利用粪便近红外反射光谱(F.NIRS)评价长尾草-草地放牧阉牛的饲粮品质和活重

R. Dixon, D. Coates
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引用次数: 15

摘要

3批杂交籼牛(初始体重178 ~ 216公斤)放牧银合欢草甸[银合欢亚种glabrata cv.]。坎宁安有绿色恐慌(恐慌菌最大cv)。在昆士兰州东南部的伯内特地区,从冬末到秋天,连续三年都会出现这种植物。在夏季,阉牛的实测日增重(DWGActual)一般为0.7-1.1 kg/d。代谢能和干物质(DM)的估计采食量是根据饲粮标准计算的,作为在DWGActual生长所需的采食量。利用建立的适用于澳大利亚北部牧草的校准方程,从粪便的近红外反射光谱(F.NIRS)预测饲粮属性。将食用银合欢日粮的牛的一些额外参考样品纳入基于草和草本豆科草牧场的近红外光谱校准中,可以提高对日粮中银合欢比例的预测。马氏距离值支持F.NIRS预测日粮粗蛋白质浓度和DM消化率(DMD)的假设。近红外光谱分析表明,鱼青菜在饮食中的比例差异很大(10-99%)。饲粮粗蛋白质浓度和DMD均较高,平均分别为12.4%和62%,且与饲料中银合子的比例呈渐近相关(R2分别为0.48和0.33)。近红外光谱(F.NIRS)对DWG的校准不能令人满意地从单个粪便样本中预测这一变量,因为预测的正确率为0.33-0.40 kg/天。利用fnirs DWG校准预测的累积阉牛活重(LW),以前是用热带草和草-草本豆科牧草开发的,大大高估了实测的阉牛LW;因此,这些校准是没有用的。根据修正的F.NIRS DWG校准(包括本研究的数据)预测的累积转向LW与转向LW呈强相关(R2 = 0.95),但8个月后LW高估了19-31 kg。需要更多的参考数据来开发可靠的近红外光谱校准,以涵盖澳大利亚北部Leucaena牧场的多样性。综上所述,利用近红外光谱可以更好地了解采食白毛草草地的牛的日粮质量和营养摄入量,以及营养供应与牛生长的关系。
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Diet quality and liveweight gain of steers grazing Leucaena–grass pasture estimated with faecal near infrared reflectance spectroscopy (F.NIRS)
Three drafts of Bos indicus cross steers (initially 178-216 kg) grazed Leucaena-grass pasture [Leucaena leucocephala subspecies glabrata cv. Cunningham with green panic (Panicum maximum cv. trichoglume)] from late winter through to autumn during three consecutive years in the Burnett region of south-east Queensland. Measured daily weight gain (DWGActual) of the steers was generally 0.7-1.1 kg/day during the summer months. Estimated intakes of metabolisable energy and dry matter (DM) were calculated from feeding standards as the intakes required by the steers to grow at the DWGActual. Diet attributes were predicted from near infrared reflectance spectroscopy spectra of faeces (F.NIRS) using established calibration equations appropriate for northern Australian forages. Inclusion of some additional reference samples from cattle consuming Leucaena diets into F.NIRS calibrations based on grass and herbaceous legume-grass pastures improved prediction of the proportion of Leucaena in the diet. Mahalanobis distance values supported the hypothesis that the F.NIRS predictions of diet crude protein concentration and DM digestibility (DMD) were acceptable. F.NIRS indicated that the percentage of Leucaena in the diet varied widely (10-99%). Diet crude protein concentration and DMD were usually high, averaging 12.4 and 62%, respectively, and were related asymptotically to the percentage of Leucaena in the diet (R2 = 0.48 and 0.33, respectively). F.NIRS calibrations for DWG were not satisfactory to predict this variable from an individual faecal sample since the s.e. of prediction were 0.33-0.40 kg/day. Cumulative steer liveweight (LW) predicted from F.NIRS DWG calibrations, which had been previously developed with tropical grass and grass-herbaceous legume pastures, greatly overestimated the measured steer LW; therefore, these calibrations were not useful. Cumulative steer LW predicted from a modified F.NIRS DWG calibration, which included data from the present study, was strongly correlated (R2 = 0.95) with steer LW but overestimated LW by 19-31 kg after 8 months. Additional reference data are needed to develop robust F.NIRS calibrations to encompass the diversity of Leucaena pastures of northern Australia. In conclusion, the experiment demonstrated that F.NIRS could improve understanding of diet quality and nutrient intake of cattle grazing Leucaena-grass pasture, and the relationships between nutrient supply and cattle growth.
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