetic productivity, nitrogen economy, and grain yield. A super rice phenotype in superhigh-yielding practice (SH) displays a "reoptimized" morphogenesis in the leaf vertical dispersion and orientation in comparison to that in Farmer's practice (FP). Specifically, a super rice phenotype in SH is provided with a high cumulative rate and peaks of leaf area, increasing the distribution of high leaf inclination angles in comparison to that in FP, particularly in the upper parts of the canopy. These "reoptimizations" sustained profits in light environment within a canopy, leaf area duration, photosynthetic light harvest, and light utilization efficiency and were coordinated with improving nitrogen uptake and assimilation. The current literature indicates that the agronomic plasticity of super rice in architectural "reoptimization" is a promising perspective for high yield formation. Our results suggest that more emphasis should be placed upon agronomic adaptation strategies for super rice across diverse genotypes and environments to further improve crop establishment and photosynthetic productivity.
Collapse
Affiliation(s)
- Depeng Wang
- College of Life Science, Linyi University, Linyi, Shandong 276000, China.
| | - Shah Fahad
- Department of Agriculture, University of Swabi, Khyber Palhtunkhwa, Pakistan.
| | - Shah Saud
- College of Horticulture, Northeast Agricultural University, Harbin, China
| | - Muhammad Kamran
- College of Agronomy, Key Laboratory of Crop Physio-Ecology and Tillage in Northwestern Loess Plateau, Minister of Agriculture, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Aziz Khan
- Key Laboratory of Plant Genetic and Breeding, College of Agriculture, Guangxi University, Nanning 530005, China
| | - Mohammad Nauman Khan
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Hafiz Mohkum Hammad
- Department of Environmental Sciences, COMSATS Institute of Information Technology, Vehari 61100, Pakistan
| | - Wajid Nasim
- Department of Environmental Sciences, COMSATS Institute of Information Technology, Vehari 61100, Pakistan
| |
Collapse
|
40
|
Gibbs JA, Pound M, French AP, Wells DM, Murchie E, Pridmore T. Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction. PLANT PHYSIOLOGY 2018; 178:524-534. [PMID: 30097468 PMCID: PMC6181042 DOI: 10.1104/pp.18.00664] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 07/27/2018] [Indexed: 05/18/2023]
Abstract
Three-dimensional (3D) computer-generated models of plants are urgently needed to support both phenotyping and simulation-based studies such as photosynthesis modeling. However, the construction of accurate 3D plant models is challenging, as plants are complex objects with an intricate leaf structure, often consisting of thin and highly reflective surfaces that vary in shape and size, forming dense, complex, crowded scenes. We address these issues within an image-based method by taking an active vision approach, one that investigates the scene to intelligently capture images, to image acquisition. Rather than use the same camera positions for all plants, our technique is to acquire the images needed to reconstruct the target plant, tuning camera placement to match the plant's individual structure. Our method also combines volumetric- and surface-based reconstruction methods and determines the necessary images based on the analysis of voxel clusters. We describe a fully automatic plant modeling/phenotyping cell (or module) comprising a six-axis robot and a high-precision turntable. By using a standard color camera, we overcome the difficulties associated with laser-based plant reconstruction methods. The 3D models produced are compared with those obtained from fixed cameras and evaluated by comparison with data obtained by x-ray microcomputed tomography across different plant structures. Our results show that our method is successful in improving the accuracy and quality of data obtained from a variety of plant types.
Collapse
Affiliation(s)
- Jonathon A Gibbs
- School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom
| | - Michael Pound
- School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom
| | - Andrew P French
- School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom
| | - Darren M Wells
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, Leicestershire LE12 5RD, United Kingdom
| | - Erik Murchie
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, Leicestershire LE12 5RD, United Kingdom
| | - Tony Pridmore
- School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom
| |
Collapse
|
41
|
Retkute R, Townsend AJ, Murchie EH, Jensen OE, Preston SP. Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies. ANNALS OF BOTANY 2018; 122:291-302. [PMID: 29846520 PMCID: PMC6070062 DOI: 10.1093/aob/mcy067] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 04/17/2018] [Indexed: 05/06/2023]
Abstract
Background and Aims Diurnal changes in solar position and intensity combined with the structural complexity of plant architecture result in highly variable and dynamic light patterns within the plant canopy. This affects productivity through the complex ways that photosynthesis responds to changes in light intensity. Current methods to characterize light dynamics, such as ray-tracing, are able to produce data with excellent spatio-temporal resolution but are computationally intensive and the resulting data are complex and high-dimensional. This necessitates development of more economical models for summarizing the data and for simulating realistic light patterns over the course of a day. Methods High-resolution reconstructions of field-grown plants are assembled in various configurations to form canopies, and a forward ray-tracing algorithm is applied to the canopies to compute light dynamics at high (1 min) temporal resolution. From the ray-tracer output, the sunlit or shaded state for each patch on the plants is determined, and these data are used to develop a novel stochastic model for the sunlit-shaded patterns. The model is designed to be straightforward to fit to data using maximum likelihood estimation, and fast to simulate from. Key Results For a wide range of contrasting 3-D canopies, the stochastic model is able to summarize, and replicate in simulations, key features of the light dynamics. When light patterns simulated from the stochastic model are used as input to a model of photoinhibition, the predicted reduction in carbon gain is similar to that from calculations based on the (extremely costly) ray-tracer data. Conclusions The model provides a way to summarize highly complex data in a small number of parameters, and a cost-effective way to simulate realistic light patterns. Simulations from the model will be particularly useful for feeding into larger-scale photosynthesis models for calculating how light dynamics affects the photosynthetic productivity of canopies.
Collapse
Affiliation(s)
- Renata Retkute
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK
- Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences, University of Warwick, Coventry, UK
| | - Alexandra J Townsend
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK
| | - Erik H Murchie
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK
| | - Oliver E Jensen
- School of Mathematics, University of Manchester, Oxford Road, Manchester, UK
| | - Simon P Preston
- School of Mathematical Sciences, University of Nottingham, Nottingham, UK
| |
Collapse
|