A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.)
- Autores
- Ostengo, Santiago; Rueda Calderón, María Angélica; Bruno, Cecilia Ines; Cuenya, María Inés; Balzarini, Monica Graciela
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Sucrose accumulation curves represent the maturity profile of sugarcane cultivars, which is considered as a character of interest for the selection of genotypes in breeding programs. However, variations due to the environment (E) and interaction between genotype and environment (G × E) may be confused with the effect of genotype (G) and hinder the selection process of promising clones. The objective of this study was to identify a group of accumulation curves with high intra-group genotypic variability in the sucrose accumulation process throughout several E. This group is then used to select genotypes according to their maturity profile. A protocol is presented whereby the following statistical tools are integrated: (i) classification of nonlinear accumulation curves according to parameters associated with the beginning of the maturity process, sucrose accumulation rate and the time elapsed until the accumulation rate decreases, (ii) estimation of the genotypic contribution to intra-group variability of each accumulation curve parameter within each group and (iii) identification of the group of accumulation curves with the higher contribution of genotypic variability to total variance of sucrose accumulation parameters. The novelty of the work lies in the sequence of analytical steps to identify information useful to select genotypes according to their maturity profile. The protocol involves estimating parameters of nonlinear models for fitting maturity curves in multi-environment trials, clustering of curves according to the sucrose accumulation parameters and estimation of variability due to G, E and G × E within each cluster to identify the group with characteristic genotypic curves. Its implementation is illustrated using 175 sucrose accumulation curves of nine sugarcane clones evaluated in different crop cycles (first and second ratoons) and several environments (7 to 50 for each clone) in Tucumán, Argentina. The proposed protocol allows identifying sucrose accumulation curves that exhibit a high genotypic variance, thus facilitating the selection of the best clones.
Fil: Ostengo, Santiago. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; Argentina
Fil: Rueda Calderón, María Angélica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Área de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bruno, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Cuenya, María Inés. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Balzarini, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma | Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma; Argentina - Materia
-
ACCUMULATION CURVES
CLUSTER ANALYSIS
NONLINEAR MODELS
VARIANCE COMPONENTS - 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:11336/184908
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A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.)Ostengo, SantiagoRueda Calderón, María AngélicaBruno, Cecilia InesCuenya, María InésBalzarini, Monica GracielaACCUMULATION CURVESCLUSTER ANALYSISNONLINEAR MODELSVARIANCE COMPONENTShttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4Sucrose accumulation curves represent the maturity profile of sugarcane cultivars, which is considered as a character of interest for the selection of genotypes in breeding programs. However, variations due to the environment (E) and interaction between genotype and environment (G × E) may be confused with the effect of genotype (G) and hinder the selection process of promising clones. The objective of this study was to identify a group of accumulation curves with high intra-group genotypic variability in the sucrose accumulation process throughout several E. This group is then used to select genotypes according to their maturity profile. A protocol is presented whereby the following statistical tools are integrated: (i) classification of nonlinear accumulation curves according to parameters associated with the beginning of the maturity process, sucrose accumulation rate and the time elapsed until the accumulation rate decreases, (ii) estimation of the genotypic contribution to intra-group variability of each accumulation curve parameter within each group and (iii) identification of the group of accumulation curves with the higher contribution of genotypic variability to total variance of sucrose accumulation parameters. The novelty of the work lies in the sequence of analytical steps to identify information useful to select genotypes according to their maturity profile. The protocol involves estimating parameters of nonlinear models for fitting maturity curves in multi-environment trials, clustering of curves according to the sucrose accumulation parameters and estimation of variability due to G, E and G × E within each cluster to identify the group with characteristic genotypic curves. Its implementation is illustrated using 175 sucrose accumulation curves of nine sugarcane clones evaluated in different crop cycles (first and second ratoons) and several environments (7 to 50 for each clone) in Tucumán, Argentina. The proposed protocol allows identifying sucrose accumulation curves that exhibit a high genotypic variance, thus facilitating the selection of the best clones.Fil: Ostengo, Santiago. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; ArgentinaFil: Rueda Calderón, María Angélica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Área de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bruno, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; ArgentinaFil: Cuenya, María Inés. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Balzarini, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma | Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma; ArgentinaSpringer2021-02-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/184908Ostengo, Santiago; Rueda Calderón, María Angélica; Bruno, Cecilia Ines; Cuenya, María Inés; Balzarini, Monica Graciela; A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.); Springer; Sugar Tech; 23; 3; 6-2-2021; 519-5230972-15250974-0740CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s12355-020-00926-8info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12355-020-00926-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:33Zoai:ri.conicet.gov.ar:11336/184908instacron: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 09:46:33.446CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
title |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
spellingShingle |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) Ostengo, Santiago ACCUMULATION CURVES CLUSTER ANALYSIS NONLINEAR MODELS VARIANCE COMPONENTS |
title_short |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
title_full |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
title_fullStr |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
title_full_unstemmed |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
title_sort |
A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.) |
dc.creator.none.fl_str_mv |
Ostengo, Santiago Rueda Calderón, María Angélica Bruno, Cecilia Ines Cuenya, María Inés Balzarini, Monica Graciela |
author |
Ostengo, Santiago |
author_facet |
Ostengo, Santiago Rueda Calderón, María Angélica Bruno, Cecilia Ines Cuenya, María Inés Balzarini, Monica Graciela |
author_role |
author |
author2 |
Rueda Calderón, María Angélica Bruno, Cecilia Ines Cuenya, María Inés Balzarini, Monica Graciela |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
ACCUMULATION CURVES CLUSTER ANALYSIS NONLINEAR MODELS VARIANCE COMPONENTS |
topic |
ACCUMULATION CURVES CLUSTER ANALYSIS NONLINEAR MODELS VARIANCE COMPONENTS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.5 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Sucrose accumulation curves represent the maturity profile of sugarcane cultivars, which is considered as a character of interest for the selection of genotypes in breeding programs. However, variations due to the environment (E) and interaction between genotype and environment (G × E) may be confused with the effect of genotype (G) and hinder the selection process of promising clones. The objective of this study was to identify a group of accumulation curves with high intra-group genotypic variability in the sucrose accumulation process throughout several E. This group is then used to select genotypes according to their maturity profile. A protocol is presented whereby the following statistical tools are integrated: (i) classification of nonlinear accumulation curves according to parameters associated with the beginning of the maturity process, sucrose accumulation rate and the time elapsed until the accumulation rate decreases, (ii) estimation of the genotypic contribution to intra-group variability of each accumulation curve parameter within each group and (iii) identification of the group of accumulation curves with the higher contribution of genotypic variability to total variance of sucrose accumulation parameters. The novelty of the work lies in the sequence of analytical steps to identify information useful to select genotypes according to their maturity profile. The protocol involves estimating parameters of nonlinear models for fitting maturity curves in multi-environment trials, clustering of curves according to the sucrose accumulation parameters and estimation of variability due to G, E and G × E within each cluster to identify the group with characteristic genotypic curves. Its implementation is illustrated using 175 sucrose accumulation curves of nine sugarcane clones evaluated in different crop cycles (first and second ratoons) and several environments (7 to 50 for each clone) in Tucumán, Argentina. The proposed protocol allows identifying sucrose accumulation curves that exhibit a high genotypic variance, thus facilitating the selection of the best clones. Fil: Ostengo, Santiago. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; Argentina Fil: Rueda Calderón, María Angélica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Área de Estadística y Biometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Bruno, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina Fil: Cuenya, María Inés. Gobierno de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial Obispo Colombres; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Balzarini, Monica Graciela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma | Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola. Grupo Vinculado Catedra de Estadística y Biometría de la Facultad de Ciencias Agropecuarias de la Universidad Nacional de Córdoba al Ufyma; Argentina |
description |
Sucrose accumulation curves represent the maturity profile of sugarcane cultivars, which is considered as a character of interest for the selection of genotypes in breeding programs. However, variations due to the environment (E) and interaction between genotype and environment (G × E) may be confused with the effect of genotype (G) and hinder the selection process of promising clones. The objective of this study was to identify a group of accumulation curves with high intra-group genotypic variability in the sucrose accumulation process throughout several E. This group is then used to select genotypes according to their maturity profile. A protocol is presented whereby the following statistical tools are integrated: (i) classification of nonlinear accumulation curves according to parameters associated with the beginning of the maturity process, sucrose accumulation rate and the time elapsed until the accumulation rate decreases, (ii) estimation of the genotypic contribution to intra-group variability of each accumulation curve parameter within each group and (iii) identification of the group of accumulation curves with the higher contribution of genotypic variability to total variance of sucrose accumulation parameters. The novelty of the work lies in the sequence of analytical steps to identify information useful to select genotypes according to their maturity profile. The protocol involves estimating parameters of nonlinear models for fitting maturity curves in multi-environment trials, clustering of curves according to the sucrose accumulation parameters and estimation of variability due to G, E and G × E within each cluster to identify the group with characteristic genotypic curves. Its implementation is illustrated using 175 sucrose accumulation curves of nine sugarcane clones evaluated in different crop cycles (first and second ratoons) and several environments (7 to 50 for each clone) in Tucumán, Argentina. The proposed protocol allows identifying sucrose accumulation curves that exhibit a high genotypic variance, thus facilitating the selection of the best clones. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-06 |
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/11336/184908 Ostengo, Santiago; Rueda Calderón, María Angélica; Bruno, Cecilia Ines; Cuenya, María Inés; Balzarini, Monica Graciela; A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.); Springer; Sugar Tech; 23; 3; 6-2-2021; 519-523 0972-1525 0974-0740 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/184908 |
identifier_str_mv |
Ostengo, Santiago; Rueda Calderón, María Angélica; Bruno, Cecilia Ines; Cuenya, María Inés; Balzarini, Monica Graciela; A protocol for cdentifying characteristic sucrose accumulation curves of sugarcane genotypes (Saccharum spp.); Springer; Sugar Tech; 23; 3; 6-2-2021; 519-523 0972-1525 0974-0740 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s12355-020-00926-8 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12355-020-00926-8 |
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 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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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1844613453816266752 |
score |
13.070432 |