Improving the quality of perennial ryegrass (Lolium perenne L.) for dairy cows by selecting for fast clearing and/or degradable neutral detergent fiber

H.Z. Taweel , B.M. Tas , H.J. Smit , A. Elgersma , J. Dijkstra , S. Tamminga
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引用次数: 33

Abstract

Neutral detergent fiber (NDF) fractional clearance rate (Kcl) and fractional degradation rate (kd) of six varieties of perennial ryegrass were measured to examine the possibility of selecting for varieties with fast degradable NDF. The experiment was conducted in 2000 and repeated in 2001. In each year, six multiparous rumen-cannulated dairy cows were stall-fed with six varieties of perennial ryegrass during three 2-week periods, using a double 3 × 3 Latin square design. The NDF fractional clearance rate (KclNDF) and the acid detergent lignin fractional clearance rate (KclADL) were estimated using two consecutive rumen evacuations, separated by a 12-h period of feed deprivation assuming a first-order kinetics. The NDF fractional degradation rate (kdNDF) was calculated based on the assumption that NDF fractional passage rate (kpNDF) was equal to KclADL. The KclNDF of the different grass varieties was in the range of 5 to 6%/h. The kdNDF was lower than reported in situ values and ranged from 2 to 3%/h. The KclNDF and kdNDF were not significantly different among grass varieties in both years. The difference between the fastest disappearing and degrading variety and the slowest one was less than 1%/h. This may indicate that within perennial ryegrass varieties, there is a narrow range of improvement with regard to clearance and degradation rates.

通过选择快速清洁和/或可降解的中性洗涤纤维,提高奶牛多年生黑麦草品质
测定了6个多年生黑麦草品种的中性洗涤纤维(NDF)分数清除率(Kcl)和分数降解率(kd),探讨了选择NDF快速降解品种的可能性。该实验于2000年进行,并于2001年进行了重复。采用双3 × 3拉丁方试验设计,每年用6个多年生黑麦草品种对6头瘤胃瘘管奶牛进行3个2周的隔间饲养。NDF分数清除率(KclNDF)和酸性洗涤剂木质素分数清除率(KclADL)是通过连续两次瘤胃排泄来估计的,间隔12小时的饲料剥夺假设一级动力学。假设NDF分数传代率(kpNDF)等于KclADL,计算NDF分数降解率(kdNDF)。不同牧草品种的KclNDF均在5% ~ 6%/h之间。kdNDF低于报道的原位值,范围为2 - 3%/h。2年不同草种间KclNDF和kdNDF差异不显著。最快消失降解品种与最慢消失降解品种的差异小于1%/h。这可能表明,在多年生黑麦草品种中,在清除率和降解率方面有狭窄范围的改善。
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