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

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2019-01-01 Epub Date: 2019-04-25 DOI:10.1093/insilicoplants/diy003
Tian-Gen Chang, Shuoqi Chang, Qing-Feng Song, Shahnaz Perveen, Xin-Guang Zhu
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引用次数: 18

Abstract

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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系统模型、表型组学和基因组学:开发光合高效高产作物的三大支柱。
近年来,主要主要作物的产量增长停滞不前,这导致植物生物学家和育种家将重点放在大幅提高作物产量以满足日益增长的粮食需求这一紧迫挑战上。系统模型已经开始显示出它们在指导作物改良以提高生物量和粮食产量方面的能力。在此,我们认为系统模型、表型组学和基因组学相结合是未来高产光合高效作物育种的三大支柱。简而言之,系统模型可用于指导特定品种的育种目标识别,并定义特定作物在特定环境下实现高产的最佳生理和结构参数。表型组学可以支持高通量的建筑、生理、生化和分子参数的收集,可用于支持模型验证和模型参数化。基因组技术可以通过更有效地绘制基因型和表型变异之间的图谱来加速作物育种,并指导模型设计性状的基因组工程或编辑。在本文中,我们详细阐述了这些作用以及它们如何协同工作以支持未来的HYPEC育种。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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