四川农业大学学报 ›› 1997, Vol. 15 ›› Issue (04): 424-430.doi: 10.16036/j.issn.1000-2650.1997.04.002

• 研究论文 • 上一篇    下一篇

三因素随机区组试验结果的二次回归分析法

黄玉碧, 明道绪, 荣廷昭   

  1. 四川农业大学数量遗传研究室, 雅安市 625014
  • 收稿日期:1996-11-26 出版日期:1997-12-31 发布日期:2017-03-07
  • 基金资助:
    国家自然科学基金资助项目

A QUADRATIC REGRESSION ANALYSIS METHOD FOR THE RESULTS OF RANDOMIZED BLOCK DESIGN WITH THREE EXPERIMENTAL FACTORS

Huang Yubi, Ming Daoxu   

  1. Quantitative Genetics Institute, Sichuan Agricultural University/Yaan, Sichuan, China 625014
  • Received:1996-11-26 Online:1997-12-31 Published:2017-03-07

摘要: 运用最小二乘原理,提出了三因素随机区组试验结果的二次回归分析法,包括建立试验指标与试验因素间的三元二次回归方程和有关显著性检验。此法开辟了分析因子试验结果的新途径,能从试验结果中提取新的重要信息,从而提高了因子试验结果的利用率。以一猪的饲养试验资料为例,介绍了该法的分析步骤。

关键词: 最小二乘原理, 随机区组试验, 二次回归分析, 显著性检验

Abstract: By applying the principle of least squares, a quadratic regression analysis method for the results of randomized block design with three experimental factor was proposed, which contains the development of the quadratic regression equation of an experimental yield on the three factors, and the significance tests involved. This method set up a new way to analyze the results of factor experiment. With this method, some new and important imformation can be gotten. In this way, it increases the using efficiency of factor experiment. this Method was illustrated by a husbandry experiment for swine.

Key words: LEAST SQUARES PRINCIPLE, RANDOMIZED BLOCK EXPERIMENT, QUADRATIC REGRESSION ANALYSIS, SIGNIFICANCE TEST

中图分类号: 

  • S11