首页> 外文期刊>Journal of Experimental Botany >Soil coring at multiple field environments can directly quantify variation in deep root traits to select wheat genotypes for breeding
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Soil coring at multiple field environments can directly quantify variation in deep root traits to select wheat genotypes for breeding

机译:多田环境下的土壤取芯可以直接量化深根性状的变异,从而选择小麦基因型进行育种

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We aim to incorporate deep root traits into future wheat varieties to increase access to stored soil water during grain development, which is twice as valuable for yield as water captured at younger stages. Most root phenotyping efforts have been indirect studies in the laboratory, at young plant stages, or using indirect shoot measures. Here, soil coring to 2 m depth was used across three field environments to directly phenotype deep root traits on grain development (depth, descent rate, density, length, and distribution). Shoot phenotypes at coring included canopy temperature depression, chlorophyll reflectance, and green leaf scoring, with developmental stage, biomass, and yield. Current varieties, and genotypes with breeding histories and plant architectures expected to promote deep roots, were used to maximize identification of variation due to genetics. Variation was observed for deep root traits (e.g. 111.4-178.5 cm (60%) for depth; 0.09-0.22 cm/C day (144%) for descent rate) using soil coring in the field environments. There was significant variation for root traits between sites, and variation in the relative performance of genotypes between sites. However, genotypes were identified that performed consistently well or poorly at both sites. Furthermore, high-performing genotypes were statistically superior in root traits than low-performing genotypes or commercial varieties. There was a weak but significant negative correlation between green leaf score (-0.5), CTD (0.45), and rooting depth and a positive correlation for chlorophyll reflectance (0.32). Shoot phenotypes did not predict other root traits. This study suggests that field coring can directly identify variation in deep root traits to speed up selection of genotypes for breeding programmes.
机译:我们的目标是将深根特征纳入未来的小麦品种中,以增加谷物发育过程中对储存的土壤水的获取,这对产量的价值是在较年轻阶段捕获的水的两倍。大多数根系表型研究工作都是在实验室,幼年阶段或使用间接芽苗措施进行的间接研究。在这里,在三个田间环境中使用深度为2 m的土壤取芯来直接对谷物发育的深根性状进行表型分析(深度,下降率,密度,长度和分布)。取芯时的芽表型包括冠层温度下降,叶绿素反射率和绿叶得分,以及发育阶段,生物量和产量。当前的品种和具有育种历史和植物结构的基因型有望促进深根,被用于最大程度地识别由于遗传引起的变异。在田间环境中使用土壤取芯观察到深根性状的变化(例如,深度为111.4-178.5 cm(60%);下降率为0.09-0.22 cm / C day(144%))。位点之间的根性状存在显着差异,位点之间的基因型相对表现也存在差异。但是,鉴定出在两个位点均表现良好或较差的基因型。此外,高性能基因型在根性状上在统计学上优于低性能基因型或商业品种。绿叶分数(-0.5),CTD(0.45)和生根深度之间存在弱但显着的负相关,而叶绿素反射率则呈正相关(0.32)。芽表型不能预测其他根系性状。这项研究表明,田间取芯可以直接识别深根性状的变异,从而加快育种计划的基因型选择。

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