不同杂交组合优质冷鲜鸡体尺与屠宰性能相关及回归分析

发布时间：2018-06-23 14:26

本文选题：冷鲜鸡 + 屠宰性能　；参考：《中国家禽》2017年03期

【摘要】：通过比较不同杂交组合优质冷鲜鸡体重、体尺和屠宰性能等性状,初步筛选杂交组合,并通过分析体尺性状与屠宰性能的相关性,建立最佳回归方程,提高育种效率。对63日龄三个杂交组合(ABC、ABD、AEB)优质冷鲜鸡体重、体尺及屠宰性能指标进行测定,利用SPSS 16.0软件进行相关及回归分析,采用逐步回归法构建屠宰性能与体尺性状的多元回归方程。结果表明:三个杂交组合63日龄母鸡体重均超过1.8 kg,公鸡体重均超过2.2 kg。公母鸡的屠宰率均超过86%,全净膛率均超过68%。ABC母鸡的全净膛率、胸肌率均显著高于其它杂交组合(P0.05)。三个组合体斜长、龙骨长、胸宽、胸深、胫长和胫围均显著大于母鸡。ABC和AEB公、母鸡的体斜长均显著大于ABD公、母鸡;ABC公、母鸡胸深显著大于AEB公、母鸡;ABC母鸡胫围大于AEB母鸡。屠宰性能与某些体尺性状间存在显著或极显著相关(P0.05或P0.01),其中活体重、屠体重、全净膛重、半净膛重、单侧腿肌重与胫长极显著相关(P0.01),且相关系数最大,分别为0.740、0.770、0.742、0.693、0.651。建立活体重、屠体重、全净膛重、腿肌重与某些体尺性状的最佳线性回归方程,将对屠宰性能影响显著的相关体尺性状代入回归方程,可预测相应的屠宰性能。
[Abstract]:By comparing the body weight, body size and slaughter performance of different cross combinations, the best regression equation was established to improve breeding efficiency by analyzing the correlation between body size traits and slaughter performance. The body weight, body size and slaughtering performance of three hybrid combinations (ABC AEB) at 63 days of age were measured. The correlation and regression analysis were carried out by SPSS 16.0 software. The multiple regression equations of slaughter performance and body size traits were constructed by stepwise regression method. The results showed that the body weight of 63 day old hens and male chickens were over 1.8 kg and 2.2 kg respectively. The slaughtering rate of hens was over 86%, and the rate of total bore removal was higher than that of 68. ABC hens, and the pectoralis rate was significantly higher than that of other cross combinations (P0.05). The oblique length, keel length, chest width, chest depth, tibial length and tibial circumference of the three combinations were significantly larger than those of hens. ABC and AEB. The body oblique length of hens was significantly larger than that of Abd males, and the breast depth of hens was significantly larger than that of AEB males. The tibia circumference of the hen was larger than that of the AEB hen. There was significant or extremely significant correlation between slaughter performance and some body size traits (P0.05 or P0.01). Among them, live weight, slaughtering weight, full weight, semi-clean weight, one-leg muscle weight and tibial length were significantly correlated (P0.01), and the correlation coefficient was the highest (0.7400.0.770) 0.7420.6930.651. The best linear regression equations of live weight, slaughtering weight, full weight, leg muscle weight and some body size traits were established. The relevant body size traits which had significant influence on slaughter performance were substituted into the regression equation, and the corresponding slaughter performance could be predicted.
【作者单位】：江苏省家禽科学研究所;江苏省家禽遗传育种重点实验室;江苏立华牧业股份有限公司;
【基金】：江苏省重点研发计划(现代农业)(BE2015344) 江苏省农业科技自主创新资金(CX(15)1009) 国家自然科学基金(31301967、31402032、31572358) 江苏省六大人才高峰项目(2014-NY-004) 现代农业产业技术体系建设专项资金(CARS-42-G03) 扬州市科技公共服务平台建设(YZ2016221) 江苏省三新工程(SXGC[2016]290)
【分类号】：S831

【相似文献】