Study of statistic stability to select high-yielding and stable peach genotypes
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, eva...
| Main Authors: | , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Elsevier
2019
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| Subjects: | |
| Online Access: | 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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| author | Maulión, Evangelina Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio |
| author_browse | Cervigni, Gerardo Domingo Lucio Daorden, Maria Elena Maulión, Evangelina Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Valentini, Gabriel Hugo |
| author_facet | Maulión, Evangelina Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio |
| author_sort | Maulión, Evangelina |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA5005 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA50052019-04-29T13:46:08Z Study of statistic stability to select high-yielding and stable peach genotypes Maulión, Evangelina Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics 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 2019-04-29T13:43:58Z 2019-04-29T13:43:58Z 2014-08-15 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Scientia Horticulturae 175 : 258-268 (August 2014) |
| spellingShingle | Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics Maulión, Evangelina Valentini, Gabriel Hugo Ornella, Leonardo Alfredo Pairoba, Claudio Fabián Daorden, Maria Elena Cervigni, Gerardo Domingo Lucio 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 |
| 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_short | 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 |
| topic | Durazno Fitomejoramiento Genotipos Rendimiento Prunus Persica Estadísticas Peaches Plant Breeding Genotypes Yields Statistics |
| 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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