摘要
305 d产奶量是牧场生产管理的重要依据,也是奶牛遗传评定的重要生产性状之一,提高奶牛个体305 d产奶量预测的准确性是奶牛育种和生产者不断追求的目标。305 d产奶量预测的准确性不仅取决于日常记录数据的数量和质量,而且与预测方法有关,同时受国家、地区、品种、胎次等环境因素的影响。随着计算机和生物统计技术的不断发展,预测奶牛305 d产奶量的准确性显著提高。本文综述了305 d产奶量的预测方法。
305 -day milk yield is not only an important basis for production management of pastures, but also one of the important production traits in genetic evaluation of dairy cattle. It is a goal that dairy cattle breeder and producers are constantly pursuing to improve the forecasting accuracy of 305 - day milk yield. The forecasting accuracy of 305 - day milk yield depends not only on the quantity and quality of the daily record data, but also on the forecasting methods. Meanwhile, It is also affected by the environmental factors, such as the countries, regions, species and parities. With the continuous development of the computer and biological statistics technology, the forecasting accuracy of 305 - day milk yield is significantly improved. This paper reviews the forecasting methods of 305 - day milk yield.
基金
国家奶牛产业技术体系建设专项(CARS-37)
济南市科技计划国际合作项目(201401353)
济南市种业科技振兴计划项目(201210001)
关键词
305
d产奶量
泌乳曲线
预测方法
模型
准确性
305 - day milk yield
lactation curve
forecasting method
model
accuracy
