Crop response to thermal stress without yield loss in irrigated maize and soybean in Nebraska
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DOI: 10.1016/j.agwat.2022.107946
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- Bhatti, Sandeep & Heeren, Derek M. & Barker, J. Burdette & Neale, Christopher M.U. & Woldt, Wayne E. & Maguire, Mitchell S. & Rudnick, Daran R., 2020. "Site-specific irrigation management in a sub-humid climate using a spatial evapotranspiration model with satellite and airborne imagery," Agricultural Water Management, Elsevier, vol. 230(C).
- Daniele Masseroni & Bianca Ortuani & Martina Corti & Pietro Marino Gallina & Giacomo Cocetta & Antonio Ferrante & Arianna Facchi, 2017. "Assessing the Reliability of Thermal and Optical Imaging Techniques for Detecting Crop Water Status under Different Nitrogen Levels," Sustainability, MDPI, vol. 9(9), pages 1-20, August.
- Ko, Jonghan & Piccinni, Giovanni, 2009. "Corn yield responses under crop evapotranspiration-based irrigation management," Agricultural Water Management, Elsevier, vol. 96(5), pages 799-808, May.
- Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Trout, Thomas J., 2016. "Estimating maize water stress by standard deviation of canopy temperature in thermal imagery," Agricultural Water Management, Elsevier, vol. 177(C), pages 400-409.
- Singh, Jasreman & Ge, Yufeng & Heeren, Derek M. & Walter-Shea, Elizabeth & Neale, Christopher M.U. & Irmak, Suat & Woldt, Wayne E. & Bai, Geng & Bhatti, Sandeep & Maguire, Mitchell S., 2021. "Inter-relationships between water depletion and temperature differential in row crop canopies in a sub-humid climate," Agricultural Water Management, Elsevier, vol. 256(C).
- Zhang, Huimeng & Xiong, Yunwu & Huang, Guanhua & Xu, Xu & Huang, Quanzhong, 2017. "Effects of water stress on processing tomatoes yield, quality and water use efficiency with plastic mulched drip irrigation in sandy soil of the Hetao Irrigation District," Agricultural Water Management, Elsevier, vol. 179(C), pages 205-214.
- O’Shaughnessy, Susan A. & Kim, Minyoung & Andrade, Manuel A. & Colaizzi, Paul D. & Evett, Steven R., 2020. "Site-specific irrigation of grain sorghum using plant and soil water sensing feedback - Texas High Plains," Agricultural Water Management, Elsevier, vol. 240(C).
- Jingwen Zhang & Kaiyu Guan & Bin Peng & Ming Pan & Wang Zhou & Chongya Jiang & Hyungsuk Kimm & Trenton E. Franz & Robert F. Grant & Yi Yang & Daran R. Rudnick & Derek M. Heeren & Andrew E. Suyker & Wi, 2021. "Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- DeJonge, Kendall C. & Taghvaeian, Saleh & Trout, Thomas J. & Comas, Louise H., 2015. "Comparison of canopy temperature-based water stress indices for maize," Agricultural Water Management, Elsevier, vol. 156(C), pages 51-62.
- Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
- Payero, Jose O. & Melvin, Steven R. & Irmak, Suat & Tarkalson, David, 2006. "Yield response of corn to deficit irrigation in a semiarid climate," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 101-112, July.
- Barker, J. Burdette & Heeren, Derek M. & Neale, Christopher M.U. & Rudnick, Daran R., 2018. "Evaluation of variable rate irrigation using a remote-sensing-based model," Agricultural Water Management, Elsevier, vol. 203(C), pages 63-74.
- Kullberg, Emily G. & DeJonge, Kendall C. & Chávez, José L., 2017. "Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients," Agricultural Water Management, Elsevier, vol. 179(C), pages 64-73.
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Keywords
Crop water stress1; Evapotranspiration2; Irrigation3; Thermal sensing4; Maize5; Soybean6;All these keywords.
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