Caio Canella Vieira

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor of Soybean Breeding

University of Arkansas primary UA Div. of Agriculture

Also affiliated: Universidade de São Paulo (2015); University of Arkansas System (2026); University of Missouri (2019–2023)

Crop, Soil and Environmental Sciences

14 h-index 89 pubs 690 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Caio Canella Vieira's research focuses on soybean breeding, genetics, and genomics. His work investigates methods to improve soybean varieties, including breeding for disease resistance and enhancing nutritional value while reducing antinutritional traits. He has explored the application of unmanned aerial vehicle (UAV)-based high-throughput phenotyping and machine learning techniques to improve the accuracy of variety selection and predict crop yield. Vieira also studies the differentiation of soybean responses to herbicide damage using UAV imagery and machine learning. His research has been published in numerous peer-reviewed journals, contributing to a body of work that has garnered him an h-index of 14 and over 690 citations. He frequently collaborates with researchers at the University of Arkansas at Fayetteville, including Dongho Lee, Pengyin Chen, and Leandro Mozzoni.

Metrics

h-index: 14
Publications: 89
Citations: 690

Positions

Assistant Professor of Soybean Breeding 2023–present

University of Arkansas at Fayetteville Crop, Soil, and Environmental Sciences ORCID

Selected Publications

The Plant Genome special section: Multi‐omics prediction in plant breeding (2026)

The Plant Genome DOI OpenAlex
Quantitative trait loci analysis identifying novel genomic regions for off-target dicamba tolerance in soybean [Glycine max (L.) Merr.] (2026)

BMC Plant Biology DOI OpenAlex
Phenotypic and genotypic analyses of large‐seeded soybean germplasm for vegetable soybean breeding (2026)

Crop Science DOI OpenAlex
Registration of high‐yielding conventional soybean ‘R18‐14502’ with broad adaptability in the U.S. Mid‐South (2026)

Journal of Plant Registrations DOI OpenAlex
Measurement Technique Effects on Greenhouse Gas Emissions from Conventionally Tilled, Furrow-Irrigated Soybean on a Silt-Loam Soil (2026)

Atmosphere DOI OpenAlex
Identifying and managing Cercospora leaf blight in soybean: From scouting to best management practices (2026)

Crop Forage & Turfgrass Management DOI OpenAlex
Registration of ‘R18C‐13665’: A high‐yielding conventional soybean cultivar (2026)

Journal of Plant Registrations DOI OpenAlex
Registration of ‘S18PR‐190 HOLL’: A soybean cultivar with high oleic and low linolenic acid seed oil and multiple disease resistance (2026)

Journal of Plant Registrations DOI OpenAlex
Using variety testing data to select soybean varieties: Guidelines for practitioners (2025)

Crop Forage & Turfgrass Management 1 citation DOI OpenAlex
Genome-wide association study reveals cytochrome P450 associated with post- emergence metribuzin tolerance in soybean (Glycine max) (2025)

Research Square DOI OpenAlex
Registration of high yield conventional soybean ‘S17‐2193’ with resistance to multiple diseases (2025)

Journal of Plant Registrations DOI OpenAlex
Registration of ‘R19C‐1012’: A high‐yielding soybean cultivar with improved flooding tolerance at early vegetative stages (2025)

Journal of Plant Registrations DOI OpenAlex
Registration of R19‐42848 as a drought‐tolerant, high‐yielding soybean germplasm line (2025)

Journal of Plant Registrations 3 citations DOI OpenAlex
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials (2024)

Theoretical and Applied Genetics 41 citations DOI OpenAlex
Across-environment seed protein stability and genetic architecture of seed components in soybean (2024)

Scientific Reports 8 citations DOI OpenAlex