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Clay, D
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Authors
Bhattarai, D
Clark, J
Clay, D
Ahlersmeyer, A
Clark, J.D
Clay, D
Osterloh, K
Ahlersmeyer, A
Clark, J
Osterloh, K
Clay, D
Topics
Soil Health Metrics
General
Graduate Award Student Poster
Type
Poster
Year
2020
2021
2022
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Filter results3 paper(s) found.

1. No-till corn nitrogen recommendation using precision soil management practices

In long-term no-till fields, South Dakota (SD) farmers reported a reduced fertilizer-nitrogen (N) requirement compared to conventional tillage to obtain optimum corn yield. Reduced fertilizer recommendation may be due to improved soil health resulting from increasing soil organic matter, higher soil microbial activities, and improved water and nutrient use efficiency over the years the no-till system is used. However, the impact of soil health measurements on fertilizer-N requirement has not been... D. Bhattarai, J. Clark, D. Clay

2. Implications of Clay Mineral Analysis for Improved Calibration of Corn Potassium Fertilizer Recommendations

Eastern South Dakota has seen an increase in soil potassium (K) deficiencies. To correct those deficiencies and avoid yield reductions, corn producers rely on accurate K fertilizer recommendations (KFRs). Among the various parameters used to estimate a KFR, clay mineralogy has significant potential to increase KFR accuracy. The study has two objectives: first, to determine the relationships among clay mineralogy, K uptake by corn, and KFRs, and second, to calibrate KFRs in South Dakota to incorporate... A. Ahlersmeyer, J. Clark, D. Clay, K. Osterloh

3. Consideration of Clay Mineralogy for Enhanced Prediction of Optimal Corn Potassium Fertilizer Rates

Properly calibrated potassium (K) fertilizer recommendations (KFRs) are critical for improving crop yields and maintaining environmental stewardship. Recent innovations in soil and crop management suggest that certain soil factors, including clay mineralogy, can be used to predict optimal K requirements in corn. The objectives of this study include 1) correlate soil K levels to corn yield, 2) calibrate KFRs with clay mineralogy data, and 3) determine the relationships among clay mineralogy, K... A. Ahlersmeyer, J. Clark, K. Osterloh, D. Clay