反刍动物营养

花生蔓与4种粗饲料间组合效应的研究

  • 于腾飞 ,
  • 张杰杰 ,
  • 孙国强
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  • 青岛农业大学动物科技学院, 青岛 266109

收稿日期: 2012-03-21

  网络出版日期: 2012-07-05

基金资助

山东省农业重大应用技术创新资金

Associative Effects of Peanut Vine and Four Kinds of Roughages

  • YU Tengfei ,
  • ZHANG Jiejie ,
  • SUN Guoqiang
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  • College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China

Received date: 2012-03-21

  Online published: 2012-07-05

摘要

为了探讨花生蔓与其他粗饲料间的组合效应,本研究将花生蔓分别与羊草、青贮玉米秸、全株玉米青贮和干玉米秸以0: 100、20: 80、40: 60、60: 40、80: 20、100: 0比例进行组合,每个组合3个重复,利用体外瘤胃发酵技术,分析产气量、产气参数、产气量组合效应、微生物蛋白质产量、微生物蛋白质组合效应和综合组合效应。结果表明:1)在产气特性方面,各组合在产气参数上差异显著(P<0.05),花生蔓产气速率显著高于其他4种粗饲料,潜在产气量全株玉米青贮最高,青贮玉米秸次之。2)在产气量组合效应方面,12、24、48 h花生蔓与青贮玉米秸、干玉米秸及羊草组合,均是当花生蔓占20%时,产生最大正组合效应(P<0.01);当花生蔓占40%时,与全株玉米青贮组合产生最大正组合效应(P<0.01);当花生蔓占80%时,各组合均产生最大负组合效应(P<0.01或P<0.05)。3)在48 h微生物蛋白质组合效应方面,除花生蔓与羊草组合中花生蔓占20%和40%时产生正组合效应外(P<0.01),其余均为负组合效应(P<0.01),其中花生蔓占80%时各组合均产生最大的负组合效应(P<0.01)。4)在48 h综合组合效应方面,当花生蔓占20%时,花生蔓与青贮玉米秸、干玉米秸和羊草均产生最大正组合效应;当花生蔓占40%时,花生蔓与全株玉米青贮组合产生最大正组合效应;当花生蔓占80%时,4个组合均产生最大负组合效应。综上所述,在本试验条件下,花生蔓与青贮玉米秸、干玉米秸和羊草均以20: 80组合效果最好,花生蔓与全株玉米青贮40: 60组合效果最好。

本文引用格式

于腾飞 , 张杰杰 , 孙国强 . 花生蔓与4种粗饲料间组合效应的研究[J]. 动物营养学报, 2012 , 24(7) : 1246 -1254 . DOI: 10.3969/j.issn.1006-267x.2012.07.009

Abstract

In order to investigate the associative effects of peanut vine (PV) and other roughages, combinations of PV with Leymus chinensis (LC), corn stover silage (CS), whole corn silage(WCS) and dry maize straw (DMS)were mixed in the ratio of 0: 100, 20: 80, 40: 60, 60: 40, 80: 20 and 100: 0, respectively. There were 3 replicates for each combination, and rumen fermentation in vitro was adopted to evaluate associative effects by analysis of gas production, gas parameter, gas production associative effects (AEGP), microbial protein production, microbial protein associative effects (AEMCP) and synthetically associative effects (AEs). The results showed as follows: 1) in gas characteristics, different roughage combinations had significant difference in gas production parameters (P<0.05). Gas production rate of PV was significantly higher than that of other four roughs, WCS had the greatest potential gas production and CS was next to it. 2) In AEGP, at 12, 24 and 48 h, both the 20:80 ratio of PV to CS, PV to DMS, PV to LC, and the 40: 60 ratio of PV to WCS had the highest positive associative effects (P<0.01), and the combination of PV with any one of the four roughs in ratio of 80:20 had the highest negative associative effects (P<0.01 or P<0.05). 3) In AEMCP at 48 h, all combinations had negative associative effects (P<0.01), however, the combinations of PV with LC in ratio of 20: 80 and 40: 60 had positive associative effects (P<0.01), and the 80: 20 ratio of PV to LC had the highest negative associative effects (P<0.01). 4) In AEs at 48 h, the 20: 80 ratio of PV to CS, PV to DMS, PV to LC, and the 40: 60 ratio of PV to WCS had the highest positive associative effects, while the combination of PV with any one of the four roughs in ratio of 80: 20 had the highest negative associative effects. It is concluded that the combinations of PV with CS, DMS and LC in ratio of 20: 80, and the combination of PV with WCS in ratio of 40: 60 have the best associative effects in this experiment.

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