Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
N
Nathan A. Slaton
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: University of Arkansas System (2001–2026); National Agricultural Library (2024); Highlands Oncology Group (2004); Parallel Quantum Solutions (United States) (2023); Fayetteville Public Library (2011); Institute of Crop Science (2013); Virginia Tech (2024)
Faculty Researcher
32 h-index
190 pubs
3,136 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Nathan A. Slaton's research program focuses on soil fertility and nutrient management, particularly the correlation and calibration of soil tests for fertilizer recommendations. He has been involved in the development of a USA-wide soil test correlation and calibration database, aiming to improve the accuracy and consistency of nutrient recommendations across different regions.
His work has investigated variations in phosphorus and potassium recommendations across the southern United States and explored corn yield responses to fertilization in Arkansas. Slaton has also examined the effects of salinity on rice cultivation and weed control. His publications address methodologies for soil test correlation and calibration research, including defining relative yield and establishing minimum dataset guidelines.
Slaton holds a professorship at the University of Arkansas at Fayetteville and has a publication record of 190 items, with an h-index of 32 and over 3,000 citations. He collaborates with several researchers at the University of Arkansas, including Gerson Laerson Drescher, Trenton L. Roberts, Michael P. Popp, and Aurelie M. Poncet.
Metrics
- h-index: 32
- Publications: 190
- Citations: 3,136
Selected Publications
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Development of calibrated in‐season corrective potassium applications for irrigated soybean (2026)
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Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US (2025)
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Field trial guidelines for evaluating enhanced efficiency fertilizers (2024)
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Soil texture and organic matter prediction using Mehlich‐3 extractable nutrients (2024)
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Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South (2023)
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Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol (2023)
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Potassium losses in runoff from cotton production fields (2023)
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Potassium Fertilizer Rate Recommendations: Does Accounting for Soil Stock of Potassium Matter? (2023)
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A spreadsheet for determining critical soil test values using the modified arcsine‐log calibration curve (2022)
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Profit‐maximizing potassium fertilizer recommendations for corn and cotton (2022)
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Salinity effects on rice, rice weeds, and strategies to secure crop productivity and effective weed control. A review (2022)
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Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA (2021)
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Developing a post‐season tissue test for rice nitrogen management (2020)
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Rice yield response to potassium: An economic analysis (2020)
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Soybean maturity group and planting date influence grain yield and nitrogen dynamics (2020)
Collaboration Network
Top Collaborators
Trenton L. Roberts
University of Arkansas at Fayetteville
5 shared publications
In database
- Potassium losses in runoff from cotton production fields
- Profit‐maximizing potassium fertilizer recommendations for corn and cotton
- Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol
- Potassium Fertilizer Rate Recommendations: Does Accounting for Soil Stock of Potassium Matter?
- Development of calibrated in‐season corrective potassium applications for irrigated soybean
Michael P. Popp
University of Arkansas System
4 shared publications
In database
- Profit‐maximizing potassium fertilizer recommendations for corn and cotton
- Potassium Fertilizer Rate Recommendations: Does Accounting for Soil Stock of Potassium Matter?
- Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South
- Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US
Deanna L. Osmond
North Carolina State University (US)
3 shared publications
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
- Field trial guidelines for evaluating enhanced efficiency fertilizers
- A spreadsheet for determining critical soil test values using the modified arcsine‐log calibration curve
Aurelie M. Poncet
University of Arkansas System
3 shared publications
In database
- Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol
- Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South
- Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US
Kimberly B. Oliver
University of Arkansas at Fayetteville
2 shared publications
In database
- Profit‐maximizing potassium fertilizer recommendations for corn and cotton
- Potassium Fertilizer Rate Recommendations: Does Accounting for Soil Stock of Potassium Matter?
Gerson Laerson Drescher
University of Arkansas at Fayetteville
2 shared publications
In database
- Profit‐maximizing potassium fertilizer recommendations for corn and cotton
- Potassium Fertilizer Rate Recommendations: Does Accounting for Soil Stock of Potassium Matter?
Carrie C. Ortel
Virginia Tech (US)
2 shared publications
- Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol
- Development of calibrated in‐season corrective potassium applications for irrigated soybean
Kyle A. Hoegenauer
University of Arkansas at Fayetteville
2 shared publications
In database
- Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol
- Development of calibrated in‐season corrective potassium applications for irrigated soybean
Bayarbat Badarch
University of Arkansas System
2 shared publications
In database
- Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South
- Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US
Hailin Zhang
Oklahoma State University (US)
1 shared publication
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
João Arthur Antonângelo
Oklahoma State University
1 shared publication
In database
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
John H. Grove
University of Kentucky (US)
1 shared publication
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
Shannon Recca Alford
Clemson University (US)
1 shared publication
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
Robert Jason Florence
University of Tennessee at Knoxville (US)
1 shared publication
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
Gobena Huluka
Auburn University (US)
1 shared publication
- Variation in soil‐test‐based phosphorus and potassium rate recommendations across the southern USA
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