Reka Howard
TitleCited byYear
Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures
R Howard, AL Carriquiry, WD Beavis
G3: Genes, Genomes, Genetics 4 (6), 1027-1046, 2014
832014
Increasing genomic-enabled prediction accuracy by modeling genotype× environment interactions in Kansas wheat
D Jarquín, C Lemes da Silva, RC Gaynor, J Poland, A Fritz, R Howard, ...
The plant genome 10 (2), 2017
292017
Genome-wide analysis of grain yield stability and environmental interactions in a multiparental soybean population
A Xavier, D Jarquin, R Howard, V Ramasubramanian, JE Specht, ...
G3: Genes, Genomes, Genetics 8 (2), 519-529, 2018
122018
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype× environment interaction on prediction accuracy in chickpea
M Roorkiwal, D Jarquin, MK Singh, PM Gaur, C Bharadwaj, A Rathore, ...
Scientific reports 8 (1), 11701, 2018
72018
Application of response surface methods to determine conditions for optimal genomic prediction
R Howard, AL Carriquiry, WD Beavis
G3: Genes, Genomes, Genetics 7 (9), 3103-3113, 2017
42017
Assessing variation in maize grain nitrogen concentration and its implications for estimating nitrogen balance in the US North Central region
FAM Tenorio, AJ Eagle, EL McLellan, KG Cassman, R Howard, FE Below, ...
Field Crops Research 240, 185-193, 2019
22019
Increasing Predictive Ability by Modeling Interactions between Environments, Genotype and Canopy Coverage Image Data for Soybeans
D Jarquin, R Howard, A Xavier, S Das Choudhury
Agronomy 8 (4), 51, 2018
22018
Response surface analysis of genomic prediction accuracy values using quality control covariates in soybean
D Jarquín, R Howard, G Graef, A Lorenz
Evolutionary Bioinformatics 15, 1176934319831307, 2019
12019
Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction
R Howard
12016
Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery
J Li, AN Veeranampalayam-Sivakumar, M Bhatta, ND Garst, H Stoll, ...
Plant methods 15 (1), 123, 2019
2019
Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments
R Howard, D Gianola, O Montesinos-López, P Juliana, R Singh, J Poland, ...
G3: Genes, Genomes, Genetics 9 (9), 2925-2934, 2019
2019
Principal Variable Selection to Explain Grain Yield Variation in Winter Wheat from UAV-derived Phenotypic Traits
P Veeranampalayam-Sivakumar, V Belamkar, R Howard, Y Ge, Y Shi
2019
Genomic Prediction Using Canopy Coverage Image and Genotypic Information in Soybean via a Hybrid Model
R Howard, D Jarquin
Evolutionary Bioinformatics 15, 1176934319840026, 2019
2019
Package ‘SoyNAM’
A Xavier, W Beavis, J Specht, B Diers, R Mian, R Howard, G Graef, ...
2019
Principal Variable Selection to Explain Grain Yield Variation in Winter Wheat from UAV-derived Phenotypic Traits
J Li, M Bhatta, ND Garst, H Stoll, AN Veeranampalayam-Sivakumar, ...
2019 ASABE Annual International Meeting, 1, 2019
2019
Response Surface Methodology in Genomic Selection
R Howard
Plant and Animal Genome XXIV Conference, 2016
2016
Evaluation of a Computational Diagnostic for Epistasis in Plant Breeding Populations
R Howard, WD Beavis, A Carriquiry
bioRxiv, 044453, 2016
2016
UAV safety rules needed
R Howard
AVIATION WEEK & SPACE TECHNOLOGY 155 (11), 7-7, 2001
2001
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Articles 1–18