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Wysłany: Nie 19:22, 13 Lut 2011
Temat postu: Major genes in animal breeding Application _1261
Livestock Breeding Application of major genes
Experience and achievements related to the variance and the production test. Karlin, etc. The second category is made SEDA Act (StructureExploratoryDataAnalysis). These include several different measurement methods, foremost among which is the major gene index (MajorGeneIndex). The basic idea is that if groups are the major gene separation. Is an offspring of their parents should be more than the average deviation value of the descendants of his father and mother, the value of deviation from the geometric mean of difference. That 10-0.5 (s + d) 『/] (『 『omsIf the index is greater than 1, then Bishop of genetic effects. The law was first proposed by the Carmelli et al,
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, followed by Karlin, who studied in theory and research in human genetics has been applied. Famula further their application information on the calculation of livestock, and mixed-model method with the combination of UP,
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, with the individual's breeding value instead of the calculation of phenotypic observations, ROY,
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, who recently compared the different methods of detecting major gene effect that is greater than in the male livestock 2o time, Famula class testing method has some validity,
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, since the method is simple, sensitive to the existence of major genes, so as a test group main effect genes have the primary method is appropriate. The third category is ELSTON, etc. Separation and analysis of proposed method (SagregationAnalysis). The basic principle is to make some assumptions on the genetic model (such as multiple minor gene model, multiple minor gene mixed model of major gene), and calculated in different models like the observation data likelihood function, by comparing the different models the likelihood function value under the inferred major gene groups, there is the fourth class of linkage analysis' IJinkageAnalysis). use of marker genes (Marker) and quantitative trait loci of Beijing Agricultural College 92, 12 chain to determine the volume the size of QTL effects. In recent years the level of the DNA found on a large number of polymorphic marker DNA restriction endonuclease fragment length polymorphism (RFLP) for the method has opened up broad prospects for application,
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, but in general that is limited to theoretical discussion, and no reports of the practical application of modern breeding theory .4 Summary. animal has not yet reached the limits of the major economic traits, the traditional livestock breeding of major economic traits, performance, plays a huge role in promoting improved. Genetic progress in milk yield can reach 100kg / year or an annual increase rate of 10. Similarly, sheep, goats and pigs have also made considerable genetic progress. However, some economic traits, such as porcine reproductive performance and health traits made only limited genetic progress. and productive traits and adaptation traits have a certain degree of genetic antagonism, such as poor yield stress of dairy cattle, pig lean meat more than a certain limit causes stress and meat quality in decline. broiler abdominal fat over the pursuit of productivity lead to caused by deposition of a series of related reactions on reproductive traits. the traditional selection method is generally limited to easily measured traits, and significant economic value for feed conversion rate and reproductive traits, not only difficult to measure, but relatively low heritability. Thus, the traditional selection method can only produce an effect of additive genetic variation, while not dominant, and epistatic effects of using them. When the breeding goal is a negative correlation with genetic traits, the selection effect is often poor. the discovery of major genes that quantitative traits we have a new understanding of genetic mechanisms, should be more quantitative traits that affect the major gene, and fully. should be focused on the following areas: (1) Determination of major genes to explore possible ways to . (2) The presence of major genes genetic parameter estimation and breeding stock assessment methods. (3) explore the presence of major gene optimized breeding program.
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