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Article

Predicting biomass of rice with intermediate traits: Modeling method combining crop growth models and genomic prediction models.

PloS one - 1 Jan 2020

Toda Yusuke, Wakatsuki Hitomi, Aoike Toru, Kajiya-Kanegae Hiromi, Yamasaki Masanori, Yoshioka Takuma, Ebana Kaworu, Hayashi Takeshi, Nakagawa Hiroshi, Hasegawa Toshihiro, Iwata Hiroyoshi

Abstract excerpt

Genomic prediction (GP) is expected to become a powerful technology for accelerating the genetic improvement of complex crop traits. Several GP models have been proposed to enhance their applications in plant breeding, including environmental effects and genotype-by-environment interactions (G×E). In this study, we proposed a two-step model for plant biomass prediction wherein environmental information and...

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PMID: 32559220
DOI: 10.1371/journal.pone.0233951
PMCID: PMC7304626

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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