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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Auteurs principaux: Yusuke Toda, Akito Kaga, Hiromi Kajiya‐Kanegae, Tomohiro Hattori, Shuhei Yamaoka, Masanori Okamoto, Hisashi Tsujimoto, Hiroyoshi Iwata
Format: article
Langue:EN
Publié: Wiley 2021
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Accès en ligne:https://doaj.org/article/bdd7dc631d744d38ab75396284539f26
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