Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)

Sapota is classified into two main types based on fruit shape as 'round' and 'oval'. However, there are several intermediates, as, it is a heterozygous tree crop. In this study, an effort was made to group available variability in sapota based on fruit characters and to analyze i...

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Autores principales: A Rekha, M R Dinesh, R Venugopalan, B N S Murthy
Formato: article
Lenguaje:EN
Publicado: Society for Promotion of Horticulture - Indian Institute of Horticultural Research 2011
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Acceso en línea:https://doaj.org/article/8929102c78c843ebb5033e32e29ddfb6
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spelling oai:doaj.org-article:8929102c78c843ebb5033e32e29ddfb62021-12-02T11:18:49ZGenetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)0973-354X2582-4899https://doaj.org/article/8929102c78c843ebb5033e32e29ddfb62011-12-01T00:00:00Zhttps://jhs.iihr.res.in/index.php/jhs/article/view/413https://doaj.org/toc/0973-354Xhttps://doaj.org/toc/2582-4899Sapota is classified into two main types based on fruit shape as 'round' and 'oval'. However, there are several intermediates, as, it is a heterozygous tree crop. In this study, an effort was made to group available variability in sapota based on fruit characters and to analyze it. This helps in selection of parents for use in further breeding programmes. Cluster analysis revealed four definite clusters. High variability was observed for fresh-fruit weight, fruit length, fruit girth, fruit weight at ripening, pulp weight, peel weight, number of seeds and TSS. Correlation studies among fruit parameters indicated positive relationship between all the parameters studied, except TSS which had negative relationship with the rest of the fruit parameters. Selection of distantly placed cultivars in breeding programs stands to result in better progeny for further evaluation.A RekhaM R DineshR VenugopalanB N S MurthySociety for Promotion of Horticulture - Indian Institute of Horticultural Researcharticlesapotafruit parametersvariabilitycorrelationclustersPlant cultureSB1-1110ENJournal of Horticultural Sciences, Vol 6, Iss 2, Pp 101-104 (2011)
institution DOAJ
collection DOAJ
language EN
topic sapota
fruit parameters
variability
correlation
clusters
Plant culture
SB1-1110
spellingShingle sapota
fruit parameters
variability
correlation
clusters
Plant culture
SB1-1110
A Rekha
M R Dinesh
R Venugopalan
B N S Murthy
Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
description Sapota is classified into two main types based on fruit shape as 'round' and 'oval'. However, there are several intermediates, as, it is a heterozygous tree crop. In this study, an effort was made to group available variability in sapota based on fruit characters and to analyze it. This helps in selection of parents for use in further breeding programmes. Cluster analysis revealed four definite clusters. High variability was observed for fresh-fruit weight, fruit length, fruit girth, fruit weight at ripening, pulp weight, peel weight, number of seeds and TSS. Correlation studies among fruit parameters indicated positive relationship between all the parameters studied, except TSS which had negative relationship with the rest of the fruit parameters. Selection of distantly placed cultivars in breeding programs stands to result in better progeny for further evaluation.
format article
author A Rekha
M R Dinesh
R Venugopalan
B N S Murthy
author_facet A Rekha
M R Dinesh
R Venugopalan
B N S Murthy
author_sort A Rekha
title Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
title_short Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
title_full Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
title_fullStr Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
title_full_unstemmed Genetic Correlation and Cluster Analysis in Sapota (Manilkara zapota)
title_sort genetic correlation and cluster analysis in sapota (manilkara zapota)
publisher Society for Promotion of Horticulture - Indian Institute of Horticultural Research
publishDate 2011
url https://doaj.org/article/8929102c78c843ebb5033e32e29ddfb6
work_keys_str_mv AT arekha geneticcorrelationandclusteranalysisinsapotamanilkarazapota
AT mrdinesh geneticcorrelationandclusteranalysisinsapotamanilkarazapota
AT rvenugopalan geneticcorrelationandclusteranalysisinsapotamanilkarazapota
AT bnsmurthy geneticcorrelationandclusteranalysisinsapotamanilkarazapota
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