Biochemical indicators of drought tolerance in the common bean (Phaseolus vulgaris L.)

Biochemical indicators of drought tolerance in the common bean (Phaseolus vulgaris L.)
复制标题

DOI:
10.1007/s10681-016-1720-4
复制
发表时间:
2016-07-01
期刊:
影响因子:
1.9
通讯作者:
Carbonell, Sergio A. M.
Carbonell, Sergio A. M.
中科院分区:
农林科学3区
文献类型:
--
作者:
Andrade, Estela R.;Ribeiro, Vinicius N.;Carbonell, Sergio A. M.

文献摘要

被引文献

相似文献

普通菜豆(Phaseolus vulgaris L.)是一种重要的作物,通常种植在缺水地区,导致产量显著下降。培育能够更好地耐受此类条件的基因型需要有效整合种质库中的资源。为此,我们调查了30个菜豆基因型对间歇干旱胁迫的反应,目的是鉴定耐旱性的生化标记。分析的基因型在灌溉和干旱条件下的生产力和可溶性糖,淀粉和氨基酸水平的显着变异。此外,我们观察到这些成分的水平在干旱胁迫下的变化,提供信息的豆类植物在这种条件下的反应。相关分析表明,茎的成分和生产力之间缺乏相关性。另一方面,谷物的几种组分,包括淀粉,总可溶性糖和氨基酸的水平与干旱和灌溉条件下的生产力呈强正相关,使这些组分潜在有用的生化标记的基因型选择育种计划。主成分分析也表明存在的生化组成和生产力之间的关系,但加强了这样一个事实,即多种机制是负责解释耐受和易感基因型之间的生产力差异。
The common bean (Phaseolus vulgaris L.) is an important crop that is often planted in areas that suffer from low water availability, leading to significant reductions in productivity. The breeding of genotypes better able to tolerate such conditions requires the efficient incorporation of resources present in germplasm banks. To this end, we investigated the responses of thirty bean genotypes to intermittent drought stress, with the aim of identifying biochemical markers for drought tolerance. The genotypes analyzed presented significant variability in both productivity and levels of soluble sugars, starch and amino acids under both irrigated and drought conditions. Moreover, we observed changes in the levels of these components under drought stress, providing information on the responses of the bean plants to this condition. Correlation analysis indicated a lack of relationship between components of the stem and productivity. On the other hand, levels of several components of the grain, including starch, total soluble sugars and amino acids were strongly positively correlated with productivity under drought and irrigated conditions, making these components potentially useful biochemical markers for the selection of genotypes for breeding programs. Principal components analysis also indicated the presence of a relationship between biochemical composition and productivity, but reinforced the fact that multiple mechanisms are responsible for explaining the differences in productivity between tolerant and susceptible genotypes.