Selection
Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle
Authors: V.B. Pedrosa, E. Groeneveld, J.P. Eler and J.B.S. Ferraz
For genetic evaluation of beef cattle, univariate or bivariate analyses are often performed as an alternative to decrease the complexity of matrices and mathematical models compared to multivariate analysis, which considers a larger number of joint traits. The use of bivariate methods to calculate genetic predictors may cause .. Read More»
- Genet. Mol. Res. 13(2):
- http://dx.doi.org/2014.May.23.14
- DOI:
- http://dx.doi.org/10.4238/2014.May.23.14
Incorporation of genetic marker information in beef cattle breeding programs
Authors: F.M. Rezende
The availability of molecular marker information has turned out to be an opportunity to improve animal breeding programs, by the inclusion of those effects in the estimation of breeding values. Along this perspective, the aims of present research were to compare genetic evaluation models that assume or not marker effects in the estimation of breeding valu.. Read More»
- Genet. Mol. Res. 12(4):
- 2013.October.30.1
- DOI:
- 10.4238/2013.October.30.1
Random regression models using Legendre orthogonal polynomials to evaluate the milk production of Alpine goats
Authors: F.G. Silva, R.A. Torres, L.F. Brito, R.F. Euclydes, A.L.P. Melo,N.O. Souza1, J.I. Ribeiro Jr. and M.T. Rodrigues
The objective of this study was to identify the best random regression model using Legendre orthogonal polynomials to evaluate Alpine goats genetically and to estimate the parameters for test day milk yield. On the test day, we analyzed 20,710 records of milk yield of 667 goats from the Goat Sector of the Universidade Federal de Viçosa. The evaluat.. Read More»
- Genet. Mol. Res. 12(4):
- 2013.December.11.1
- DOI:
- 10.4238/2013.December.11.1
Using SCC8, SCF27 and VMC7f2 markers in grapevine breeding for seedlessness via marker assisted selection
Authors: M. Akkurt, A. ��ak�±r, M. Shidfar, B.P. ��elikkol and G. S�¶ylemezo��lu
We used molecular markers associated with seedlessness in grapes, namely SCC8, SCF27 and VMC7f2, to improve the efficiency of seedless grapevine breeding via marker assisted selection (MAS). DNA from 372 F1 hybrid progeny from the cross between seeded “Alphonse Lavallée” and seedless “Sultani” was amplified by PCR using thre.. Read More»
- Genet. Mol. Res. 11(3):
- 2012.August.13.2
- DOI:
- 10.4238/2012.August.13.2
Relationships between four measures of genetic distance and breeding behavior in spring wheat
Authors: G. Benin, G. Matei, A. Costa de Oliveira, G.O. Silva, T.R. Hagemann, C. Lemes da Silva, E.S. Pagliosa and E. Beche
We estimated the genetic distances among 10 spring wheat genotypes based on pedigree data, morphological traits and AFLP markers, used individually and combined with morphological traits, to find the best predictors of general- and specific-combining abilities among parental genotypes. Ten wheat parents were crossed in a diallel form, disregarding recipro.. Read More»
- Genet. Mol. Res. 11(3):
- 2012.June.15.3
- DOI:
- 10.4238/2012.June.15.3
Genetic association of productive and reproductive traits with stayability in Nellore cattle: analysis using Bayesian models
Authors: E.C.A. Rizzo, F.R.A. Neto, I.D.P.S. Diaz, M.M. Dias, R.B. Costa, H.T. Ventura, H.N. Oliveira and A.J.S. Falc�£o
We evaluated the genetic association of growth traits [weight adjusted to 205 days of age (W205), 365 days of age (W365), and 550 days of age (W550); weight gain between 205 days of age and 365 days of age (WG1) and between 365 days of age and 550 days of age (WG2)] and reproductive traits [age at first calving (AFC); first ca.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.November.24.3
- DOI:
- 10.4238/2015.November.24.3
Growth curves of carcass traits obtained by ultrasonography in three lines of Nellore cattle selected for body weight
Authors: C.C. Coutinho1, M.E.Z. Mercadante2, A.M. Jorge1, C.C.P. Paz2, L. El Faro2 and F.M. Monteiro2
The effect of selection for postweaning weight was evaluated within the growth curve parameters for both growth and carcass traits. Records of 2404 Nellore animals from three selection lines were analyzed: two selection lines for high postweaning weight, selection (NeS) and traditional (NeT); and a control line (NeC) in which animals were selected for pos.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.October.29.27
- DOI:
- 10.4238/2015.October.29.27
Genetic parameters for milk production traits and breeding goals for Gir dairy cattle in Brazil
Authors: M.A. Prata, L.E. Faro, H.L. Moreira, R.S. Verneque, A.E. Vercesi Filho, M.G.C.D. Peixoto and V.L. Cardoso
To implement an animal breeding program, it is important to define the production circumstances of the animals of interest to determine which traits of economic interest will be selected for the breeding goal. The present study defined breeding goals and proposed selection indices for milk production and quality traits of Gir .. Read More»
- Genet. Mol. Res. 14(4):
- 2015.October.19.2
- DOI:
- 10.4238/2015.October.19.2
Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods
Authors: L.B. Sousa, O.T. Hamawaki, A.P.O. Nogueira, R.O. Batista, V.M. Oliveira and R.L. Hamawaki
In the final phases of new soybean cultivar development, lines are cultivated in several locations across multiple seasons with the intention of identifying and selecting superior genotypes for quantitative traits. In this context, this study aimed to study the genotype-by-environment interaction for the trait grain yield (kg/.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.October.19.10
- DOI:
- 10.4238/2015.October.19.10
Proposed method for dimensionality reduction based on framework in gene expression domain
Authors: D.C. Macedo, E.C.M. Ishikawa, C.B. Santos, S.N. Matos, H.B. Borges and A.C. Francisco
The excessive use of attributes may affect the search for patterns and extraction of useful knowledge, because they harm the learning performance of algorithms in both speed and success rate. The use of dimensionality reduction methods is therefore an important alternative; however, these methods do not deal with the reduction of attributes in a specific .. Read More»
- Genet. Mol. Res. 13(4):
- 2014.December.12.21
- DOI:
- 10.4238/2014.December.12.21