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Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments.

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Title: Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments.
Authors: Ribeiro PCO; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil., Howard R; Department of Statistics, University of Nebraska - Lincoln (UNL), Lincoln, NE, USA., Jarquin D; Department of Agronomy, University of Florida, Gainesville, FL, USA., Oliveira ICM; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil., Chaves S; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.; Department of Genetics, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil., Carneiro PCS; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil., Souza VF; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil., Schaffert RE; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil., Damasceno CMB; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil., Parrella RAC; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil., Dias KOG; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil. kaio.o.dias@ufv.br.; Institute of Artificial and Computational Intelligence (IDATA), Federal University of Viçosa, Viçosa, Minas Gerais, Brazil. kaio.o.dias@ufv.br., Pastina MM; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil. marta.pastina@embrapa.br.
Source: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2025 May 09; Vol. 138 (6), pp. 113. Date of Electronic Publication: 2025 May 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 0145600 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-2242 (Electronic) Linking ISSN: 00405752 NLM ISO Abbreviation: Theor Appl Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments.
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  Data: <searchLink fieldCode="AU" term="%22Ribeiro+PCO%22">Ribeiro PCO</searchLink>; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Howard+R%22">Howard R</searchLink>; Department of Statistics, University of Nebraska - Lincoln (UNL), Lincoln, NE, USA.<br /><searchLink fieldCode="AU" term="%22Jarquin+D%22">Jarquin D</searchLink>; Department of Agronomy, University of Florida, Gainesville, FL, USA.<br /><searchLink fieldCode="AU" term="%22Oliveira+ICM%22">Oliveira ICM</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Chaves+S%22">Chaves S</searchLink>; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.; Department of Genetics, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.<br /><searchLink fieldCode="AU" term="%22Carneiro+PCS%22">Carneiro PCS</searchLink>; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Souza+VF%22">Souza VF</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Schaffert+RE%22">Schaffert RE</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Damasceno+CMB%22">Damasceno CMB</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Parrella+RAC%22">Parrella RAC</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil.<br /><searchLink fieldCode="AU" term="%22Dias+KOG%22">Dias KOG</searchLink>; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil. kaio.o.dias@ufv.br.; Institute of Artificial and Computational Intelligence (IDATA), Federal University of Viçosa, Viçosa, Minas Gerais, Brazil. kaio.o.dias@ufv.br.<br /><searchLink fieldCode="AU" term="%22Pastina+MM%22">Pastina MM</searchLink>; Embrapa Milho e Sorgo, Brazilian Agricultural Research Corporation (Embrapa), Sete Lagoas, Minas Gerais, Brazil. marta.pastina@embrapa.br.
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