Selection of drought-tolerant and drought-sensitive lines (Glycine max) using PCA

Subject Areas : Genetics

Mohammad Hassanvand ¹ , Mahdi Changizi ² , Shahab Khaghani ³ , Masoud Gomarian ⁴ , Ezatollah Sedaghatfar ⁵

1 - Department of Genetic and Plant Breeding, Arak Branch Islamic Azad University, Arak, Iran
2 - Professor assistant of genetics and plant breeding, Arak Branch, Islamic Azad University, Arak, Iran
3 - Department of Genetic and Plant Breeding, Arak Branch Islamic Azad University, Arak, Iran
4 - Department of Plant Protection Arak Branch, Islamic Azad University, Arak, Iran
5 - Department of Plant Protection Arak Branch, Islamic Azad University, Arak, Iran

Received: 2021-05-06 Accepted : 2021-05-06 Published : 2022-06-01

Keywords: PCA, stepwise regression, selection, soybean, Glycine max,

Abstract :

In a study to select sensitive and tolerant soybean lines to drought-stress and selection of superior genotypes, 80 soybean lines obtained from crosses of Karbin×Fora cultivars immediately with control (cultivar L.17) in crop rotation 2016-2017 In the Lurestan-Saraab research farm sit, they were evaluated in the form of a Lattice design 9×9 with two replications. The results of the analysis of variance showed significant differences between the control line and other lines there was a significant difference between the blocks for different traits. According to the results of stepwise regression and PCA traits were grouped into four components, accounting for about 62% of the total variation. The evaluation of grain yield potential and accurate evaluation with PCA of traits led to the selection of lines superior lines in the experiment. The results of this study showed that plant height, number of pods per plant, number of seeds per pod, and 100- seed weight can be used as criteria for selection to improve seed yield in drought-stress condition soybeans.

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