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首页> 外文期刊>Italian journal of animal science >Evaluation of water beef buffalo from birth to two years using different growth curves
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Evaluation of water beef buffalo from birth to two years using different growth curves

机译:使用不同的生长曲线评估从出生到两年的水牛肉水牛

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Abstract The buffalo is a domestic animal species of growing world-wide importance. Research to improve genetic improvement programs is important to maintain the productivity of buffalo. The objective this research was to evaluate the growth of Brazilian buffalo to two years of age with different growth curves. Growth curves consolidate the information contained in the weight-age data into three or four biologically meaningful parameters. The data included 31,452 weights at birth and 120, 205, 365, 550 and 730 days of buffalo (n = 5,178) raised on pasture without supplementation. Logistic, Gompertz, quadratic logarithmic, and linear hyperbolic curves (designated L, G, QL, and LH, respectively) were fitted to the data by using proc NLIN of SAS (SAS Institute, Inc., Cary, NC, USA). The parameters estimates for L [WT= A * (((1 + exp (-k * AGE)))**-m)] were A = 865.1 ± 5.42; k= 0.0028 ± 0.00002; M= 3.808 ± 0.007; R2 = 0.95. For G [WT= A * exp (-b * exp (-k * age)] the parameters estimates were A= 967.6 ± 7.23; k = 0.00217 ± 0.000015; b = -2.8152 ± 0.00532. For QL [WT= A + b*age + k*(age*age) + m*log (age)] parameters estimates were A= 37.41 ± 0.48; k= 0.00019 ± 6.4E-6; b= 0.539 ± 0.006; m= 2.32 ± 0.23; R2=0.96. For LH [WT= A + b*AGE + k*(1/AGE)] the parameters estimates were A= 23.15 ± 0.44; k=15.16 ± 0.66; b= 0.707 ± 0.001; R 2= 0.96. Each of these curves fit these data equally well and could be used for characterizing growth to two years in beef buffalo.
机译:摘要水牛是一种在世界范围内具有重要地位的家畜。改善遗传改良计划的研究对于维持水牛的生产力非常重要。这项研究的目的是评估不同生长曲线下巴西水牛到2岁的生长情况。生长曲线将体重年龄数据中包含的信息合并为三个或四个生物学上有意义的参数。数据包括出生时31,452体重,以及在没有补充的情况下在牧场上饲养的水牛的120、205、365、550和730天(n = 5,178)。使用SAS的proc NLIN(SAS Institute,Inc.,Cary,NC,美国)将Logistic,Gompertz,二次对数和线性双曲线(分别指定为L,G,QL和LH)拟合到数据。 L的参数估计[WT = A *((((1 + exp(-k * AGE))**-m)]为A = 865.1±5.42; k = 0.0028±0.00002; M = 3.808±0.007; R 2 = 0.95。对于G [WT = A * exp(-b * exp(-k *年龄)],参数估计值为A = 967.6±7.23; k = 0.00217±0.000015; b = -2.8152±0.00532。对于QL [WT = A + b * age + k *(age * age)+ m * log(age)]个参数估计值为A = 37.41±0.48; k = 0.00019±6.4E- 6 ; b = 0.539±0.006; m = 2.32±0.23; R 2 = 0.96。对于LH [WT = A + b * AGE + k *(1 / AGE)],参数估计为A = 23.15±0.44; k = 15.16 ±0.66; b = 0.707±0.001; R 2 = 0.96,每条曲线均能很好地拟合这些数据,可用于表征水牛的生长至两年。

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