AI Article Synopsis

  • The goal of selective breeding is to quickly assess the productivity of animal offspring to maximize profitability by identifying and managing high and low-producing calves effectively.
  • A systematic evaluation using genetic parameters and automated non-contact body measurement systems, like RGB-D image capture, enhances data accuracy while reducing collection time.
  • This study focused on black-and-white and Holstein cattle, using correlation analysis to link early live weight and body measurements to future meat productivity, aiding in better breeding decisions for improved livestock profitability.

Article Abstract

The main task of selective breeding is to determine the early productivity of offspring. The sooner the economic value of an animal is determined, the more profitable the result will be, due to the proper estimation of high and low productive calves and distribution of the resources among them, accordingly. To predict productivity, we offer to use a systematic assessment of animals by using the main genetic parameters (correlation coefficients, heritability, and regression) based on data such as the measurement of morphological characteristics of animals, obtained using the automated non-contact body measurement system based on RGB-D image capture. The usefulness of the image capture system lies in significant time reduction that is spent on data collection and improvement in data collection accuracy due to the absence of subjective measurement errors. We used the RGB-D image capture system to measure the live weight of mother cows, as well as the live weight and body size of their calves (height at the withers, height in the sacrum, oblique length of the trunk, chest depth, chest girth, pastern girth). Cows and cattle of black-and-white and Holstein breeds (n = 561) were selected as the object of the study. Correlation analysis revealed the main indices for the forecast of meat productivity-live weight and measurements of animals at birth. Calculation of the selection effect is necessary for planning breeding work, since it can determine the value of economically beneficial traits in subsequent generations, which is very important for increasing the profitability of livestock production. This approach can be used in livestock farms for predicting the meat productivity of black-and-white cattle.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951648PMC
http://dx.doi.org/10.3390/ani13040611DOI Listing

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