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Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

机译:灰色统计决策,用于估计区域小麦试验收益率

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The regional wheat trials are used to objectively, fairly, and scientifically evaluate the yield and other characteristics of new wheat varieties grown in different wheat regions, and provide important scientific basis for the validation, ecological zoning, species distribution, and rational use of wheat varieties. It can accelerate the promotion of new wheat varieties. The evaluation of regional trial results is of great significance for further improving the scientificity and accuracy of the species trial. Grey statistical decision-making of grey system theory can fully weigh the trial results in different places and make a reasonable assessment of wheat varieties. In this paper, the method used to estimate the regional wheat trials yield is proposed, and 12 varieties of wheat varieties were evaluated with examples. The results were credible. Grey statistical Decision-making assessment method for the regional trial yield of wheat varieties proposed in this paper provides a practical method for the evaluation of regional wheat trial.
机译:区域小麦试验用于客观,公平,科学地评估不同麦地区种植的新小麦品种的产量和其他特征,为验证,生态分区,物种分配和合理使用小麦品种提供重要的科学依据。它可以加速促进新小麦品种。对区域试验结果的评价对于进一步提高物种试验的科学性和准确性具有重要意义。灰色系统理论的灰色统计决策可以充分称量试验结果在不同的地方,并对小麦品种进行合理评估。本文提出了用于估计区域小麦试验产量的方法,并用实施例评价12种小麦品种。结果是可信的。本文提出的小麦品种区域试验产量的灰色统计决策评估方法提供了评估区域小麦试验的实用方法。

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