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. |
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| 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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| ISSN: | 1432-2242 |
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| DOI: | 10.1007/s00122-025-04895-y |
