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Blup

Human Genetics   Research Article

Phenotypic and predicted genetic approaches for genotype ranking of wheat seed yield in Brazil

Authors: V.J. Szareski, I.R. Carvalho, K. Kehl, A.M. Levien, T.C. da Rosa, M.H. Barbosa, G.H. Demari, J.R. Pimentel, C. Troyjack, V.Q. de Souza, E.G. Martinazzo,F.A. Villela, T. Ped�³ and T.Z. Aumonde

This work was aimed at determining stability and adaptability through Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype Main Effects and Genotype Environment Interaction (GGE) methodologies, as well as to estimate and predict Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) param.. Read More»

Genet. Mol. Res. 17(3):
http://dx.doi.org/gmr18026
DOI:
http://dx.doi.org/10.4238/gmr18026
Human Genetics   Research Article

Relevance of Additive and Nonadditive Genetic Relatedness for Genomic Prediction in Rice Population under Recurrent Selection Breeding

Authors: Odilon P. Morais J�ºnior, Jo�£o Batista Duarte, Fl�¡vio Breseghello, Alexandre S. G. Coelho, Tereza C. O. Borba, Jordene T. Aguiar, P�©ricles C. F. Neves, and Orlando P. Morais

In genomic recurrent selection programs of self-pollinated crops, additive genetic effects (breeding values) are effectively relevant for selection of superior progenies as new parents. However, considering additive and nonadditive genetic effects can improve the prediction of genome-enhanced breeding values (GEBV) of progenie.. Read More»

Genet. Mol. Res. 16(4):
gmr16039849
DOI:
10.4238/gmr16039849
Plant Genetics   Research Article

Selection of Jatropha full-sib families based on genotypic adaptability and stability via mixed models

Authors: E.V. Rodrigues, P.E. Teodoro, L.A. Peixoto, L.A. Silva, B.G. Laviola and L.L. Bhering

The objectives of this study were to estimate the genetic parameters for Jatropha full-sib families and to select superior genotypes based on grain yield, adaptability, and stability simultaneously to be used for cloning and crossings. Grain yield was evaluated in thirteen full-sib families in a randomized block design for 5 y.. Read More»

Genet. Mol. Res. 16(3):
gmr16039722
DOI:
10.4238/gmr16039722
Plant Genetics   Research Article

Estimates of genetic parameters and genotypic values prediction in maize landrace populations by REML/BLUP procedure

Authors: D. Baretta, M. Nardino, I.R. Carvalho, A.J. de Pelegrin, M. Ferrari, V.J. Szareski, W.S. Barros, V.Q. de Souza, A.C. de Oliveira and L.C. da Maia

Lung cancer is the leading cause of cancer death in men and the second leading cause of cancer death in women worldwide. Fascin-1 and laminin-5 were associated with the invasiveness and prognoses of several cancers. The expression and the serum levels of fascin-1 and laminin-5 in patients with non-small cell lung cancer (NSCLC.. Read More»

Genet. Mol. Res. 16(2):
gmr16029715
DOI:
10.4238/gmr16029715
Human Genetics   Research Article

Potential use of molecular markers for prediction of genotypic values in hybrid maize performance

Authors: M. Balestre, R.G. Von Pinho, J.C. Souza and R.L. Oliveira

We evaluated the potential of genetic distances estimated by microsatellite markers for the prediction of the performance of single-cross maize hybrids. We also examined the potential of molecular markers for the prediction of genotypic values and the applicability of the Monte Carlo method for a correlation of genetic distanc.. Read More»

Genet. Mol. Res. 8(4):
vol8-4gmr644
DOI:
10.4238/vol8-4gmr644
Human Genetics   Research Article

Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis

Authors: M. Balestre, R.G. Von Pinho, J.C. Souza and R.L. Oliveira

We evaluated the phenotypic and genotypic stability and adaptability of hybrids using the additive main effect and multiplicative interaction (AMMI) and genotype x genotype-environment interaction (GGE) biplot models. Starting with 10 single-cross hybrids, a complete diallel was done, resulting in 45 double-cross hybrids that .. Read More»

Genet. Mol. Res. 8(4):
vol8-4gmr658
DOI:
10.4238/vol8-4gmr658
Plant Genetics   Research Article

Selection between and within full-sib sugarcane families using the modified BLUPIS method (BLUPISM)

Authors: R.D. Castro1, L.A. Peternelli1, M.D.V. Resende2, C.D. Marinho1, P.M.A. Costa1, M.H.P. Barbosa3 and E.F.A. Moreira1

The objective of this study was to assess the efficiency of a modification of the simulated individual best linear unbiased prediction (BLUPIS) procedure, which is used for the approximation of classic individuals (BLUPI) for selection between and within sugarcane families. A total of 110 full-sib families were employed in an experiment initiated in 2007 .. Read More»

Genet. Mol. Res. 15(1):
gmr.15017334
DOI:
10.4238/gmr.15017334
Plant Genetics   Review Article

Potential of maize single-cross hybrids for extraction of inbred lines using the mean components and mixed models with microsatellite marker information

Authors: M. Balestre, R.G. Von Pinho, J.C. Souza and J.C. Machado

The present study examined the importance of mean (m+a’ and d) components in the performance of single-cross hybrids for the formation of new populations and determined the contribution of the mixed model (best linear unbiased predictor of random effects, BLUP) method associated with molecular markers for the choice of crosses to obtain interpopulat.. Read More»

Genet. Mol. Res. 7(4):
vol7-4gmr491
DOI:
10.4238/vol7-4gmr491
Plant Genetics   Research Article

Prediction of maize hybrid performance using similarity in state and similarity by descent information

Authors: D.V. Ferreira, R.G. Von Pinho, M. Balestre and R.L. Oliveira

We evaluated the efficiency of the best linear unbiased predictor (BLUP) and the influence of the use of similarity in state (SIS) and similarity by descent (SBD) in the prediction of untested maize hybrids. Nine inbred lines of maize were crossed using a randomized complete diallel method. These materials were genotyped with .. Read More»

Genet. Mol. Res. 9(4):
vol9-4gmr955
DOI:
10.4238/vol9-4gmr955
Bioinformatics   Research Article

Prediction of maize single-cross performance by mixed linear models with microsatellite marker information

Authors: M. Balestre, R.G. Von Pinho and J.C. Souza

We evaluated the potential of the best linear unbiased predictor (BLUP) along with the relationship coefficient for predicting the performance of untested maize single-cross hybrids. Ninety S0:2 progenies arising from three single-cross hybrids were used. The 90 progenies were genotyped with 25 microsatellite markers, with nin.. Read More»

Genet. Mol. Res. 9(2):
vol9-2gmr791
DOI:
10.4238/vol9-2gmr791