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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A01K67-02
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A01K67-02
filingDate 2019-11-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112753650-B
titleOfInvention A method for in vivo prediction of duck sebum traits and its application
abstract The invention relates to a method for predicting a living body of duck sebum traits and its application, comprising the following steps: feeding a batch of ducklings in stages, recording the body weight and feed intake of each duck in each stage, and calculating each duckling after the feeding is completed. The remaining feed intake and feed conversion rate of each duck were obtained, and the body size index and serum biochemical index of each duck were obtained. A batch of ducks was selected from the raised ducks as the population to be tested, and the population to be tested was obtained after slaughtering them. For the sebum traits of the ducks, statistical analysis software was used to calculate the multiple linear regression equation of the duck sebum traits, and the multiple linear regression equations were used to predict the sebum traits of the remaining population of raised ducks. The method provided by the invention can quickly and accurately estimate the sebum properties of live ducks, greatly reduces the elimination probability of excellent individuals in breeding, and greatly improves the breeding efficiency.
priorityDate 2019-11-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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