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Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops

Recent years witnessed a stagnation in yield enhancement in major staple crops, which leads plant biologists and breeders to focus on an urgent challenge to dramatically increase crop yield to meet the growing food demand. Systems models have started to show their capacity in guiding crops improveme...

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Autores principales: Chang, Tian-Gen, Chang, Shuoqi, Song, Qing-Feng, Perveen, Shahnaz, Zhu, Xin-Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731669/
https://www.ncbi.nlm.nih.gov/pubmed/33381682
http://dx.doi.org/10.1093/insilicoplants/diy003
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author Chang, Tian-Gen
Chang, Shuoqi
Song, Qing-Feng
Perveen, Shahnaz
Zhu, Xin-Guang
author_facet Chang, Tian-Gen
Chang, Shuoqi
Song, Qing-Feng
Perveen, Shahnaz
Zhu, Xin-Guang
author_sort Chang, Tian-Gen
collection PubMed
description Recent years witnessed a stagnation in yield enhancement in major staple crops, which leads plant biologists and breeders to focus on an urgent challenge to dramatically increase crop yield to meet the growing food demand. Systems models have started to show their capacity in guiding crops improvement for greater biomass and grain yield production. Here we argue that systems models, phenomics and genomics combined are three pillars for the future breeding for high-yielding photosynthetically efficient crops (HYPEC). Briefly, systems models can be used to guide identification of breeding targets for a particular cultivar and define optimal physiological and architectural parameters for a particular crop to achieve high yield under defined environments. Phenomics can support collection of architectural, physiological, biochemical and molecular parameters in a high-throughput manner, which can be used to support both model validation and model parameterization. Genomic techniques can be used to accelerate crop breeding by enabling more efficient mapping between genotypic and phenotypic variation, and guide genome engineering or editing for model-designed traits. In this paper, we elaborate on these roles and how they can work synergistically to support future HYPEC breeding.
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spelling pubmed-77316692020-12-28 Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops Chang, Tian-Gen Chang, Shuoqi Song, Qing-Feng Perveen, Shahnaz Zhu, Xin-Guang In Silico Plants Review Recent years witnessed a stagnation in yield enhancement in major staple crops, which leads plant biologists and breeders to focus on an urgent challenge to dramatically increase crop yield to meet the growing food demand. Systems models have started to show their capacity in guiding crops improvement for greater biomass and grain yield production. Here we argue that systems models, phenomics and genomics combined are three pillars for the future breeding for high-yielding photosynthetically efficient crops (HYPEC). Briefly, systems models can be used to guide identification of breeding targets for a particular cultivar and define optimal physiological and architectural parameters for a particular crop to achieve high yield under defined environments. Phenomics can support collection of architectural, physiological, biochemical and molecular parameters in a high-throughput manner, which can be used to support both model validation and model parameterization. Genomic techniques can be used to accelerate crop breeding by enabling more efficient mapping between genotypic and phenotypic variation, and guide genome engineering or editing for model-designed traits. In this paper, we elaborate on these roles and how they can work synergistically to support future HYPEC breeding. Oxford University Press 2019-04-25 2019 /pmc/articles/PMC7731669/ /pubmed/33381682 http://dx.doi.org/10.1093/insilicoplants/diy003 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Annals of Botany Company http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Chang, Tian-Gen
Chang, Shuoqi
Song, Qing-Feng
Perveen, Shahnaz
Zhu, Xin-Guang
Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title_full Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title_fullStr Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title_full_unstemmed Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title_short Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
title_sort systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731669/
https://www.ncbi.nlm.nih.gov/pubmed/33381682
http://dx.doi.org/10.1093/insilicoplants/diy003
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