Evaluation of genetic divergence in radish (Raphanus Sativus L.) Germplasm using multivariate approaches in north-western Himalayas

The present study was conducted to evaluate genetic divergence among 18 radish (Raphanus sativus L.) genotypes. High heritability was recorded for ascorbic acid, days to 50% germination, and root diameter. Correlation analysis revealed a positive association between root yield and traits such as root weight, root length, and plant height, while path analysis identified root weight, root diameter, and leaf traits as key yield contributors. Principal Component Analysis (PCA) revealed that the first two principal components explained a major portion of total variability, with PC1 strongly associated with yield traits and the first five principal components (PCs) explain 80.9% of the total variance, and PC1 contributing the most (31.3%). Hierarchical clustering grouped genotypes into distinct clusters, indicating diverse genetic backgrounds and potential for targeted breeding. These findings provide valuable insights for selecting superior genotypes to enhance radish breeding and production across diverse agro-climatic conditions. Bangladesh J. Bot. 54(3): 491-497, 2025 (September)

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Publication Details

Journal
Bangladesh Journal of Botany
Published
2025-09-29
DOI
https://doi.org/10.3329/bjb.v25i3.82315
Primary Topic
Genetics and Plant Breeding
Type
article
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article

Evaluation of genetic divergence in radish (Raphanus Sativus L.) Germplasm using multivariate approaches in north-western Himalayas

Shiv P. Singh, Monika Singh, Nikhil Thakur, Jasdeep Kaur
Bangladesh Journal of Botany
Genetics and Plant Breeding
article

Evaluation of genetic divergence in radish (Raphanus Sativus L.) Germplasm using multivariate approaches in north-western Himalayas

Shiv P. Singh, Monika Singh, Nikhil Thakur, Jasdeep Kaur
article en

Abstract

The present study was conducted to evaluate genetic divergence among 18 radish (Raphanus sativus L.) genotypes. High heritability was recorded for ascorbic acid, days to 50% germination, and root diameter. Correlation analysis revealed a positive association between root yield and traits such as root weight, root length, and plant height, while path analysis identified root weight, root diameter, and leaf traits as key yield contributors. Principal Component Analysis (PCA) revealed that the first two principal components explained a major portion of total variability, with PC1 strongly associated with yield traits and the first five principal components (PCs) explain 80.9% of the total variance, and PC1 contributing the most (31.3%). Hierarchical clustering grouped genotypes into distinct clusters, indicating diverse genetic backgrounds and potential for targeted breeding. These findings provide valuable insights for selecting superior genotypes to enhance radish breeding and production across diverse agro-climatic conditions. Bangladesh J. Bot. 54(3): 491-497, 2025 (September)

Bangladesh Journal of BotanyVol. 54(3)
Dr. Yashwant Singh Parmar University of Horticulture and Forestry (IN), Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya (IN)
Openalex Percentile: Top 80%
Genetics and Plant Breeding
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