Study of statistic stability to select high-yielding and stable peach genotypes

Autores
Maulión, Evangelina; Valentini, Gabriel; Ornella, Leonardo Alfredo; Pairoba, Claudio Fabián; Daorden, María Elena; Cervigni, Gerardo Domingo Lucio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric (S2 ij , biS2 xi, Wi, i and Ii) and non-parametric (S(1) i , S(2) i , S(3) i and Pi) stability measures, evaluate the level of association among them, select superior accessions and identify major environmental variables as causes of yield variation among years. Fruit yield stability was studied using data of fruit yield from 25 peach genotypes under three environments, arranged in a completely randomized design with three replications. Frosts, chilling, heat, rainfall and the interactions among them were considered as explanatory variables of yield variation through years. Crossover was the main effect of genotype-byenvironment interaction indicating that the selection of high-yielding and stable peach genotype would be a laborious task for breeders. The interaction between rainfall and heat accumulation during fruit development period explained 96.7% of yield variation among years. Yield (Yi) exhibited negative correlation with Wi and i, while Wi showed negative association with Pi. S(1) i , S(2) i , and S(3) i were positively associated with each other, showing that just one of these three statistics would be sufficient to select stable accessions although they were not correlated with Yi. Fruit yield was positively correlated with Pi and Ii, these two measures were also positively associated with each other, and therefore, only one of them would be enough for selection of superior peach accessions. Both, Pi and Ii statistics revealed that accessions Sunprince, Flameprince, María Aurelia, Vega, Starlite and Flavorcrest were the most stable and high-yielding genotypes across environments
Fil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; Argentina
Fil: Valentini, Gabriel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Ornella, Leonardo Alfredo. NIDERA S.A; Argentina
Fil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Facultad de Psicología. Secretaria de Ciencia y Tecnología; Argentina
Fil: Daorden, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; Argentina
Materia
Multi-Environments Trials
Parametric And Non-Parametric Statistics
Peach Breeding
Prunus Persica L
Rank Correlation
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:11336/29710
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/29710
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Study of statistic stability to select high-yielding and stable peach genotypesMaulión, EvangelinaValentini, GabrielOrnella, Leonardo AlfredoPairoba, Claudio FabiánDaorden, María ElenaCervigni, Gerardo Domingo LucioMulti-Environments TrialsParametric And Non-Parametric StatisticsPeach BreedingPrunus Persica LRank CorrelationIn peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric (S2 ij , biS2 xi, Wi, i and Ii) and non-parametric (S(1) i , S(2) i , S(3) i and Pi) stability measures, evaluate the level of association among them, select superior accessions and identify major environmental variables as causes of yield variation among years. Fruit yield stability was studied using data of fruit yield from 25 peach genotypes under three environments, arranged in a completely randomized design with three replications. Frosts, chilling, heat, rainfall and the interactions among them were considered as explanatory variables of yield variation through years. Crossover was the main effect of genotype-byenvironment interaction indicating that the selection of high-yielding and stable peach genotype would be a laborious task for breeders. The interaction between rainfall and heat accumulation during fruit development period explained 96.7% of yield variation among years. Yield (Yi) exhibited negative correlation with Wi and i, while Wi showed negative association with Pi. S(1) i , S(2) i , and S(3) i were positively associated with each other, showing that just one of these three statistics would be sufficient to select stable accessions although they were not correlated with Yi. Fruit yield was positively correlated with Pi and Ii, these two measures were also positively associated with each other, and therefore, only one of them would be enough for selection of superior peach accessions. Both, Pi and Ii statistics revealed that accessions Sunprince, Flameprince, María Aurelia, Vega, Starlite and Flavorcrest were the most stable and high-yielding genotypes across environmentsFil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; ArgentinaFil: Valentini, Gabriel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Ornella, Leonardo Alfredo. NIDERA S.A; ArgentinaFil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Facultad de Psicología. Secretaria de Ciencia y Tecnología; ArgentinaFil: Daorden, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; ArgentinaElsevier Science2014-08info: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/11336/29710Maulión, Evangelina; Valentini, Gabriel; Ornella, Leonardo Alfredo; Pairoba, Claudio Fabián; Daorden, María Elena; et al.; Study of statistic stability to select high-yielding and stable peach genotypes; Elsevier Science; Scientia Horticulturae; 175; 8-2014; 258-2680304-4238CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0304423814003422info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scienta.2014.06.026info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:08Zoai:ri.conicet.gov.ar:11336/29710instacron: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 09:35:09.103CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Study of statistic stability to select high-yielding and stable peach genotypes
title Study of statistic stability to select high-yielding and stable peach genotypes
spellingShingle Study of statistic stability to select high-yielding and stable peach genotypes
Maulión, Evangelina
Multi-Environments Trials
Parametric And Non-Parametric Statistics
Peach Breeding
Prunus Persica L
Rank Correlation
title_short Study of statistic stability to select high-yielding and stable peach genotypes
title_full Study of statistic stability to select high-yielding and stable peach genotypes
title_fullStr Study of statistic stability to select high-yielding and stable peach genotypes
title_full_unstemmed Study of statistic stability to select high-yielding and stable peach genotypes
title_sort Study of statistic stability to select high-yielding and stable peach genotypes
dc.creator.none.fl_str_mv Maulión, Evangelina
Valentini, Gabriel
Ornella, Leonardo Alfredo
Pairoba, Claudio Fabián
Daorden, María Elena
Cervigni, Gerardo Domingo Lucio
author Maulión, Evangelina
author_facet Maulión, Evangelina
Valentini, Gabriel
Ornella, Leonardo Alfredo
Pairoba, Claudio Fabián
Daorden, María Elena
Cervigni, Gerardo Domingo Lucio
author_role author
author2 Valentini, Gabriel
Ornella, Leonardo Alfredo
Pairoba, Claudio Fabián
Daorden, María Elena
Cervigni, Gerardo Domingo Lucio
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Multi-Environments Trials
Parametric And Non-Parametric Statistics
Peach Breeding
Prunus Persica L
Rank Correlation
topic Multi-Environments Trials
Parametric And Non-Parametric Statistics
Peach Breeding
Prunus Persica L
Rank Correlation
dc.description.none.fl_txt_mv In peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric (S2 ij , biS2 xi, Wi, i and Ii) and non-parametric (S(1) i , S(2) i , S(3) i and Pi) stability measures, evaluate the level of association among them, select superior accessions and identify major environmental variables as causes of yield variation among years. Fruit yield stability was studied using data of fruit yield from 25 peach genotypes under three environments, arranged in a completely randomized design with three replications. Frosts, chilling, heat, rainfall and the interactions among them were considered as explanatory variables of yield variation through years. Crossover was the main effect of genotype-byenvironment interaction indicating that the selection of high-yielding and stable peach genotype would be a laborious task for breeders. The interaction between rainfall and heat accumulation during fruit development period explained 96.7% of yield variation among years. Yield (Yi) exhibited negative correlation with Wi and i, while Wi showed negative association with Pi. S(1) i , S(2) i , and S(3) i were positively associated with each other, showing that just one of these three statistics would be sufficient to select stable accessions although they were not correlated with Yi. Fruit yield was positively correlated with Pi and Ii, these two measures were also positively associated with each other, and therefore, only one of them would be enough for selection of superior peach accessions. Both, Pi and Ii statistics revealed that accessions Sunprince, Flameprince, María Aurelia, Vega, Starlite and Flavorcrest were the most stable and high-yielding genotypes across environments
Fil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; Argentina
Fil: Valentini, Gabriel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Ornella, Leonardo Alfredo. NIDERA S.A; Argentina
Fil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Facultad de Psicología. Secretaria de Ciencia y Tecnología; Argentina
Fil: Daorden, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosinteticos y Bioquimicos. Universidad Nacional de Rosario. Facultad de Cs.bioquímicas y Farmaceuticas. Centro de Estudios Fotosinteticos y Bioquimicos; Argentina
description In peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric (S2 ij , biS2 xi, Wi, i and Ii) and non-parametric (S(1) i , S(2) i , S(3) i and Pi) stability measures, evaluate the level of association among them, select superior accessions and identify major environmental variables as causes of yield variation among years. Fruit yield stability was studied using data of fruit yield from 25 peach genotypes under three environments, arranged in a completely randomized design with three replications. Frosts, chilling, heat, rainfall and the interactions among them were considered as explanatory variables of yield variation through years. Crossover was the main effect of genotype-byenvironment interaction indicating that the selection of high-yielding and stable peach genotype would be a laborious task for breeders. The interaction between rainfall and heat accumulation during fruit development period explained 96.7% of yield variation among years. Yield (Yi) exhibited negative correlation with Wi and i, while Wi showed negative association with Pi. S(1) i , S(2) i , and S(3) i were positively associated with each other, showing that just one of these three statistics would be sufficient to select stable accessions although they were not correlated with Yi. Fruit yield was positively correlated with Pi and Ii, these two measures were also positively associated with each other, and therefore, only one of them would be enough for selection of superior peach accessions. Both, Pi and Ii statistics revealed that accessions Sunprince, Flameprince, María Aurelia, Vega, Starlite and Flavorcrest were the most stable and high-yielding genotypes across environments
publishDate 2014
dc.date.none.fl_str_mv 2014-08
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/11336/29710
Maulión, Evangelina; Valentini, Gabriel; Ornella, Leonardo Alfredo; Pairoba, Claudio Fabián; Daorden, María Elena; et al.; Study of statistic stability to select high-yielding and stable peach genotypes; Elsevier Science; Scientia Horticulturae; 175; 8-2014; 258-268
0304-4238
CONICET Digital
CONICET
url http://hdl.handle.net/11336/29710
identifier_str_mv Maulión, Evangelina; Valentini, Gabriel; Ornella, Leonardo Alfredo; Pairoba, Claudio Fabián; Daorden, María Elena; et al.; Study of statistic stability to select high-yielding and stable peach genotypes; Elsevier Science; Scientia Horticulturae; 175; 8-2014; 258-268
0304-4238
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.sciencedirect.com/science/article/pii/S0304423814003422
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scienta.2014.06.026
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 Elsevier Science
publisher.none.fl_str_mv Elsevier 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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score 13.070432

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