Klindt J
U.S. Department of Agriculture, Clay Center, NE 68933.
J Anim Sci. 1988 Nov;66(11):2784-90. doi: 10.2527/jas1988.66112784x.
Selection of dairy sires is based on the production records of their female ancestors, half-sibs and daughters. No trait expressed by the sire is used. Concentrations of growth hormone (GH) and prolactin (PRL), hormones produced in both males and females that are fundamental in lactation, may be correlated with production. A study was conducted to determine whether measures of these hormones in the sire would be useful predictors of lactational ability of daughters. Blood samples were collected at 15-min intervals for 8 h from 26 Holstein bulls (5.5 yr of age) that had one progeny summary available. Plasma concentrations of GH and PRL were quantified and the mean and baseline concentrations and the frequency and mean amplitude of the secretory peaks were determined for each bull. Concentrations among these values and bulls' predicted differences (PD) were determined. Significant negative correlations were detected for frequency of GH peaks and PD for yield of milk, fat and protein; correlations were positive for PRL baseline concentrations and PD for fat and protein (P less than .10), and correlations were negative for frequency of PRL peaks and PD for milk, fat and protein (P less than .10). Addition of estimates of bull hormone secretory parameters to breeding values based on performance of relatives considerably improved the accuracy (R2) for predicting progeny performance from sire information. Certain characteristics of the patterns of GH and PRL secretion may be heritable and aid in identification of superior dairy animals.
奶牛种公牛的选择是基于其雌性祖先、半同胞姐妹和女儿的生产记录。种公牛所表现出的任何性状均不被采用。生长激素(GH)和催乳素(PRL)是雄性和雌性动物体内都能产生的激素,在泌乳过程中起着重要作用,其浓度可能与产量相关。本研究旨在确定种公牛体内这些激素的测量值是否可作为其女儿泌乳能力的有效预测指标。从26头有一份后代总结记录的荷斯坦公牛(5.5岁)身上,每隔15分钟采集一次血样,共采集8小时。对每头公牛的血浆GH和PRL浓度进行定量分析,确定其平均浓度、基线浓度以及分泌峰的频率和平均幅度。确定了这些数值之间的浓度关系以及公牛的预测差异(PD)。结果发现,GH峰频率与牛奶、脂肪和蛋白质产量的PD之间存在显著负相关;PRL基线浓度与脂肪和蛋白质的PD之间呈正相关(P<0.10),PRL峰频率与牛奶、脂肪和蛋白质的PD之间呈负相关(P<0.10)。在基于亲属表现的育种值中加入种公牛激素分泌参数估计值,可显著提高根据种公牛信息预测后代性能的准确性(R2)。GH和PRL分泌模式的某些特征可能具有遗传性,有助于识别优质奶牛。