University of Milan, DISAA, Cassandra lab, via Celoria 2, 20133, Milano, Italy.
University of Milan, DEMM, Cassandra lab, via Celoria 2, 20133, Milano, Italy.
Sci Rep. 2017 Jun 28;7(1):4352. doi: 10.1038/s41598-017-04022-y.
Eco-physiological models are increasingly used to analyze G × E × M interactions to support breeding programs via the design of ideotypes for specific contexts. However, available crop models are only partly suitable for this purpose, since they often lack clear relationships between parameters and traits breeders are working on. Taking salt stress tolerance and rice as a case study, we propose a paradigm shift towards the building of ideotyping-specific models explicitly around traits involved in breeding programs. Salt tolerance is a complex trait relying on different physiological processes that can be alternatively selected to improve the overall crop tolerance. We developed a new model explicitly accounting for these traits and we evaluated its performance using data from growth chamber experiments (e.g., R ranged from 0.74 to 0.94 for the biomass of different plant organs). Using the model, we were able to show how an increase in the overall tolerance can derive from completely different physiological mechanisms according to soil/water salinity dynamics. The study demonstrated that a trait-based approach can increase the usefulness of mathematical models for supporting breeding programs.
生态生理模型越来越多地被用于分析 G×E×M 相互作用，通过为特定情境设计理想型来支持育种计划。然而，现有的作物模型在这方面仅部分适用，因为它们通常缺乏参数与育种者关注的性状之间的明确关系。以耐盐性和水稻为例，我们提出了一种范式转变，即朝着围绕育种计划中涉及的性状构建专门的理想型模型的方向发展。耐盐性是一个复杂的性状，依赖于不同的生理过程，可以通过替代选择来提高作物的整体耐盐性。我们开发了一个新模型，明确考虑了这些性状，并使用生长室实验的数据评估了其性能（例如，不同植物器官的生物量的 R 值范围从 0.74 到 0.94）。使用该模型，我们能够展示根据土壤/水盐度动态，整体耐受性的提高可以源自完全不同的生理机制。该研究表明，基于性状的方法可以提高数学模型在支持育种计划方面的有用性。
