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Stay-green traits to improve wheat adaptation in well-watered and water-limited environments

机译:保持绿色特性可在水源充足和缺水的环境中改善小麦的适应性

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摘要

A stay-green phenotype enables crops to retain green leaves longer after anthesis compared with senescent types, potentially improving yield. Measuring the normalized difference vegetative index (NDVI) during the whole senescence period allows quantification of component stay-green traits contributing to a stay-green phenotype. These objective and standardized traits can be compared across genotypes and environments. Traits examined include maximum NDVI near anthesis (Nmax), senescence rate (SR), a trait integrating senescence (SGint), plus time from anthesis to onset (OnS), mid-point (MidS), and near completion (EndS) of senescence. The correlation between stay-green traits and yield was studied in eight contrasting environments ranging from well watered to severely water limited. Environments were each classified into one of the four major drought environment types (ETs) previously identified for the Australian wheat cropping system. SGint, OnS, and MidS tended to have higher values in higher yielding environments for a given genotype, as well as for higher yielding genotypes within a given environment. Correlation between specific stay-green traits and yield varied with ET. In the studied population, SGint, OnS, and MidS strongly correlated with yield in three of the four ETs which included well-watered environments (0.43–0.86), but less so in environments with only moderate water-stress after anthesis (−0.03 to 0.31). In contrast, Nmax was most highly correlated with yield under moderate post-anthesis water stress (0.31–0.43). Selection for particular stay-green traits, combinations of traits, and/or molecular markers associated with the traits could enhance genetic progress toward stay-green wheats with higher, more stable yield in both well-watered and water-limited conditions.
机译:与衰老类型相比,保持绿色的表型使农作物在开花后保留绿叶的时间更长,从而可以提高产量。在整个衰老期中测量归一化差异植物营养指数(NDVI)可以量化有助于保持绿色表型的组分保持绿色性状。这些客观和标准化的特征可以在基因型和环境之间进行比较。研究的性状包括接近花期的最大NDVI(Nmax),衰老率(SR),整合衰老的性状(SGint),从花期到发作的时间(OnS),中点(MidS)和接近完成的衰老(EndS) 。在八种形成对比的环境中研究了保持绿色性状与产量之间的相关性,这些环境从水源充足到水源严重受限。每个环境都被归类为澳大利亚小麦种植系统先前确定的四种主要干旱环境类型(ET)之一。对于给定的基因型,SGint,OnS和MidS在较高产量的环境中以及在给定环境中较高产量的基因型中倾向于具有较高的值。特定的保持绿色性状与产量之间的相关性随ET的变化而变化。在所研究的人群中,SGint,OnS和MidS与四个ET中的三个与产量密切相关,其中四个ET的浇水环境良好(0.43-0.86),但在花后只有适度水分胁迫的环境中(-0.03至0.03 0.31)。相反,在中等花期后水分胁迫(0.31-0.43)下,Nmax与产量高度相关。选择特定的常绿性状,性状组合和/或与这些性状相关的分子标记可以提高在保持水分充足和水分有限的条件下向较高性状小麦生长的遗传进展,从而获得更高,更稳定的产量。

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