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Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding
The environmental conditions in customered speed breeding practice are, to some extent, empirical and, thus, can be further optimized. Crop and plant models have been developed as powerful tools in predicting growth and development under various environments for extensive crop species. To improve sp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561689/ https://www.ncbi.nlm.nih.gov/pubmed/37817886 http://dx.doi.org/10.34133/plantphenomics.0099 |
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author | Yu, Yi Cheng, Qin Wang, Fei Zhu, Yulei Shang, Xiaoguang Jones, Ashley He, Haohua Song, Youhong |
author_facet | Yu, Yi Cheng, Qin Wang, Fei Zhu, Yulei Shang, Xiaoguang Jones, Ashley He, Haohua Song, Youhong |
author_sort | Yu, Yi |
collection | PubMed |
description | The environmental conditions in customered speed breeding practice are, to some extent, empirical and, thus, can be further optimized. Crop and plant models have been developed as powerful tools in predicting growth and development under various environments for extensive crop species. To improve speed breeding, crop models can be used to predict the phenotypes resulted from genotype by environment by management at the population level, while plant models can be used to examine 3-dimensional plant architectural development by microenvironments at the organ level. By justifying the simulations via numerous virtual trials using models in testing genotype × environment × management, an optimized combination of environmental factors in achieving desired plant phenotypes can be quickly determined. Artificial intelligence in assisting for optimization is also discussed. We admit that the appropriate modifications on modeling algorithms or adding new modules may be necessary in optimizing speed breeding for specific uses. Overall, this review demonstrates that crop and plant models are promising tools in providing the optimized combinations of environment factors in advancing crop growth and development for speed breeding. |
format | Online Article Text |
id | pubmed-10561689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-105616892023-10-10 Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding Yu, Yi Cheng, Qin Wang, Fei Zhu, Yulei Shang, Xiaoguang Jones, Ashley He, Haohua Song, Youhong Plant Phenomics Review Article The environmental conditions in customered speed breeding practice are, to some extent, empirical and, thus, can be further optimized. Crop and plant models have been developed as powerful tools in predicting growth and development under various environments for extensive crop species. To improve speed breeding, crop models can be used to predict the phenotypes resulted from genotype by environment by management at the population level, while plant models can be used to examine 3-dimensional plant architectural development by microenvironments at the organ level. By justifying the simulations via numerous virtual trials using models in testing genotype × environment × management, an optimized combination of environmental factors in achieving desired plant phenotypes can be quickly determined. Artificial intelligence in assisting for optimization is also discussed. We admit that the appropriate modifications on modeling algorithms or adding new modules may be necessary in optimizing speed breeding for specific uses. Overall, this review demonstrates that crop and plant models are promising tools in providing the optimized combinations of environment factors in advancing crop growth and development for speed breeding. AAAS 2023-10-09 /pmc/articles/PMC10561689/ /pubmed/37817886 http://dx.doi.org/10.34133/plantphenomics.0099 Text en Copyright © 2023 Yi Yu et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Yu, Yi Cheng, Qin Wang, Fei Zhu, Yulei Shang, Xiaoguang Jones, Ashley He, Haohua Song, Youhong Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title | Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title_full | Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title_fullStr | Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title_full_unstemmed | Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title_short | Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding |
title_sort | crop/plant modeling supports plant breeding: i. optimization of environmental factors in accelerating crop growth and development for speed breeding |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561689/ https://www.ncbi.nlm.nih.gov/pubmed/37817886 http://dx.doi.org/10.34133/plantphenomics.0099 |
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