Follow
Byron Evers
Byron Evers
Verified email at ksu.edu
Title
Cited by
Cited by
Year
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
X Wang, H Xuan, B Evers, S Shrestha, R Pless, J Poland
GigaScience 8 (11), giz120, 2019
722019
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods
E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics, 2021
712021
Dedicated bioenergy crop impacts on soil wind erodibility and organic carbon in Kansas
BJ Evers, H Blanco‐Canqui, SA Staggenborg, J Tatarko
Agronomy Journal 105 (5), 1271-1276, 2013
312013
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images
X Wang, P Silva, NM Bello, D Singh, B Evers, S Mondal, FP Espinosa, ...
Frontiers in Plant Science 11, 587093, 2020
152020
Genetic characterization and curation of diploid A-genome wheat species
L Adhikari, J Raupp, S Wu, D Wilson, B Evers, DH Koo, N Singh, B Friebe, ...
Plant Physiology 188 (4), 2101-2114, 2022
142022
Accelerating wheat breeding for end‐use quality through association mapping and multivariate genomic prediction
S Zhang‐Biehn, AK Fritz, G Zhang, B Evers, R Regan, J Poland
The Plant Genome 14 (3), e20164, 2021
132021
A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations
L Adhikari, S Shrestha, S Wu, J Crain, L Gao, B Evers, D Wilson, Y Ju, ...
Scientific reports 12 (1), 17583, 2022
92022
Evaluation of field‐based single plant phenotyping for wheat breeding
J Crain, X Wang, B Evers, J Poland
The Plant Phenome Journal 5 (1), e20045, 2022
72022
Wheat doubled haploids have a marked prevalence of chromosomal aberrations
S Shrestha, DH Koo, B Evers, S Wu, S Walkowiak, P Hucl, C Pozniak, ...
The Plant Genome 16 (2), e20309, 2023
32023
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat. Gigascience 8
X Wang, H Xuan, B Evers
22019
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
P Silva, B Evers, A Kieffaber, X Wang, R Brown, L Gao, A Fritz, J Crain, ...
G3 12 (7), jkac064, 2022
12022
Breeding Program Optimization for Genomic Selection in Winter Wheat
M Calvert, B Evers, X Wang, A Fritz, J Poland
bioRxiv, 2020.10. 07.330415, 2020
12020
Identifying novel sources of resistance to wheat stem sawfly in five wild wheat species
ES Peirce, B Evers, ZJ Winn, WJ Raupp, M Guttieri, AK Fritz, J Poland, ...
Pest Management Science, 2024
2024
UAS-Based Evaluation of Wild Relative Introgression into Winter Wheat.
D Davidson, M Nyine, B Evers, A Fritz, E Akhunov
ASA, CSSA, SSSA International Annual Meeting, 2023
2023
Author Correction: A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations
L Adhikari, S Shrestha, S Wu, J Crain, L Gao, B Evers, D Wilson, Y Ju, ...
Scientific Reports 13, 2023
2023
Spectral correlation between wheat genotype replications over the visible and near-infrared spectrum
X Yang, X Wang, B Evers, Y Cui, J Poland
Remote Sensing Letters 13 (12), 1203-1212, 2022
2022
Predictability of Soil Physical and Chemical Properties Using Soil Sensor Data: A First Approach Using Veris P4000 Sensor
EEG Brito, GM Hettiarachchi, MK Rekhi, B Evers, R Kumarasinghe, ...
ASA, CSSA, SSSA International Annual Meeting, 2022
2022
Predicting Wheat GxE with Probabilistic Crop Modeling
P Alderman, P Poudel, S Welch, B Evers, GM Hettiarachchi, LA Haag
ASA, CSSA, SSSA International Annual Meeting, 2022
2022
Field-based Single Plant Phenotyping for Plant Breeding
J Crain, X Wang, B Evers, J Poland
Wiley, 2022
2022
Implementing sensor technology to evaluate genetic and spatial variability within the Kansas State University Wheat Breeding program
BJ Evers
Kansas State University, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20