Estimate of Genotypic and Phenotypic Correlation and Path Coefficients in Chilli (Capsicum annuum L.)

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dc.contributor.authorSingh, DBen_US
dc.contributor.authorYadav, GCen_US
dc.contributor.authorSingh, NKen_US
dc.contributor.authorKumar, Ren_US
dc.contributor.authorPrashanten_US
dc.date.accessioned2024-09-24T08:02:30Z
dc.date.available2024-09-24T08:02:30Z
dc.date.issued2023-12
dc.description.abstractThe significant positive correlation of phenotypic and genotypic performance as well as path correlation of crops helps in selection of the superior cultivars. Based upon important significance of these estimates, it was applied in our research. For this an experiment was conducted on different genotypes of chilli during winter season of 2021-22, with the aim of estimate correlation coefficient among the growth and yield traits and elucidate the direct and indirect effect of different traits on yield through path coefficient analysis. The experimental material for the study consisted of 40 genotypes including one check (Kashi Anmol), laid in Randomized Complete Block Design with three replications. Observations were recorded on thirteen quantitative characters. The most important trait fruit yield per plant had exhibited highly significant and positive phenotypic correlation with average fruit weight (0.925), no. of fruits per plant (0.595) and fruit circumference (0.464). Path coefficient analysis revealed that average fruit weight (0.835) and no. of fruit per plant (0.385) were identified as most important traits which had positive direct on fruit yield per plant. The higher magnitude of negative direct effect on fruit yield per plant was exerted by fruit circumference (-0.018) followed by secondary branches per plant (-0.011). While maximum positive indirect effect on total fruit yield per plant shown by fruit circumference (0.448), followed by no. of fruit per plant (0.216). while negative indirect effect shown by secondary branches per plant (-0.143) followed by plant height (-0.127) and days to mature red ripe stage (-0.124). Thus, it can be inferred from the data above that selecting for these qualities will effectively enhance the crop for increased production and contributing traits.en_US
dc.identifier.affiliationsDepartment of Vegetable Science, Acharya Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Ayodhya, 224229, Uttar Pradesh, Indiaen_US
dc.identifier.affiliationsDepartment of Horticulture, Babasaheb Bhimrao Ambedkar University (A central University), Lucknow, 226025, Uttar Pradesh, Indiaen_US
dc.identifier.affiliationsDepartment of Vegetable Science, Acharya Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Ayodhya, 224229, Uttar Pradesh, Indiaen_US
dc.identifier.affiliationsDepartment of Vegetable Science, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, 250110, Uttar Pradesh, Indiaen_US
dc.identifier.affiliationsDepartment of Vegetable Science, Acharya Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Ayodhya, 224229, Uttar Pradesh, Indiaen_US
dc.identifier.citationSingh DB, Yadav GC, Singh NK, Kumar R, Prashant. Estimate of Genotypic and Phenotypic Correlation and Path Coefficients in Chilli (Capsicum annuum L.) . International Journal of Environment and Climate Change. 2023 Dec; 13(6): 783-792en_US
dc.identifier.issn2581-8627
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/230902
dc.languageenen_US
dc.publisherMs. M. B. Mondalen_US
dc.relation.issuenumber6en_US
dc.relation.volume13en_US
dc.source.urihttps://doi.org/10.9734/ijecc/2023/v13i123741en_US
dc.subjectChilli (Capsicum annuum L.) correlation genotypicen_US
dc.subjectphenotypicen_US
dc.subjectpath coefficienten_US
dc.subjectquantitative traiten_US
dc.titleEstimate of Genotypic and Phenotypic Correlation and Path Coefficients in Chilli (Capsicum annuum L.)en_US
dc.typeJournal Articleen_US
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