Principle component and cluster analysis for heat tolerance in tomato under open condition for yield and seed production
Downloads
Published
DOI:
https://doi.org/10.58993/ijh/2025.82.1.4Keywords:
Principle Component Analysis, cluster analysis, genotypes, heat tolerance.Issue
Section
License
Copyright (c) 2025 Varun B. H., Rajinder Singh, S.K. Jindal

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The nature and magnitude of genetic divergence of 76 genotypes of tomato under heat stress in open condition was estimated using R-Studio. The genotypes under the study showed considerable amount of diversity for all the traits. The first three components of Principle Component Analysis (PCA) explained the maximum variability present among the traits studied (40 percentage of total phenotypic variability). The PC1, PC2 and PC3 components were responsible for 16.63, 11.53 and 11.05% of phenotypic variability, respectively. Based on the diversity analysis the genotypes under investigation were divided into four diverse and genetically distinct clusters. Cluster-1 (50) and Cluster-4 (19) had majority of genotypes under them whereas Cluster-2 (2) and Cluster-3 (5) had smaller number of genotypes under them. The study concluded that the genotypes used had considerable amount of phenotypic-variability for heat tolerance under open condition for yield as well as seed production. The traits such as yield per plant, seed yield per plant, number of fruits per plant, titratable acidity, and plant-height contributed a major portion to the phenotypic-variability among all the traits in this study for heat-tolerance.Abstract
How to Cite
Downloads
Similar Articles
- R.K. Patel, Akath Singh, Jai Prakash, Amit Nath, Bidyut C. Deka, Physico-biochemical changes during fruit growth, development and maturity in passion fruit genotypes , Indian Journal of Horticulture: Vol. 71 No. 4 (2014): Indian Journal of Horticulture
- Chander Parkash, Inheritance of quantitative characters in knol khol , Indian Journal of Horticulture: Vol. 68 No. 02 (2011): Indian Journal of Horticulture
- K.A. Mir, A.S. Dhatt, J.S. Sandhu, A.S. Sidhu, Effect of genotype, explant and culture medium on organogenesis in brinjal , Indian Journal of Horticulture: Vol. 68 No. 03 (2011): Indian Journal of Horticulture
- Manorama K., Govindakrishnan P., S.S. Lal, Evaluation of potato cultivars for phosphorus efficiency under Nilgiris conditions , Indian Journal of Horticulture: Vol. 74 No. 03 (2017): Indian Journal of Horticulture
- Resmi Paul, M.R. Shylaja, Preliminary screening of in vitro raised ginger regenerants to soft rot and bacterial wilt diseases using electrolyte leakage method , Indian Journal of Horticulture: Vol. 71 No. 01 (2014): Indian Journal of Horticulture
- R. Arya, O.P. Awasthi, Jitendra Singh, I.S. Singh, J.R. Manmohan, Performance of component crops in tree-crop farming system under arid region , Indian Journal of Horticulture: Vol. 68 No. 01 (2011): Indian Journal of Horticulture
- Kassahun Tsega, Akhilesh Tiwari, Kebede Woldetsadik, Genetic variability, correlation and path coefficient among bulb yield and yield traits in Ethiopian garlic germplasm , Indian Journal of Horticulture: Vol. 67 No. 04 (2010): Indian Journal of Horticulture
- I.S. Singh, O.P. Awasthi, A. Nagaraja, A. Nagaraja, Effect of manuring and mulches on irrigated arid brinjal in Western India , Indian Journal of Horticulture: Vol. 70 No. 2 (2013): Indian Journal of Horticulture
- Dechin Droka, Raj Kumar, Subodh Joshi, R.K. Yadav, Genetics of yield and yield contributing traits in tomato under low temperature grown climatic regime , Indian Journal of Horticulture: Vol. 70 No. 2 (2013): Indian Journal of Horticulture
- D.T. Meshram, S.D. Gorantiwar, N.V. Singh, S.S. Suroshe, Non-destructive leaf area estimation in pomegranate cv. Bhagwa , Indian Journal of Horticulture: Vol. 69 No. 02 (2012): Indian Journal of Horticulture
<< < 30 31 32 33 34 35 36 37 38 39 > >>
You may also start an advanced similarity search for this article.