Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines (2016)
- Authors:
- USP affiliated authors: FRITSCHE NETO, ROBERTO - ESALQ ; MENDONÇA, LEANDRO DE FREITAS - ESALQ ; GRANATO, ITALO STEFANINE CORREIA - ESALQ ; ALVES, FILIPE COUTO - ESALQ
- Unidade: ESALQ
- Subjects: MILHO; LINHAGENS VEGETAIS; AGROCLIMATOLOGIA; ESTRESSE; SEMEADURA; HIBRIDAÇÃO VEGETAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
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ABNT
MENDONÇA, Leandro F et al. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines. Maydica, v. 61, n. 3, p. 1-7, 2016Tradução . . Disponível em: https://journals-crea.4science.it/index.php/maydica/article/view/1549. Acesso em: 28 dez. 2025. -
APA
Mendonça, L. F., Fritsche-Neto, R., Granato, Í. S. C., & Alves, F. C. (2016). Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines. Maydica, 61( 3), 1-7. Recuperado de https://journals-crea.4science.it/index.php/maydica/article/view/1549 -
NLM
Mendonça LF, Fritsche-Neto R, Granato ÍSC, Alves FC. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines [Internet]. Maydica. 2016 ; 61( 3): 1-7.[citado 2025 dez. 28 ] Available from: https://journals-crea.4science.it/index.php/maydica/article/view/1549 -
Vancouver
Mendonça LF, Fritsche-Neto R, Granato ÍSC, Alves FC. Accuracy and simultaneous selection gains for grain yield and earliness in tropical maize lines [Internet]. Maydica. 2016 ; 61( 3): 1-7.[citado 2025 dez. 28 ] Available from: https://journals-crea.4science.it/index.php/maydica/article/view/1549 - Using public databases for genomic prediction of tropical maize lines
- The accuracy of different strategies for building training sets for genomic predictions in soybean segregating populations
- Seleção genômica
- Genetic Vulnerability and the Relationship of Commercial Germplasms of Maize in Brazil with the Nested Association Mapping Parents
- Population structure analysis and identification of genomic regions under selection associated with low-nitrogen tolerance in tropical maize lines
- Genomic prediction enables early but low-intensity selection in soybean segregating progenies
- Acurácia da seleção simultânea para caracteres de interesse em milho tropical de segunda safra
- Performance prediction of crosses using estimated breeding values for regions of soybean production in Brazil
- Unraveling the impact of genotype by environment interaction complexity and a new proposal to understand the contribution of additive and non-additive effects on genomic prediction in tropical maize single-crosses
- snpReady and BGGE: R packages to prepare datasets and perform genome-enabled predictions
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