Study of genetic diversity of chilli germplasm conserved in bangladesh through multivariate analysis

Objective: This research work has been aimed to reveal genetic diversity in morphological traits. It is also important for genotype selection for breeding purpose, even in evaluation and conservation of their diverse gene pool. Method: Genetic variation was evaluated in Eighty-two chilli (Capsicum spp.) genotypes for fifteen morphological traits through descriptive statistics, PCA, and cluster analysis. 3.1. Mapping of locations and germplasm distribution using DIVA-GIS computer program. Result: DIVA-GIS computer program has localized accessions into 10 districts (administrative units). The descriptive statistics revealed substantial variations in the traits yield plant-1, number of fruit plant-1, individual fruit weight, days to 50% flowering, days to 50% fruiting, fruit width, and 1000 seed weight. Multivariate analysis grouped the collection into 5 clusters. Inter-cluster distance between clusters III and IV was found to be maximum followed by between clusters I- III and III -V. Cluster III possessed genotypes having maximum yield, earliness, and dwarf plant stature. Conclusion: Considering group distance, mean performance, and variability the inter-genotypic crosses between Cluster III and Cluster IV, Cluster I and Cluster III, and Cluster III cluster V may be suggested to use for future hybridization programs.

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Publication Details

Journal
GSC Biological and Pharmaceutical Sciences
Published
2024-09-04
DOI
https://doi.org/10.30574/gscbps.2024.28.3.0141
Primary Topic
Agricultural Practices and Plant Genetics
Type
article
Field-Weighted Citation Impact
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article

Study of genetic diversity of chilli germplasm conserved in bangladesh through multivariate analysis

Md. Rezwan Molla, Sreekanth Attaluri, Quazi Maruf Ahmed, Sajia Rahman et al.
GSC Biological and Pharmaceutical Sciences
Agricultural Practices and Plant Genetics
article

Study of genetic diversity of chilli germplasm conserved in bangladesh through multivariate analysis

Md. Rezwan Molla, Sreekanth Attaluri, Quazi Maruf Ahmed, Sajia Rahman, Md. Nazirul Islam, Ifterkhar Ahmed
article en

Abstract

Objective: This research work has been aimed to reveal genetic diversity in morphological traits. It is also important for genotype selection for breeding purpose, even in evaluation and conservation of their diverse gene pool. Method: Genetic variation was evaluated in Eighty-two chilli (Capsicum spp.) genotypes for fifteen morphological traits through descriptive statistics, PCA, and cluster analysis. 3.1. Mapping of locations and germplasm distribution using DIVA-GIS computer program. Result: DIVA-GIS computer program has localized accessions into 10 districts (administrative units). The descriptive statistics revealed substantial variations in the traits yield plant-1, number of fruit plant-1, individual fruit weight, days to 50% flowering, days to 50% fruiting, fruit width, and 1000 seed weight. Multivariate analysis grouped the collection into 5 clusters. Inter-cluster distance between clusters III and IV was found to be maximum followed by between clusters I- III and III -V. Cluster III possessed genotypes having maximum yield, earliness, and dwarf plant stature. Conclusion: Considering group distance, mean performance, and variability the inter-genotypic crosses between Cluster III and Cluster IV, Cluster I and Cluster III, and Cluster III cluster V may be suggested to use for future hybridization programs.

GSC Biological and Pharmaceutical SciencesVol. 28(3)
Life in Land
Openalex Percentile: Top 92%
Agricultural Practices and Plant Genetics
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