A Model for Predicting Diameter of ‘Red Sensation’ Pears

Autores
Garriz, Patricia Isabel; Colavita, Graciela María; Alvarez, Hugo L.; Spera, Nazarena; Blackhall, Valeria
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The pear cultivar ‘Red Sensation’ is showing popularity in the industry, because of its highly-colored, sweet and juicy fruit. Fruit size is critical for marketing pear; therefore, knowledge of growth dynamics becomes essential to program harvesting with minimum losses of size and flavor. The objective of this work was to develop a model to predict the seasonal growth for ‘Red Sensation’ pears, expressed in terms of fruit diameter as a function of time from full bloom. Fruit growth was followed at the Experimental Farm of the Universidad Nacional del Comahue, High Valley region, Río Negro, Argentina (38°56’S; 67°59’W), located in an arid region, with average annual rainfall of 250 mm, on a sandy loam soil, during the 2005-06, 2006-07, 2008-09, 2009-10 and 2010-11 growing seasons. The orchard was irrigated by surface flooding, and cultural practices were performed according to the local standard program. Trees were selected at random, and maximum fruit diameter (FD) measurements were carried out every two weeks with a Vernier caliper. The range of sampling dates was 19 and 117 days after full bloom (DFB). Equations were developed with SYSTAT procedure. The R2 values and residual mean squares were used to evaluate the goodness-to-fit of the models. Results showed that the following logistic model provided the most satisfactory fit to the pooled data (n=695), as compared to the power and linear equations: FD (mm)= 81.49/(1 + e1.9865-0.0301 DFB), R2=0.92, P<0.001. Fruit maximal absolute growth rate, derived from the selected function, was 0.61 mm/day. A prediction chart was based on the development of the equation and showed ‘Red Sensation’ pear sizes, at various times after 112 DFB, with practical application to aid crop marketing. This model can also be used for planning orchard practices such as thinning and irrigation.
Fil: Garriz, Patricia Isabel. Universidad Nacional del Comahue; Argentina
Fil: Colavita, Graciela María. Universidad Nacional del Comahue; Argentina
Fil: Alvarez, Hugo L.. Universidad Nacional del Comahue; Argentina
Fil: Spera, Nazarena. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Blackhall, Valeria. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Pyrus Communis
Growth
Modeling
Sigmoid Curve
Size Prediction
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/40597

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network_name_str CONICET Digital (CONICET)
spelling A Model for Predicting Diameter of ‘Red Sensation’ PearsGarriz, Patricia IsabelColavita, Graciela MaríaAlvarez, Hugo L.Spera, NazarenaBlackhall, ValeriaPyrus CommunisGrowthModelingSigmoid CurveSize PredictionThe pear cultivar ‘Red Sensation’ is showing popularity in the industry, because of its highly-colored, sweet and juicy fruit. Fruit size is critical for marketing pear; therefore, knowledge of growth dynamics becomes essential to program harvesting with minimum losses of size and flavor. The objective of this work was to develop a model to predict the seasonal growth for ‘Red Sensation’ pears, expressed in terms of fruit diameter as a function of time from full bloom. Fruit growth was followed at the Experimental Farm of the Universidad Nacional del Comahue, High Valley region, Río Negro, Argentina (38°56’S; 67°59’W), located in an arid region, with average annual rainfall of 250 mm, on a sandy loam soil, during the 2005-06, 2006-07, 2008-09, 2009-10 and 2010-11 growing seasons. The orchard was irrigated by surface flooding, and cultural practices were performed according to the local standard program. Trees were selected at random, and maximum fruit diameter (FD) measurements were carried out every two weeks with a Vernier caliper. The range of sampling dates was 19 and 117 days after full bloom (DFB). Equations were developed with SYSTAT procedure. The R2 values and residual mean squares were used to evaluate the goodness-to-fit of the models. Results showed that the following logistic model provided the most satisfactory fit to the pooled data (n=695), as compared to the power and linear equations: FD (mm)= 81.49/(1 + e1.9865-0.0301 DFB), R2=0.92, P<0.001. Fruit maximal absolute growth rate, derived from the selected function, was 0.61 mm/day. A prediction chart was based on the development of the equation and showed ‘Red Sensation’ pear sizes, at various times after 112 DFB, with practical application to aid crop marketing. This model can also be used for planning orchard practices such as thinning and irrigation.Fil: Garriz, Patricia Isabel. Universidad Nacional del Comahue; ArgentinaFil: Colavita, Graciela María. Universidad Nacional del Comahue; ArgentinaFil: Alvarez, Hugo L.. Universidad Nacional del Comahue; ArgentinaFil: Spera, Nazarena. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Blackhall, Valeria. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInternational Society for Horticultural Science2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/40597Garriz, Patricia Isabel; Colavita, Graciela María; Alvarez, Hugo L.; Spera, Nazarena; Blackhall, Valeria; A Model for Predicting Diameter of ‘Red Sensation’ Pears; International Society for Horticultural Science; Acta Horticulturae; 1068; 2015; 1-2015; 147-1520567-7572CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.actahort.org/books/1068/1068_18.htminfo:eu-repo/semantics/altIdentifier/doi/10.17660/ActaHortic.2015.1068.18info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:07Zoai:ri.conicet.gov.ar:11336/40597instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:38:07.94CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Model for Predicting Diameter of ‘Red Sensation’ Pears
title A Model for Predicting Diameter of ‘Red Sensation’ Pears
spellingShingle A Model for Predicting Diameter of ‘Red Sensation’ Pears
Garriz, Patricia Isabel
Pyrus Communis
Growth
Modeling
Sigmoid Curve
Size Prediction
title_short A Model for Predicting Diameter of ‘Red Sensation’ Pears
title_full A Model for Predicting Diameter of ‘Red Sensation’ Pears
title_fullStr A Model for Predicting Diameter of ‘Red Sensation’ Pears
title_full_unstemmed A Model for Predicting Diameter of ‘Red Sensation’ Pears
title_sort A Model for Predicting Diameter of ‘Red Sensation’ Pears
dc.creator.none.fl_str_mv Garriz, Patricia Isabel
Colavita, Graciela María
Alvarez, Hugo L.
Spera, Nazarena
Blackhall, Valeria
author Garriz, Patricia Isabel
author_facet Garriz, Patricia Isabel
Colavita, Graciela María
Alvarez, Hugo L.
Spera, Nazarena
Blackhall, Valeria
author_role author
author2 Colavita, Graciela María
Alvarez, Hugo L.
Spera, Nazarena
Blackhall, Valeria
author2_role author
author
author
author
dc.subject.none.fl_str_mv Pyrus Communis
Growth
Modeling
Sigmoid Curve
Size Prediction
topic Pyrus Communis
Growth
Modeling
Sigmoid Curve
Size Prediction
dc.description.none.fl_txt_mv The pear cultivar ‘Red Sensation’ is showing popularity in the industry, because of its highly-colored, sweet and juicy fruit. Fruit size is critical for marketing pear; therefore, knowledge of growth dynamics becomes essential to program harvesting with minimum losses of size and flavor. The objective of this work was to develop a model to predict the seasonal growth for ‘Red Sensation’ pears, expressed in terms of fruit diameter as a function of time from full bloom. Fruit growth was followed at the Experimental Farm of the Universidad Nacional del Comahue, High Valley region, Río Negro, Argentina (38°56’S; 67°59’W), located in an arid region, with average annual rainfall of 250 mm, on a sandy loam soil, during the 2005-06, 2006-07, 2008-09, 2009-10 and 2010-11 growing seasons. The orchard was irrigated by surface flooding, and cultural practices were performed according to the local standard program. Trees were selected at random, and maximum fruit diameter (FD) measurements were carried out every two weeks with a Vernier caliper. The range of sampling dates was 19 and 117 days after full bloom (DFB). Equations were developed with SYSTAT procedure. The R2 values and residual mean squares were used to evaluate the goodness-to-fit of the models. Results showed that the following logistic model provided the most satisfactory fit to the pooled data (n=695), as compared to the power and linear equations: FD (mm)= 81.49/(1 + e1.9865-0.0301 DFB), R2=0.92, P<0.001. Fruit maximal absolute growth rate, derived from the selected function, was 0.61 mm/day. A prediction chart was based on the development of the equation and showed ‘Red Sensation’ pear sizes, at various times after 112 DFB, with practical application to aid crop marketing. This model can also be used for planning orchard practices such as thinning and irrigation.
Fil: Garriz, Patricia Isabel. Universidad Nacional del Comahue; Argentina
Fil: Colavita, Graciela María. Universidad Nacional del Comahue; Argentina
Fil: Alvarez, Hugo L.. Universidad Nacional del Comahue; Argentina
Fil: Spera, Nazarena. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Blackhall, Valeria. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The pear cultivar ‘Red Sensation’ is showing popularity in the industry, because of its highly-colored, sweet and juicy fruit. Fruit size is critical for marketing pear; therefore, knowledge of growth dynamics becomes essential to program harvesting with minimum losses of size and flavor. The objective of this work was to develop a model to predict the seasonal growth for ‘Red Sensation’ pears, expressed in terms of fruit diameter as a function of time from full bloom. Fruit growth was followed at the Experimental Farm of the Universidad Nacional del Comahue, High Valley region, Río Negro, Argentina (38°56’S; 67°59’W), located in an arid region, with average annual rainfall of 250 mm, on a sandy loam soil, during the 2005-06, 2006-07, 2008-09, 2009-10 and 2010-11 growing seasons. The orchard was irrigated by surface flooding, and cultural practices were performed according to the local standard program. Trees were selected at random, and maximum fruit diameter (FD) measurements were carried out every two weeks with a Vernier caliper. The range of sampling dates was 19 and 117 days after full bloom (DFB). Equations were developed with SYSTAT procedure. The R2 values and residual mean squares were used to evaluate the goodness-to-fit of the models. Results showed that the following logistic model provided the most satisfactory fit to the pooled data (n=695), as compared to the power and linear equations: FD (mm)= 81.49/(1 + e1.9865-0.0301 DFB), R2=0.92, P<0.001. Fruit maximal absolute growth rate, derived from the selected function, was 0.61 mm/day. A prediction chart was based on the development of the equation and showed ‘Red Sensation’ pear sizes, at various times after 112 DFB, with practical application to aid crop marketing. This model can also be used for planning orchard practices such as thinning and irrigation.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/40597
Garriz, Patricia Isabel; Colavita, Graciela María; Alvarez, Hugo L.; Spera, Nazarena; Blackhall, Valeria; A Model for Predicting Diameter of ‘Red Sensation’ Pears; International Society for Horticultural Science; Acta Horticulturae; 1068; 2015; 1-2015; 147-152
0567-7572
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40597
identifier_str_mv Garriz, Patricia Isabel; Colavita, Graciela María; Alvarez, Hugo L.; Spera, Nazarena; Blackhall, Valeria; A Model for Predicting Diameter of ‘Red Sensation’ Pears; International Society for Horticultural Science; Acta Horticulturae; 1068; 2015; 1-2015; 147-152
0567-7572
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.actahort.org/books/1068/1068_18.htm
info:eu-repo/semantics/altIdentifier/doi/10.17660/ActaHortic.2015.1068.18
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Society for Horticultural Science
publisher.none.fl_str_mv International Society for Horticultural Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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