Modeling of Flowering Time in Vigna radiata with Artificial Image Objects, Convolutional Neural Network and Random Forest

Flowering time is an important target for breeders in developing new varieties adapted to changing conditions. In this work, a new approach is proposed in which the SNP markers influencing time to flowering in mung bean are selected as important features in a random forest model. The genotypic and w...

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Detalles Bibliográficos
Autores principales: Bavykina, Maria, Kostina, Nadezhda, Lee, Cheng-Ruei, Schafleitner, Roland, Bishop-von Wettberg, Eric, Nuzhdin, Sergey V., Samsonova, Maria, Gursky, Vitaly, Kozlov, Konstantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738219/
https://www.ncbi.nlm.nih.gov/pubmed/36501364
http://dx.doi.org/10.3390/plants11233327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738219/
https://www.ncbi.nlm.nih.gov/pubmed/36501364
http://dx.doi.org/10.3390/plants11233327

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