A Method of Establishing a Mathematical Model for Assessing the Fertilization Ability of Large White Boars
A technology for fertilization ability and large white boars, which is applied in the fields of electric digital data processing, special data processing applications, instruments, etc., can solve the problem of inability to accurately assess the fertilization ability of boars, and achieve the effect of reliable coefficient and prediction accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2018-10-12
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Abstract
Description
technical field
[0001] The invention belongs to the technical field of animal genetics, breeding and reproduction, and more particularly, the invention relates to a method for establishing a mathematical model for evaluating the fertilization ability of large white boars. Background technique
[0002] The production indicators such as the farrowing rate, litter size, litter number of live litter, and the number of contributed piglets per parity of mated sows are the ultimate standards to measure the fertilization ability of boars. boar semen quality. In production, boar semen quality is mainly determined by visual inspection and microscopic examination. Among them, the visual inspection mainly observes the ejaculate volume, semen color, odor and pH and other indicators. The single ejaculation volume of boars is 200-300mL, which is gray or milky white, and has a special fishy smell, and the pH value is 6.9-7.5; It mainly includes sperm density, sperm motility, sperm movemen...
Examples
Embodiment 1
[0038] Example 1 A method for establishing a mathematical model of fertilization ability of large white boars
[0039] see figure 1 , the technical roadmap for establishing the mathematical model of fertilization ability of large white boars of the present embodiment, the method for establishing the mathematical model of fertilization ability of large white boars of the present embodiment, including the following specific steps:
[0040] 1) Selection of predictors
[0041] Eighteen variables that can reflect the fertilization ability of boars were selected as predictors of the analysis model, including the farrowing rate (FR), the litter size (LS), and the number of live litter (Number of litter). Bornalive, NBA), Number of dead piglets (NDP), Number of qualified piglets (NQP), Number of abnormal piglets (Number of abnormal piglets) , NAP), Number of stillborn piglets (NSP), Number of weak piglets (NWP), Number of mummified piglets (NMP) ), piglet birth weight (Average pigl...