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Database :	article
Search on :	SILVA, FABYANO FONSECA E [Author]
References found :	66 [refine]
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COSTA, Edson Vinícius et al. Multi-trait and repeatability models for genetic evaluation of litter traits in pigs considering different farrowings. Rev. bras. saúde prod. anim., Dec 2016, vol.17, no.4, p.666-676. ISSN 1519-9940

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Silveira, Fernanda Gomes da et al. Classificação multivariada de modelos de crescimento para grupos genéticos de ovinos de corte. Rev. bras. saúde prod. anim., Mar 2012, vol.13, no.1, p.62-73. ISSN 1519-9940

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Carvalho, Samuel de Pádua Chaves e et al. Modelos não lineares generalizados aplicados na predição da área basal e volume de Eucalyptus clonal. CERNE, Dez 2011, vol.17, no.4, p.541-548. ISSN 0104-7760

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Carneiro, Antonio Policarpo Souza et al. Genomic simulation for the study of data transformation efficiency in the genetic evaluation of cattle in the presence of heterogeneity. Acta Sci., Anim. Sci., Mar 2012, vol.34, no.1, p.77-81. ISSN 1807-8672

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Barili, Leiri Daiane et al. Five decades of black common bean genetic breeding in Brazil. Pesqui. Agropecu. Trop., Sept 2016, vol.46, no.3, p.259-266. ISSN 1983-4063

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Siqueira, Dalmo Lopes de et al. Micropropagação da bananeira 'Maçã', cultivada in vitro em diferentes volumes de meio líquido. Rev. Ceres, Dez 2013, vol.60, no.6, p.745-751. ISSN 0034-737X

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Nascimento, Moysés et al. Multiple centroid method to evaluate the adaptability of alfalfa genotypes. Rev. Ceres, Feb 2015, vol.62, no.1, p.30-36. ISSN 0034-737X

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Azevedo, Camila Ferreira et al. Population structure correction for genomic selection through eigenvector covariates. Crop Breed. Appl. Biotechnol., Dec 2017, vol.17, no.4, p.350-358. ISSN 1984-7033

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Barili, Leiri Daiane et al. Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years. Crop Breed. Appl. Biotechnol., Dec 2015, vol.15, no.4, p.244-250. ISSN 1984-7033

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Silva, Fabyano Fonseca e et al. Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves. Sci. agric. (Piracicaba, Braz.), Feb 2017, vol.74, no.1, p.1-7. ISSN 0103-9016

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