摘要 为了提高性能测定数据资料的准确性,避免因异常数据比例偏高对遗传评估结果造成较严重的影响,本研究以河北省部分种猪育种场2012—2018年间的育种数据为研究基础,根据性能测定资料的性质和分布规律对数据结构进行分析,建立性能测定异常数据判断方法。结果表明:异常数据判断可分三步骤,首先,根据猪正常生长繁殖规律、测定成绩确定正常值范围,超出范围即判定为异常数据;其次,测定资料显示在合理范围内,要检查其与其他记录之间的相关性再判断是否为异常数据;最后,进行整体记录可靠性判断,如果性状表型分布规律出现问题,再对其进行遗传分析,判断方差组分和遗传参数估计结果是否在正常范围内。前两种异常值类型在数据中只占很小部分,通过核查改正或剔除后即可用于后续分析;而性状记录可靠性如果出现问题,难以判断数据分布异常属于主观原因还是客观原因,在后续分析中不予采用。 In order to improve the accuracy of the performance measurement data and avoid a serious impact of the high proportion of abnormal data on the genetic evaluation results,this study selected breeding data from 2012 to 2018 from some pig breeding farms in Hebei Province as the research object,the structure of the data was analyzed according to the nature and distribution law of the performance measurement data,and a method for judging abnormal data for performance measurement was established.The results showed that abnormal data could be judged by three steps.First,the normal value range was determined according to the normal growth and reproduction law of pigs,and the abnormal data were judged if the range was beyond the normal value.Secondly,if the measurement data was displayed within a reasonable range,the correlation between it and other records should be checked before judging whether it was abnormal data.Finally,the reliability of the overall record was judged.If there were problems with the distribution law of phenotype,genetic analysis was conducted to determine whether the variance components and the estimation results of genetic parameters were within the normal range.The first two types of outliers only account for a small part of the data,which can be used for subsequent analysis after verification or removal.However,if there are problems with the reliability of trait record,it is difficult to judge whether the abnormal data distribution is subjective or objective,so it will not be used in the subsequent analysis.
出处 《黑龙江畜牧兽医》 CAS 北大核心 2021年第6期50-54,59,共6页 Heilongjiang Animal Science And veterinary Medicine
基金 河北省现代农业产业技术体系专项(HBCT20181004044)。
关键词 种猪 性能测定 异常数据 遗传评估 育种 breeding pig performance measurement abnormal data genetic evaluation breeding
分类号 S828 [农业科学—畜牧学]
