在模拟数据背景下ammi、w-ammi和gge方法的比较

Q4 Medicine

Revista Brasileira de Biometria Pub Date : 2020-09-29 DOI:10.28951/RBB.V38I3.433

Danilo A. Sarti, C. Dias

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引用次数: 1

摘要

基因型与环境的相互作用是植物育种和新品种开发的关键问题。这种相互作用的建模对植物育种决策和育种方案优化具有重要意义。在这种情况下，AMMI、W-AMMI和GGE模型声称解决了这种相互作用。本文旨在检验这些模型在面对具有良好参数属性的数据时的行为。结果表明，这三种模型都能有效地模拟GxE相互作用。

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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COMPARISON BETWEEN AMMI, W-AMMI AND GGE METHODOLOGY IN THE CONTEXT OF SIMULATED DATA

Genotype x environment interaction is a key issue in plant breeding and new cultivars development. The modelling of such interactions has huge importance to decisions in plant breeding and breeding program optimization. In this context AMMI, W-AMMI and GGE models claims to address such interactions. The present paper aims to check the behaviour of such models in face of data with well behaved parametric properties. The results shows that the three models are efficient to model GxE interactions.

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来源期刊

Revista Brasileira de Biometria Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)

自引率

0.00%

发文量

审稿时长

53 weeks