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Malachy T Campbell
Malachy T Campbell
Scientist - Inari Ag
Verified email at inari.com - Homepage
Title
Cited by
Cited by
Year
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
1722015
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
1652013
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
1182017
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
862016
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
832015
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
492018
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
432017
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
392019
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
342019
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
252019
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
242019
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
222021
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
212020
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
212020
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
192021
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
162019
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
152020
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
132022
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
132020
Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.)
MT Campbell, H Hu, TH Yeats, M Caffe-Treml, L Gutiérrez, KP Smith, ...
Genetics 217 (3), iyaa043, 2021
122021
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