首页> 外文期刊>畜牧与生物技术杂志:英文版 >Comparison of acid-detergent lignin, alkaline-peroxide lignin, and acid-detergent insoluble ash as internal markers for predicting fecal output and digestibilily by caltie offered bermudagrass hays of varying nutrient composition
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Comparison of acid-detergent lignin, alkaline-peroxide lignin, and acid-detergent insoluble ash as internal markers for predicting fecal output and digestibilily by caltie offered bermudagrass hays of varying nutrient composition

机译:比较酸清洗剂木质素,碱金属过氧化物木质素和酸清洗剂不溶性灰分作为内部预测指标的内部指标,通过钙质测定提供不同营养成分的百慕大草干草

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Background:The potential for acid-detergent insoluble ash(ADIA),alkaline-peroxide lignin(APL),and acid-detergent lignin(ADL) to predict fecal output(FO) and dry matter digestibility(DMD) by cattle offered bermudagrass[Cynodon dactylon(L.) Pers.]hays of different qualities was evaluated.Eight ruminally cannulated cows(594 ± 35.5 kg) were allocated randomly to 4 hay diets:low(L),medium low(ML),medium high(MH),and high(H) crude protein(CP)concentration(79,111,131,and 164 g CP/kg on a DM basis,respectively).Diets were offered in 3 periods with 2 diet replicates per period and were rotated across cows between periods.Cows were individually fed 20 g DM/kg of body weight in equal feedings at 08:00 and 16:00 h for a 10-d adaptation followed by a 5-d total fecal collection.Actual DM intake(DMI),DMD,and FO were determined based on hay offered,ort,and feces excreted.These components were then analyzed for ADL,APL,and ADIA concentration to determine marker recovery and marker-based estimates of FO and DMD.Results:Forage DMI was affected by diet(P = 0.02),and DMI from MH and H was greater(P 0.05) from total fecal collection while those using ADL differed(P 0.22)for either FO or DMD.Conclusion:Acid-detergent insoluble ash and APL accurately predicted FO and DMD of cattle fed bermudagrass hay of varying nutrient composition.These internal markers may facilitate studies involving large numbers of animals and forages.Results from such studies may be used to develop improved equations to predict energy values of forages based on the relationship of dietary components to digestibility across a wide range of forages.

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