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Search on : MORA, FREDDY [Author]
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 Mora, Freddy. HEREDABILIDAD Y VALOR GENÉTICO (REML/BLUP) EN GENOTIPOS DE UN EUCALIPTO TOLERANTE A LA SEQUÍA, EN EL NORTE DE CHILE. Ciênc. Florest., Jun 2006, vol.16, no.2, p.145-151. ISSN 1980-5098


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 Mora, Freddy and Zamudio, Francisco VARIABILIDAD GENÉTICA DEL CRECIMIENTO EN PROGENIES SELECTAS DE Pinus radiata. Ciênc. Florest., Dic 2006, vol.16, no.4, p.399-405. ISSN 1980-5098


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 Mora, Freddy, Scapim, Carlos Alberto and Pinto, Ronald José Barth EL ANÁLISIS BAYESIANO Y LA PRECISIÓN DE LOS VALORES DE LA HEREDABILIDAD EN ESPECIES PERENNES. Ciênc. Florest., Oct 2009, vol.19, no.4, p.343-349. ISSN 1980-5098


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 Mora, Freddy et al. PREDICCIÓN BAYESIANA DE PARÁMETROS GENÉTICOS EN CLONES DE Eucalyptus globulus BAJO CONDICIONES DE SUPLEMENTO HÍDRICO. Ciênc. Florest., Jun 2013, vol.23, no.2, p.529-536. ISSN 1980-5098


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 Ferreira, Fernando et al. SSR-based genetic analysis of sweet corn inbred lines using artificial neural networks. Crop Breed. Appl. Biotechnol., Sept 2018, vol.18, no.3, p.309-313. ISSN 1984-7033
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 Kulka, Vania Portes et al. Diallel analysis and genetic differentiation of tropical and temperate maize inbred lines. Crop Breed. Appl. Biotechnol., Mar 2018, vol.18, no.1, p.31-38. ISSN 1984-7033
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 Rodovalho, Marcos et al. Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm. Crop Breed. Appl. Biotechnol., Dec 2014, vol.14, no.4, p.261-265. ISSN 1984-7033


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 Vargas-Reeve, Felipe et al. Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile. Crop Breed. Appl. Biotechnol., July 2013, vol.13, no.2, p.107-112. ISSN 1984-7033


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 Arnhold, Emmanuel et al. Prediction of genotypic values of maize for the agricultural frontier region in northeastern Maranhão, Brazil. Crop Breed. Appl. Biotechnol., June 2012, vol.12, no.2, p.151-155. ISSN 1984-7033


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 Costa, Marcia Oliveira et al. High genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks. Acta Sci., Agron., 2020, vol.42. ISSN 1807-8621
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