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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/40597
Ver los metadatos del registro completo
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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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1844613204630568960 |
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13.070432 |