Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars
In wheat breeding programs, it is essential to define an optimum databasestructure for the effective comparison of cultivars. This work aimed to determine the ideal number of years, replications, and test locations to evaluate the yield and quality of wheat cultivars for reliable comparison. The dat...
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Facultad de Ciencias Agropecuarias
2025
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/agris/article/view/48120 |
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I10-R352-article-481202025-07-22T19:49:12Z Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars Optimización de los tamaños de ensayos multiambientalespara la evaluación de rendimiento y calidad de cultivares de trigo Mójica, Claudia Julieta Mójica, Claudia Julieta Abbate, Pablo Eduardo Rossi, Ezequiel Alejandro Bonamico, Natalia Cecilia Balzarini, Mónica Graciela Triticum aestivum L. trial network variance components resource allocation Triticum aestivum L. red de ensayos componentes de varianza asignación de recursos In wheat breeding programs, it is essential to define an optimum databasestructure for the effective comparison of cultivars. This work aimed to determine the ideal number of years, replications, and test locations to evaluate the yield and quality of wheat cultivars for reliable comparison. The data evaluated were obtained from the Argentine Comparative Trials Network for Wheat Cultivars, which includes evaluations with and without fungicides, and different sowing dates. The following grain variables were analyzed: yield, ash percentage, farinograph stability, wet gluten concentration, test weight, thousandgrain weight, protein concentration, percent flour yield, bread volume, and alveograph strength. Variance components were obtained using restrictedmaximum likelihood. The results indicated an optimum number of replicates of at least four for yield and between two and six for quality. At least five locations are required to evaluate yield, but quality varies depending on the trait, with four locations being sufficient for most. In general, four years of trials were sufficient.These results will improve the efficiency and reliability of bread wheat cultivar testing networks. En los programas de mejora genética de trigo debe definirse la estructura óptima de la base de datos para la comparación de cultivares. Este trabajo tuvo como objetivo determinar el número óptimo de repeticiones, localidadesy años de ensayo para evaluar rendimiento y calidad de cultivares de trigo. Los datos fueron obtenidos de la Red Argentina de Ensayos Comparativos de Cultivares de Trigo, que incluye evaluaciones con y sin fungicidas, y diferentes fechas de siembra. Las variables analizadas fueron rendimiento, porcentajede cenizas, estabilidad farinográfica, concentración de gluten húmedo, peso hectolítrico, peso de mil granos, concentración de proteína, rendimiento de harina, volumen de pan y fuerza alveográfica. Los componentes de la varianza se obtuvieron utilizando máxima verosimilitud restringida. Los resultadosobtenidos indican un número óptimo de repeticiones de al menos cuatro, para rendimiento, y entre dos y seis para calidad. Para rendimiento se requieren al menos cinco localidades, y para calidad varía según el rasgo, siendo cuatro un número adecuado para la mayoría. En general, fueron suficientes cuatro años de ensayo. Estos resultados permitirán mejorar la eficiencia y confiabilidad de las redes de ensayos de cultivares de trigo pan. Facultad de Ciencias Agropecuarias 2025-07-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/agris/article/view/48120 10.31047/1668.298x.v42.n1.48120 AgriScientia; ##issue.vol## 42 ##issue.no## 1 (2025); 9-20 AgriScientia; Vol. 42 Núm. 1 (2025); 9-20 1668-298X 10.31047/1668.298x.v42.n1 eng https://revistas.unc.edu.ar/index.php/agris/article/view/48120/49769 Derechos de autor 2025 Claudia Julieta Mójica, Pablo Eduardo Abbate, Ezequiel Alejandro Rossi, Natalia Cecilia Bonamico, Mónica Graciela Balzarini https://creativecommons.org/licenses/by-sa/4.0 |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-352 |
| container_title_str |
AgriScientia |
| language |
Inglés |
| format |
Artículo revista |
| topic |
Triticum aestivum L. trial network variance components resource allocation Triticum aestivum L. red de ensayos componentes de varianza asignación de recursos |
| spellingShingle |
Triticum aestivum L. trial network variance components resource allocation Triticum aestivum L. red de ensayos componentes de varianza asignación de recursos Mójica, Claudia Julieta Mójica, Claudia Julieta Abbate, Pablo Eduardo Rossi, Ezequiel Alejandro Bonamico, Natalia Cecilia Balzarini, Mónica Graciela Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| topic_facet |
Triticum aestivum L. trial network variance components resource allocation Triticum aestivum L. red de ensayos componentes de varianza asignación de recursos |
| author |
Mójica, Claudia Julieta Mójica, Claudia Julieta Abbate, Pablo Eduardo Rossi, Ezequiel Alejandro Bonamico, Natalia Cecilia Balzarini, Mónica Graciela |
| author_facet |
Mójica, Claudia Julieta Mójica, Claudia Julieta Abbate, Pablo Eduardo Rossi, Ezequiel Alejandro Bonamico, Natalia Cecilia Balzarini, Mónica Graciela |
| author_sort |
Mójica, Claudia Julieta |
| title |
Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| title_short |
Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| title_full |
Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| title_fullStr |
Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| title_full_unstemmed |
Optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| title_sort |
optimization of multienviroment trial sizesto evaluate the yield and quality of wheatcultivars |
| description |
In wheat breeding programs, it is essential to define an optimum databasestructure for the effective comparison of cultivars. This work aimed to determine the ideal number of years, replications, and test locations to evaluate the yield and quality of wheat cultivars for reliable comparison. The data evaluated were obtained from the Argentine Comparative Trials Network for Wheat Cultivars, which includes evaluations with and without fungicides, and different sowing dates. The following grain variables were analyzed: yield, ash percentage, farinograph stability, wet gluten concentration, test weight, thousandgrain weight, protein concentration, percent flour yield, bread volume, and alveograph strength. Variance components were obtained using restrictedmaximum likelihood. The results indicated an optimum number of replicates of at least four for yield and between two and six for quality. At least five locations are required to evaluate yield, but quality varies depending on the trait, with four locations being sufficient for most. In general, four years of trials were sufficient.These results will improve the efficiency and reliability of bread wheat cultivar testing networks. |
| publisher |
Facultad de Ciencias Agropecuarias |
| publishDate |
2025 |
| url |
https://revistas.unc.edu.ar/index.php/agris/article/view/48120 |
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