Alfonso-Ávila Ángel René, Wattiaux Michel A, Espinoza-Ortega Angélica, Sánchez-Vera Ernesto, Arriaga-Jordán Carlos M
Instituto de Ciencias Agropecuarias y Rurales, Universidad Autónoma del Estado de México, Instituto Literario # 100, C.P. 50000, Toluca, Estado de México, Mexico.
Trop Anim Health Prod. 2012 Mar;44(3):637-44. doi: 10.1007/s11250-011-9947-5. Epub 2011 Aug 7.
The objective of the work was to identify local feeding strategies in small-scale dairy production systems during the rainy season in the highlands of Mexico, and to determine their effects on milk yields (MY), milk composition and economic viability. Twenty-two dairy farms were monitored by monthly visits, recording and sampling milk from between two and six cows in each farm, live-weight was also recorded. Samples from feeds used in that month were taken and feeds given to the dairy herd were weighed. Economic data was also recorded. Milk composition and milk urea nitrogen were determined, as well as chemical composition of feeds. Eighteen feedstuffs were identified, grouped in: HNH feeds-high in neutral detergent fibre (NDF) and in DM matter; HNL feeds-high in NDF but low in DM; HCh feeds-high in non-fibrous carbohydrates; and HCP feeds-high in crude protein. Four feeding strategies were identified: strategy 1 uses HND, HNL and HCP; strategy 2-HND, HNL, HCh and HCP; strategy 3 HNH and HCP; and strategy 4 HNL and HCP. Of participating farms, 73.4% followed strategy 1, 11.3% strategy 2, 11.3% strategy 4 and 3.8% strategy 3. There were no statistical differences (P > 0.05) between strategies for MY and milk composition, but there were differences (P < 0.05) for ration costs. Multiple regression analysis showed no significative (P > 0.05) model relating intake of feed groups and milk fat content, but milk protein and SNF contents were significantly explained by intake of HCP. When expressed as MY and milk components yield, milk fat yield was significantly explained by intake of all four feed groups, but milk protein and SNF yields were explained only by intake of HCP and LW. MUN excretion was explained also by HCP intake. All feeding strategies produced positive economic returns, on average generating the equivalent of 3.45 minimum wages of the area.
这项工作的目的是确定墨西哥高地雨季小规模奶牛生产系统中的当地饲养策略,并确定其对产奶量(MY)、牛奶成分和经济可行性的影响。通过每月走访对22个奶牛场进行监测,记录每个农场2至6头奶牛的产奶量并进行采样,同时记录奶牛的活重。采集当月使用的饲料样本,并对喂给奶牛群的饲料进行称重。还记录了经济数据。测定了牛奶成分和牛奶尿素氮以及饲料的化学成分。确定了18种饲料,分为:HNH饲料——中性洗涤纤维(NDF)和干物质含量高;HNL饲料——NDF含量高但干物质含量低;HCh饲料——非纤维碳水化合物含量高;以及HCP饲料——粗蛋白含量高。确定了四种饲养策略:策略1使用HND、HNL和HCP;策略2——HND、HNL、HCh和HCP;策略3——HNH和HCP;以及策略4——HNL和HCP。参与的农场中,73.4%采用策略1,11.3%采用策略2,11.3%采用策略4,3.8%采用策略3。不同策略之间的产奶量和牛奶成分没有统计学差异(P>0.05),但日粮成本存在差异(P<0.05)。多元回归分析表明,饲料组摄入量与乳脂含量之间没有显著(P>0.05)模型,但乳蛋白和非脂固形物含量可由HCP摄入量显著解释。以产奶量和牛奶成分产量表示时,所有四个饲料组的摄入量都能显著解释乳脂产量,但乳蛋白和非脂固形物产量仅由HCP摄入量和活重解释。HCP摄入量也能解释牛奶尿素氮排泄量。所有饲养策略都产生了正的经济回报,平均产生相当于该地区3.45个最低工资的收益。