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      Estimation of genetic variation in yield, its contributing characters and capsaicin content of Capsicum chinense Jacq. (ghost pepper) germplasm from Northeast India

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          Abstract

          Capsicum chinense Jacq. (ghost pepper), a naturally occurring chili species of Northeast India is known throughout the world for its high pungency and a pleasant aroma. The economic importance is due to the high capsaicinoid levels, the main source for pharmaceutical industries. The present study focused on identifying important traits necessary for increasing the yield and pungency of ghost pepper and to determine the parameters for the selection of superior genotypes. A total of 120 genotypes with more than 1.2% capsaicin content (>1,92,000 Scoville Heat Unit, w/w on dry weight basis) collected from different northeast Indian regions were subjected to variability, divergence and correlation studies. Levene’s homogeneity test of variance studied for three environments did not show significant deviation and so homogeneity of variance was reasonably met for analysis of variance study. Genotypic and phenotypic coefficient of variation was highest for fruit yield per plant (33.702, 36.200, respectively), followed by number of fruits per plant (29.583, 33.014, respectively) and capsaicin content (25.283, 26.362, respectively). The trait number of fruits per plant had maximum direct contribution to fruit yield per plant and the trait fruit yield per plant towards capsaicin content in the correlation study. High heritability with high genetic advance, which is the most favored selection criteria was observed for fruit yield per plant, number of fruits per plant, capsaicin content, fruit length and fruit girth. The genetic divergence study partitioned the genotypes into 20 clusters, where fruit yield per plant contributed maximum towards total divergence. Principal components analysis (PCA) studied to determine the largest contributor of variation showed 73.48% of the total variability, of which the PC1 and PC2 contributed 34.59% and 16.81% respectively.

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          Estimates of Genetic and Environmental Variability in Soybeans1

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                22 June 2023
                2023
                : 11
                : e15521
                Affiliations
                [1 ]Department of Botany, Eastern Karbi Anglong College , Sarihajan, Assam, India
                [2 ]Agrotechnology and Rural Development Division, CSIR-North East Institute of Science and Technology , Jorhat, Assam, India
                [3 ]Advances Computation and Data Science Division, CSIR-North East Institute of Science and Technology , Jorhat, Assam, India
                Article
                15521
                10.7717/peerj.15521
                10290828
                37366425
                d8fd5cdf-8e96-49c1-afbb-abecf1f03ad2
                ©2023 Baruah et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 22 February 2023
                : 16 May 2023
                Funding
                Funded by: GBPNIHESD
                The work was funded by GBPNIHESD, Almora as an IERP project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Agricultural Science
                Genetics
                Plant Science

                capsicum chinense,genotypic coefficient of variation,phenotypic coefficient of variation,levene’s homogeneity test of variance,capsaicin

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