Double purpose wheat: correlation analysis of forage yield components

The direct and relative contribution of characters associated with forage production were evaluated in a comparative assay of wheat cultivars to contribute to an ideotype defnition when selecting double purpose material for forage and grain production. Simple correlations for all of the possible com...

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Autores principales:	Morant,Alicia, Merchán,Héctor, Lutz,Eugenio
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2010
Materias:	Correlation forage yield path coeffcient analysis Triticum yield components wheat
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100005
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spelling	oai:scielo:S0718-162020100001000052010-06-10Double purpose wheat: correlation analysis of forage yield componentsMorant,AliciaMerchán,HéctorLutz,Eugenio Correlation forage yield path coeffcient analysis Triticum yield components wheat The direct and relative contribution of characters associated with forage production were evaluated in a comparative assay of wheat cultivars to contribute to an ideotype defnition when selecting double purpose material for forage and grain production. Simple correlations for all of the possible combinations among the measured variables were calculated. The correlation partition method, known as path coeffcient, was applied to determine the causes of this association and to measure the relative importance of each factor. Forage production during the vegetative period was measured for each variety at the dates in which the apex reached the double ridge state (3 - 4 in the Nerson scale). The double ridge state was considered the deadline of the vegetative primordial production. Tiller numbers, live leaf numbers, dead leaf numbers, total leaf numbers and yield components in the forage were measured simultaneously. These variables had values of correlation, high positive and signifcant (p ≤ 0.01) with variable dry weight, and largely explained (R ² = 0.963) forage yields of the cultivars. Standard partial regression analyses indicated that the variables that most contributed to forage production were the total leaf and tiller number. Under these criteria, the ProINTA Pincen and ProINTA Super cultivars that had the highest dry weight values should meet the required conditions to adapt to dual purpose production.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.37 n.1 20102010-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100005en10.4067/S0718-16202010000100005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Correlation forage yield path coeffcient analysis Triticum yield components wheat
spellingShingle	Correlation forage yield path coeffcient analysis Triticum yield components wheat Morant,Alicia Merchán,Héctor Lutz,Eugenio Double purpose wheat: correlation analysis of forage yield components
description	The direct and relative contribution of characters associated with forage production were evaluated in a comparative assay of wheat cultivars to contribute to an ideotype defnition when selecting double purpose material for forage and grain production. Simple correlations for all of the possible combinations among the measured variables were calculated. The correlation partition method, known as path coeffcient, was applied to determine the causes of this association and to measure the relative importance of each factor. Forage production during the vegetative period was measured for each variety at the dates in which the apex reached the double ridge state (3 - 4 in the Nerson scale). The double ridge state was considered the deadline of the vegetative primordial production. Tiller numbers, live leaf numbers, dead leaf numbers, total leaf numbers and yield components in the forage were measured simultaneously. These variables had values of correlation, high positive and signifcant (p ≤ 0.01) with variable dry weight, and largely explained (R ² = 0.963) forage yields of the cultivars. Standard partial regression analyses indicated that the variables that most contributed to forage production were the total leaf and tiller number. Under these criteria, the ProINTA Pincen and ProINTA Super cultivars that had the highest dry weight values should meet the required conditions to adapt to dual purpose production.
author	Morant,Alicia Merchán,Héctor Lutz,Eugenio
author_facet	Morant,Alicia Merchán,Héctor Lutz,Eugenio
author_sort	Morant,Alicia
title	Double purpose wheat: correlation analysis of forage yield components
title_short	Double purpose wheat: correlation analysis of forage yield components
title_full	Double purpose wheat: correlation analysis of forage yield components
title_fullStr	Double purpose wheat: correlation analysis of forage yield components
title_full_unstemmed	Double purpose wheat: correlation analysis of forage yield components
title_sort	double purpose wheat: correlation analysis of forage yield components
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100005
work_keys_str_mv	AT morantalicia doublepurposewheatcorrelationanalysisofforageyieldcomponents AT merchanhector doublepurposewheatcorrelationanalysisofforageyieldcomponents AT lutzeugenio doublepurposewheatcorrelationanalysisofforageyieldcomponents
_version_	1714202121803399168

Double purpose wheat: correlation analysis of forage yield components

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