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Duck sebum character living body prediction method and application thereof

A technology for duck sebum and sebum, applied in the field of production and breeding of Peking duck, can solve the problems of single sebum thickness, unstable measurement, weak sebum evaluation ability, etc.

Active Publication Date: 2021-05-07
CHINA AGRI UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method also has some problems: the thickness of the sebum is relatively single, and the ability to evaluate the entire sebum is weak; the deviation between the measurement personnel and the measurement site during the measurement work will also lead to unstable measurement

Method used

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  • Duck sebum character living body prediction method and application thereof
  • Duck sebum character living body prediction method and application thereof

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Embodiment 1

[0038] A total of 620 Peking ducks were used for the first stage of feeding. The first stage of feeding lasted from the age of 1 day to 21 days. All ducklings wore QR code wing numbers to eliminate sick and weak ones. Among them, the ducklings from the 1st to the 10th day of age were reared on the high mesh bed, fed in groups, and fed freely on the ducklings, with 300 ducklings per pen and a density of 30 ducklings / square meter. The light is 24 hours. Drink water freely from waterline nipple drinkers. The temperature was 31 degrees on the first day, and the humidity was 60-70%. The temperature was gradually lowered every day until the temperature dropped to 26 degrees on the 10th day, and ventilation was performed. The 11th to 21st day-old ducklings were raised in a low-temperature brooding room, raised on a high mesh bed, fed in groups, and fed freely on duckling feed, 300 ducklings per pen, and the density was 10 ducklings / square meter. The light is 24 hours. Drink water ...

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Abstract

The invention relates to a duck sebum character living body prediction method and application thereof. The method comprises the following steps: feeding a batch of ducklings in stages, recording the weight and feed intake of each duck in each stage, calculating the residual feed intake and feed conversion rate of each duck after the feeding is completed, obtaining a body size index and a serum biochemical index of each duck, selecting a batch of ducks from the bred ducks as a to-be-detected group, slaughtering the ducks to obtain sebum traits of the ducks in the to-be-detected group, calculating a multiple linear regression equation of the sebum traits of the ducks by using statistical analysis software, and predicting the residual group sebum traits of the raised ducks by using the multiple linear regression equation. According to the method, the sebum traits of the live ducks can be quickly and accurately estimated, the elimination probability of excellent individuals in breeding is greatly reduced, and the breeding efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of production and breeding of Peking ducks; in particular, it relates to a method for in vivo prediction of duck sebum traits and an application thereof. Background technique [0002] The sebum trait is an important trait in Peking duck breeding, and it is also the characteristic of Peking duck. Higher sebum deposition is the key to making Peking duck with crispy skin and rich aroma. Therefore, the sebum trait has always been the key selection trait in the Peking duck breeding work, and the sebum weight and sebum rate are generally used as the breeding indicators. [0003] In the long-term breeding work, sibling selection based on slaughter determination is the most traditional determination method for sebum traits selection, but there are very big disadvantages: slaughtering live bodies brings a huge workload to the breeding work, is time-consuming and laborious, and at the same time will lose part of the g...

Claims

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Application Information

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IPC IPC(8): A01K67/02G16B5/00G06Q50/02
CPCA01K67/02G16B5/00G06Q50/02
Inventor 侯卓成丁思然李广胜
Owner CHINA AGRI UNIV
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