Volume 13, Issue 37 (4-2021)                   jcb 2021, 13(37): 119-131 | Back to browse issues page


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Moradi S, Saba J, Tavakoli A, Afsahi K. (2021). Screen of Native Lentil Lines Yield under Dryland Conditions using GGE Biplot Method. jcb. 13(37), 119-131. doi:10.52547/jcb.13.37.119
URL: http://jcb.sanru.ac.ir/article-1-1172-en.html
Zanjan, Zanjan University, Faculty of Agriculture, Department of Genetics and Plant Production
Abstract:   (2110 Views)
     The most important goal in all crop breeding programs is to increase yield, and yield improvement requires the use of efficient statistical methods to identify superior genotypes. In determining the superiority of genotype, in addition to high yield, yield stability in different environments must also be considered.Biplot analyses are good tools for selecting superior genotypes and to increase efficiency in selection. In this study, GGE biplot method was used to evaluate the stability of grain yield of 205 lines and lentil cultivar in augmented design during three cropping years in the Faculty of Agriculture of Zanjan University under rainfed conditions. The results of combined analysis of control cultivars showed that the effect of year and year × cultivars interaction were significant for grain yield. Thus, the lines were examined using GGE biplot graphic method. The results showed that the first component and second component explained 68.3 and 28.5 percent (in total 96.8 percent) of total variation respectively, which indicates the high validity of the bipod in the explain. The results also showed that lines 170 and 164 were the best lines in the first year and lines 157 and 183 were the best lines in the third year. Line 167, in addition to having high yield, had lower stable yield. This line was placed in the center of the circle as the ideal line and the lines 164, 170, 147, 122 and 7 were placed in the next ranks. Lines 147, 128, 7, 160, 51, 148, 156 and 160, in addition to having higher yield than the average, had a short distance from the stability axis and had low unstable yield. Lines 8, 57, 157, 86, 186, 83, 140, 164 and 170, despite having high performance, had high unstable yield. Biplat polygonal analysis led to the identification of two mega-environments, among which the first year had the most discriminating ability among the years. Existence of 90º angle between the first and second year showed no correlation between these two years and their conditions were different and greater than 90º angle of the second year with these years showed its negative correlation with the first and second year.
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Type of Study: Research | Subject: اصلاح نباتات، بیومتری
Received: 2020/10/7 | Revised: 2021/06/1 | Accepted: 2020/12/22 | Published: 2021/06/1

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