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Characterization and interrelationships of soybean [Glycine max (L.) Merrill] yield components during dry and humid seasons

机译:干旱和潮湿季节大豆[Glycine max(L.)Merrill]产量构成特征和相互关系

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Global climate changes have caused a significant weather oscillation. The objectives of this study were to determine the influence of weather conditions on the association of soybean seed yield and yield components, to find out the magnitude and effect of each component and their reaction to environmental stress. Seventy-four soybean varieties from nine geographical origins were studied during two seasons (2015 with less rainfall and increased temperatures and 2016 with increased humidity and moderate temperatures) at the Croatian Centre for Agriculture, Food and Rural Affairs in Osijek, Croatia. Correlation and path analysis were used to examine the association of the studied traits. The variance analysis revealed significant (P<0.01) effect of genotype, year and their interactions on all examined traits. During both seasons the seed yield was in significant and positive correlation with seed number per plant, pods number per plant, seed number per pod and 1,000-seed weight. All the traits mentioned had a stronger correlation with the yield in the dry 2015 compared to the year 2016. The seed number per plant had the highest correlation coefficients and a high and positive direct effect on seed yield in both years. Therefore, the selection of high yielding genotypes based on this trait can be done directly regardless of the variable weather conditions. The hierarchical clustering of varieties resulted in eight clusters in both years, confirming high genetic variability of the examined varieties. In 2016 one cluster that mainly consisted of varieties typical for the breeding programs of this region was singled out.
机译:全球气候变化导致了重大的天气振荡。这项研究的目的是确定天气条件对大豆种子产量与产量成分之间的关​​系的影响,以找出每种成分的数量和作用及其对环境胁迫的反应。在克罗地亚奥西耶克的克罗地亚农业,粮食和农村事务中心研究了两个季节(2015年降雨量减少,气温升高,2016年湿度和中温升高)的来自九个地理起源的74个大豆品种。相关性和路径分析被用来检验所研究特征的关联。方差分析表明,基因型,年份及其相互作用对所有检测性状均具有显着(P <0.01)影响。在两个季节中,种子产量与每株种子数,每株豆荚数,每株豆荚的种子数和1,000粒重成显着正相关。与2016年相比,提到的所有性状与2015年干旱期的产量都有更强的相关性。在这两年中,每株植物的种子数具有最高的相关系数,并且对种子产量具有高而正的直接影响。因此,无论天气条件如何变化,都可以直接基于该性状选择高产基因型。品种的等级聚类在两个年度中导致了八个聚类,证实了所检查品种的高遗传变异性。在2016年,一个主要由该地区育种计划典型品种组成的集群被选出。

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