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Determining Selection Criteria to Identify High Yielding in The Mutant Chili Genotypes (Capsicum annuum L.) a) Departement of Agrotechnology , Faculty of Agriculture, UPN Veteran Yogyakarta Abstract The performance of production and breeding mainly depends on the interrelationships among phenotypic traits. Correlation, multiple linear regression, stepwise regression, and path analysis were executed to investigate the relationships between yield components in chilli. The study was aimed to identify the phenotypic traits that recommended as selection criteria for improving production in putative chili mutants. The study was conducted using an augmented design with 8 replications. The experimental material consisted of 81 mutant genotypes and 3 controls. Fruit weight per plant was positively and significantly correlated with plant height, dichotomous height, stem diameter, leaf length, leaf width, fruit weight, fruit length, fruit diameter, fruit flesh thickness, and number of fruits per plant. Multiple linear regression revealed that fruit weight and number of fruits per plant contributed significantly. Stepwise regression analysis showed that phenotypic traits that have a significant effect on fruit weight per plant were plant height, dichotomous height, leaf length, fruit weight, and number of fruits per plant. The phenotypic traits that have the largest direct effect on fruit weight per plant were the number of fruits per plant and leaf length. According to these results number of fruits per plant and leaf length are recommended as selection criteria for improving putative chili mutant yield and play a critical role in the selection of chili breeding programs. Keywords: correlation- direct effect- path analysis- stepwise regression Topic: Agriculture |
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