陕北白绒山羊体尺、体重和产绒量相关回归分析

为了研究不同年龄段陕北白绒山羊体尺、体重、绒长、毛长和产绒量的最优回归模型,为陕北白绒山羊的选种和培育提供可靠的依据,试验采用相关分析、通径分析和回归分析的方法.结果表明:陕北白绒山羊在4岁时处于最佳生长阶段,产肉和产绒性能最好;产绒量和体尺、体重、毛长、绒长的最优回归模型为Y=0.559X10+0.391X4-0.1...     

陕北白绒山羊体尺与产绒量的相关回归分析

通过对陕北白绒山羊体尺和产绒量相关回归分析,建立了体尺和产绒量的最优回归模型.结果表明:胸深可以作为预测陕北白绒山羊产绒量和选择的主要体尺指标,陕北山羊体尺-产绒量最优回归模型为=0.323X4.     

海南黑山羊体尺与体重的通径分析及最优回归模型的建立

本文运用SAS软件分别分析了海南后备黑山羊和成年黑山羊的体尺与体重间的相关、体尺对体重的直接和间接影响以及体尺对体重的决定程度,最后建立了体重与体尺的最优回归模型。结果表明胸围是影响海南黑山羊体重的最主要的体尺因素。选择海南黑山羊快长系时应在选择体重的同时,加强对胸围的选择力度。海南黑山羊后备羊及成年羊体尺对体重的最优回归模型分别为:Y=-45.1117+0.2909X2+0.4115X3+0.6781X4+0.6815X6和Y=-46.3559+0.1802X2+0.4448X3+0.7701X4+0.8720X6。     

陕北白绒山羊产羔数与体尺性状的相关及回归分析

为探讨陕北白绒山羊产羔数与体尺性状之间的相关性,建立不同产羔数山羊体尺性状间的最优回归方程,对2335只陕北白绒山羊产羔数与体尺性状进行相关性分析,对体长和体尺性状进行通径分析和逐步回归分析,获取不同产羔数山羊体长与体尺之间的最优回归方程.结果 表明,双羔个体(n=1390)的体尺性状显著高于单羔个体(n=945)(P...     

戴云山羊体尺与体重的回归分析

文章运用SAS软件分析了戴云山羊体尺与体重间的相关、体尺对体重的直接和间接影响以及体尺对体重的决策程度,最后建立了体重与体尺的最优回归模型。结果表明:各体尺性状因素都在不同程度上影响戴云山羊的体重。所以选育戴云山羊时应以胸部为主并兼顾体高,以取得较好的选育效果。戴云山羊体尺对体重的最优回归模型为:Y=7.545 6+0.248 7X1+0.762 1X4-0.285 1X5。     

科尔沁农牧交错区辽宁绒山羊体重与体尺的相关性分析

本研究应用通径分析理论,对饲养于吉林省白城地区的350只3～6岁辽宁绒山羊的体尺与体重进行了相关性分析,并建立了最优回归方程。结果表明,饲养于科尔沁农牧交错区的辽宁绒山羊体重与体高、体长、胸围、胸宽、胸深间均呈极显著正相关（P＜0.01）。对体重起决定作用的体尺性状是胸围和胸宽,体尺性状与体重的最优回归方程为：Y=0.071X2+0.712X3+0.165X4+0.081X5。     

湖北乌羊体尺与体重的关系研究

体尺性状与体重具有相关性因而在育种中具有较强的应用价值,找出与体重相关性较大的体尺性状可以提高测定效率.本研究测定了湖北乌羊5个体尺性状,并用SAS软件分析了它们与体重间的相关、对体重的直接和间接影响以及对体重的决策程度,分别建立了公羊及母羊体重与体尺的最优回归模型.结果表明:胸围和体直长是湖北乌羊公羊体重的最主要决策变量,而胸围和管围是湖北乌羊母羊体重的最主要决策变量.湖北乌羊公羊及母羊体尺对体重的最优回归模型分别为Y=-23.2124+0.8616X3和Y=-39.2923+0.7873X3+0.1981X4,其中X3表示体直长,X4表示胸围.     

杜湖杂交F代羔羊体重与体尺关系的研究

肉羊体尺性状与体重的相关性在育种和生产中具有较强的应用价值。对杜泊羊和湖羊的杂交F1代112只羔羊的6个体尺性状和体重进行了测定,并用SAS软件对体尺和体重进行了相关分析和通径分析,将体尺性状划分为对体重的直接作用和间接作用,确立了各项体尺指标对体重的决定程度,分别建立了公羊和母羊的最优回归模型。结果表明:测定的6个体尺性状和体重均有极显著的正相关,胸围和体长是杜湖F1代羔羊的最主要的决定变量。公羊和母羊体长(X1)和胸围(X3)对体重(Y)的最优回归模型分别为:Y=-46.480 8+0.665 4X3+0.443 8X1和Y=-21.946 2+0.464 2X3+0.218 7X1。     

宁夏滩羊体重模型的建立及相关分析

本研究测定了宁夏滩羊的3个体尺性状,并通过SAS软件分析了它们与体重间的相关关系、对体重的直接和间接影响以及对体重的决策程度,并建立了体重与体尺的最优回归模型.结果表明,胸围和体长是影响滩羊体重主要的体尺指标.根据各项分析建立最优回归模型为:Y=0.29214X1+0.64096 X2-34.98122,X1表示体长,X2表示胸围.该研究为品种选育和种质资源鉴定提供理论依据.     

兰州大尾羊体重和体尺的相关性研究

为建立兰州大尾羊体重与各体尺间的最优回归方程,利用SPSS 22.0软件对116只兰州大尾羊体重与体尺数据进行相关性分析、通径分析和逐步回归分析,并对其相关系数进行分解,获取体重与体尺之间的最优回归模型。结果显示:体斜长(X 1)、胸宽(X 2)和体高(X 3)这3个体尺性状与兰州大尾羊体重(Y)之间具有极显著相关性(P<0.01),相关系数分别为0.852、0.488、0.646。兰州大尾羊体尺对体重的最优回归方程为:Y=-105.805+1.455X 1+0.751X 2+0.481X 3(R=0.852,P<0.01)。试验结果表明,体斜长、胸宽和体高对兰州大尾羊体重影响显著,选育时应重点考虑。     

Relationship of body measurements and body condition score to body weight in modern Finnish Ayrshire cows

Abstract

The differences in body weight (BW) and measurements between the cows of today and the early 70s was evaluated and the usefulness of heart girth (HG), wither height, body length (BL) and body condition score (BCS) as predictors of the BW of modern Finnish Ayrshire cows was estimated. During the last three decades, the BW, HG and BL has increased indicating change in body conformation. The BW prediction equation based on early 70s data underestimate the BW of modern Ayrshire cows. Based on current data it is recommended to use different models to predict BW for primiparous and multiparous cows. From single measurements, HG predicted BW most accurately. Inclusion of BL in model gave slight improve in BW prediction, especially for primiparous cows. An additional term of age or days in milk (DIM) for primiparous cows and BCS or DIM for multiparous cows along with HG increased slightly the accuracy of BW prediction.     

Prediction of body weight from body measurements in grass cutters

In order to predict the body weight of grass cutters from linear body measurements, the weights and measurements of 50 intensively managed female grass cutters aged 5 months were fitted into linear, quadratic and cubic regression models. Highly significant (p?<?0.01) R ² values ranging from 74 to 98 % were obtained indicating that all body measurements were good predictors of body weight. Although quadratic and cubic models gave slightly higher R ² values than linear models, it is recommended that farmers should use a simple linear equation based on tail length or heart girth to predict the body weight of their grass cutters. The recommended equations are (weight in kg)?=?0.47?+?0.08 (tail length in cm) and (weight in kg)?=?0.32?+?0.07 (heart girth in cm).     

赛加羚羊初生体重与体尺的相关性研究

为了提高测定效率,运用SPSS软件对30只赛加羚羊初生羔的体尺、体重结果进行了相关分析和通径分析,并建立了最优回归方程。结果表明:赛加羚羊初生体重(Y)与体直长(X_1)、体高(X_2)、胸深(X_3)、胸宽(X_4)、胸围(X_5)、尾长(X_6)、耳长(X_7)及管围(X_8)均呈极显著正相关(P0.01),其中体直长(X_1)和胸围(X_5)是体重(Y)的最主要决定变量。初生羔羊体直长(X_1)和胸围(X_5)对体重(Y)的最优回归方程为Y=-1.219+0.052X1+0.072X5。     

Effects of season and body condition on appetite, body mass and body composition in ad libitum fed pony mares

Changes in appetite, body mass (BM), body condition score (BCS), direct (ultrasonographic) and indirect (deuterium oxide dilution technique) measures of body fat were monitored in Welsh Mountain pony mares (n = 11, 5–19 years of age) offered ad libitum access to a complete diet (gross energy 16.9 ± 0.07 MJ/kg dry matter) for 12 weeks during summer (n = 6; 246 ± 20 kg) and winter (n = 5; 219 ± 21 kg). At the outset, each group comprised two thin (BCS 1–3/9), moderate (BCS 4–6/9) and obese (BCS 7–9/9) animals.For ponies that were non-obese at the outset, BM was gained more rapidly (P = 0.001) in summer (0.8 ± 0.1 kg/day) than winter (0.6 ± 0.0 kg/day). This was associated with a seasonal increase in dry matter intake (DMI) which became maximal (summer, 4.6 ± 0.3% BM as DMI/day; winter, 3.5 ± 0.1% BM as DMI/day) during the second month. The appetite of the obese ponies was half that reported for non-obese animals in the summer and BM remained constant irrespective of season.Body ‘fatness’ increased progressively for non-obese but not obese ponies. Body fat content was exponentially associated with increasing BCS but BCSs >6 were not useful indicators of actual body fat. Endogenous circannual mechanisms to suppress winter weight gain were insufficient to prevent the development of obesity in ad libitum fed ponies.     

圈养天鹅体重、体尺及血液生化指标的测定

动物园圈养野生动物是野生动物异地保护的重要环节。天鹅人工环境下圈养,对保持和增加天鹅的种群数量、加强天鹅的科学研究,及对大众的科普教育等方面起到了积极作用。体尺、血液生化指标以及血液中酶的活性可直接反应动物生理功能,有重要的指示作用。     

Examination of body fluids

In dogs, the pericardial sac contains about 0.3 ml, and the pleural and peritoneal cavities 0-15 ml of clear, straw-colored fluid of pH 7.4, specific gravity 1.016, protein content less than 3.0 g/dl and cell count less than 3000/microliter. Fat can be cleared from chylous fluid with NaOH and ether. Inflammation is indicated by a cell count greater than 3000/microliter. Amylase levels in peritoneal fluid are elevated in necrotizing pancreatitis. The percentage of polymorphonuclear WBC exceeds 50% in bacterial inflammations. Normal joints contain less than 1 ml highly viscid, clear or straw-colored synovial fluid with less than 1000 nucleated cells/microliter. Synovial fluid becomes flocculent and less viscid in septic and occasionally in immune-mediated arthritis, often with cell counts greater than 75,000/microliter, with 75-90% polymorphonuclear WBC. Cerebrospinal fluid is normally acellular, clear and colorless but may be red, yellow or brown with intracranial hematomas. Viral or aseptic meningitis is characterized by mononuclear cell counts of less than 500/microliter. In acute bacterial meningitis, nucleated cell counts are greater than 1000/microliter, with most being polymorphonuclear WBC. Gram staining of cerebrospinal fluid is not useful.