S
Samuel B. Fernandes Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
Center for Agricultural Data Analytics
14 h-index
69 pubs
975 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Samuel B. Fernandes is an Assistant Professor at the Center for Agricultural Data Analytics, part of the Arkansas Agricultural Experiment Station. His research primarily focuses on agricultural genomics and the application of advanced computational methods to plant breeding. Fernandes investigates the genetic basis of traits related to water use efficiency (WUE) and photosynthetic efficiency in crops such as sorghum and maize. He utilizes genome-wide association studies (GWAS) and machine learning techniques to analyze large datasets, combining genetic, phenotypic, and environmental information to predict crop yield and identify quantitative trait loci (QTLs). His work also explores comparative evolutionary genetics within plant species. Fernandes holds a h-index of 14, with 67 publications and 947 citations. He collaborates with researchers from the University of Arkansas at Fayetteville, including Kristofor R. Brye, Mike Daniels, Caio Canella Vieira, and Igor Kuivjogi Fernandes.
Metrics
- h-index: 14
- Publications: 69
- Citations: 975
Selected Publications
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Dissecting genetic variance structure and evaluating genomic prediction models for single-cross hybrids derived from Stiff Stalk and Non-Stiff Stalk maize heterotic groups (2026)
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Nonlinear genomic selection index accelerates multi-trait crop improvement (2026)
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Optimizing population simulations to accurately parallel empirical data for digital breeding (2026)
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High‐Throughput Screen of <scp>NPQ</scp> in Sorghum Shows Highly Polygenic Architecture of Photoprotection (2026)
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Replication Data for: Nonlinear Genomic Selection Index Accelerates Multi-Trait Crop Improvement (2025)
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Fluridone use in furrow-irrigated rice: Palmer amaranth control and crop response (2025)
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Genomic prediction and association mapping of early season flood tolerance in soybean (2025)
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Biochar type and rate effects on greenhouse gas emissions from furrow‐irrigated rice (2025)
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Improving Multi-Trait Genomic Prediction Efficiency Through The Incorporation Of Synthetic Traits Selected Based on Co-heritability (2025)
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Optimizing population simulations to accurately parallel empirical data for digital breeding (2025)
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High throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection (2025)
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Realized genetic gain with reciprocal recurrent selection in a Eucalyptus breeding program (2024)
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Near-Surface Soil Chemical Properties as Affected by Cover Crops Over Time in the Lower Mississippi River Valley (2024)
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Assessing Soybean Cultivar Resistance to Target Spot Using a Detached Leaf Assay (2024)
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Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions (2024)
Collaboration Network
Top Collaborators
Alexander E. Lipka
University of Illinois Urbana-Champaign (US)
15 shared publications
- Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping
- How Well Can Multivariate and Univariate GWAS Distinguish Between True and Spurious Pleiotropy?
- A multi‐trait multi‐locus stepwise approach for conducting GWAS on correlated traits
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Assessment of two statistical approaches for variance genome-wide association studies in plants
Showing 5 of 15 shared publications
Andrew D. B. Leakey
University of Illinois Urbana-Champaign (US)
9 shared publications
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Can improved canopy light transmission ameliorate loss of photosynthetic efficiency in the shade? An investigation of natural variation in<i>Sorghum bicolor</i>
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
Showing 5 of 9 shared publications
Patrick J. Brown
University of Illinois Urbana-Champaign (US)
8 shared publications
- Comparative evolutionary genetics of deleterious load in sorghum and maize
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Can improved canopy light transmission ameliorate loss of photosynthetic efficiency in the shade? An investigation of natural variation in<i>Sorghum bicolor</i>
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
Showing 5 of 8 shared publications
John N. Ferguson
7 shared publications
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
- High throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection
- Improving Multi-Trait Genomic Prediction Efficiency Through The Incorporation Of Synthetic Traits Selected Based on Co-heritability
Showing 5 of 7 shared publications
Roberto Lozano
Cornell University (US)
6 shared publications
- Comparative evolutionary genetics of deleterious load in sorghum and maize
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
Showing 5 of 6 shared publications
Ravi Valluru
Cornell University (US)
6 shared publications
- Comparative evolutionary genetics of deleterious load in sorghum and maize
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
Showing 5 of 6 shared publications
Edward S. Buckler
Cornell University (US)
6 shared publications
- Comparative evolutionary genetics of deleterious load in sorghum and maize
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
Showing 5 of 6 shared publications
Michael A. Gore
Cornell University (US)
6 shared publications
- Comparative evolutionary genetics of deleterious load in sorghum and maize
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
Showing 5 of 6 shared publications
Brandon Monier
6 shared publications
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
- WEST Diversity Panel GBS information (Ferguson et al., 2020)
- High throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection
- High‐Throughput Screen of <scp>NPQ</scp> in Sorghum Shows Highly Polygenic Architecture of Photoprotection
Showing 5 of 6 shared publications
Martin Bohn
University of Illinois Urbana-Champaign (US)
6 shared publications
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Optimizing population simulations to accurately parallel empirical data for digital breeding
Showing 5 of 6 shared publications
Carl J. Bernacchi
5 shared publications
- Can improved canopy light transmission ameliorate loss of photosynthetic efficiency in the shade? An investigation of natural variation in<i>Sorghum bicolor</i>
- Photosynthetic Performance Measurements in Biomass Sorghum Varietals in Central Illinois during Four Growing Seasons.
- High throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection
- High‐Throughput Screen of <scp>NPQ</scp> in Sorghum Shows Highly Polygenic Architecture of Photoprotection
- High‐Throughput Screen of <scp>NPQ</scp> in Sorghum Shows Highly Polygenic Architecture of Photoprotection
Rafael Della Coletta
University of Minnesota System (US)
5 shared publications
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Optimizing population simulations to accurately parallel empirical data for digital breeding
Candice N. Hirsch
University of Minnesota (US)
5 shared publications
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Linking genetic and environmental factors through marker effect networks to understand trait plasticity
- Importance of genetic architecture in marker selection decisions for genomic prediction
- Optimizing population simulations to accurately parallel empirical data for digital breeding
Jason K. Norsworthy
University of Arkansas at Fayetteville
5 shared publications
In database
- Effect of Palmer amaranth (<i>Amaranthus palmeri</i>) time of emergence on furrow-irrigated rice yields and weed seed production
- Impact of cover crops on furrow-irrigated rice and Palmer amaranth (<i>Amaranthus palmeri</i>) emergence
- Rice cultivar tolerance to preemergence and postemergence-applied fluridone
- Effect of crop density on Palmer amaranth ( <i>Amaranthus palmeri</i> ) emergence and weed density interference potential in a furrow-irrigated rice system
- Fluridone use in furrow-irrigated rice: Palmer amaranth control and crop response
Thomas R. Butts
Purdue University West Lafayette (US)
5 shared publications
- Effect of Palmer amaranth (<i>Amaranthus palmeri</i>) time of emergence on furrow-irrigated rice yields and weed seed production
- Impact of cover crops on furrow-irrigated rice and Palmer amaranth (<i>Amaranthus palmeri</i>) emergence
- Rice cultivar tolerance to preemergence and postemergence-applied fluridone
- Effect of crop density on Palmer amaranth ( <i>Amaranthus palmeri</i> ) emergence and weed density interference potential in a furrow-irrigated rice system
- Fluridone use in furrow-irrigated rice: Palmer amaranth control and crop response
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