A multi-character selection method for livestock and poultry

Abstract

The invention relates to a multi-character seed selection method for livestock and poultry, comprising the following steps: determining the breeding target and breeding traits of the current breeding group according to the current strain, and determining the traits that need to be improved in the current generation; The observed value of each trait determines the elimination weight and the total number of elimination of each trait; the elimination order is determined according to the importance of each trait, and individuals are eliminated from the candidate population in turn according to the importance of the traits, and the traits with lower importance are eliminated first, and the importance Higher traits are lagged behind the elimination, and the traits that most need to be improved are taken as the last traits to be eliminated; after all the traits are eliminated, the final selected group is obtained; when the elimination is performed, different sexes are eliminated separately. Based on the experimental results of simulated seed selection, the invention determines the best seed selection sequence according to the weight value of each character, and greatly improves the breeding effect of key characters.

Description

technical field [0001] The invention relates to the technical field of livestock and poultry selection, in particular to a multi-character selection method for livestock and poultry. Background technique [0002] In order to meet the needs of end consumers, modern commercial livestock and poultry breeding often needs to breed multiple traits at the same time, which can reduce the risk of rapid changes in market demand faced by breeds. The multi-trait selection method can simultaneously select several traits in one generation, so as to obtain comprehensive genetic progress, and is a commonly used selection method in commercial livestock and poultry breeding. In actual breeding, the key breeding traits and general traits will be determined according to the actual situation. When multi-trait selection needs to balance the weight distribution among traits, it is very important for the future generations to achieve the expected genetic progress. Even for key traits, the eliminat...

AI Technical Summary

Problems solved by technology

Even for key traits, the elimination weight should not be too large, otherwise it will lead to limited selection of other traits, and ultimately affect the overall performance of the variety, which means that there is a certain degree of contradiction between the importance and weight of traits

The sequence of selection (elimination) of different traits during actual selection will also have a greater impact on the results, because different selection (elimination) sequences will cause inconsistent elimination ratios of traits, resulting in inconsistent selection of the traits, and finally lead to differences in offspring grades

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