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Abstract
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 (, , Wi, θi and Ii) and non-parametric (, , 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. [ver mas...]
dc.contributor.authorMaulión, Evangelina
dc.contributor.authorValentini, Gabriel Hugo
dc.contributor.authorOrnella, Leonardo Alfredo
dc.contributor.authorPairoba, Claudio Fabián
dc.contributor.authorDaorden, Maria Elena
dc.contributor.authorCervigni, Gerardo Domingo Lucio
dc.date.accessioned2019-04-29T13:43:58Z
dc.date.available2019-04-29T13:43:58Z
dc.date.issued2014-08-15
dc.identifier.issn0304-4238
dc.identifier.otherhttps://doi.org/10.1016/j.scienta.2014.06.026
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0304423814003422
dc.identifier.urihttp://hdl.handle.net/20.500.12123/5005
dc.description.abstractIn 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 (, , Wi, θi and Ii) and non-parametric (, , 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-by-environment 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 θi, while Wi showed negative association with Pi. , , and 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceScientia Horticulturae 175 : 258-268 (August 2014)es_AR
dc.subjectDuraznoes_AR
dc.subjectPeacheseng
dc.subjectFitomejoramientoes_AR
dc.subjectPlant Breedingeng
dc.subjectGenotiposes_AR
dc.subjectGenotypeseng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectPrunus Persicaes_AR
dc.subjectEstadísticases_AR
dc.subjectStatisticseng
dc.titleStudy of statistic stability to select high-yielding and stable peach genotypeses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA San Pedroes_AR
dc.description.filFil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmaceuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentinaes_AR
dc.description.filFil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentinaes_AR
dc.description.filFil: Ornella, Leonardo Alfredo. NIDERA S.A; Argentinaes_AR
dc.description.filFil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Secretaria de Ciencia y Tecnología; Argentinaes_AR
dc.description.filFil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentinaes_AR
dc.description.filFil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmaceuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentinaes_AR
dc.subtypecientifico


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