Ehsan Shakiba
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: University of Arkansas System (2018–2025); Northwest University (2009); University of Agriculture Faisalabad (2009)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ehsan Shakiba's research focuses on the genetic improvement of crops, particularly wheat and soybean, through advanced genomic prediction models and quantitative trait locus (QTL) identification. His work investigates strategies to enhance grain yield and nutritional content, addressing challenges such as environmental stress and disease resistance. Shakiba has explored the genetic basis for traits like sucrose and protein content in soybeans and has contributed to understanding how awns in wheat influence yield under heat stress. He has also examined bacterial communities in rice crop fields, analyzing their role in the rhizosphere. His research utilizes genome-wide association studies and genomic prediction models to improve crop breeding efficiency. Shakiba has a publication record of 37 papers, with an h-index of 12 and 430 total citations. He has collaborated with researchers at the University of Arkansas at Fayetteville, including D. G. North, Andy Pereira, and Pengyin Chen.
Metrics
- h-index: 12
- Publications: 37
- Citations: 439
Selected Publications
-
Integration of marker-assisted and field selection in developing TGMS lines for hybrid rice in the southern United States (2025)
-
Registration of ‘TX17D2337’ soft red winter wheat (2025)
-
Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region (2024)
-
Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information (2024)
-
Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States (2024)
-
Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States (2024)
-
Identification of Quantitative Trait Loci (QTL) for Sucrose and Protein Content in Soybean Seed (2024)
-
Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States (2023)
-
Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill (2023)
-
Facile analysis of rice bran oil to compare free unsaturated fatty acid compositions of parental and hybrid rice lines (2022)
-
Evaluation of Traits Associated With Seed Characteristics in Arkansas Restorer Lines (2021)
-
Inheritance and Allelic Relationships of Resistance Genes for <i>Soybean mosaic virus</i> in ‘Corsica’ and ‘Beeson’ Soybean (2013)
-
Two Novel Alleles at the <i>Rsv 3</i> Locus for Resistance to <i>Soybean Mosaic Virus</i> in PI 399091 and PI 61947 Soybeans (2012)
-
Reactions of Mid‐Southern U.S. Soybean Cultivars to <i>Bean Pod Mottle Virus</i> and <i>Tobacco Ringspot Virus</i> (2012)
-
Reactions of Commercial Soybean Cultivars from the Mid South to <i>Soybean Mosaic Virus</i> (2012)
Collaboration Network
Top Collaborators
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
Showing 5 of 7 shared publications
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
Showing 5 of 7 shared publications
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
Showing 5 of 7 shared publications
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
Showing 5 of 6 shared publications
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
Showing 5 of 6 shared publications
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
- Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region
Showing 5 of 6 shared publications
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region
- Registration of ‘TX17D2337’ soft red winter wheat
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL12034‐10’ oat: A new dual‐purpose disease resistant cultivar for Florida and southern United States
- Registration of ‘TX17D2337’ soft red winter wheat
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
- Registration of ‘TX17D2337’ soft red winter wheat
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Registration of ‘FL16045‐25’: An early‐maturing, high‐yielding, disease‐resistant soft red facultative wheat cultivar for the southern United States
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
- Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States
- Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill
Similar Researchers
Based on overlapping research topics