Mathematic model for evaluating fertilization capacities of duroc boars and establishment model thereof
A technology of fertilization ability and mathematical model, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to accurately evaluate boar fertilization ability, and achieve reliable coefficient and prediction accuracy
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2015-11-25
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the technical field of animal genetics, breeding and reproduction. More specifically, the invention relates to a mathematical model for evaluating the fertilization ability of Duroc boars and a method for establishing the same. Background technique
[0002] Production indicators such as farrowing rate, litter size, litter live piglets, and piglets per parity contribution of participating sows are the ultimate standards to measure the fertilization ability of boars, and the long-term actual pig production mainly depends on boar semen quality was assessed. In production, the quality of boar semen is mainly judged by visual inspection and microscopic inspection. Among them, the naked eye inspection mainly observes the ejaculate volume, semen color, smell, pH and other indicators. The single ejaculate volume of boars is 200-300mL, which is off-white or milky white and has a special fishy smell. The pH value is 6.9-7.5; It mainly ...
Examples
Embodiment 1
[0039] Embodiment 1 A method for establishing a mathematical model of Duroc boar's fertilization ability
[0040] see figure 1 , is the technical roadmap of establishing the mathematical model of the Duroc boar's fertilization ability in this embodiment, and the establishment method of the Duroc boar's fertilization ability mathematical model of the present embodiment includes the following specific steps:
[0041] 1) Selection of predictor variables
[0042] 18 variables that can reflect the fertilization ability of boars were selected as the predictive variables of the analysis model, including farrowing rate (FR), litter size (LS), and number of born alive (NBA). , Number of dead piglets (NDP), number of healthy piglets (newborn piglets weighing more than 1.00kg) (Number of qualified piglets, NQP), number of deformed piglets (Number of abnormal piglets, NAP), number of stillborn piglets (NSP) , Weak piglets born in litter (Number of weak piglets, NWP), Number of mummified...