Studies on Correlation and Path Analysis in Segregating Population of Mangalore Melon (Cucucmis melo var. acidulus) Derived from the Inter-Varietal  Cross MS 78 x RNMS-1

H. M. Sowmya; D. Satish; Ratnakar M. Shet; H. B. Patil; H. Amarananjundeshwara; G. Raghavendra; Y. S. Mahesh

doi:10.9734/ijecc/2023/v13i82063

Research Article Open access CC BY 4.0

Studies on Correlation and Path Analysis in Segregating Population of Mangalore Melon (Cucucmis melo var. acidulus) Derived from the Inter-Varietal Cross MS 78 x RNMS-1

H. M. Sowmya, D. Satish, Ratnakar M. Shet, H. B. Patil, H. Amarananjundeshwara, G. Raghavendra, Y. S. Mahesh

International Journal of Environment and Climate Change · pp. 1225–1231 · Published 9 Jun 2023

10.9734/ijecc/2023/v13i82063

Abstract

Correlation and path coefficients analysis can help to assess the mutual relationship between various plant characters and determines component characters on which selection can be based or improvement in yield. 260 Mangalore melon vines were evaluated for yield contributing characters to observe their associations, direct and indirect effect on fruit yield per vine at College of Horticulture, Bagalkot during summer 2021-2022. The study revealed that fruit yield per plant had significant positive correlation number of female flowers, fruit length, fruit width, number of fruits per vine, fruit weight, flesh thickness, seed cavity width and seed cavity length which are important characters to be accounted for gaining improvement in yield. Path analysis revealed that fruit weight exhibited highest positive direct effect on fruit yield per vine followed by flesh thickness, number of fruits per vine, seed cavity length and so on.

F2 generation correlation path analysis

References (9)

1 Origin, distribution and systematics of culinary cucumber (Cucumis melo subsp. agrestis var. conomon) [DOI]
2 Statistical techniques in quantitative genetics
3 Correlation and Path Coefficient Analysis in Muskmelon (Cucumis Melo L.) [DOI]
4 Genetic variability and correlation studies for productivity traits in cucumber (Cucumis sativus L.)
5 Heritability estimates, correlation and path coefficient analysis for fruit yield in walnut (Juglans regia L.)
6 Evaluation of Oriental Pickling Melon (Cucumis melo L. Var. conomon) Genotypes for Pest and Disease Reaction under Northern Dry Zone of Karnataka [DOI]
7 Genetic variability, correlation studies and path coefficient analysis in bitter gourd (Momordica charantia L.)
8 Morphological and molecular diversity analysis in bitter gourd [DOI]
9 Vegetables I: Asteraceae, Brassicaceae, Chenopodicaceae, and Cucurbitaceae [DOI]

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H. M. Sowmya, D. Satish, Ratnakar M. Shet, H. B. Patil, H. Amarananjundeshwara, G. Raghavendra, Y. S. Mahesh (2023). Studies on Correlation and Path Analysis in Segregating Population of Mangalore Melon (Cucucmis melo var. acidulus) Derived from the Inter-Varietal Cross MS 78 x RNMS-1. International Journal of Environment and Climate Change , 1225–1231. https://doi.org/10.9734/ijecc/2023/v13i82063

Affiliations

H. M. Sowmya — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
D. Satish — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
Ratnakar M. Shet — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
H. B. Patil — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
H. Amarananjundeshwara — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
G. Raghavendra — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.
Y. S. Mahesh — Department of Biotechnology and Crop Improvement, College of Horticulture, University of Horticultural Sciences, Bagalkot-587104, Karnataka, India.

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