Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize

Fadhli N, Farid M, Azrai M, Nur A, Efendi R, Priyanto SB, Nasruddin AD, Novianti F. 2023. Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize. Biodiversitas 24: 3750-3757. Direct selection for grain yield traits in maize (Zea mays L.) is often inefficient under specific conditions, necessitating the accurate determination of secondary traits to facilitate implementation and enhance selection precision. This study aimed to examine the morphological parameters, heritability, yield component correlations, and multivariate analysis of hybrid maize for determining potential secondary traits through indirect selection. The experimental design employed a randomized complete block design (RCBD) comprising 17 genotypes, including 15 hybrid maize lines and 2 hybrid maize varieties (RK 457 and RK 57). The results revealed that weight of harvested cob character and yield traits demonstrated significant correlations with production. Correlation values were further analyzed using biplot analysis and path analysis to identify potential secondary traits. The principal component biplot analysis results indicated four characters as effective secondary traits for selection, namely weight of harvested cob, yield, weight of 1000 seeds, and moisture content. MSM53/BCY as a parent of JHD 05 displayed superior performance compared to the two commercial hybrid varieties. Based on path analysis results, the weight of harvested cob character exhibited the highest direct effect on production with a value of 0.93, indicating that weight of harvested cob is the best secondary trait for selection.

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Main Authors: Fadhli, Nur, Farid, Muh, Azrai, Muhammad, Nur, Amin, Efendi, Roy, Bambang Priyanto, Slamet, Nasruddin, Andi Dirham, Novianti, Fira
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Correlation, Zea mays, heritability, multivariate analysis, secondary characters,
Online Access:https://research.wur.nl/en/publications/morphological-parameters-heritability-yield-component-correlation
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spelling dig-wur-nl-wurpubs-6176572024-10-02 Fadhli, Nur Farid, Muh Azrai, Muhammad Nur, Amin Efendi, Roy Bambang Priyanto, Slamet Nasruddin, Andi Dirham Novianti, Fira Article/Letter to editor Biodiversitas 24 (2023) 7 ISSN: 1412-033X Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize 2023 Fadhli N, Farid M, Azrai M, Nur A, Efendi R, Priyanto SB, Nasruddin AD, Novianti F. 2023. Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize. Biodiversitas 24: 3750-3757. Direct selection for grain yield traits in maize (Zea mays L.) is often inefficient under specific conditions, necessitating the accurate determination of secondary traits to facilitate implementation and enhance selection precision. This study aimed to examine the morphological parameters, heritability, yield component correlations, and multivariate analysis of hybrid maize for determining potential secondary traits through indirect selection. The experimental design employed a randomized complete block design (RCBD) comprising 17 genotypes, including 15 hybrid maize lines and 2 hybrid maize varieties (RK 457 and RK 57). The results revealed that weight of harvested cob character and yield traits demonstrated significant correlations with production. Correlation values were further analyzed using biplot analysis and path analysis to identify potential secondary traits. The principal component biplot analysis results indicated four characters as effective secondary traits for selection, namely weight of harvested cob, yield, weight of 1000 seeds, and moisture content. MSM53/BCY as a parent of JHD 05 displayed superior performance compared to the two commercial hybrid varieties. Based on path analysis results, the weight of harvested cob character exhibited the highest direct effect on production with a value of 0.93, indicating that weight of harvested cob is the best secondary trait for selection. en application/pdf https://research.wur.nl/en/publications/morphological-parameters-heritability-yield-component-correlation https://edepot.wur.nl/636456 Correlation Zea mays heritability multivariate analysis secondary characters https://creativecommons.org/licenses/by-nc-sa/4.0/ https://creativecommons.org/licenses/by-nc-sa/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Correlation
Zea mays
heritability
multivariate analysis
secondary characters
Correlation
Zea mays
heritability
multivariate analysis
secondary characters
spellingShingle Correlation
Zea mays
heritability
multivariate analysis
secondary characters
Correlation
Zea mays
heritability
multivariate analysis
secondary characters
Fadhli, Nur
Farid, Muh
Azrai, Muhammad
Nur, Amin
Efendi, Roy
Bambang Priyanto, Slamet
Nasruddin, Andi Dirham
Novianti, Fira
Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
description Fadhli N, Farid M, Azrai M, Nur A, Efendi R, Priyanto SB, Nasruddin AD, Novianti F. 2023. Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize. Biodiversitas 24: 3750-3757. Direct selection for grain yield traits in maize (Zea mays L.) is often inefficient under specific conditions, necessitating the accurate determination of secondary traits to facilitate implementation and enhance selection precision. This study aimed to examine the morphological parameters, heritability, yield component correlations, and multivariate analysis of hybrid maize for determining potential secondary traits through indirect selection. The experimental design employed a randomized complete block design (RCBD) comprising 17 genotypes, including 15 hybrid maize lines and 2 hybrid maize varieties (RK 457 and RK 57). The results revealed that weight of harvested cob character and yield traits demonstrated significant correlations with production. Correlation values were further analyzed using biplot analysis and path analysis to identify potential secondary traits. The principal component biplot analysis results indicated four characters as effective secondary traits for selection, namely weight of harvested cob, yield, weight of 1000 seeds, and moisture content. MSM53/BCY as a parent of JHD 05 displayed superior performance compared to the two commercial hybrid varieties. Based on path analysis results, the weight of harvested cob character exhibited the highest direct effect on production with a value of 0.93, indicating that weight of harvested cob is the best secondary trait for selection.
format Article/Letter to editor
topic_facet Correlation
Zea mays
heritability
multivariate analysis
secondary characters
author Fadhli, Nur
Farid, Muh
Azrai, Muhammad
Nur, Amin
Efendi, Roy
Bambang Priyanto, Slamet
Nasruddin, Andi Dirham
Novianti, Fira
author_facet Fadhli, Nur
Farid, Muh
Azrai, Muhammad
Nur, Amin
Efendi, Roy
Bambang Priyanto, Slamet
Nasruddin, Andi Dirham
Novianti, Fira
author_sort Fadhli, Nur
title Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
title_short Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
title_full Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
title_fullStr Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
title_full_unstemmed Morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
title_sort morphological parameters, heritability, yield component correlation, and multivariate analysis to determine secondary characters in selecting hybrid maize
url https://research.wur.nl/en/publications/morphological-parameters-heritability-yield-component-correlation
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