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籼稻谷品质与储藏温度和时间的回归方程研究
引用本文:王超,张瑞,姚明兰,周建新,林娇,张杜娟,杨国峰.籼稻谷品质与储藏温度和时间的回归方程研究[J].粮食储藏,2012,41(4):42-45.
作者姓名:王超  张瑞  姚明兰  周建新  林娇  张杜娟  杨国峰
作者单位:1. 江苏省丹阳市产品质量监督检验所 212300
2. 南京财经大学江苏省粮油品质控制及深加工技术重点实验室 210046
基金项目:江苏省科技支撑计划农业部分(项目编号BE2008396)
摘    要:通过模拟储藏,研究了不同温度和时间对储藏籼稻谷品质的影响.结果表明:温度越高和时间越长,储藏籼稻谷的含水量、出糙率、整精米率和发芽率下降越快,而脂肪酸值上升越快,储藏稻谷品质陈化速度越快,低温储藏有利于减缓稻谷品质的下降.方差分析表明储藏温度和时间是籼稻谷各品质变化的极显著影响因素.通过SPSS分析软件将上述这些指标(Y)与储藏温度(T)和时间(D)进行二元线性回归方程的拟合,都符合Y=aT +bD+c (P<0.01),表明籼稻谷各项品质指标与储藏温度和时间呈显著的二元线性关系.

关 键 词:籼稻谷  温度  时间  品质  相关性  回归方程

REGRESSION EQUATION ON QUALITY OF INDICA RICE WITH STORAGE TEMPERATURE AND TIME
Wang Chao , Zhang Rui , Yao minglan , Zhou Jianxin , Lin Jiao , Zhang Dujuan , Yang Guofeng.REGRESSION EQUATION ON QUALITY OF INDICA RICE WITH STORAGE TEMPERATURE AND TIME[J].Grain Storage,2012,41(4):42-45.
Authors:Wang Chao  Zhang Rui  Yao minglan  Zhou Jianxin  Lin Jiao  Zhang Dujuan  Yang Guofeng
Institution:1 Jiangsu Danyang Products Quality Supervision Test Institute 212300)(2 Jiangsu Provincial Key lab of Quality Controls and Further Processing of Grain and Oils, Nanjing University of Finance and Economics 210046)
Abstract:The effects of different temperature and time on quality of stored indica rice were investigated by simulated storage.Results:The higher the temperature and the longer the time,the moisture content,husked rice yield from paddy,head rice yield of paddy and germination rate declined further,fatty acid value increased further,and the aging speed of stored paddy became faster.The paddy stored at low temperature was benefit to slow down the decline of its qualities.Storage temperature and time had very significantly effect on the change of quality of paddy by analysis of ANOVA.The binary linear regression equation between the indexes above(Y)and storage temperature(T) and storage time(D)all met Y=aT+bD+c(P<0.01) by SPSS analysis software,so the quality indicators of paddy had very significantly binary linear relationship with storage temperature and storage time.
Keywords:indica rice  temperature  time  quality  correlation  regression equation
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