A Weighted AMMI Algorithm to Study Genotype-by-Environment Interaction and QTL-by-Environment Interaction-Reference-Cited by-同舟云学术

A Weighted AMMI Algorithm to Study Genotype-by-Environment Interaction and QTL-by-Environment Interaction

Published:2014-07 Issue:4 Volume:54 Page:1555-1570
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Rodrigues Paulo C.¹²,Malosetti Marcos³,Gauch Hugh G.⁴,van Eeuwijk Fred A.³

Affiliation:

1. CMA/FCT/UNL, Faculty of Sciences and Technology; Nova Univ. of Lisbon; 2829-516 Caparica Portugal

2. Dep. of Statistics; Federal Univ. of Bahia; Av. Ademar de Barros CEP: 40170-110 Salvador BA Brazil

3. Biometris; Wageningen Univ. and Research Centre; P.O. Box 100 Wageningen The Netherlands

4. Crop and Soil Sciences; Cornell Univ.; Ithaca, New York 14853

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2013.07.0462/fullpdf

Reference62 articles.

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3. An alternative methodology for imputing missing data in trials with genotype-by-environment interaction;Arciniegas-Alarcón;Biometrical Letters,2010

4. A high-resolution, intraspecific linkage map of pepper (Capsicum annuum L.) and selection of reduced recombinant inbred line subsets for fast mapping;Barchi;Genome,2007

5. Testing for gene-gene interaction with AMMI models;Barhdadi;Stat. Appl. Genet. Mol. Biol.,2010

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