PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION

Current research was conducted with the objectives to identify the utmost traits that may be beneficial for the higher productivity of the grains on high protein content genotypes lines by path coefficient. Path coefficient can define coefficient correlation directly and indirectly to gain informati...

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Main Authors: Totok Agung D.H., Fuad Nur Azis, Ponendi Hidayat, Dyah Susanti, Agus Riyanto, Shao Hui Zheng
Format: Article
Language:English
Published: Universitas Brawijaya 2014-02-01
Series:AGRIVITA Journal of Agricultural Science
Subjects:
Online Access:http://agrivita.ub.ac.id/index.php/agrivita/article/view/329
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author Totok Agung D.H.
Fuad Nur Azis
Ponendi Hidayat
Dyah Susanti
Agus Riyanto
Shao Hui Zheng
author_facet Totok Agung D.H.
Fuad Nur Azis
Ponendi Hidayat
Dyah Susanti
Agus Riyanto
Shao Hui Zheng
author_sort Totok Agung D.H.
collection DOAJ
description Current research was conducted with the objectives to identify the utmost traits that may be beneficial for the higher productivity of the grains on high protein content genotypes lines by path coefficient. Path coefficient can define coefficient correlation directly and indirectly to gain information about nature relationship between yield component and protein content to grain yield. Research material consisted of 61 selected plants from G39×Ciherang and 66 selected plants from Mentik Wangi×G39 at F4 generation. Plants were planted in Banyumas in May 2011. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage of filled grain per panicle, protein content, and grain yield were correlated by using Pearson correlation and were followed by path coefficient. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage filled grain per panicle, and protein content were used as dependent variable, while grain yield was used as independent variable. The result showed that protein content in both populations was not correlated with all yield components. The numbers of panicles, followed by panicle length, had highest positive direct effect to yield. The number of panicle was a positive mediator variable to yield from another variable.
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spelling doaj.art-54eaafc370fc4a19a3a7abf5ea0d14ab2022-12-22T02:36:29ZengUniversitas BrawijayaAGRIVITA Journal of Agricultural Science0126-05370126-05372014-02-01361913PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATIONTotok Agung D.H.0Fuad Nur Azis1Ponendi Hidayat2Dyah Susanti3Agus Riyanto4Shao Hui Zheng 5University of Jenderal SoedirmanUniversity of Jenderal SoedirmanUniversity of Jenderal SoedirmanUniversity of Jenderal SoedirmanUniversity of Jenderal SoedirmanSaga University JapanCurrent research was conducted with the objectives to identify the utmost traits that may be beneficial for the higher productivity of the grains on high protein content genotypes lines by path coefficient. Path coefficient can define coefficient correlation directly and indirectly to gain information about nature relationship between yield component and protein content to grain yield. Research material consisted of 61 selected plants from G39×Ciherang and 66 selected plants from Mentik Wangi×G39 at F4 generation. Plants were planted in Banyumas in May 2011. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage of filled grain per panicle, protein content, and grain yield were correlated by using Pearson correlation and were followed by path coefficient. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage filled grain per panicle, and protein content were used as dependent variable, while grain yield was used as independent variable. The result showed that protein content in both populations was not correlated with all yield components. The numbers of panicles, followed by panicle length, had highest positive direct effect to yield. The number of panicle was a positive mediator variable to yield from another variable.http://agrivita.ub.ac.id/index.php/agrivita/article/view/329correlationdirect effectindirect effectmediator variablepath analysis
spellingShingle Totok Agung D.H.
Fuad Nur Azis
Ponendi Hidayat
Dyah Susanti
Agus Riyanto
Shao Hui Zheng
PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
AGRIVITA Journal of Agricultural Science
correlation
direct effect
indirect effect
mediator variable
path analysis
title PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
title_full PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
title_fullStr PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
title_full_unstemmed PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
title_short PATH COEFFICIENT ANALYSIS G39×CIHERANG AND MENTIK WANGI×G39 RICE IN F4 GENERATION
title_sort path coefficient analysis g39 ciherang and mentik wangi g39 rice in f4 generation
topic correlation
direct effect
indirect effect
mediator variable
path analysis
url http://agrivita.ub.ac.id/index.php/agrivita/article/view/329
work_keys_str_mv AT totokagungdh pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation
AT fuadnurazis pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation
AT ponendihidayat pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation
AT dyahsusanti pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation
AT agusriyanto pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation
AT shaohuizheng pathcoefficientanalysisg39ciherangandmentikwangig39riceinf4generation