Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties

In the selection phase of melon breeding programs, genetic variability is a critical component for yield improvement. The goals of this study were to discover the variables that affect melon fruit weight and examine genetic variability, correlation, and path analysis of eight melon varieties. The ex...

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Main Authors: Thanet Khomphet, Warin Intana, Athakorn Promwee, Shams Shaila Islam
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Agronomy
Online Access:http://dx.doi.org/10.1155/2022/7877239
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author Thanet Khomphet
Warin Intana
Athakorn Promwee
Shams Shaila Islam
author_facet Thanet Khomphet
Warin Intana
Athakorn Promwee
Shams Shaila Islam
author_sort Thanet Khomphet
collection DOAJ
description In the selection phase of melon breeding programs, genetic variability is a critical component for yield improvement. The goals of this study were to discover the variables that affect melon fruit weight and examine genetic variability, correlation, and path analysis of eight melon varieties. The experiment was arranged as a completely randomized block design with 4 blocks. It was conducted between July and September 2021 at the School of Agricultural Technology, Walailak University, Nakhon Si Thammarat, Thailand. The result found that stem diameter and length, leaf length, width, number, and chlorophyll, day to 50% male and female flowering, and fruit perimeter, height, and weight were highly significant across the varieties. The genotypic coefficients of variation (GCV) of observed variables were all lower than phenotypic coefficients of variation (PCV). Fruit weight (15.462 and 19.865%) had the highest GCV and PCV. High broad-sense heritability was linked to high (H) or moderate (M) genetic advance as a percentage of the mean from stem length (67.606%: H and 21.992%: H), fruit weight (60.586%: H and 24.793%: H), fruit perimeter (76.395%: H and 12.258%: M), and fruit height (69.828%: H and 12.122%: M). The maximum and significant genotypic correlation value was obtained between leaf length and leaf width (r = 1.000). Fruit weight is positively correlated with fruit perimeter (r = 0.940) and fruit height (r = 0.831). According to correlation and path analyses, stem diameter and length, leaf chlorophyll, and fruit perimeter and height were considered variables for fruit weight improvement in the breeding programs. It suggests that the increase in traits with a favorable direct influence on fruit weight may directly contribute to fruit weight.
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spelling doaj-art-3df7f3bc40554e9a841b96d4d34ae8022025-08-20T03:55:40ZengWileyInternational Journal of Agronomy1687-81672022-01-01202210.1155/2022/7877239Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon VarietiesThanet Khomphet0Warin Intana1Athakorn Promwee2Shams Shaila Islam3School of Agricultural Technology and Food IndustrySchool of Agricultural Technology and Food IndustrySchool of Agricultural Technology and Food IndustryDepartment of AgronomyIn the selection phase of melon breeding programs, genetic variability is a critical component for yield improvement. The goals of this study were to discover the variables that affect melon fruit weight and examine genetic variability, correlation, and path analysis of eight melon varieties. The experiment was arranged as a completely randomized block design with 4 blocks. It was conducted between July and September 2021 at the School of Agricultural Technology, Walailak University, Nakhon Si Thammarat, Thailand. The result found that stem diameter and length, leaf length, width, number, and chlorophyll, day to 50% male and female flowering, and fruit perimeter, height, and weight were highly significant across the varieties. The genotypic coefficients of variation (GCV) of observed variables were all lower than phenotypic coefficients of variation (PCV). Fruit weight (15.462 and 19.865%) had the highest GCV and PCV. High broad-sense heritability was linked to high (H) or moderate (M) genetic advance as a percentage of the mean from stem length (67.606%: H and 21.992%: H), fruit weight (60.586%: H and 24.793%: H), fruit perimeter (76.395%: H and 12.258%: M), and fruit height (69.828%: H and 12.122%: M). The maximum and significant genotypic correlation value was obtained between leaf length and leaf width (r = 1.000). Fruit weight is positively correlated with fruit perimeter (r = 0.940) and fruit height (r = 0.831). According to correlation and path analyses, stem diameter and length, leaf chlorophyll, and fruit perimeter and height were considered variables for fruit weight improvement in the breeding programs. It suggests that the increase in traits with a favorable direct influence on fruit weight may directly contribute to fruit weight.http://dx.doi.org/10.1155/2022/7877239
spellingShingle Thanet Khomphet
Warin Intana
Athakorn Promwee
Shams Shaila Islam
Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
International Journal of Agronomy
title Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
title_full Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
title_fullStr Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
title_full_unstemmed Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
title_short Genetic Variability, Correlation, and Path Analysis of Thai Commercial Melon Varieties
title_sort genetic variability correlation and path analysis of thai commercial melon varieties
url http://dx.doi.org/10.1155/2022/7877239
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AT warinintana geneticvariabilitycorrelationandpathanalysisofthaicommercialmelonvarieties
AT athakornpromwee geneticvariabilitycorrelationandpathanalysisofthaicommercialmelonvarieties
AT shamsshailaislam geneticvariabilitycorrelationandpathanalysisofthaicommercialmelonvarieties