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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...

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Detalles Bibliográficos
Autores principales: Yu, Yi, Cheng, Qin, Wang, Fei, Zhu, Yulei, Shang, Xiaoguang, Jones, Ashley, He, Haohua, Song, Youhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
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.
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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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