Genomic prediction modeling of soybean biomass using UAV‐based remote sensing and longitudinal model parameters
Abstract The application of remote sensing in plant breeding can provide rich information about the growth processes of plants, which leads to better understanding concerning crop yield. It has been shown that traits measured by remote sensing were also beneficial for genomic prediction (GP) because...
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Autores principales: | Yusuke Toda, Akito Kaga, Hiromi Kajiya‐Kanegae, Tomohiro Hattori, Shuhei Yamaoka, Masanori Okamoto, Hisashi Tsujimoto, Hiroyoshi Iwata |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/bdd7dc631d744d38ab75396284539f26 |
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