Effects of Diets with Different Starch/Neutral Detergent Fiber Ratios on Growth Performance,Carcass Performance and Meat Quality of Fattening Yaks
The aim of this study was to investigate the effects of diets with different starch/neutral detergent fi-ber(NDF)(SN)ratios on the growth performance,carcass traits and meat quality of fattening yak.Fifty-one healthy male yaks with similar body condition and weight[(247.48±24.02)kg]were randomly divided into three groups,with 17 replicates per group and one yak per replicate.Yaks of different groups were fed different carbohydrate structure diets,namely low SN ratio(LSN group),medium SN ratio(MSN group)and high SN ratio(HSN group)diets,with SN ratios of 0.41,0.51 and 0.64,respectively.The animals were housed for 115 days.The results showed that the average daily gain of yaks in HSN group was significantly higher than that in LSN group(P＜0.05),and the ratio of feed to gain was significantly lower than that in LSN group(P＜0.05).Yaks in HSN group had significantly lower rumen weight than those in LSN and MSN groups(P＜0.05).The weight of reticulum,omasum,abomasum,small intestine,large intestine,heart,liver did not dif-fer significantly among groups(P＞0.05).Different carbohydrate structure diets had no significant influence on carcass length,chest depth,depth,hind leg circumference,hind leg length,hind leg width,thigh muscle thickness and other carcass dimensions(P＞0.05).Yaks in HSN group had significantly higher slaughter rate than those in LSN group(P＜0.05),as well as clear meat rate in LSN group(P＜0.05).The cooked meat rate of longissimus dorsi in HSN group was higher than that in LSN group,but not significantly(P＞0.05),mean-while,the yaks in HSN group had significantly lower shear force(P＜0.05).Brightness value in HSN group was higher than that in LSN and MSN groups,but not significantly(P＞0.05).In conclusion,fattening yaks have good adaptability to high SN ratio diet,which can be beneficial to improvement of growth,meat perform-ance and meat quality in fattening yaks.[Chinese Journal of Animal Nutrition,2024,36(5):3094-3105]
万方数据
维普
