Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress

Abstract. Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori MF. 2020. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress. Biodiversitas 21: 3617-3624. The development of adaptive hybrid corn varieties under drought stress needs...

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Autores principales: NUR FADHLI, MUH. FARID, RAFIUDDIN, ROY EFFENDI, MUHAMMAD AZRAI, MUHAMMAD FUAD ANSHORI
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Publicado: MBI & UNS Solo 2020
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spelling oai:doaj.org-article:02bb359376b149ae9e495adbfbf086012021-11-22T12:17:57ZMultivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress1412-033X2085-472210.13057/biodiv/d210826https://doaj.org/article/02bb359376b149ae9e495adbfbf086012020-07-01T00:00:00Zhttps://smujo.id/biodiv/article/view/6402https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori MF. 2020. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress. Biodiversitas 21: 3617-3624. The development of adaptive hybrid corn varieties under drought stress needs an effective selection. Multivariate analysis has been reported can increase the effectiveness of selection in plants by attaching the secondary characters in the selection. Therefore, this concept also can be applied to develop adaptive corn varieties under drought stress. The objectives of this study are to determine the main secondary characters and select the best hybrid lines adaptive to drought stress. The experiment was arranged by a nested design, where replications nested under two environmental conditions, namely normal and drought stress. The main factor was genotypes consisted of 30 genotypes and was repeated three times. Moreover, the observations of this research consisted of 20 variables. The result of this research showed that the weight of harvested cob was an effective secondary character as a selection criterion along with productivity in selecting adaptive maize genotypes under drought stress. The number of green leaves was the character outside of the yield component could be as an alternative secondary character besides the weight of harvested cob. The selection results based on the weight of the harvested cob and productivity resulted in 12 hybrid corn lines considered adaptive to drought stress.NUR FADHLIMUH. FARIDRAFIUDDINROY EFFENDIMUHAMMAD AZRAIMUHAMMAD FUAD ANSHORIMBI & UNS Soloarticledrought stress, hybrid corn, index tolerance, multivariate analysis, zea maysBiology (General)QH301-705.5ENBiodiversitas, Vol 21, Iss 8 (2020)
institution DOAJ
collection DOAJ
language EN
topic drought stress, hybrid corn, index tolerance, multivariate analysis, zea mays
Biology (General)
QH301-705.5
spellingShingle drought stress, hybrid corn, index tolerance, multivariate analysis, zea mays
Biology (General)
QH301-705.5
NUR FADHLI
MUH. FARID
RAFIUDDIN
ROY EFFENDI
MUHAMMAD AZRAI
MUHAMMAD FUAD ANSHORI
Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
description Abstract. Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori MF. 2020. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress. Biodiversitas 21: 3617-3624. The development of adaptive hybrid corn varieties under drought stress needs an effective selection. Multivariate analysis has been reported can increase the effectiveness of selection in plants by attaching the secondary characters in the selection. Therefore, this concept also can be applied to develop adaptive corn varieties under drought stress. The objectives of this study are to determine the main secondary characters and select the best hybrid lines adaptive to drought stress. The experiment was arranged by a nested design, where replications nested under two environmental conditions, namely normal and drought stress. The main factor was genotypes consisted of 30 genotypes and was repeated three times. Moreover, the observations of this research consisted of 20 variables. The result of this research showed that the weight of harvested cob was an effective secondary character as a selection criterion along with productivity in selecting adaptive maize genotypes under drought stress. The number of green leaves was the character outside of the yield component could be as an alternative secondary character besides the weight of harvested cob. The selection results based on the weight of the harvested cob and productivity resulted in 12 hybrid corn lines considered adaptive to drought stress.
format article
author NUR FADHLI
MUH. FARID
RAFIUDDIN
ROY EFFENDI
MUHAMMAD AZRAI
MUHAMMAD FUAD ANSHORI
author_facet NUR FADHLI
MUH. FARID
RAFIUDDIN
ROY EFFENDI
MUHAMMAD AZRAI
MUHAMMAD FUAD ANSHORI
author_sort NUR FADHLI
title Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
title_short Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
title_full Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
title_fullStr Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
title_full_unstemmed Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
title_sort multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress
publisher MBI & UNS Solo
publishDate 2020
url https://doaj.org/article/02bb359376b149ae9e495adbfbf08601
work_keys_str_mv AT nurfadhli multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
AT muhfarid multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
AT rafiuddin multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
AT royeffendi multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
AT muhammadazrai multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
AT muhammadfuadanshori multivariateanalysistodeterminesecondarycharactersinselectingadaptivehybridcornlinesunderdroughtstress
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