Construction of prediction models for growth traits of soybean cultivars based on phenotyping in diverse genotype and environment combinations.
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| Title: | Construction of prediction models for growth traits of soybean cultivars based on phenotyping in diverse genotype and environment combinations. |
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| Authors: | Manggabarani AM; Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-8577, Japan., Hashiguchi T; Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan., Hashiguchi M; Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan., Hayashi A; Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan., Kikuchi M; Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan., Mustamin Y; Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-8577, Japan., Bamba M; Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-8577, Japan., Kodama K; Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan., Tanabata T; Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan., Isobe S; Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan., Tanaka H; Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan., Akashi R; Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan., Nakaya A; Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.; Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-0882, Japan., Sato S; Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi 980-8577, Japan. |
| Source: | DNA research : an international journal for rapid publication of reports on genes and genomes [DNA Res] 2022 Jun 25; Vol. 29 (4). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9423827 Publication Model: Print Cited Medium: Internet ISSN: 1756-1663 (Electronic) Linking ISSN: 13402838 NLM ISO Abbreviation: DNA Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1756-1663 |
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| DOI: | 10.1093/dnares/dsac024 |
