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CN-122004169-A - Breeding method for improving continuous fertilization capability of chickens

CN122004169ACN 122004169 ACN122004169 ACN 122004169ACN-122004169-A

Abstract

The application relates to the technical field of poultry genetic breeding, and particularly discloses a breeding method for improving continuous fertilization capability of chickens. The method comprises the steps of constructing a hen individual physiological baseline and a hen semen quality baseline, dynamically evaluating hen reproduction steady state in an egg producing period, regulating microenvironment according to needs, synchronously updating hen semen quality, judging a breeding window period based on fertilization potential indexes, intelligently matching breeding by combining historical data, evaluating candidate offspring fertilization capacity in an early stage by using a prediction model, screening and constructing a new generation breeding population, and extracting key data daily to generate a data block hash certificate so as to ensure traceability. The method can be used for precisely breeding the good chicken variety, has the advantages of adapting to individual physiological differences, improving the breeding and breeding efficiency and guaranteeing the credibility of breeding data, and meanwhile, the standardization degree of the breeding process is high, and the variety improvement and upgrading of the large-scale chicken raising industry can be obviously assisted.

Inventors

  • HAN WEI
  • ZHU YUNFEN
  • ZHOU CHENGHAO
  • YIN JIANMEI
  • XUE QIAN

Assignees

  • 江苏省家禽科学研究所

Dates

Publication Date
20260512
Application Date
20260121

Claims (10)

  1. 1. A breeding method for improving continuous fertilization capability of chickens is characterized by comprising the following steps: S1, establishing an individualized physiological baseline, namely selecting a continuous environment stabilization period after a chicken flock is transferred into an egg laying house and before breeding begins, continuously collecting multidimensional physiological time sequence data of individual hens in the breeding flock, and establishing an individualized multidimensional physiological baseline for each hen based on the data; S2, dynamic physiological evaluation and steady-state regulation, namely, during an egg laying period, monitoring physiological data of a hen individual in real time, calculating the real-time deviation degree of the hen individual relative to a physiological baseline, outputting a steady-state score and a continuous fertilization potential index of the reproductive system of the individual through a first prediction model based on the real-time deviation degree, and recording parameters of the first prediction model; S3, intelligent breeding decision and execution, namely dynamically judging that the hen enters a breeding window period according to the continuous fertilization potential index of the hen individual, combining the real-time semen quality index of the hen individual when the hen individual is in the breeding window period, and recommending the cock or semen for the current hen in a matching way based on historical breeding effect data, and executing the breeding operation; S4, reverse breeding and generation iteration, namely constructing a second prediction model which correlates genome information, physiological mode, environmental data and continuous fertilization capacity phenotype based on individual full-dimension data accumulated in history, storing parameters of the second prediction model, and carrying out early prediction and simulation on the continuous fertilization capacity of candidate offspring by utilizing the second prediction model; S5, trusted data verification, namely extracting key characteristic values generated in the breeding process every day, packaging to generate data blocks, calculating hash values of the data blocks to verify the data blocks, and comparing the hash values when the authenticity of the data is required to be verified.
  2. 2. The breeding method for improving continuous fertilization ability of chickens according to claim 1, wherein in the step S1, the multidimensional physiological time sequence data at least comprises core body temperature data acquired at sampling intervals of 10-15min, three-dimensional activity data acquired at sampling intervals of 1min and aggregated through a 5-min window, puppet receiving gesture frequency and active feather combing frequency data obtained based on image recognition and behavior analysis, and heart rate variability index acquired by a photoplethysmography pulse wave sensor for 3-5min daily and extracted, wherein the continuous environment stability period is at least 7 days continuously, the environment temperature is maintained at 18-22 ℃, and the relative humidity is maintained at 50-65%.
  3. 3. The breeding method for improving continuous fertilization ability of chickens according to claim 1, wherein in the step S2, the calculation of the real-time deviation degree is specifically carried out by taking 24 hours as a sliding time window, calculating standardized deviation scores of observed values of all physiological indexes in the window relative to personalized baselines of the physiological indexes, wherein the deviation scores of all indexes form a real-time deviation degree vector, the steady state score of a reproductive system is a continuous value between 0 and 1, and the continuous fertilization potential index is a continuous value between 0 and 1.
  4. 4. A breeding method for improving continuous fertility of chickens according to claim 3, wherein in step S2, the triggering condition is that steady state score of individual reproductive system is reduced by more than 20% from the highest value in past 24h within 2h, and micro-environment temperature is higher than 24 ℃ or lower than 16 ℃, and the fine tuning comprises starting directional breeze with wind speed of 0.5-1.5m/S for 30-60min.
  5. 5. The method for breeding chickens with improved continuous fertilization ability according to claim 1, wherein in the step S3, the dynamic judgment rule of the breeding window period is that when the continuous fertilization potential index of the individual is maintained at a level greater than 0.8 for more than 3 hours continuously, the individual is judged to enter the breeding window period, and the breeding task performs priority ordering and scheduling according to the continuous fertilization potential index value of the individual within the window period.
  6. 6. A breeding method for improving continuous fertilization ability of chickens according to claim 1 is characterized by comprising the steps of S3, recommending cocks or semen for current hen matching based on historical mating effect data, specifically comprising the steps of calculating similarity of physiological state vectors of current hens and hen state vectors in mating records in a historical database, screening historical records with similarity being greater than 70%, selecting the record with the best continuous fertilization day from the screened records, analyzing characteristics of cocks or semen used by the record, and recommending 1-3 cocks according to real-time semen quality indexes of available cocks when the current hens are matched and recommended.
  7. 7. The method for breeding chickens with improved continuous fertilization ability according to claim 1, wherein in the step S4, the individual full-dimension data comprise physiological characteristic vectors, genotype data and environment data based on single nucleotide polymorphism chips and continuous fertilization ability phenotype values, wherein the physiological characteristic vectors, the genotype data and the environment data are collected by week in an egg laying peak period, and the second prediction model is a generation model capable of generating a predicted physiological mode and the continuous fertilization ability phenotype values according to an input genome, a historical physiological mode and a hypothetical environment.
  8. 8. A breeding method for improving continuous fertilization ability of chickens according to claim 1 is characterized in that in the step S4, the continuous fertilization ability of candidate offspring is predicted and simulated early, specifically, the candidate offspring is simulated based on family information of the candidate offspring at the age of 8 weeks, a second prediction model of parents is called, simulation is conducted under at least three assumed environmental pressure scenes to obtain predicted physiological responses of the parents, and the simulated genome of the candidate offspring and characteristics extracted from the predicted responses of the parents are synthesized to predict continuous fertilization potential index curve characteristics and continuous fertilization days of the candidate offspring under the assumed environmental scenes.
  9. 9. The method for improving continuous fertilization ability of chicken according to claim 8, wherein in step S4, the individual standard for screening according to the early prediction result is that under the assumption environment scene of more than 50%, the predicted average continuous fertilization potential index is more than 0.75, and the predicted continuous fertilization days are more than 10% higher than the average value of candidate generation population to which the individual standard belongs.
  10. 10. The method for breeding hens with improved continuous fertilization ability according to claim 1, wherein in the step S5, the key characteristic values at least comprise core body temperature, heart rate variability, real-time cock semen quality index, first prediction model parameters, second prediction model parameters, mating combination information and henhouse environment temperature and humidity data.

Description

Breeding method for improving continuous fertilization capability of chickens Technical Field The application relates to the technical field of poultry genetic breeding, in particular to a breeding method for improving the continuous fertilization capability of chickens. Background In the large-scale chicken raising industry, the continuous fertilization capability of chickens directly influences the fertility rate, the hatching rate and the raising economic benefit of hatching eggs, and is one of the core targets of variety breeding. The existing breeding method for improving the continuous fertilization capability of chickens is mostly based on group unified indexes for screening, and the breeding direction is determined and generation iteration is carried out by monitoring macroscopic data such as semen quality, egg yield, fertilization rate and the like of the whole chickens. The method has the core effects of primarily screening out individuals with relatively good fertilization capacity, guaranteeing the basic culture production requirements and being suitable for variety improvement in the traditional rough culture mode. Along with the improvement of the cultivation industry to precision and intellectualization, the defects of the existing breeding method are more remarkable that no dedicated evaluation standard is established for individual physiological differences, excellent individual misjudgment or bad individual screening omission is easily caused only by relying on uniform standards of groups, dynamic monitoring and active regulation and control on individual reproduction states are lacking, influence of environmental fluctuation on reproduction functions is difficult to cope, the whole-flow data breeding lacks a trusted evidence storage mechanism, and data authenticity and traceability cannot be guaranteed. The core technical problem that produces from this is that the current method breeds precision and stability inadequately, can't satisfy the demand that accurate breeding was to individual difference adaptation, dynamic regulation and control and data credibility, has restricted the improvement of chicken continuous fertility breeding efficiency. Disclosure of Invention The application provides a breeding method for improving the continuous fertilization capability of chickens, which aims to solve the problems of insufficient breeding accuracy and stability of the continuous fertilization capability of chickens in the prior art. A breeding method for improving continuous fertilization capability of chickens comprises the following steps: S1, establishing an individualized physiological baseline, namely selecting a continuous environment stabilization period after a chicken flock is transferred into an egg laying house and before breeding begins, continuously collecting multidimensional physiological time sequence data of individual hens in the breeding flock, and establishing an individualized multidimensional physiological baseline for each hen based on the data; S2, dynamic physiological evaluation and steady-state regulation, namely, during an egg laying period, monitoring physiological data of a hen individual in real time, calculating the real-time deviation degree of the hen individual relative to a physiological baseline, outputting a steady-state score and a continuous fertilization potential index of the reproductive system of the individual through a first prediction model based on the real-time deviation degree, and recording parameters of the first prediction model; S3, intelligent breeding decision and execution, namely dynamically judging that the hen enters a breeding window period according to the continuous fertilization potential index of the hen individual, combining the real-time semen quality index of the hen individual when the hen individual is in the breeding window period, and recommending the cock or semen for the current hen in a matching way based on historical breeding effect data, and executing the breeding operation; S4, reverse breeding and generation iteration, namely constructing a second prediction model which correlates genome information, physiological mode, environmental data and continuous fertilization capacity phenotype based on individual full-dimension data accumulated in history, storing parameters of the second prediction model, and carrying out early prediction and simulation on the continuous fertilization capacity of candidate offspring by utilizing the second prediction model; S5, trusted data verification, namely extracting key characteristic values generated in the breeding process every day, packaging to generate data blocks, calculating hash values of the data blocks to verify the data blocks, and comparing the hash values when the authenticity of the data is required to be verified. By adopting the technical scheme, an individuation physiological baseline and a cock semen quality baseline are built before a chicken flock is transferred