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.
Main Authors: | , , , , , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-wur-nl-wurpubs-617657 |
---|---|
record_format |
koha |
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 |
work_keys_str_mv |
AT fadhlinur morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT faridmuh morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT azraimuhammad morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT nuramin morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT efendiroy morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT bambangpriyantoslamet morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT nasruddinandidirham morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize AT noviantifira morphologicalparametersheritabilityyieldcomponentcorrelationandmultivariateanalysistodeterminesecondarycharactersinselectinghybridmaize |
_version_ |
1813192939963154432 |