| Integrating image-based phenomics and association analysis to dissect the genetic architecture of temporal salinity responses in rice MT Campbell, AC Knecht, B Berger, CJ Brien, D Wang, H Walia Plant physiology 168 (4), 1476-1489, 2015 | 173 | 2015 |
| Introgression of novel traits from a wild wheat relative improves drought adaptation in wheat DF Placido, MT Campbell, JJ Folsom, X Cui, GR Kruger, PS Baenziger, ... Plant Physiology 161 (4), 1806-1819, 2013 | 167 | 2013 |
| Allelic variants of OsHKT1; 1 underlie the divergence between indica and japonica subspecies of rice (Oryza sativa) for root sodium content MT Campbell, N Bandillo, FRA Al Shiblawi, S Sharma, K Liu, Q Du, ... PLoS genetics 13 (6), e1006823, 2017 | 119 | 2017 |
| Genetic and molecular characterization of submergence response identifies Subtol6 as a major submergence tolerance locus in maize MT Campbell, CA Proctor, Y Dou, AJ Schmitz, P Phansak, GR Kruger, ... PloS one 10 (3), e0120385, 2015 | 87 | 2015 |
| Image Harvest: an open-source platform for high-throughput plant image processing and analysis AC Knecht, MT Campbell, A Caprez, DR Swanson, H Walia Journal of experimental botany 67 (11), 3587-3599, 2016 | 86 | 2016 |
| Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping MT Campbell, H Walia, G Morota Plant Direct 2, 1-11, 2018 | 49 | 2018 |
| A Comprehensive Image-based Phenomic Analysis Reveals the Complex Genetic Architecture of Shoot Growth Dynamics in Rice (Oryza sativa) MT Campbell, Q Du, K Liu, CJ Brien, B Berger, C Zhang, H Walia The plant genome, 2017 | 45 | 2017 |
| Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits M Campbell, M Momen, H Walia, G Morota The Plant Genome 12 (2), 180075, 2019 | 39 | 2019 |
| Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines M Momen, MT Campbell, H Walia, G Morota G3: Genes, Genomes, Genetics 9 (10), 3369-3380, 2019 | 34 | 2019 |
| Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations H Hu, MT Campbell, TH Yeats, X Zheng, DE Runcie, ... Theoretical and Applied Genetics 134, 4043-4054, 2021 | 26 | 2021 |
| Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies M Momen, MT Campbell, H Walia, G Morota Plant methods 15, 1-14, 2019 | 25 | 2019 |
| Genomic Bayesian confirmatory factor analysis and Bayesian network to characterize a wide spectrum of rice phenotypes H Yu, MT Campbell, Q Zhang, H Walia, G Morota G3: Genes, Genomes, Genetics 9 (6), 1975-1986, 2019 | 25 | 2019 |
| Genome‐wide discovery of natural variation in pre‐mRNA splicing and prioritising causal alternative splicing to salt stress response in rice H Yu, Q Du, M Campbell, B Yu, H Walia, C Zhang New Phytologist 230 (3), 1273-1287, 2021 | 23 | 2021 |
| Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa) MT Campbell, Q Du, K Liu, S Sharma, C Zhang, H Walia BMC genomics 21, 1-16, 2020 | 22 | 2020 |
| Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping T Baba, M Momen, MT Campbell, H Walia, G Morota Plos one 15 (2), e0228118, 2020 | 21 | 2020 |
| Network‐based feature selection reveals substructures of gene modules responding to salt stress in rice Q Du, M Campbell, H Yu, K Liu, H Walia, Q Zhang, C Zhang Plant Direct 3 (8), e00154, 2019 | 17 | 2019 |
| Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice MT Campbell, A Grondin, H Walia, G Morota Journal of experimental botany 71 (18), 5669-5679, 2020 | 16 | 2020 |
| Statistical methods for the quantitative genetic analysis of high-throughput phenotyping data G Morota, D Jarquin, MT Campbell, H Iwata High-Throughput Plant Phenotyping: Methods and Protocols, 269-296, 2022 | 14 | 2022 |
| Improving genomic prediction for seed quality traits in oat (Avena sativa L.) using trait-specific relationship matrices MT Campbell, H Hu, TH Yeats, LJ Brzozowski, M Caffe-Treml, L Gutiérrez, ... Frontiers in genetics 12, 643733, 2021 | 14 | 2021 |
| Variance heterogeneity genome‐wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions W Hussain, MT Campbell, D Jarquin, H Walia, G Morota The Plant Genome 13 (1), e20011, 2020 | 14 | 2020 |
Gota MorotaVirginia Polytechnic Institute and State University,在 vt.edu 的电子邮件经过验证
