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pgr 2022, 9(1): 99-116 Back to browse issues page
Evaluation of Genetic Diversity for Phonological and Grain Yield-Related Traits of Sesame (Sesamum indicum L.) in the Dashtestan Region with Multivariate Statistical Methods
Davood Kiani * , Gholamreza Ghodrati , Sadollah Mansouri
Abstract:   (457 Views)
Sesame is an important crop plant for harsh environmental conditions because it is relatively resistance to drought stress. Evaluation of different genotypes in different climate condition plays a fundamental role in selection of the best genotypes before the commercial release of a variety and helping in identify plant traits that should be monitored during breeding experiments. In the present study, 10 promising lines obtained from the preliminary yield test were investigated to evaluate the yield compatibility along with 6 local cultivars in a randomized complete block design experiment with three replications in two cropping years (2018 and 2019) in Dashtestan climate condition in Bushehr province. During the growing season, phenology traits, grain yield components and grain yield were measured. Based on the results of ANOVA, statistically significant difference was observed between different genotypes for plant height, height of the first sub branch, height of the first capsule, number of sub branches, number of capsules per plant, length of capsule, length of capsule bearing zone, number of seeds in capsule and grain yield. Based on the mean comparison and biplot analysis the genotype 12 (Local Dashtestan), 2 (SES97-103), 7 (SES97-110) and 15 (Local Jiroft), were identified as superior genotypes for grain yield. Genotype 5 (SES97-105) and genotypes 14 (SES97-124) with 104.5 days and 4 (Local Darab1) with 111 showed the highest and lowest number of days to maturity, respectively. First capsule height showed the highest positive and significant phenotype (0.56) and genetic (0.78) correlation with grain yield. Days to the end of flowering and days to physiological maturity traits showed a negative genetic correlation with yield. Cluster analysis separated 16 sesame genotypes into four separate groups. Based on regression analysis, the height of the first capsule was identified as the most sensitive trait in predicting the yield of sesame genotypes in Dashtestan region in Bushehr province, which seems it can be considered during breeding programs.
Keywords: Cluster analysis, Oil seeds, Grain yield, Promising line
Full-Text [PDF 622 kb]   (164 Downloads)    
Type of Study: Research | Subject: Plant improvement
Accepted: 2022/09/7
* Corresponding Author Address: Crops and Horticultural Science Research Department, Bushehr Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Bushehr, Iran
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Kiani D, Ghodrati G, Mansouri S. Evaluation of Genetic Diversity for Phonological and Grain Yield-Related Traits of Sesame (Sesamum indicum L.) in the Dashtestan Region with Multivariate Statistical Methods. pgr 2022; 9 (1) :99-116
URL: http://pgr.lu.ac.ir/article-1-264-en.html

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Volume 9, Issue 1 (2022) Back to browse issues page
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