Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina
The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/2820 https://www.sciencedirect.com/science/article/pii/S0378429014001567 https://doi.org/10.1016/j.fcr.2014.06.011 |
| _version_ | 1855483126328852480 |
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| author | Curti, Ramiro Nestor Vega, Abelardo J. de la Andrade, Alberto Juan Bramardi, Sergio Jorge Bertero, Héctor Daniel |
| author_browse | Andrade, Alberto Juan Bertero, Héctor Daniel Bramardi, Sergio Jorge Curti, Ramiro Nestor Vega, Abelardo J. de la |
| author_facet | Curti, Ramiro Nestor Vega, Abelardo J. de la Andrade, Alberto Juan Bramardi, Sergio Jorge Bertero, Héctor Daniel |
| author_sort | Curti, Ramiro Nestor |
| collection | INTA Digital |
| description | The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both
seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can
complicate quinoa genotypic selection through strong genotype-by-environment interactions (G
E).
The magnitude and nature of the genotype (G) and G
E interaction effects for grain yield, its
physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were
examined in a multi-environment trial involving a reference set of 12 genotypes tested in six
environments. The tested genotypes were selected based on their known contrasting relative
performance to environments and different geographical origin. They represent three out of the four
genotypic groups identified in previous studies. The G
E interaction to G component of variance was 3:1,
30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was
large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered
matrix for grain yield revealed four genotypic groups with different response pattern across
environments. This clustering which separates genotypes from highlands and valleys showed a close
correspondence with the genotypic groups previously proposed based on phenotypic and genetic
characterization. On the other hand, a strong and repeatable negative association was observed between
highland and valley sites, in terms of their G
E interaction effects. Phenological variation among
genotypes in combination with environmental differences in the incidence of mildew or frost risk gave
rise to significant crossover yield responses to site changes and determined specific adaptation to
different ecological conditions. All yield components and determinants were involved in the genotype-
specific yield responses. The genotypic variability observed for time to
flowering determined the form of
the G
E interactions observed for total above-ground biomass in valley environments, while in the
highland sites, harvest index made a significant contribution. On the other hand, grain number was the
major component in grain yield determination, while grain weight showed a weak to strongly negative
association with grain number across both types of environment. In this sense, the future breeding
programs in NWA region should focus on these physiological attributes underlying grain yield variation
among genotypes across groups of environments for faster genetic progress. |
| format | Artículo |
| id | INTA2820 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA28202025-03-25T12:02:58Z Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina Curti, Ramiro Nestor Vega, Abelardo J. de la Andrade, Alberto Juan Bramardi, Sergio Jorge Bertero, Héctor Daniel Chenopodium Quinoa Genotipos Mildiu Interacción Genotipo Ambiente Caracteres de Rendimiento Yield Components Genotype Environment Interaction Downy Mildews Genotypes Quinoa Región Noroeste The quinoa growing region of Northwest Argentina (NWA) shows a strong environmental variability, both seasonal and spatial. In consequence, the site-year combinations in which yield trials are established can complicate quinoa genotypic selection through strong genotype-by-environment interactions (G E). The magnitude and nature of the genotype (G) and G E interaction effects for grain yield, its physiological determinants and components, and days-to-flower exhibited by quinoa at NWA were examined in a multi-environment trial involving a reference set of 12 genotypes tested in six environments. The tested genotypes were selected based on their known contrasting relative performance to environments and different geographical origin. They represent three out of the four genotypic groups identified in previous studies. The G E interaction to G component of variance was 3:1, 30:1 and 1.3:1 for grain yield, harvest index and grain number, respectively. Conversely, the G effect was large for biomass, grain weight and days-to-flower. Two-mode pattern analysis of the double-centered matrix for grain yield revealed four genotypic groups with different response pattern across environments. This clustering which separates genotypes from highlands and valleys showed a close correspondence with the genotypic groups previously proposed based on phenotypic and genetic characterization. On the other hand, a strong and repeatable negative association was observed between highland and valley sites, in terms of their G E interaction effects. Phenological variation among genotypes in combination with environmental differences in the incidence of mildew or frost risk gave rise to significant crossover yield responses to site changes and determined specific adaptation to different ecological conditions. All yield components and determinants were involved in the genotype- specific yield responses. The genotypic variability observed for time to flowering determined the form of the G E interactions observed for total above-ground biomass in valley environments, while in the highland sites, harvest index made a significant contribution. On the other hand, grain number was the major component in grain yield determination, while grain weight showed a weak to strongly negative association with grain number across both types of environment. In this sense, the future breeding programs in NWA region should focus on these physiological attributes underlying grain yield variation among genotypes across groups of environments for faster genetic progress. EEA Abra Pampa Fil: Curti, Ramiro Nestor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Escuela de Agronomía. Laboratorio de Investigaciones Botánicas; Argentina Fil: Vega, Abelardo J. de la. DuPont Pioneer; España Fil: Andrade, Alberto Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Abra Pampa; Argentina Fil: Bramardi, Sergio Jorge. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Universidad Nacional del Comahue; Argentina Fil: Bertero, Hector Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina 2018-07-18T18:40:01Z 2018-07-18T18:40:01Z 2014 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2820 https://www.sciencedirect.com/science/article/pii/S0378429014001567 0378-4290 https://doi.org/10.1016/j.fcr.2014.06.011 eng info:eu-repo/semantics/restrictedAccess application/pdf Argentina (nation) Field crops research 166 : 46–57. (2014) |
| spellingShingle | Chenopodium Quinoa Genotipos Mildiu Interacción Genotipo Ambiente Caracteres de Rendimiento Yield Components Genotype Environment Interaction Downy Mildews Genotypes Quinoa Región Noroeste Curti, Ramiro Nestor Vega, Abelardo J. de la Andrade, Alberto Juan Bramardi, Sergio Jorge Bertero, Héctor Daniel Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title | Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title_full | Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title_fullStr | Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title_full_unstemmed | Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title_short | Multi-environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across Northwest Argentina |
| title_sort | multi environmental evaluation for grain yield and its physiological determinants of quinoa genotypes across northwest argentina |
| topic | Chenopodium Quinoa Genotipos Mildiu Interacción Genotipo Ambiente Caracteres de Rendimiento Yield Components Genotype Environment Interaction Downy Mildews Genotypes Quinoa Región Noroeste |
| url | http://hdl.handle.net/20.500.12123/2820 https://www.sciencedirect.com/science/article/pii/S0378429014001567 https://doi.org/10.1016/j.fcr.2014.06.011 |
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