Study of statistic stability to select high-yielding and stable peach genotypes
- Autores
- Maulión, Evangelina; Valentini, Gabriel Hugo; Ornella, Leonardo Alfredo; Pairoba, Claudio Fabián; Daorden, Maria 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 (, , 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.
EEA San Pedro
Fil: 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; Argentina
Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Ornella, Leonardo Alfredo. NIDERA S.A; Argentina
Fil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Secretaria de Ciencia y Tecnología; Argentina
Fil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: 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; Argentina - Fuente
- Scientia Horticulturae 175 : 258-268 (August 2014)
- Materia
-
Durazno
Fitomejoramiento
Genotipos
Rendimiento
Prunus Persica
Estadísticas
Peaches
Plant Breeding
Genotypes
Yields
Statistics - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/5005
Ver los metadatos del registro completo
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Study of statistic stability to select high-yielding and stable peach genotypesMaulión, EvangelinaValentini, Gabriel HugoOrnella, Leonardo AlfredoPairoba, Claudio FabiánDaorden, Maria ElenaCervigni, Gerardo Domingo LucioDuraznoFitomejoramientoGenotiposRendimientoPrunus PersicaEstadísticasPeachesPlant BreedingGenotypesYieldsStatisticsIn 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.EEA San PedroFil: 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; ArgentinaFil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Ornella, Leonardo Alfredo. NIDERA S.A; ArgentinaFil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Secretaria de Ciencia y Tecnología; ArgentinaFil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: 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; ArgentinaElsevier2019-04-29T13:43:58Z2019-04-29T13:43:58Z2014-08-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0304423814003422http://hdl.handle.net/20.500.12123/50050304-4238https://doi.org/10.1016/j.scienta.2014.06.026Scientia Horticulturae 175 : 258-268 (August 2014)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:38Zoai:localhost:20.500.12123/5005instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:39.16INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| 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 Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics |
| 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 Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio |
| author |
Maulión, Evangelina |
| author_facet |
Maulión, Evangelina Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio |
| author_role |
author |
| author2 |
Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics |
| topic |
Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics |
| 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 (, , 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. EEA San Pedro Fil: 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; Argentina Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: Ornella, Leonardo Alfredo. NIDERA S.A; Argentina Fil: Pairoba, Claudio Fabián. Universidad Nacional de Rosario. Secretaria de Ciencia y Tecnología; Argentina Fil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: 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; 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 (, , 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. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014-08-15 2019-04-29T13:43:58Z 2019-04-29T13:43:58Z |
| 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 |
https://www.sciencedirect.com/science/article/pii/S0304423814003422 http://hdl.handle.net/20.500.12123/5005 0304-4238 https://doi.org/10.1016/j.scienta.2014.06.026 |
| url |
https://www.sciencedirect.com/science/article/pii/S0304423814003422 http://hdl.handle.net/20.500.12123/5005 https://doi.org/10.1016/j.scienta.2014.06.026 |
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0304-4238 |
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eng |
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eng |
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info:eu-repo/semantics/restrictedAccess |
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restrictedAccess |
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application/pdf |
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Elsevier |
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Elsevier |
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Scientia Horticulturae 175 : 258-268 (August 2014) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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