摘要
利用一个产蛋年的实际产蛋曲线来分折产蛋率的变化特征和影响因子.用灰色关联度分析出影响产蛋率的因子依次为:饲料量、相对湿度、最高温度、日平均气温、最低温度和日总辐射量.对主要影响因子作回归分析,从而对塑料大棚应用于蛋鸡舍提出管理决策.
The actual Laying curve of a laying peeriod was used to analyse the variable features of laying rate and the influential factors on the laying rate of laying hens raised in plastic shed.The analysis by the grey relation degree shows that the influential factors about laying rate are the feeding dose,relative humidity,maximim temperature,maen daily temperature,minimum temperature and daily total radiation.Through the regression analysis of the major influential factors,the management Policy decision for plastic shed used as a laying house is put forward as follows,1)the chicken feces must be swept away once a week(summer and autumn)or once a month(spring and winter),if there is a pungent smell in the shed,it must be swept away promptly,2)in winter and early spring, according to the weather prognostics,the temperature in the shed should be raised and maintained at ≥13℃.
关键词
产蛋曲线
回归分析
塑料棚
鸡
Laying Curve
Grey Relation Degree
Regression Analysis