Method for predicating metabolizable energy level of pig diets by metabonomics technology
A metabolizable energy value and equation technology, which is applied in the field of predicting the metabolic energy level of pig diets, can solve the problems of slow progress, inability to operate recipes, and lack of establishment of dynamic regression prediction equations for plasma metabolic markers, so as to improve pig production efficiency. Effect
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Embodiment 1
[0055] Example 1. Effects of Different Dietary Metabolizable Energy Levels on Piglet Growth Performance
[0056] 1. Experimental animals
[0057] A total of 180 healthy Duroc×Landrace×Large White ternary growing pigs were selected for the test, with half male and half female. The average weaning age was 28 days, and the test officially started after one week of transition. The initial body weight of the experiment was 13.4±2.1kg. Based on the initial body weight, it was divided into 5 treatments according to the randomized block experimental design, each treatment had 6 repetitions, each pen was a repetition, and each repetition was 6 pigs. Male and female are kept separately.
[0058] 2. Feeding management
[0059] The all-in and all-out feeding management mode is adopted, the temperature of the pig house is controlled at 24-27°C, and the light program is 12h light / 12h dark. Each circle (1.5×3.0m 2 ) are equipped with 1 nipple drinker and 2 feeding troughs. Net bed feedi...
Embodiment 2
[0080] Example 2, Screening of dietary energy markers based on plasma metabolome profile
[0081] 1. Sample processing
[0082] The isolated piglet plasma sample in Example 1 was taken out from the -80°C refrigerator and then thawed on ice. Take 100 μL of plasma from each part, add 400 μL of metabolite extraction solution (mixed with methanol and acetonitrile at a volume ratio of 1:1), vortex and shake for 5 minutes, extract at -20°C for 1 hour, and centrifuge at 4°C and 13,000 rpm 10min. Carefully pipette 200 μL of the supernatant into a new centrifuge tube, blow dry with nitrogen at room temperature, and redissolve in 200 μL of 80% methanol solution. After shaking for 5 s, centrifuge again to take the supernatant, put it into a sample bottle, and perform high-performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry (HPLC Q-TOF MS) detection.
[0083] 2. Conditions for HPLC Q-TOF MS detection
[0084] Instruments: HPLC Q-TOF MS detection system...
Embodiment 3
[0114] Example 3. Establishment of the Prediction Equation for the Metabolizable Energy Level of Weaned Piglets' Diets
[0115] The purpose of this example is to find out the metabolic markers associated with production performance and nutritional parameters and their changing rules through the analysis of plasma metabolic end products, and to explore how to determine the metabolites in the plasma of weaned piglets fed different levels of metabolizable energy. Markers predict the effective energy level of piglets, establish a dynamic regression prediction equation between plasma metabolic markers and effective energy value, and try to accurately predict the effective energy value of piglets through only one or several plasma metabolic markers. It has important theoretical and practical significance to meet the nutritional needs of pigs under different environmental, physiological and pathological conditions, and to improve pig production efficiency.
[0116] 1. Relative conten...
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