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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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