Genomic Prediction of Green Fraction Dynamics in Soybean Using Unmanned Aerial Vehicles Observations

With the widespread use of high-throughput phenotyping systems, growth process data are expected to become more easily available. By applying genomic prediction to growth data, it will be possible to predict the growth of untested genotypes. Predicting the growth process will be useful for crop bree...

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Detalles Bibliográficos
Autores principales: Toda, Yusuke, Sasaki, Goshi, Ohmori, Yoshihiro, Yamasaki, Yuji, Takahashi, Hirokazu, Takanashi, Hideki, Tsuda, Mai, Kajiya-Kanegae, Hiromi, Lopez-Lozano, Raul, Tsujimoto, Hisashi, Kaga, Akito, Nakazono, Mikio, Fujiwara, Toru, Baret, Frederic, Iwata, Hiroyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966771/
https://www.ncbi.nlm.nih.gov/pubmed/35371133
http://dx.doi.org/10.3389/fpls.2022.828864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966771/
https://www.ncbi.nlm.nih.gov/pubmed/35371133
http://dx.doi.org/10.3389/fpls.2022.828864

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