Joint Modeling of Genetics and Field Variation in Plant Breeding Trials Using Relationship and Different Spatial Methods: A Simulation Study of Accuracy and Bias
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Title
Joint Modeling of Genetics and Field Variation in Plant Breeding Trials Using Relationship and Different Spatial Methods: A Simulation Study of Accuracy and Bias
Authors
Keywords
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Journal
Agronomy-Basel
Volume 11, Issue 7, Pages 1397
Publisher
MDPI AG
Online
2021-07-13
DOI
10.3390/agronomy11071397
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- Genetic Architecture of Phenomic-Enabled Canopy Coverage inGlycine max
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- (2015) P. Perdikaris et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
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