Assessment of phenotypic variability among EEA INTA Pergamino sunflower lines: Its relationship with the grain yield and oil content

OCL Pub Date : 2021-01-01 DOI:10.1051/OCL/2021021
Matias Dominguez, S. Herrera, Julio González
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引用次数: 3

Abstract

The aims of the present study were to assess the phenotypic diversity among 221 sunflower accessions of INTA Pergamino Sunflower Breeding Program, to obtain discriminant functions that allow the classification of new accessions in similar groups and to evaluate the relationship between genetic distance pairwise accessions and hybrid performance for grain yield and oil content. We used 19 quantitative descriptors to evaluate phenotypic and morphological variability. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were used to evaluate simultaneously all the variables and to describe phenotypic variation patterns of the germplasm. The distribution of germplasm in the dendrogram did not follow a clear pattern with regard to the predefined groups. This study revealed the variability observed among the lines that form the INTA Pergamino breeding program despite the highly selective forces applied to obtain inbred lines that produce superior hybrids for the Argentinean sunflower area. This work demonstrates the need for more in-depth study of genetic variability to be used as a predictor of heterosis in sunflower.
EEA INTA佩加米诺向日葵品系表型变异的评价及其与籽粒产量和含油量的关系
利用INTA培加米诺向日葵育种项目221份向日葵材料进行表型多样性分析,得到相似类群中新材料分类的判别函数,并对遗传距离、两两组合材料与籽粒产量和含油量的关系进行评价。我们使用了19个定量描述符来评估表型和形态变异。采用主成分分析(PCA)和层次聚类分析(HCA)同时评价所有变量,描述种质资源的表型变异模式。在树形图中,种质资源的分布与预先确定的类群没有明确的关系。这项研究揭示了INTA Pergamino育种计划中所观察到的品系之间的变异性,尽管在阿根廷向日葵地区使用了高度选择性的自交系来生产优质杂交种。这项工作表明需要对遗传变异进行更深入的研究,以作为向日葵杂种优势的预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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OCL
OCL
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