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Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. Author(s): CAMARGO JUNIOR, R. N. C.; FERNANDES, L. da S.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; ARAUJO, C. V. de; SILVA, A. G. M. e; MARQUES, J. R. F.; SILVA, W. C. da; ARAUJO, S. I. de; CASTRO, S. R. S. de; SILVA, L. K. X.; CASTRO, S. V.; LOURENÇO JUNIOR, J. de B. The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as... ... Repository: BDPA Publication year: 2023
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. Author(s): THOLON, P.; QUEIROZ, S. A. The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive gene... ... Repository: BDPA Publication year: 2011
Study of heterogeneity of variance and genetic parameters for milk production of Gyr cattle. Author(s): FERNANDES, L. da S.; ARAÚJO, C. V. de; PAJANOTI, A. E. G.; MENEZES, F. L. de; SILVA, F. G. da; SILVA, M. V. G. B.; PANETTO, J. C. do C.; VALENTE, T. da S. Repository: BDPA Publication year: 2018
Heterogeneity of variance and genetic parameters for milk production up to 305 days in girolando cattle by bayesian inference. Author(s): FERNANDES, L. da S.; ARAÚJO, C. V. de; TEIXEIRA, C. de S.; MENEZES, F. L. de; SILVA, F. G. da; SILVA, M. V. G. B.; PANETTO, J. C. do C.; VALENTE, T. da S. Repository: BDPA Publication year: 2018
Estimates for genetic variance components in reciprocal recurrent selection in populations derived from maize single-cross hybrids. Author(s): REIS, M. C. dos; PÁDUA, J. M. V.; ABREU, G. B.; GUEDES, F. L.; BALBI, R. V.; SOUZA, J. C. de This study was carried out to obtain the estimates of genetic variance and covariance components related to intra- and interpopulation in the original populations (C0) and in the third cycle (C3) of r... ... Repository: BDPA Publication year: 2014
Modeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment. Author(s): LARA, L. A. DE C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; GARCIA, A. A. F. Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant populat... ... Repository: BDPA Publication year: 2016
Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database. Author(s): GLENN, T. C.; LANCE, S. L.; MCKEE, A. M.; WEBSTER, B. L.; EMERY, A. M.; ZERLOTINI, A.; OLIVEIRA, G.; ROLLINSON, D.; FAIRCLOTH, B. C. Background: Urogenital schistosomiasis caused by Schistosoma haematobium is widely distributed across Africa and is increasingly being targeted for control. Genome sequences and population genetic par... ... Repository: BDPA Publication year: 2013
Estimation of (co)variance components and genetic parameters for tick resistance in beef cattle measured by counting in two different body regions. Author(s): BIEGELMEYER, P.; CARDOSO, F. F.; GOMES, C. C. G.; ROSO, V. M.; DIONELLO, N. J. L. Repository: BDPA Publication year: 2011
Wide genetic variability within and among families in a germplasm collection of jatropha curcas l. as revealed by microsatellite markers. Author(s): FERNANDES, E. da C.; DIAS, L. A. dos S.; CAIXETA, E. T.; CORRÊA, T. R.; MUNIZ, D. R.; ALMEIDA, O. F. de J. curcas is a species with wide potential for biofuel production. However, there are few breeding programs and little information on its genetic structure. Studies indicate that the species has narro... ... Repository: BDPA Publication year: 2021
Statistical significance, selection accuracy, and experimental precision in plant breeding. Author(s): RESENDE, M. D. V. de; ALVES, R. S. Genetic selection efficiency is measured by accuracy. Model selection relies on hypothesis testing with effectiveness given by statistical significance (p-value). Estimates of selection accuracy are b... ... Repository: BDPA Publication year: 2022

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