Location: Grassland Soil and Water Research Laboratory
Publications
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LiDAR-based estimation of corn (Zea Mays L.) plant height and leaf area index across multiple planting dates
- (Abstract Only)
Greenhouse gas emissions from corn fields as influenced by cover crop management
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A meta-analysis to understand the combined effect of cover cropping and nitrogen fertilization on corn yield in the U.S.
- (Abstract Only)
Enhancing leaf area index estimation with multispectral imagery and machine learning
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Early seedling counts: Enhancing producer confidence
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Optimizing corn yield through strategic nitrogen application
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From reflectance to yield: Understanding corn production metrics
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Corn yield response and water use efficiency following cover crop management in rainfed corn production system
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Widening global variability in grassland biomass since the 1980s
- (Peer Reviewed Journal)
The LTAR cropland common experiment at the Texas Gulf
- (Peer Reviewed Journal)
Yost, J.L., Smith, D.R., Adhikari, K., Arnold, J.G., Collins, H.P., Flynn, K.C., Hajda, C.B., Menefee, D.S., Mohanty, B.P., Schantz, M.C., Thorp, K.R., White, M.J. 2024. The LTAR cropland common experiment at the Texas Gulf. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20592.
Evaluating the role of alternative grazing strategies on plant production and soil health across a decade timescale
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The LTAR-integrated grazing land common experiment at the Texas Gulf
- (Peer Reviewed Journal)
Schantz, M.C., Smith, D.R., Harmel, R.D., Goodwin, D.J., Tolleson, D.R., Osorio Leyton, J.M., Flynn, K.C., Krecker-Yost, J.L., Thorp, K.R., Arnold, J.G., White, M.J., Adhikari, K., Hajda, C.B. 2024. The LTAR-integrated grazing land common experiment at the Texas Gulf. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20573.
Evaluating the role of grazing strategies on plant production and soil health across a decade timescale
- (Abstract Only)
Version 1.3.0 - pyfao56: FAO-56 evapotranspiration in Python
- (Peer Reviewed Journal)
Thorp, K.R., DeJonge, K.C., Pokowski, T., Gulati, D., Kukal, M., Farag, F., Hashem, A., Erismann, G., Baumgartner, T., Holzkaemper, A. 2024. Version 1.3.0 - pyfao56: FAO-56 evapotranspiration in Python. SoftwareX. 26. Article 101724. https://doi.org/10.1016/j.softx.2024.101724.
Monitoring cotton water status with microtensiometers
- (Peer Reviewed Journal)
Christensen, C.G., Gohardoust, M.R., Calleja, S., Thorp, K.R., Tuller, M., Pauli, D. 2024. Monitoring cotton water status with microtensiometers. Irrigation Science. 42:995-1011. https://doi.org/10.1007/s00271-024-00930-w.
Understanding within-field variation in Nitrogen Use Efficiency (NUE) using proximal sensing, field observations, and machine learning
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Evaluating intra-field spatial variability for nutrient management zone delineation through geospatial techniques and multivariate analysis
- (Peer Reviewed Journal)
Salem, H.M., Schott, L.R., Piaskowski, J., Chapagain, A., Yost, J.L., Brooks, E., Johnson-Maynard, J. 2024. Evaluating intra-field spatial variability for nutrient management zone delineation through geospatial techniques and multivariate analysis. Sustainability. 16(2). Article 645. https://doi.org/10.3390/su16020645.
Forecasting plant production across Great Basin rangelands
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Forecasting rangeland plant production by ecological sites; are they better than forecasts by geographical location
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