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巴美肉羊体重与体尺性状的相关性分析及选育效果 被引量:9

Correlation Analysis and Breeding Progress of Body Weight and Body Size of Bamei Mutton Sheep
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摘要 为探讨巴美肉羊体重与体尺指标间的相关性及近3年的选育效果,选择2~6岁、健康状况良好的成年巴美肉羊273只,测定其体重(y)、体高(x_(1))、体长(x_(2))、胸围(x_(3))和胸宽(x_(4)),并分析各指标间的相关性,模拟体重体尺最优回归方程。结果显示,巴美肉羊公羊体重和体尺性状均极显著高于母羊(P<0.01)。公羊中共有5对性状呈极显著相关(P<0.01),有3对性状呈显著相关(P<0.05);母羊中共有10对性状呈极显著相关(P<0.01)。公母羊体重和体尺显著或极显著相关的性状均呈正相关。成年巴美肉羊母羊体重估计的最优回归方程为:y=0.62x_(3)+0.94x_(2)+0.29x_(1)-94.75。与2018年相比,巴美肉羊近3年在体重和体长上选育效果显著。 In order to explore the relationship between the body weight and body size of the Bamei mutton sheep,the body weight(y)and body height(x_(1)),body length(x_(2)),chest circumference(x_(3))and chest width(x_(4))of adult sheep were measured,then integrate 2018 data for statistical analysis.The results showed that the body weight and body size of rams were extremely significantly higher than those of ewes(P<0.01).A total of five pairs of traits were extremely significantly correlated(P<0.01),and three pairs of traits were significantly correlated(P<0.05)in rams,ten pairs of traits in ewes were extremely significantly correlated(P<0.01),and all of these correlations were positively.The optimal regression equation for the weight estimation of adult Bamei mutton ewes was:y=0.62x_(3)+0.94x_(2)+0.29x_(1)-94.75.Compared with 2018,Bamei mutton sheep had achieved remarkable results in weight and length breeding in recent three years.
作者 王韵斐 陈秋菊 王文义 贺小云 储明星 WANG Yunfei;CHEN Qiuju;WANG Wenyi;HE Xiaoyun;CHU Mingxing(Key Laboratory of Animal Genetics,Breeding and Reproduction of Ministry of Agriculture and Rural Affairs,Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China;Bayanneur Academy of Agricultural and Animal Husbandry Sciences,Bayanneur 015000,China)
出处 《中国草食动物科学》 CAS 2022年第3期70-73,共4页 China Herbivore Science
基金 财政部和农业农村部-国家现代农业产业技术体系(CARS-38) 内蒙古自治区科技重大专项“优质肉羊高频高繁生产关键技术研究与产业化示范” “科技兴蒙”行动重点专项巴彦淖尔国家农业高新技术产业示范区重点项目(NMKJXM202110)。
关键词 巴美肉羊 体重 体尺 相关性 Bamei mutton sheep body weight body size correlation and regression analysis
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