| This test selects Grazing sheep as the object of study, which comes from Changji Ashley townshipmountain meadows. According to the foraging equivalent of the grazing sheep and the precisionmanagement model of the individual animals, obtaining the standard food consumption scheme of thesheep, and also get the accurate management scheme. We also monitored the nutriture of the pasture inthe typical pasture, in the other hand, we analyzed the forage samples of its main nutritional indicators,which were collected in spring and autumn, at the same time we track record the farm household sheep’sproduction performance, which mainly include wool yield, the hair quality, the sheep weight in differentseasons, body condition, age, and so on, we also record the income and expenditure in the farmhousehold, finally we have analyzed the variation about the production performance of the farm animal,and the economic benefit in the farm household, checking reliability and feasibility of the model’sanalysis scheme. In this study, the following results can be drawn::1.The nutrient content to the pasture in the Ashley township are changed with the seasons change, andthe variation of the crude protein, crude fat,energy and calcium contents respectively are7.46±0.01%,15.80±0.04MJ/kg,1.06±0.29%. In autumn, they are significantly higher than in spring(P<0.01). Inthe spring pasture, the neutral detergent fiber, acid detergent fiber in the pasture are higher than that inthe autumn pasture, but it is non~significant(P>0.05). The results show that the nutritive value of thepasture in the autumn pasture is higher than that in the spring pasture.2. In spring and winter, the food-intake in metabolism of the sheep respectively are124.86±16.01g kgW0.75 d and154.41±17.01g kgW0.75 d. The food-intake in autumn is significantly higher thanspring(P <0.01). The digestibility of the sheep respectively are39.41±0.16and45.54±0.01%, and that inautumn is significantly higher than spring (P <0.01).. The change of the digestibility is in accordancewith the change of the food-intake. It is revealed that the quality of the grass in autumn is better thanspring.3. Different lambing date can affect the development of the lamb. Then the influence to the productivityeffect due to its different lambing date between model household and control group are analyzed, theresult shows that: the birth weight of the lamb in autumn is0.19kg higher than spring, at the same time, the weight in the first three months are more higher than spring. When the slaughter weight is reached,the slaughter weight in winner is0.15kg higher than spring, and the selling price of the lamb in spring islower than those of lambs from the winner. But it is low feeding cost in spring. It shows that the lambingdate affect the economic benefit of the herdsmen. Considering the economic benefit produced fromfarmers, spring lamb is better than winter lamb.4. There is different under feeding condition in winter. The body weight loss of the whole group underbarn feeding is less than that of full-grazing group, but the conception rate, lambing rate, woolproduction and wool quality are significantly higher than the grazing group(P <0.01). Considering theeconomic benefit of the herdsman, the average cost of feeding grazing is33.5yuan/only Annual, netincome of39,798yuan, the cost of feeding feeding group is61.5yuan/only Year, net income of42,610yuan. The feeding cost and revenues are high under barn feeding condition, while they are theopposite under pasturing condition. However, the ratio of revenue and cost is less than the control group.The net income per sheep of test group is more28.12yuan than that of the control group. The economicbenefit of barn feeding is higher than the grazing group.5.In this paper, the livestock precision management model to the amount of livestock in the experimentalgroup and the control group is analyzed, the results showed that, in the case of the herdsmen economicbenefits unchanged, which could reduced the rate of grazing capacity about3.7%~7.19%, if thereduced funds are injected into the existing of livestock, and the management level is improved, thenoptimizing it with livestock precision management model at the end, the rate of grazing capacity wouldhave a further cut about25.93%~42.45%. |