Method for improving poultry production efficiency by rapidly evaluating liver weight and liver-to-body ratio
A technology of production efficiency and poultry, applied in the field of poultry breeding, can solve the problems of expensive B-type ultrasonic detector, the inability to directly quantify the weight of the liver, and the poultry's difficulty in accepting security quietly, so as to avoid difficult to grasp accurately and reduce arrest and Baoding stress, the effect of high determination coefficient
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Embodiment 1
[0023] 1. Establish a regression equation for estimating liver weight in vivo
[0024] (1) Select Rugao yellow chickens as the modeling group, at 4 time points of 18 weeks, 22 weeks, 28 weeks, and 36 weeks, randomly select 12 chickens at each time point, and weigh them; Blood was collected intravenously, anticoagulated, and plasma was collected for testing or frozen at -20°C until use; the weight of the liver was weighed.
[0025] (2) Determining the total cholesterol content in the blood of each sample, the results are shown in Table 1, and then using the curve evaluation regression method to perform curve fitting on the above-mentioned blood biochemical index total cholesterol content and the weight of the liver that has been weighed, and establish a regression equation y=-0.274x 2 +6.942x+19.327 (where R 2 =0.901, x is the content of total cholesterol in individual sample blood, unit is mmol / L), and t test shows that the P values of partial regression coefficients -0.27...
Embodiment 2
[0040] 1. Selection of blood biochemical indicators when establishing a regression equation for liver weight estimation in vivo
[0041](1) Select Rugao yellow chickens as the modeling group, at 4 time points of 18 weeks, 22 weeks, 28 weeks, and 36 weeks, randomly select 12 chickens at each time point, and collect blood through wing veins, Perform anticoagulant treatment, collect plasma directly for testing or freeze at -20°C for later use;
[0042] (2) Determination of ALT (U / L), AST (U / L), total cholesterol (mmol / L), triglyceride (mmol / L) in the blood of each sample, and correlate with liver weight and liver body ratio respectively analysis, linear regression analysis and curve estimation.
[0043] (3) The correlation analysis between ALT and liver weight did not reach significance (correlation coefficient was -0.180, P=0.220), so it was eliminated.
[0044] The correlation analysis between AST and liver weight did not reach significance (correlation coefficient was 0.314,...
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