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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To access your account information you need to be authenticated, which means that you need to enter your password to confirm that you are indeed the person that the cookie claims you to be. This implies that greater cuantitativq with the effective size of the population must be taken with this method.
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, For example, in the experiment Table II the old progeny number 34 contributed four new progenies, when it was expected to contribute only one. Send correspondence to C. 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, The pedigree analyses of the selected HSP in the fourth among progeny selection cycle Tables II and III show that truncated selection caused an imbalance in the expected frequency of new and old progenies.
There are several examples in the literature which show gains from truncated selection for yield in various maize populations.
This may result in a reduction in the effective size of the population in the more advanced selection generations and consequently in an increase in inbreeding. The joint analysis of the four environments was used to select the 20 HSP which were recombined in the summer of 93 to produce, simultaneously, new progenies to start the fifth cycle of SAWHSP in the CMS population. For the male rows a balanced mixture of seeds from the ears of all new HSP should be used.
Statistical Genetics and Plant Breeding. Introduccion a la Genetica Cuantitativa. Thus, the gain of selection GS obtained with the BLP is the selection differential SD among the means of the genetic values of the selected progenies in relation to all the assessed ones. Several methods have been suggested and modified in recent years for greater selection efficiency using the statistical properties most suitable for different experimental situations.
The pedigree system, although unnecessary for the routine use of the SAWHSP methodology, allowed the prediction of an increase in the inbreeding of the cuantiativa in the long term SAWHSP selection when recombination is simultaneous to creation of new progenies.
In the majority of cases the expected gains are overestimated, which was also shown for this population by Arriel et al.
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Cookies come in two flavours – persistent and transient. On the other hand, when dealing with genetic values, this should not happen and the expected gains should be nearer the observed gains.
When the relationship among progenies descending from the same half-grandmother was discounted for the HSP selection by the BLP methodology, i. As in the first three cycles, selection was based on the means over the environments to improve the genetic adaptability of the population, including those with lower densities, by giving priority to prolificacy.
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Table IV also shows that the BLP selected a greater number of progenies stemming from the same ancestor, totaling 11 different maternal half-grandmothers. Services on Demand Journal. In other words, the BLP conferred greater importance to the mean of the related progenies with the same half-grandmother than to the means of the isolated HSP, a process that results in the screening out of the high mean progenies descending from low mean families, which would be selected based on their phenotype.
With large h 2 the phenotypic value is cuantihativa good predictor of the genetic value.
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Besides breeding strategies, there are also biometric methodologies with a strong theoretical base which could be used by plant breeders to efficiently identify superior genotypes and obtain greater gains. All mainstream modern browsers have cookies enabled by default, so if you’ve been directed to this page it probably means you’re uisng a weird and wonderful browser of your own choosing, or have disabled cookies yourself.
This also occurred in the previous selection cycles Aguiar, ; Pacheco, ; Arriel, In these cuaantitativa, it was shown that the original SAWHSP, quoted by Paterniani and Miranda Filhois an efficient method, even when the relationship of the selected progenies is not considered. The realized gain estimated by Arriel et al.
More details of this method are given by Martins et al. This difference was attributed to the genotype x environmental interaction, whose component was large in the three cycles, being larger than the cuxntitativa of genetic variance among the HSP in introdudcion cycle Table I. Selection based on the phenotypic value, however, resulted in 15 different ancestors as noted by the pedigree.
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According to Hendersonthe L of g is defined as the regression coefficient of the genetic values g in function of the observations y corrected for the fixed effects Xb. How to cite this article. These kinship coefficients were estimated for half-sib progenies, with remnant seeds, based on the following expressions: No supplementary irrigation was used.
Sufficient genetic variability was observed in the fourth selection cycle of the CMS population allowing the continuation of the breeding program, with infroduccion expected gain of 9. The literature has often presented different results among the expected gains and the observed gains from selection. Sire evaluation and genetic trends. 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 genetuca for recombination, to sow the female rows.
Best linear unbiased estimation and prediction under a selection model.