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The yield correlations of selectable physiological traits in a population of advanced spring wheat lines grown in warm and drought environments.

机译:在温暖和干旱环境下生长的高级春小麦品系群体中某些生理性状的产量相关性。

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摘要

Genetic progress in yield will increase if more traits conferring better agronomic and physiological performance are brought together in the same variety through full exploitation of genotyping and phenotyping techniques in breeding. A set of 288 spring wheat advanced lines was tested in different countries in North Africa, Western and South Asia, as well as in Mexico (total of 12 environments) to: identify high yielding germplasm adapted to the former regions; identify sources of variation for physiological traits; and test the ability of physiological traits to predict yield. A group of high yielding advanced lines has been selected in these environments, but significant genotype by environment interactions were observed and were significantly explained (21% of yield variation) by soil pH and air temperature. Associations between traits were dependent on the environment, specifically TKW was positively associated with yield in almost all environments however in Sudan, negative associations were observed. In contrast cooler CT was consistently associated with yield and the trait showed moderate heritability. Agronomic and physiological variables were able to predict 27% of yield variation across advanced lines (R2% by ridge regression) using means of all environments and this model became more significant under stress environments (explaining around 34% of yield variation). Results suggested that if drought and heat adaptive traits are brought together in one genotype, yields can be further increased particularly in low yielding environments.
机译:如果在育种中充分利用基因型和表型技术,将更多具有更好农艺和生理性能的性状整合到同一品种中,则产量的遗传进步将增加。在北非,西亚和南亚以及墨西哥(共12种环境)的不同国家对一组288株春小麦先进品系进行了测试,以:找出适合于先前地区的高产种质;确定生理特征的变异来源;并测试生理特征预测产量的能力。在这些环境中选择了一组高产的先进系,但是观察到了由环境相互作用引起的显着基因型,并通过土壤pH和气温对其进行了显着解释(产量变化的21%)。性状之间的关联取决于环境,特别是在几乎所有环境中,TKW与产量成正相关,但是在苏丹,观察到负相关。相反,凉爽的CT与产量始终相关,并且性状显示出中等的遗传力。在所有环境下,农艺和生理变量能够预测27%的先进品系的产量变化(通过垄作回归的 R 2 %),并且该模型在压力环境(大约占产量变化的34%)。结果表明,如果将干旱和热适应性状整合到一种基因型中,则产量可进一步提高,特别是在低产环境中。

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