Validation of a leaf area prediction model proposed for rose

Leaf area (LA) is a valuable key for evaluating plant growth, therefore accurate, simple, and nondestructive methods for LA determination are important for physiological and agronomic studies. A LA prediction model based on leaf length (L) and width (W) and developed under greenhouse on 14 cultivars...

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Autores principales:	Fascella,Giancarlo, Darwich,Salem, Rouphael,Youssef
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2013
Materias:	Leaf length leaf width Rosa hybr Rosa sempervirens light environments regression analysis model validation
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000100011
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spelling	oai:scielo:S0718-583920130001000112018-10-01Validation of a leaf area prediction model proposed for roseFascella,GiancarloDarwich,SalemRouphael,Youssef Leaf length leaf width Rosa hybr Rosa sempervirens light environments regression analysis model validation Leaf area (LA) is a valuable key for evaluating plant growth, therefore accurate, simple, and nondestructive methods for LA determination are important for physiological and agronomic studies. A LA prediction model based on leaf length (L) and width (W) and developed under greenhouse on 14 cultivars of rose (Rosa hybr.*) was validated on a different cultivar of R. hybrida ’Red France’ and on a wild rose species (Rosa sempervirens L.) grown under open-field conditions with two light environments: ambient and 50% shade. Comparisons between measured vs. calculated LA using the following model: LA (cm²) = 0.56 + 0.717 LW, showed a high degree of correlation (R² > 0.95) and provided quantitative evidence of the validity of the LA prediction model. Calculated LA values were very close to the measured values, giving an underestimation of 3.5%, 4.2%, 1.1%, and an overestimation of 1.3% in the prediction for R. hybrida ambient light, R. hybrida 50% shade, R. sempervirens ambient light, R. sempervirens 50% shade, respectively. This model can provide accurate estimations of rose LA independently of the genetic materials and the growing conditions and can be adopted in many experimental comparisons without the use of any expensive instruments.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.73 n.1 20132013-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000100011en10.4067/S0718-58392013000100011
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Leaf length leaf width Rosa hybr Rosa sempervirens light environments regression analysis model validation
spellingShingle	Leaf length leaf width Rosa hybr Rosa sempervirens light environments regression analysis model validation Fascella,Giancarlo Darwich,Salem Rouphael,Youssef Validation of a leaf area prediction model proposed for rose
description	Leaf area (LA) is a valuable key for evaluating plant growth, therefore accurate, simple, and nondestructive methods for LA determination are important for physiological and agronomic studies. A LA prediction model based on leaf length (L) and width (W) and developed under greenhouse on 14 cultivars of rose (Rosa hybr.*) was validated on a different cultivar of R. hybrida ’Red France’ and on a wild rose species (Rosa sempervirens L.) grown under open-field conditions with two light environments: ambient and 50% shade. Comparisons between measured vs. calculated LA using the following model: LA (cm²) = 0.56 + 0.717 LW, showed a high degree of correlation (R² > 0.95) and provided quantitative evidence of the validity of the LA prediction model. Calculated LA values were very close to the measured values, giving an underestimation of 3.5%, 4.2%, 1.1%, and an overestimation of 1.3% in the prediction for R. hybrida ambient light, R. hybrida 50% shade, R. sempervirens ambient light, R. sempervirens 50% shade, respectively. This model can provide accurate estimations of rose LA independently of the genetic materials and the growing conditions and can be adopted in many experimental comparisons without the use of any expensive instruments.
author	Fascella,Giancarlo Darwich,Salem Rouphael,Youssef
author_facet	Fascella,Giancarlo Darwich,Salem Rouphael,Youssef
author_sort	Fascella,Giancarlo
title	Validation of a leaf area prediction model proposed for rose
title_short	Validation of a leaf area prediction model proposed for rose
title_full	Validation of a leaf area prediction model proposed for rose
title_fullStr	Validation of a leaf area prediction model proposed for rose
title_full_unstemmed	Validation of a leaf area prediction model proposed for rose
title_sort	validation of a leaf area prediction model proposed for rose
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392013000100011
work_keys_str_mv	AT fascellagiancarlo validationofaleafareapredictionmodelproposedforrose AT darwichsalem validationofaleafareapredictionmodelproposedforrose AT rouphaelyoussef validationofaleafareapredictionmodelproposedforrose
_version_	1714205321114681344

Validation of a leaf area prediction model proposed for rose

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