Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
J Equine Vet Sci. 2021 Jun;101:103457. doi: 10.1016/j.jevs.2021.103457. Epub 2021 Mar 26.
Dezhou donkey is an excellent local hide, meat and milk breed in Shandong Province. To accelerate the speed of breeding, reproduction and conversation, correlation and multiple regression analysis between body weight (BW) and body size of Dezhou donkey rearing under intensive farms was made by SAS 9.4 software (Statistical Analysis for Windows). A total of 162 donkeys of both gender of age 2 ~ 10 years old were used to investigate the relationships between BW and body dimensional traits (cm) including height of withers, body length; thoracic depth, thoracic girth (TG), thoracic width (TW), circumference of cannon bone (CB), height of rump, rump length (RL) and rump width (RW). The results showed that BW and body measurements have positive and great correlations with R value ranged from 0.58 to 0.88 (P <0.01). The R values from the single-parameter equations showed that the TG was highly related to BW (0.72, P < 0.01). The stepwise regression equations were applied to obtain the best prediction equations, and the results indicated that the prediction accuracy for BW was improved with the inclusion of more body measurement variables. The "best fit" models were: BW (kg) = 1.88 × TG + 1.27 × BL + 2.55 × TW + 4.61 × CB + 2.18 × RW + 1.78 × RL - 422.8 (R = 0.906, P < .01). The predicted BW from the present equations showed the nearest value to the real BW (R > 0.94, P < .01). In addition, the equations derived to predict the BW of donkeys in Britain, Morocco were less satisfactory for use with the present Dezhou donkey breed because they overestimated or underestimated the BW due to the different donkey breed.
德州驴是山东省优秀的地方皮、肉、乳用品种。为了加速繁殖、繁殖和转化的速度，使用 SAS 9.4 软件（Windows 统计分析）对集约化农场饲养的德州驴的体重（BW）与体型之间进行了相关和多元回归分析。共有 162 头年龄在 2 至 10 岁的公母驴用于研究 BW 与体型特征（cm）之间的关系，包括肩高、体长；胸深、胸围（TG）、胸宽（TW）、管骨周长（CB）、臀高、臀长（RL）和臀宽（RW）。结果表明，BW 和身体测量值与 R 值呈正相关，范围从 0.58 到 0.88（P <0.01）。单参数方程的 R 值表明，TG 与 BW 高度相关（0.72，P <0.01）。应用逐步回归方程获得最佳预测方程，结果表明，随着更多身体测量变量的纳入，BW 的预测精度得到提高。“最佳拟合”模型为：BW（kg）=1.88×TG+1.27×BL+2.55×TW+4.61×CB+2.18×RW+1.78×RL-422.8（R=0.906，P <0.01）。本方程预测的 BW 与实际 BW 最接近（R > 0.94，P <0.01）。此外，由于不同的驴品种，用于预测英国和摩洛哥驴 BW 的方程不太适合本德州驴品种，因为它们高估或低估了 BW。
