Computing optimal allocation of trials to subregions in crop‐variety testing in case of correlated genotype effects

IF 1.4 3区数学 Q2 STATISTICS & PROBABILITY

Statistica Neerlandica Pub Date : 2024-07-25 DOI:10.1111/stan.12353

Maryna Prus

引用次数: 0

Abstract

The subject of this work is the allocation of trials to subregions in crop variety testing in the case of correlated genotype effects. A solution for computation of optimal allocations using the OptimalDesign package in R is proposed. The obtained optimal designs minimize linear criteria based on the mean squared error matrix of the best linear unbiased prediction of the genotype effects. The proposed computational approach allows for any kind of additional linear constraint on the designs. The results are illustrated by a real data example.

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在基因型效应相关的情况下，计算作物品种测试中试验在次区域的最佳分配方案

这项工作的主题是在基因型效应相关的情况下，如何在作物品种测试中将试验分配到子区域。本文提出了一种使用 R 软件包 OptimalDesign 计算最优分配的解决方案。根据基因型效应的最佳线性无偏预测的均方误差矩阵，所获得的最优设计能最大限度地降低线性标准。所提出的计算方法允许对设计进行任何额外的线性约束。一个真实数据实例对结果进行了说明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistica Neerlandica 数学-统计学与概率论

CiteScore

2.60

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Statistica Neerlandica has been the journal of the Netherlands Society for Statistics and Operations Research since 1946. It covers all areas of statistics, from theoretical to applied, with a special emphasis on mathematical statistics, statistics for the behavioural sciences and biostatistics. This wide scope is reflected by the expertise of the journal’s editors representing these areas. The diverse editorial board is committed to a fast and fair reviewing process, and will judge submissions on quality, correctness, relevance and originality. Statistica Neerlandica encourages transparency and reproducibility, and offers online resources to make data, code, simulation results and other additional materials publicly available.