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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Douglas Scott Falconer

More details of this method are given by Martins et al. However, this second option steel keeps the genetic effects biased by the fixed effects, as characterized by the BLP Best Linear Predictor methodology. In the majority of cases the expected gains are overestimated, which was also shown for this population by Arriel et al. Introduccion a la Genetica Cuantitativa. According to Hendersonthe BLUP of g is defined as the regression coefficient of the genetic values g in function of cuantiattiva observations y corrected for the fixed effects Xb.

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The BLUP determination for selection among half-sib progenies adapted to mixed model methodologies, revised by Martins et al. John Wiley and Sons, New York, pp. Persistent cookies are stored on your hard disk and have a cuantltativa expiry date. This doesn’t mean that anyone who uses your computer can access your account information as we separate association what the cookie provides from authentication.

As in the first three cycles, selection was based on the means over the intoduccion to improve cuantitatvia genetic adaptability of the population, including those with lower densities, by giving priority to prolificacy.

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However, the existing relationship among different HSP derived from the same half-grandmother was not sufficient to differentiate the gains from the two methodologies.


Cookies come in two flavours – persistent and transient. Table IV also introduccoon that the BLP selected a greater number of progenies stemming from the same ancestor, totaling 11 different maternal half-grandmothers. However, the indication of a reduction in the effective size of the population caused by an imbalance in the contribution of the selected progenies, as shown by the pedigree structure, draws attention to the problem of cuantitativva increase in the level of inbreeding.

P and Ramalho, M. Success in genetic breeding is mainly dependent on the selection method used. The seeds of the HSP assessed in these experiments were obtained from the harvest of the 10 best plants selected within each of the 20 female rows, in an isolated recombination plot from remnant seeds of the HSP selected by Arriel et al.

If you have persistent cookies enabled as well, then we will be able to remember you across browser restarts and computer reboots. Table II – Twenty half-sib progenies HSP selected on the basis of phenotypic value, in decreasing order averages adjusted for corn ear weight.

Among known methods, selection among and within half-sib progenies SAWHSP is one of the most used for maize because of its proven efficiency along with its easy handling and simplicity in estimating genetic parameters Paterniani and Miranda Filho, Please click the link in that email to activate your subscription.

Among these are BLUP best linear unbiased predictorwhich classifies individuals submitted to selection using a function of the observed data and a matrix of genetic and residual variances and covariances of previously known traits Henderson, Best linear unbiased estimation and prediction under a selection model. These kinship coefficients were estimated for half-sib progenies, with remnant seeds, based on the following expressions: For example, at loot.

On the other hand, it can be seen that the BLP was influenced by extreme phenotypic values, because it distributes this influence equally to all the progenies of the same family.

One should continue with the same structure of the modified Irish method, shown in Figure 1but with a balanced mixture of seeds from ears selected within the female row used for recombination, to sow the female rows. Expected and realized gains in the CMS maize population after three cycles of half-sib family selection.


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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. Using the best linear intrroduccion BLP in the selection between and among half-sib progenies of the CMS maize population. Let’s connect Contact Details Facebook Twitter.

When the expiry date is reached your computer deletes the cookie. With large h 2 the phenotypic value is a good predictor of the genetic value. Thus, the gain of selection GS obtained with al BLP is the selection differential SD among the means of the genetic values of the selected progenies in relation to all the assessed ones. Figure 1 – Field scheme for half-sib progeny HSP recombination with simultaneous falvoner of new progenies.

This genealogical structure is disregarded in the original methodology quoted by Paterniani and Miranda Filhobased on two assumptions.

Sire evaluation and genetic trends.

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Table IV shows the selected progenies. The SAWHSP methodology was efficient in isolating the additive genetic variance component from the phenotypic component. How to cite this article. In both cases you should know how to switch cookies back on! Please refer to our privacy policy for more information on privacy at Loot.

The SAWHSP method was shown to be efficient in the isolation of the additive genetic variance component from the phenotypic variance. This shows that as the genetic variance increases in relation to the residual variance, the BLP tends to select the same individuals that would be selected falconwr on greater phenotypic values.

Sufficient genetic variability was observed in the fourth selection cycle of the CMS population allowing the continuation of the breeding program, with an expected gain of 9.