Modeling of Flowering Time in <i>Vigna radiata</i> with Approximate Bayesian Computation
Flowering time is an important target for breeders in developing new varieties adapted to changing conditions. A new approach is proposed that uses Approximate Bayesian Computation with Differential Evolution to construct a pool of models for flowering time. The functions for daily progression of th...
Guardado en:
Autores principales: | Andrey Ageev, Cheng-Ruei Lee, Chau-Ti Ting, Roland Schafleitner, Eric Bishop-von Wettberg, Sergey V. Nuzhdin, Maria Samsonova, Konstantin Kozlov |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/eb4ce8cc07a849018cc2e1827c1bbaae |
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