THE USE OF LINEAR BODY MEASUREMENTS PREDICTORS OF BODY WEIGHT OF DONKEYS AT BLOUBERG LOCAL MUNICIPALITY, LIMPOPO, SOUTH AFRICA

Thobela Louis Tyasi
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Abstract

In animal breeding, linear body measurements are identified as predictors of body weight. The current study was conducted to estimate body weight (BW) by using body measurements including thoracic circumference (TC), withers height (WH), body length (BoL), rump height (RH) and front leg length (FLL) of donkeys. The study was conducted at three villages (Thorne, Archibalt, and Genau) of Blouberg Local Municipality, Limpopo, South Africa. A total of 74 donkeys (40 males and 34 females) aged from 3 to 4 years were used in the current study. Data were analyzed using Pearson correlation and simple linear regression. Correlation results indicated that in female donkeys, BW had positive and highly statistical significant (p  0.01) correlation with WH (r = 0.67) and not significant correlated (p  0.05) with TC (r = 0.14) and FLL (r = 0.28). In male donkeys, BW had positive and highly statistical significant (p  0.01) correlation with RH (r = 0.60) and not significant correlated (p  0.05) to FLL (r = 0.27). Regression findings indicated that WH had the highest r 2 = 0.45 and MSE = 8.17 in female donkeys, while RH had the highest r 2 = 0.36 and MSE = positive significant and rump height in in body weight had positive highly significant relation with rump height and withers there was a relation between body weight with circumference, withers height and body length in body had a negative statistical correlation with body weight. Current correlation results to used Findings suggest that wither height and rump height might be used to improve the body weight of donkeys in the study information on correlation results to know which linear body measurements might be used in selection for breeding to improve body weight. Regression models were developed for the prediction of body weight using linear body measurements. In female donkeys, withers had the highest coefficient of determination and low mean square error followed by rump height. In male donkeys, rump height had the low mean square error and highest coefficient of determination followed by withers height. in line with Tyasi et . indicated that show that body weight can be predicted from withers height and rump height. Regression thoracic square error and highest coefficient regression
使用线性身体测量预测驴体重在布洛伯格地方自治市,林波波,南非
在动物育种中,线性身体测量被认为是体重的预测指标。本研究采用驴体测量方法,包括胸围(TC)、肩高(WH)、体长(BoL)、臀高(RH)和前腿长(FLL)来估算体重(BW)。该研究在南非林波波省Blouberg地方自治市的三个村庄(Thorne、Archibalt和Genau)进行。本研究共使用74头3 - 4岁的驴(公驴40头,母驴34头)。数据分析采用Pearson相关和简单线性回归。相关结果表明,母驴体重与WH (r = 0.67)呈极显著正相关(p 0.01),与TC (r = 0.14)和FLL (r = 0.28)呈极显著不相关(p0.05)。公驴体重与相对湿度呈极显著正相关(p≤0.01)(r = 0.60),与体重呈极显著正相关(p≤0.05)(r = 0.27)。回归结果表明,母驴WH最高,r2 = 0.45, MSE = 8.17, RH最高,r2 = 0.36, MSE =正显著,臀高、臀高与体质量呈极显著正相关,体质量与围度呈正相关,体质量与体质量呈正相关,体质量与体质量呈负统计学相关。目前的相关结果表明,残高和臀高可以用来提高驴的体重,本研究通过相关结果的信息来了解哪些线性体型测量可以用于选育来提高体重。采用线性体重测量建立了预测体重的回归模型。母驴的决定系数最高,均方误差最小,其次是臀高。公驴臀高的均方误差最小,决定系数最高,其次是肩高。与Tyasi等一致。表明体重可以通过肩高和臀高来预测。回归胸廓平方误差与最高系数回归
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CiteScore
0.20
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0.00%
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16
审稿时长
20 weeks
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