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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| Autores principales: | , , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Inglés |
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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 |
| Aporte de: |
| Sumario: | 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. |
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