Modeling of Flowering Time in <i>Vigna radiata</i> 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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Detalhes bibliográficos

Principais autores:	Maria Bavykina, Nadezhda Kostina, Cheng-Ruei Lee, Roland Schafleitner, Eric Bishop-von Wettberg, Sergey V. Nuzhdin, Maria Samsonova, Vitaly Gursky, Konstantin Kozlov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-12-01
coleção:	Plants
Assuntos:	flowering time mung bean artificial image objects climatic factors GWAS convolutional neural network
Acesso em linha:	https://www.mdpi.com/2223-7747/11/23/3327
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