Introduccion a la Genetica Cuantitativa by D. S. Falconer at – ISBN – ISBN – ACRIBIA – – Softcover. DownloadIntroduccion a la genetica cuantitativa falconer pdf. PDF 5. Quarantine 13A 57EF exe C WINDOWS Temp NavBrowser. Introduccion a. Introduccion a La Genetica Cuantitativa Falconer PDFThis action might not be possible to undo. Are you sure you want to continue?.
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The correction of the progeny phenotypic values in function of the design was carried out by adjusting the lattice means. Introdhccion lack of agreement is partially due to the fact that the estimates of the expected gains are based on phenotypic values, which suffer from environmental influences and from genotype x environment interaction.
The pedigree system, although unnecessary for the routine use of the SAWHSP methodology, allowed the prediction of an increase in the inbreeding of the population in the long term SAWHSP selection when recombination is simultaneous to creation of new progenies. Several methods have been suggested and modified in recent years for greater selection efficiency using the statistical properties most suitable for different experimental situations.
Sometimes, we also use a cookie to keep track of your trolley contents. Email address subscribed successfully. An inverse relation of To estimate the genetic value without inverting the variance and cuantitativw matrices of the observed data, a time-consuming computer operation, since this matrix is frequently non-diagonal and very large, Henderson proposed an alternative computer method using mixed model equations for obtaining the BLUP.
Sufficient genetic variability was observed in the fourth selection cycle of the CMS population allowing fslconer continuation of the breeding program, with an expected gain of 9.
Introduccion a la Genetica Cuantitativa
As in the first three cycles, selection was based on the means over the environments to improve the genetic introdhccion of the population, including those with lower densities, by giving priority to prolificacy. However, the existing relationship among different HSP derived from the same half-grandmother was not sufficient to differentiate the gains from the two methodologies.
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Subscribe to our newsletter Some error text Name. This fact was observed with the HSP numbered in experimentthe adjusted mean of which, far superior to the others, contributed to the selection of other HSP of the family, even when they had lower phenotypic values than other discarded HSP. A negative correlation of The SAWHSP method was shown to be efficient in the isolation of the additive genetic variance component from the phenotypic variance.
This may be seen in the reduction of the number of old progenies in the pedigree of the new selected progenies, which in experiments, and was 13, 9, 9 and 8, respectively. The modified Irish method was used Figure 1 for recombination with simultaneous creation of new HSP, keeping track of the female rows old progenies to establish a pedigree relationship among the cuuantitativa and old progenies.
The best progenies are selected based on the estimated genetic vector. Similarly, when the kinship was considered in the joint analysis, the genetic gains were close genstica. This fact was minimized when the discrepant value was arbitrarily substituted by a measurement nearer to the mean of the family data not shown.
These kinship coefficients were estimated for half-sib progenies, with remnant seeds, based on the following expressions: The SAWHSP methodology was efficient in isolating the additive genetic variance component from the phenotypic component.
The pedigree system, although unnecessary for HSP selection, allowed the prediction of an increase in the rate of inbreeding in the long term with the originally proposed scheme, when recombination is simultaneously carried out with the creation of new progenies.
Sire evaluation and genetic trends.
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With large h 2 the phenotypic value is a good predictor of the genetic value. The literature has often presented different results among the expected gains and the observed gains from selection.
Let’s connect Contact Details Facebook Twitter. However, the estimates of gain obtained by the BLP were fairly similar to those obtained based on the phenotypic values, showing that the genetic values seem to be under the same influences mentioned by Arriel et al.
This difference was attributed to the genotype x environmental interaction, whose component was large in the three cycles, being larger than the estimate of genetic variance among the HSP in this cycle Table I. No supplementary irrigation was used. We never store sensitive information about our egnetica in cookies.
Introduccion a la Genetica Cuantitativa : D S Falconer :
Table I shows the individual and joint variance analyses for the four environments, where the importance of the genotype x environment interaction is apparent. These kinship coefficients were estimated for half-sib progenies, with remnant seeds, based on the following expressions:. This genealogical structure is disregarded in the original methodology quoted by Paterniani and Miranda Filhobased on two assumptions.
The influence of the genotype x environment interaction when selection was made considering the environments individually was evident, and some superior progenies in a given environment were not selected in others.