Exemplos de uso de Blup em Inglês e suas traduções para o Português
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It is thought that Blup Blup last erupted in the Holocene.
Wells himself used the phrase in an ironic way in the novel The Bulpington of Blup 1932.
Its age, as its BLUP can't reach 100 until it's 10 years old.
They are dependent on the foal's parents,their genetic potential and their BLUP.
It plays a role in reproduction because the BLUP of the parents has an impact on the potential of the foal at birth.
To estimate the genetic parameters and selection of individuals, the selegen reml/blup software were used.
In chapter 3 the objective was to compare the blup methods, gblup and bayesr considering whether or not to genotype-environment interaction in multi-racial sheep.
The genetic potential of a horse is calculated according to the genetic potential and the BLUP of its parents.
There was agreement of the two methods investigated, GGE Biplot and REML/BLUP, regarding the identification of the best cowpea genotypes indicated for the conditions in Mato Grosso do Sul.
Estimates of the model were obtained from maximizing the log-likelihood function,partitioned by blup method, using the em algorithm.
The reml/ blup methodology was adopted, where the reml estimated the genetic parameters and the blup allowed the prediction of the genotypic values of the progenies.
The second objective was to compare combined selection methods and reml/blup delineation of different simulated half-sibs.
Estimates of variance components andgenetic parameters were performed by the method of restricted maximum likelihood reml/ blup.
In chapter 2 the objective of the work was to evaluate the quality of the genetic merit of predictions between blup and gblup methods in the presence of uncertainty in the data.
For the four types of designs presented in the work there is a specific constant,which adjusts the output generates by the package correcting the the genetic values predicted by blup.
Thus, it is highlighted thatthe two methods tested, GGE Biplot and REML/BLUP, were in agreement regarding the results for indicating the best genotypes, which has been observed by as well.
We considered four mass selection strategies: vigor rating scale(visual),phenotypic means, blup means and by chance no selection.
Recently, the GGE Biplot and REML/BLUP methods have been used separately to investigate the GE interaction in different cultures, but there are no reports of their use for the cowpea.
Various methodologies have been implemented mostly using linear regression andconsidering the effects of fixed markers blup, ls, etc.
The mixed-model approach, REML/BLUP, provides results that are interpreted directly as a genotypic values, already capitalized or penalized by the stability and adaptability estimates.
After detecting a significant GE interaction, adaptability andphenotypic stability of cowpea genotypes were estimated by the GGE Biplot and REML/BLUP methods.
Therefore, the objective of this study was to investigate the application of blup and single step genomic blup(ssgblup) under different scenarios of uncertain paternity, using simulated and real data in beef cattle population.
The BRS-Tumucumaque and BRS-Guariba cultivars had the best genotypic values across the environments andthe average environment according to the REML/BLUP analysis Table 3.
Genomic prediction was performed using the mixed model blup considering different genomic relationship and similarity in state coefficients to predict the effect of general and specific combining abilities of the parents.
The objective of this work was to study the change of adaptability and stability standards in the selection process andpropose a new recommendation method for genotypes based on blup predictions.
Thus the present study aims to compare the estimates of selection gain using five different selection methods(blup, within, among and within, optimized blup and combined selection) and genetic diversity for the populations studied rubber.
For the selection of superior genotypes, production data of 140 chestnut trees in thirteen years for the filipinas and175 chestnut trees in six years for the cachoeira were analyzed in the selegen-reml/ blup software.
The REML/BLUP analysis allows considering the correlated errors within sites/locals and the stability and adaptability in the selection of superior genotypes, provides breeding values with instability already discounted, and can be applied to any number of environments.
The researchers involved in the research are linked with research groups of Quantitative Genetic,Genomic Statistics and BLUP of Plant Breeding of UFV and Experimental Biometrics of UFPel.
The effect of GE interaction via REML/ BLUP was evaluated using the statistical model 54 of the Selegen-Reml/ Blup software, corresponding to y Xb+ Zg+ Wc+ e, where y, b, g, c and e correspond, respectively, to the data vectors of fixed effects means of blocks through the environments, effect of genotypes random, genotype× environment interaction random, and random errors; and X, Z and W are incidence matrices for b, g and c, respectively.