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中国农学通报 ›› 2014, Vol. 30 ›› Issue (33): 133-140.doi: 10.11924/j.issn.1000-6850.2014-1164

• 农学 农业基础科学 • 上一篇    下一篇

对作物区域试验中参试品种产量统计方法问题的探讨

杨忠妍,任晓利,李素英,何艳琴,刘 苗,孙世贤,刘正理   

  1. 河北省农林科学院谷子研究所
  • 收稿日期:2014-04-21 修回日期:2014-04-21 接受日期:2014-08-18 出版日期:2015-01-08 发布日期:2015-01-08
  • 通讯作者: 杨忠妍
  • 基金资助:
    国家科技支撑计划“谷子杂种优势利用研究”(2011BAD06B01)。

Study on the Method of Statistics Analysis of Tested Varieties Yield in Regional Crop Trials

  • Received:2014-04-21 Revised:2014-04-21 Accepted:2014-08-18 Online:2015-01-08 Published:2015-01-08

摘要: 品种区域试验是作物品种评价、布局和推广的依据。在国家谷子品种区域试验中,由于试点间地力或管理水平不同,各试点的产量水平差别很大,往往存在一点或少数试点产量水平明显高于或低于其他试点,这些试点的产量数据在汇总时占的份额过高,导致这些试点结果对整体试验结果影响过大,甚至基本可以决定整体试验结果的情况。因而,如何使试验结果比较客观、准确地反映参试品种的实际产量水平,一直是制约区域试验工作和品种审定工作的难题。针对这一问题,作者在多年从事国家谷子品种区域试验的实践中,总结出用各承试点的理论产量代替实际产量进行汇总,即将各承试点对照的产量进行平均,然后,以这一数据为基础,依据参试品种在各承试点较对照增减产的比例,计算它们在相应试点的理论产量,将各承试点的产量调整到同一水平,剔除地力等因素对产量的影响。经验证,该方法统计的参试品种较对照增减产比例与各试点增减产比例的平均数基本一致,基本反映了参试品种的实际产量水平。取得了较好的效果,对区试资料的汇总工作具有较大参考意义。

关键词: 微生物区系, 微生物区系

Abstract: Variety regional trial is an important stage in the process of crop variety registration, breeding and extension. The result of the yield is an important basis of variety registration. But the yield level of one or few sites was often obviously higher or lower than that of other sites in the national millet regional trials. In addition, the yield data of these sites, which accounts for a too high share in data summary, might decide the whole testing result. Therefore, how to reflect the actual yield level of tested varieties more objectively and accurately has restricted the work of regional trial and variety registration. In order to solve this problem, actual yield of every sites were replaced by theoretical yield in the sites by the author who engaged in national millet regional trials for many years. Firstly, the yields of the control of all sites were averaged. Secondly, according to the proportion of yield increase or decrease compared with the control in tested varieties of each site, the author counted the theoretical yield in the corresponding sites based on the data in first step. Thirdly, the author adjusted the yield level of all sites to the same level, then eliminated the influencing factors, such as land capacity and so on. It was verified that the proportion of yield increase or decrease compared with the control counted by this method was basically identical with the average proportion of yield increase or decrease in tested varieties of each site. This method could basically reflect the actual yield level of tested varieties. Great effect had been achieved and the method had great significance to the summary of the regional trials data.