Thiry Arnauld A, Chavez Dulanto Perla N, Reynolds Matthew P, Davies William J
International Maize and Wheat Improvement Centre (CIMMYT), Crrtra. Mexico-Veracruz km 45, Col. El Batan, Texcoco, Edo. de Mexico, CP 56130, Mexico The Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
International Maize and Wheat Improvement Centre (CIMMYT), Crrtra. Mexico-Veracruz km 45, Col. El Batan, Texcoco, Edo. de Mexico, CP 56130, Mexico.
J Exp Bot. 2016 Oct;67(19):5593-5603. doi: 10.1093/jxb/erw330. Epub 2016 Sep 27.
The need to accelerate the selection of crop genotypes that are both resistant to and productive under abiotic stress is enhanced by global warming and the increase in demand for food by a growing world population. In this paper, we propose a new method for evaluation of wheat genotypes in terms of their resilience to stress and their production capacity. The method quantifies the components of a new index related to yield under abiotic stress based on previously developed stress indices, namely the stress susceptibility index, the stress tolerance index, the mean production index, the geometric mean production index, and the tolerance index, which were created originally to evaluate drought adaptation. The method, based on a scoring scale, offers simple and easy visualization and identification of resilient, productive and/or contrasting genotypes according to grain yield. This new selection method could help breeders and researchers by defining clear and strong criteria to identify genotypes with high resilience and high productivity and provide a clear visualization of contrasts in terms of grain yield production under stress. It is also expected that this methodology will reduce the time required for first selection and the number of first-selected genotypes for further evaluation by breeders and provide a basis for appropriate comparisons of genotypes that would help reveal the biology behind high stress productivity of crops.
全球气候变暖和世界人口增长导致对粮食需求增加,这进一步凸显了加快选育在非生物胁迫下既具抗性又高产的作物基因型的必要性。本文提出了一种新方法,用于评估小麦基因型的胁迫恢复力和生产能力。该方法基于先前开发的胁迫指数(即胁迫敏感指数、胁迫耐受指数、平均生产指数、几何平均生产指数和耐受指数,这些指数最初是为评估干旱适应性而创建的),对与非生物胁迫下产量相关的新指数的组成部分进行量化。该方法基于评分量表,根据籽粒产量提供简单易操作的可视化方法,以识别具有恢复力、高产和/或具有对比性的基因型。这种新的选择方法可以通过定义明确且有力的标准来帮助育种者和研究人员识别具有高恢复力和高生产力的基因型,并清晰展示胁迫下籽粒产量的差异。预计该方法还将减少育种者首次筛选所需的时间和首次筛选出用于进一步评估的基因型数量,并为基因型的适当比较提供基础,这将有助于揭示作物高胁迫生产力背后的生物学原理。