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首页> 外文期刊>Field Crops Research >Understanding the relationships between genetic and phenotypic structures of a collection of elite durum wheat accessions.
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Understanding the relationships between genetic and phenotypic structures of a collection of elite durum wheat accessions.

机译:了解一批硬质硬质小麦种质的遗传和表型结构之间的关系。

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A collection of 191 durum wheat accessions representing Mediterranean Basin genetic diversity was grown in nine different environments in four countries, with productivities ranging from 0.99 to 6.78 t ha-1. The population breeding structure comprised eight genetic subpopulations (GSPs) using data derived from 97 evenly distributed SSR markers. The phenotypic structure was assessed: (i) from the mean values of six agronomic traits across environments (multivariate), and (ii) from data representing each trait in each environment (univariate). Mean daily maximum temperature from emergence to heading was significantly (P<0.05) and negatively associated to yield, accounting for 59% of yield variations. Significant but weak relationships were obtained between the genetic similarities among accessions and their overall agronomic performance (r=0.15, P<0.001), plant height (r=0.12, P<0.001), spike-peduncle length (r=0.06, P<0.01) and thousand kernel weight (r=0.03, P<0.05), suggesting a very low possibility of prediction of the agronomic performance based on random SSR markers. The percentage of variability (measured by sum of squares) explained by the environment varied between 76.3 and 98.5% depending on the trait, while that explained by genotypes ranged between 0.4 and 12.6%, and that explained by the GE interaction ranged from 1.1 to 12.5%. The clustering of the accessions based on multivariate phenotypic data offered the best explanation of genotypic differences, accounting for 30.3% (for yield) to 75.1% (for kernel weight) of the observed variation. The genotype x environment interaction was best explained by the phenotypic univariate clustering procedure, which explained from 28.5% (for kernel weight) to 74.9% (for days to heading) of variation. The only accessions that clustered both in the genetic dissimilarities tree and the tree obtained using Euclidean distances based on standardized phenotypic data across environments were those closely related to the CIMMYT hallmark founder 'Altar 84', the ICARDA accessions adapted to continental-dryland areas, and the landraces, suggesting that genetic proximity corresponded to agronomic performance in only a few cases.Digital Object Identifier http://dx.doi.org/10.1016/j.fcr.2010.06.020
机译:在四个国家的九个不同环境中种植了代表地中海盆地遗传多样性的191种硬质小麦种质,产量为0.99至6.78 t ha -1 。使用从97个均匀分布的SSR标记获得的数据,种群育种结构包括八个遗传亚群(GSP)。评估表型结构:(i)从整个环境的六个农艺性状的平均值(多元),以及(ii)从代表每个环境的每个性状的数据(单变量)。从出苗到抽穗的平均每日最高温度显着( P <0.05),与产量呈负相关,占产量变化的59%。种质之间的遗传相似性与其整体农艺表现( r = 0.15, P <0.001),株高( r = 0.12, P <0.001),穗状花序长度( r = 0.06, P <0.01)和千粒重(< i> r = 0.03, P <0.05),表明根据随机SSR标记预测农艺性能的可能性非常低。环境所解释的变异性百分比(以平方和表示)在76.3%至98.5%之间变化,具体取决于性状,而基因型所解释的变异性在0.4至12.6%之间,GE相互作用所解释的变异性在1.1至12.5之间。 %。基于多元表型数据的种质聚类为基因型差异提供了最好的解释,占观察到的变异的30.3%(产量)至75.1%(谷粒重量)。表型单变量聚类程序最好地解释了基因型x环境的相互作用,该过程解释了从28.5%(对于谷粒重量)到74.9%(对于抽穗天数)的变异。遗传异质性树和使用基于环境的标准化表型数据使用欧几里德距离获得的树中唯一聚集的种质是与CIMMYT标志创建者'Altar 84',适应于大陆干旱地区的ICARDA种质紧密相关的种质,以及地方品种,这表明遗传接近仅在少数情况下与农艺表现相对应。数字对象标识符http://dx.doi.org/10.1016/j.fcr.2010.06.020

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