Application of the factor analytic model to assess wheat falling number performance and stability in multienvironment trials
Author:
Affiliation:
1. Dep. of Crop and Soil Sciences Washington State Univ. PO Box 646420 Pullman WA 99164 USA
2. Wheat Health, Genetics and Quality Research Unit USDA‐ARS PO Box 646420 Pullman WA 99164 USA
Funder
Washington Grain Commission
National Institute of Food and Agriculture
Publisher
Wiley
Subject
Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20293
Reference30 articles.
1. Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction
2. Butler D.(2020).asreml: Fits the linear mixed model. R package version 4.1.0.126. VSN International. Retrieved fromwww.vsni.co.uk
3. The use of unbalanced historical data for genomic selection in an international wheat breeding program
4. Late‐maturity α‐amylase expression in wheat is influenced by genotype, temperature and stage of grain development;Derkx A. P.;Planta,2020
5. Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials
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