Department of Animal Science, The Pennsylvania State University, University Park, PA 16802, USA.
J Dairy Sci. 2013 Feb;96(2):1251-4. doi: 10.3168/jds.2012-5712. Epub 2012 Dec 6.
The objectives of this study were to quantify the relationships of various definitions of feed utilization with both fertility and productive life. Intake and body measurement data were collected monthly on 970 cows in 11 tie-stall herds for 6 consecutive months. Measures of feed utilization for this study were dry matter intake (DMI), dry matter intake efficiency (DME, defined as 305-d fat-corrected milk/305-d DMI), DME with intake adjusted for maintenance requirements (DMEM), crude protein efficiency (defined as 305-d protein yield/305-d crude protein intake), and 2 definitions of residual feed intake (RFI). The first, RFI(reg), was calculated by regressing daily DMI on daily milk, fat, and protein yields, body weight (BW), daily body condition score (BCS) gain or loss, the interaction between BW and BCS gain or loss, and days in milk. The second, RFI(NRC), was estimated by subtracting 305-d DMI predicted according to their fat-corrected milk and BW from actual 305-d DMI. Data were analyzed with 8-trait animal models and included one measure of feed utilization and milk, fat, and protein yields, BW, BCS, days open (DO), and productive life (PL). The genetic correlation between DME and DO was 0.53 (± 0.19) and that between DME and PL was 0.66 (± 0.10). These results show that cows who had higher feed efficiency had greater DO (undesirable) and greater PL (desirable). Results were similar for the genetic correlation between DO and crude protein efficiency (0.42). Productive life had genetic correlations of -0.22 with BW and -0.48 with BCS, suggesting that larger, fatter cows in this study had shorter PL. Correlations between estimated breeding values for feed utilization and official sire genetic evaluations for fertility were in agreement with the results from the multiple-trait models. Selection programs intended to enhance feed efficiency should factor relationships with functional traits to avoid unfavorable effects on cow fertility.
本研究的目的是量化各种饲料利用定义与繁殖力和生产寿命的关系。在 11 个栓系牛舍中,对 970 头奶牛进行了 6 个月的连续每月一次的采食量和身体测量数据收集。本研究的饲料利用措施包括干物质采食量(DMI)、干物质采食量效率(DME,定义为 305 天产奶量校正乳/DMI)、调整维持需要的 DME(DMEM)、粗蛋白效率(定义为 305 天蛋白质产量/DMI)以及两种残料采食量(RFI)定义。第一个,RFI(reg),通过回归每日 DMI 与每日牛奶、脂肪和蛋白质产量、体重(BW)、每日体况评分(BCS)增减、BW 和 BCS 增减的交互作用以及产奶天数来计算。第二个,RFI(NRC),通过从实际 305 天 DMI 中减去根据产奶量校正乳和 BW 预测的 305 天 DMI 来估计。数据采用 8 个性状动物模型进行分析,包括饲料利用措施以及牛奶、脂肪和蛋白质产量、BW、BCS、产犊间隔(DO)和生产寿命(PL)的一个度量。DME 和 DO 之间的遗传相关系数为 0.53(±0.19),DME 和 PL 之间的遗传相关系数为 0.66(±0.10)。这些结果表明,饲料效率较高的奶牛 DO(不理想)和 PL(理想)较大。DO 和粗蛋白效率之间的遗传相关系数也相似(0.42)。PL 与 BW 的遗传相关系数为-0.22,与 BCS 的遗传相关系数为-0.48,这表明在本研究中较大、较胖的奶牛 PL 较短。饲料利用的估计育种值与官方公牛遗传评估的繁殖力之间的相关性与多性状模型的结果一致。旨在提高饲料效率的选择计划应考虑到与功能性状的关系,以避免对奶牛繁殖力产生不利影响。