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Research Article Open access CC BY 4.0

Assessment of Genetic Diversity and Identification of Superior Donors for Higher Yield, Nutritional and Processing Traits in Tomato through Hierarchical Clustering Analysis

Jitendra Rajak, R. K. Sharma, Jyothsna J, Ajay Bhardwaj, Anand Kumar, Ankit Kumar Sinha, Kumari Sweta Rani, Sudhanshu Verma, Vinay Kumar

Journal of Advances in Biology & Biotechnology · pp. 1411–1419 · Published 14 Aug 2024

10.9734/jabb/2024/v27i81264

Abstract

The present investigation was carried out in the Department of Horticulture, BAC, BAU, Sabour, Bihar, with 22 diverse genotypes of tomato germplasms collected from diverse locations and sources. The 22 genotypes were assessed for their phonological, morphological, yield, nutritional and processing quality attributes. The hierarchical clustering analysis based on the Euclidean distance and Ward’s method were applied on these genotypes separately based on two segments namely the morphological and yield attributes; and the nutritional and processing quality attributes, aimed to find superior genotypes from both segments. Further, through the same analysis, the genetic diversity among the 22 genotypes for these traits were also established. Additionally, the association among the plant traits are also partly reported with a heatmap visualization. Our findings suggest that the genotypes 2019/TODVAR-4, 2019/TODVAR-5, 2019/TODVAR-2, 2019/TODVAR-7, and 2019/TOLOCVRES-4 exhibit superior processing quality attributes, compared to the check cultivar Kashi Chayan. In particular, genotypes with higher yields coupled with favorable nutritional and processing qualities significantly enhance the success of breeding programs. Notably, genotype 2019/TODVAR-4 has been identified as particularly suitable for developing cultivars with excellent processing qualities.

Tomato genetic diversity nutritional and processing quality identification of superior genotypes hierarchical clustering

References (21)

  1. 1 Characterization of Carotenoids in Juice of Red Navel Orange (Cara Cara) [DOI]
  2. 2 Exploiting the diversity of tomato: the development of a phenotypically and genetically detailed germplasm collection [DOI]
  3. 3 Are Processed Tomato Products as Nutritious as Fresh Tomatoes? Scoping Review on the Effects of Industrial Processing on Nutrients and Bioactive Compounds in Tomatoes [DOI]
  4. 4 Improving production and fruit quality of tomato under abiotic stress: Genes for the future of tomato breeding for a sustainable agriculture [DOI]
  5. 5 Genetic Diversity Analysis of Tomato (Solanum lycopersicum L.) with Morphological, Cytological, and Molecular Markers under Heat Stress [DOI]
  6. 6 Statistical Tables for Biological, Agricultural and Medical Research. [DOI]
  7. 7 Tomato Phenotypic Diversity Determined by Combined Approaches of Conventional and High-Throughput Tomato Analyzer Phenotyping [DOI]
  8. 8 Genetic diversity and population structure assessment of Iraqi tomato accessions using fruit characteristics and molecular markers [DOI]
  9. 9 Genetic Associations Analysis for Fruit Yield and Its Contributing Traits of Indeterminate Tomato (Solanum lycopersicum L.) Germplasm under Open Field Condition [DOI]
  10. 10 Morphological Diversity, Genetic Characterization, and Phytochemical Assessment of the Cypriot Tomato Germplasm [DOI]
  11. 11 European traditional tomatoes galore: a result of farmers’ selection of a few diversity-rich loci [DOI]
  12. 12 Diversity of tomato leaf form provides novel insights into breeding [DOI]
  13. 13 Phenotyping of a diverse tomato collection for postharvest shelf-life [DOI]
  14. 14 Characterization of Lithuanian Tomato Varieties and Hybrids Using Phenotypic Traits and Molecular Markers [DOI]
  15. 15 Genetic Variability and Association of Characters in Tomato (Solanum lcopersicon L.) Genotypes in Northern Ethiopia [DOI]
  16. 16 Genetic Diversity Studies in Tomato (Solanum lycopersicum L.) Under Protected Conditions [DOI]
  17. 17 Variability and correlation studies in different varieties of tomato (Lycopersicon esculentum Mill.)
  18. 18 Genetic variability in tomato (Lycopersicon esculentum Mill.) genotypes
  19. 19 Correlation and path analysis for fruit traits in tomato (Lycopersicon esculentum Mill.).
  20. 20 Official Methods of Analysis [DOI]
  21. 21 STUDIES ON GENETIC DIVERGENCE IN TOMATO (Lycopersicon esculentum Mill.)

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