Genetic diversity study of bacterial wilt-tolerant bell pepper (Capsicum annuum) genotypes using cluster and principal component analysis


820 / 807 / 172

Authors

  • ANURADHA Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh 176 062, India image/svg+xml
  • SONIA SOOD Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh 176 062, India image/svg+xml
  • MANDEEP REDHU CCS Haryana Agricultural University, Hisar, Haryana image/svg+xml
  • RAJVINDER SINGH CCS Haryana Agricultural University, Hisar, Haryana image/svg+xml
  • NAVEEN KUMAR Maharana Pratap Horticultural University, Karnal, Haryana
  • ATUL LOYAL CCS Haryana Agricultural University, Hisar, Haryana image/svg+xml

https://doi.org/10.56093/ijas.v94i10.150819

Keywords:

Bell pepper, Cluster, PCA, Quality traits, Yield

Abstract

The present study was carried out during summer and rainy (kharif) seasons of 2019 and 2020 at the research farm of Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh to study the genetic diversity among 43 bacterial wilt tolerant genotypes of bell pepper (Capsicum annuum L. var. grossum Sendt), focusing on 12 quantitative and 3 qualitative traits along with disease resistance. The experiment was laid out in a randomized complete block design (RCBD) with 3 replications. Following hierarchical cluster analysis, the 43 unique genotypes were categorized into 5 separate clusters. Cluster I consisted of maximum number of genotypes (39), followed by clusters II, III, IV and V, each having only one genotype. The greatest inter-cluster distance was observed between cluster II and V (3090.70), while the smallest distance was noted between cluster II and III (1299.21). Cluster I displayed the greatest intra-cluster distance (803.75), while clusters II, III, IV and V showed the lowest distances (0.00). The primary contributors to genetic divergence were found to be capsanthin content (23.4%), followed by ascorbic acid (21.4%), fruit length (12.5%), plant survival (11.1%) and marketable fruit yield/plant (10.9%). Principal component analysis indicated that the initial six principal components, each possessing an eigen value surpassing one, jointly accounted for 70.62% of the total observed variability. PCA biplot revealed that, the traits namely, marketable fruits/plant, average fruit weight, harvest duration and plant height were the major yield contributing traits. The results underscored the importance of genetic characterization and the selection of diverse genotypes for hybridization, facilitating the development of improved bell pepper cultivars with enhanced productivity and quality.

Downloads

Download data is not yet available.

References

Anonymous. 2021. Indian Horticulture Database. National Horticulture Board, Ministry of Agriculture and Farmers Welfare, Government of India, Gurugram, Haryana, India.

AOAC. 1980. Official Methods of Analysis of the Association of Official Analytical Chemists. William Horwitz (Ed). Benjamin Franklin Station, Washington DC.

Devi J and Sood S. 2018. Genetic study of horticultural traits in bell pepper (Capsicum annuum var. grossum) through generation mean analysis. Agricultural Research 7: 112–19. DOI: https://doi.org/10.1007/s40003-018-0298-6

Devi J, Sagar V, Kaswan V, Ranjan J K, Kumar R, Mishra G P, Dubey R K and Verma R K. 2021. Advances in breeding strategies of bell pepper (Capsicum annuum var. grossum Sendt.). Advances in Plant Breeding Strategies: Vegetable Crops, pp. 4–58. Al-Khayri J M, Jain S M and Johnson D V (Eds). Springer, Cham, Schweiz. DOI: https://doi.org/10.1007/978-3-030-66961-4_1

Devi J, Sood S and Vidyasagar S Y. 2015. Inheritance of bacterial wilt resistance and performance of horticultural traits in bell pepper (Capsicum annuum var. grossum). The Indian Journal of Agriultural Sciences 85: 126–31. DOI: https://doi.org/10.56093/ijas.v85i11.53759

Dhillon H K, Sood S, Sood V K and Chahota R K. 2022. Hayman’s diallel analysis to study genetic parameters of F1 generation of some bacterial wilt resistant intra-specific hybrids of bell pepper (Capsicum annuum L. var. grossum) under north-western Himalayan conditions of India. Vegetos 35(4): 1150–57. DOI: https://doi.org/10.1007/s42535-022-00389-0

Farhad M, Hasanuzzaman M, Biswas B K, Arifuzzaman M and Islam M M. 2010. Genetic divergence in chilli (Capsicum annuum L.). Bangladesh Research Publications Journal 3: 1045–51.

Hasan R, Huque A M, Hossain M K and Alam N. 2015. Assessment of genetic divergence in chilli (Capsicum annuum L.) genotypes. Plant Gene and Trait 6.

Janaki M, Ramana C V, Naidu L and Rao M P. 2015. Assessment of genetic divergence through multivariate analysis in chilli (Capsicum annuum L.). Electronic Journal of Plant Breeding 6(4): 981–91.

Jeffers J N R. 1967. Two case studies in the application of principal component analysis. Journal of the Royal Statistical Society Series C (Applied Statistics) 16: 225–36. DOI: https://doi.org/10.2307/2985919

Kumar N, Singh P K, Vaishampayan A, Saini R, Ram M, Singh A and Singh N K. 2014. Genetic divergence analysis in rice under irrigated conditions. Indian Journal of Plant Genetic Resources 27(3): 246–50. DOI: https://doi.org/10.5958/0976-1926.2014.00021.7

Mahalanobis P C. 1936. On the generalized distance in statistics. Proceedings of the National Institute of Science of India 2: 49–55.

Misra S, Lal R K, Darokar M P and Khanuja S P S. 2011. Genetic variability in germplasm accessions of Capsicum annuum L. American Journal of Plant Sciences 2: 629–35. DOI: https://doi.org/10.4236/ajps.2011.25074

Rahevar P M, Patel J N, Axatjoshi S and Gediya L N. 2021. Genetic diversity study in chilli (Capsicum annuum L.) using multivariate approaches. Electronic Journal of Plant Breeding 12(2): 314–24. DOI: https://doi.org/10.37992/2021.1202.047

Rana M, Sharma R, Sharma P, Bhardwaj S V, Kumar S, Brar S N, Sharma M and Dogra R. 2015. Studies on genetic variability and divergence in capsicum for fruit yield and quality traits in north-western Himalayas. Ecology, Environment and Conservation 21: 429–35.

Ranganna S. 1977. Manual of Analysis of Fruits and Vegetables Products, pp. 634. Tata Mc Graw Hill Book Company, New Delhi.

Rao C R. 1952. Advanced Statistical Methods in Biometric Research, pp. 45–110. John Wiley and Sons, New York, USA.

Razzaq A, Khan T M, Saeed A, Kamaran S and Zeb A. 2016. Genetic diversity and association analysis for different morphological traits in Capsicum annuum. International Journal of Biomolecules and Biomedicine 5(1): 20–28.

Singh R K and Chaudhary B D. 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publication, New Delhi.

Submitted

2024-04-22

Published

2024-10-11

Issue

Section

Articles

How to Cite

ANURADHA, SOOD, S. ., REDHU, M. ., SINGH, R. ., KUMAR, N. ., & LOYAL, A. . (2024). Genetic diversity study of bacterial wilt-tolerant bell pepper (Capsicum annuum) genotypes using cluster and principal component analysis. The Indian Journal of Agricultural Sciences, 94(10), 1045–1050. https://doi.org/10.56093/ijas.v94i10.150819
Citation