Location: Sustainable Water Management Research
Publications
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Opinions on irrigation water management tools and alternative irrigation sources by Farmers from the Delta Region of Mississippi
- (Peer Reviewed Journal)
Singh, G., Quintana Ashwell, N.E., Kaur, G., Gholson, D., Locke, M.A., Krutz, J.L., Cooke, T. 2023. Opinions on irrigation water management tools and alternative irrigation sources by Farmers from the Delta Region of Mississippi. Journal of Contemporary Water Research and Education. 178(1):90-102. https://doi.org/10.1111/j.1936-704X.2023.3395.x.
Producer perceptions on the value and availability of water for irrigation in the Mississippi Delta
- (Peer Reviewed Journal)
Kaur, G., Ashwell,Nicolas, Q.E., Singh, G., Gholson, D., Locke, M.A., Krutz, J., Cooke, T. 2023. Producer perceptions on the value and availability of water for irrigation in the Mississippi Delta. Journal of Contemporary Water Research and Education. 178(1):60-70. https://doi.org/10.1111/j.1936-704X.2023.3393.x.
Evaluation of practices to unwrap round cotton modules
- (Peer Reviewed Journal)
Delhom, C.D., Van Der Sluijs, M.J., Wanjura, J.D., Thomas, J.W. 2023. Evaluation of practices to unwrap round cotton modules. Journal of Cotton Science. 27:90-101. https://doi.org/10.56454/IPOU8527.
Yield, fiber quality and textile outcomes from in-field blending of cotton seed at planting
- (Peer Reviewed Journal)
Delhom, C.D., Van Der Sluijs, M.J., Bange, M.P., Long, R.L., Nelson, A.M. 2023. Yield, fiber quality and textile outcomes from in-field blending of cotton seed at planting. Journal of Cotton Science. 27:1-11. https://doi.org/10.56454/PHCR9024.
Seasonal water quality trends in a tailwater recovery system in the Mississippi Delta
- (Peer Reviewed Journal)
Nelson, A.M., Witthaus, L.M., Moore, M.T., Griffith, M.K., Locke, M.A., Taylor, J.M., Lizotte Jr, R.E. 2023. Seasonal water quality trends in a tailwater recovery system in the Mississippi Delta. Agricultural Water Management. 78(1):26-32. https://doi.org/10.2489/jswc.2023.00090.
Internet of things: cotton production and processing
- (Peer Reviewed Journal)
Hardin, R.G., Barnes, E.M., Delhom, C.D., Wanjura, J.D., Ward, J.K. 2022. Internet of things: cotton production and processing. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.107294.
Eddy covariance quantification of corn (Zea mays L.) water use and yield responses to irrigations on farm-scale fields
- (Peer Reviewed Journal)
Anapalli, S.S., Srinivasa, P.R., Reddy, K.N., Signh, G. 2022. Eddy covariance quantification of corn (Zea mays L.) water use and yield responses to irrigations on farm-scale fields. Agronomy Journal. 114(4):2445-2457. https://doi.org/10.1002/agj2.21130.
Net photosynthesis acclimates to low growth temperature in cotton seedlings by shifting temperature thresholds for photosynthetic component processes and respiration
- (Peer Reviewed Journal)
Snider, J., Pilon, C., Hu, W., Wang, H., Tishchenko, V., Slaton, W., Chastain, D.R., Parkash, V. 2022. Net photosynthesis acclimates to low growth temperature in cotton seedlings by shifting temperature thresholds for photosynthetic component processes and respiration. Environmental and Experimental Botany. 196:104816. https://doi.org/10.1016/j.envexpbot.2022.104816.
Cover crops and landscape positions mediate corn–soybean production
- (Peer Reviewed Journal)
Singh, G., Dhakal, M., Sharma, A., Schoonover, J.E., Williard, K.J., Kaur, G. 2022. Cover crops and landscape positions mediate corn–soybean production. Agrosystems, Geosciences & Environment. 5(2):e20249. https://doi.org/10.1002/agg2.20249.
UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat
- (Peer Reviewed Journal)
Li, Z., Chen, Z., Cheng, Q., Duan, F., Sui, R., Huang, X., Xu, H. 2022. UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat. Agronomy. 12(1):202. https://doi.org/10.3390/agronomy12010202.
Investigating soybean (Glycine max L.) responses to irrigation on a large-scale farm in the humid climate of the Mississippi Delta region
- (Peer Reviewed Journal)
Anapalli, S.S., Pinnamaneni, S., Reddy, K.N., Sui, R., Singh, G. 2022. Investigating soybean (Glycine max L.) responses to irrigation on a large-scale farm in the humid climate of the Mississippi Delta region. Agricultural Water Management. 262:107432. https://doi.org/10.1016/j.agwat.2021.107432.
A quantitative review of irrigation development in the Yazoo–Mississippi Delta from 1991 to 2020
- (Peer Reviewed Journal)
Lo, T., Pringle, H. 2021. A quantitative review of irrigation development in the Yazoo–Mississippi Delta from 1991 to 2020. Agronomy. 11(12):2548. https://doi.org/10.3390/agronomy11122548.
Positive mathematical programming to model regional or basin-wide implications of producer adoption of practices emerging from plot-based research
- (Peer Reviewed Journal)
Quintana-Ashwell, N., Kaur, G., Singh, G., Gholson, D., Delhom, C.D., Krutz, J., Hedge, S. 2021. Positive mathematical programming to model regional or basin-wide implications of producer adoption of practices emerging from plot-based research. Agronomy Journal. 11(11):2204. https://doi.org/10.3390/agronomy11112204.
Profitability of twin-row planting and skip-row irrigations in a humid climate
- (Peer Reviewed Journal)
Quintana-Ashwell, N., Anapalli, S.S., Pinnamaneni, S.R., Kaur, G., Reddy, K.N., Fisher, D.K. 2021. Profitability of twin-row planting and skip-row irrigations in a humid climate. Agronomy Journal. 114(2):1209-1219. https://doi.org/10.1002/agj2.20847.
Effects of nitrogen rate and cover crop on cotton (Gossypium hirsutum L.) yield and soil water content
- (Peer Reviewed Journal)
Sui, R., Anapalli, S.S. 2021. Effects of nitrogen rate and cover crop on cotton (Gossypium hirsutum L.) yield and soil water content. Agriculture. 11(7):650. https://doi.org/10.3390/agriculture11070650.
Assessing the effects of agronomic management practices on soybean (Glycine max L.,) residue quality in the lower Mississippi Delta
- (Peer Reviewed Journal)
Pinnamaneni, S., Anapalli, S.S. 2021. Assessing the effects of agronomic management practices on soybean (Glycine max L.,) residue quality in the lower Mississippi Delta. Plants. https://doi.org/10.3390/plants10071337.
Eddy Covariance quantification of soybean (Glycine Max L.) crop coefficients in a farmer’s field in a humid climate
- (Peer Reviewed Journal)
Anapalli, S.S., Krutz, J., Pinnamaneni, S.R., Reddy, K.N., Fisher, D.K. 2021. Eddy Covariance quantification of soybean (Glycine Max L.,) water requirements and crop coefficients in a humid climate. Irrigation Science. 39:651–669. https://doi.org/10.1007/s00271-021-00742-2.
Water use efficiencies of different maturity group soybean cultivars in the humid Mississippi Delta
- (Peer Reviewed Journal)
Pinnamaneni, S., Anapalli, S.S., Fisher, D.K., Reddy, K.N. 2021. Water use efficiencies of different maturity group soybean cultivars in the humid Mississippi Delta. International Journal of Agronomy. 13(11):1496. https://doi.org/10.3390/w13111496.
Effect of irrigation and planting geometry on soybean seed nutrition in humid climates
- (Peer Reviewed Journal)
Pinnamaneni, S.R., Anapalli, S.S., Bellaloui, N., Reddy, K.N. 2021. Effect of irrigation and planting geometry on soybean seed nutrition in humid climates. Crop, Forage & Turfgrass Management. 2021. Article 6625919. https://doi.org/10.1155/2021/6625919.
Python software integrates with microcontrollers and electronic hardware to ease development for open-source research and scientific applications
- (Peer Reviewed Journal)
Fisher, D.K., Fletcher, R.S., Anapalli, S.S., Pinnameneni, S.R. 2021. Python software integrates with microcontrollers and electronic hardware to ease development for open-source research and scientific applications. Modern Intrumentation. https://doi.org/10.4236/ait.2021.111004.
Vulnerabilities of irrigated and rainfed corn to climate change in a humid climate
- (Peer Reviewed Journal)
Anapalli, S.S., Fisher, D.K., Pinnamaneni, S.R., Reddy, K.N. 2021. Vulnerabilities of irrigated and rainfed corn to climate change in a humid climate. Climatic Change. 164(5):1-18. https://doi.org/10.1007/s10584-021-02999-0.
Effect of irrigation and planting geometry on cotton fiber quality and seed composition
- (Peer Reviewed Journal)
Pinnamaneni, S.R., Anapalli, S.S., Sui, R., Bellaloui, N., Reddy, K.N. 2021. Effect of irrigation and planting geometry on cotton fiber quality and seed composition. Plants. 4(2):1-11. https://doi.org/10.1186/s42397-020-00078-w.
Effects of irrigation and planting geometry on cotton productivity and water use efficiency
- (Peer Reviewed Journal)
Pinnamaneni, S.R., Anapalli, S.S., Reddy, K.N., Fisher, D.K. 2020. Effects of irrigation and planting geometry on cotton productivity and water use efficiency. Journal of Cotton Science. 24(2):87-96.
Development and evaluation of a variable rate irrigation method in Mississippi Delta
- (Peer Reviewed Journal)
Sui, R., Baggard, J.L. 2021. Development and evaluation of a variable rate irrigation method in Mississippi Delta. Transactions of the ASABE. 64(1): 287-298. https://doi.org/10.13031/trans.14019.
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa
- (Peer Reviewed Journal)
Falconnier, G.N., Coreels, M., Boote, K.J., Affholder, F., Adam, M., Ruane, A.C., Ahuja, L.R., Anapalli, S.S., Baron, C., Basso, B., Baudron, F., Bertuzzi, P., Timlin, D.J. 2020. Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa. Global Change Biology. 1-48. https://doi.org/10.1111/gcb.15261.
Assessing irrigation water use efficiency and economy of twin-row soybean in the Mississippi Delta
- (Peer Reviewed Journal)
Pinnamaneni, S.R., Anapalli, S.S., Reddy, K.N., Fisher, D.K., Quintanta Ashwell, N.E. 2020. Assessing irrigation water use efficiency and economy of twin-row soybean in the Mississippi Delta. Agronomy Journal. 112(5):4219-4231. https://doi.org/10.1002/agj2.20321.
Evaluation of a descision support system for variable rate irrigration in humid region
- (Peer Reviewed Journal)
Sui, R., Oshaughnessy, S.A., Evett, S.R., Andrade, M.A., Baggard, J.L. 2020. Evaluation of a descision support system for variable rate irrigration in humid region. Transactions of the ASABE. 63(5):1207-1215. https://doi.org/10.13031/trans.13904.
Comparison of sensor-based and weather-based irrigation scheduling
- (Peer Reviewed Journal)
Sui, R., Vories, E.D. 2020. Comparison of sensor-based and weather-based irrigation scheduling. Applied Engineering in Agriculture. 36(3):375-386. https://doi.org/10.13031/aea.13678.
Comparison of sensor-based and weather-based irrigation scheduling
- (Peer Reviewed Journal)
Sui, R., Vories, E.D. 2020. Comparison of sensor-based and weather-based irrigation scheduling. Applied Engineering in Agriculture. 36(3): 375-386. https://doi.org/10.13031/aea.13678.
Qunatifying evapotranpsiration and crop coefficients for cotton (Gossypium hirsutum L.) using an eddy covariance approach
- (Peer Reviewed Journal)
Anapalli, S.S., Fisher, D.K., Rao, S.P., Reddy, K.N. 2020. Qunatifying evapotranpsiration and crop coefficients for cotton (Gossypium hirsutum L.) using an eddy covariance approach. Agricultural Water Management. 233:106091. https://doi.org/10.1016/j.agwat.2020.106091.
Sensor-based irrigation scheduling
- (Abstract Only)
Variable rate irrigation management in Mississippi Delta
- (Abstract Only)
Progress report in development of air-bar lint cleaner
- (Abstract Only)
Sui, R. 2020. Progress report in development of air-bar lint cleaner. National Cotton Council Beltwide Cotton Conference. ..
Soil organic carbon and aggregation in response to thirty-nine years of tillage management in the southeastern U.S
- (Peer Reviewed Journal)
Singh, S., Nouri, A., Singh, S., Anapalli, S.S., Lee, S., Arelli, P.R., Jagadamma, S. 2019. Soil organic carbon and aggregation in response to thirty-nine years of tillage management in the southeastern U.S. Soil and Tillage Research. 197:1-9. https://doi.org/10.1016/j.still.2019.104523.
Evaluation of a decision support system for variable rate irrigation in humid region
- (Abstract Only)
Evolving open-source technologies offer options for remote sensing and monitoring in agriculture
- (Peer Reviewed Journal)
Fisher, D.K., Fletcher, R.S., Anapalli, S.S. 2019. Evolving open-source technologies offer options for remote sensing and monitoring in agriculture. Advances in Internet of Things. 10:1-10. https://doi.org/10.4236/ait.2020.101001.
Modeling evapotranspiration for irrigation water management in a humid climate
- (Peer Reviewed Journal)
Anapalli, S.S., Fisher, D.K., Reddy, K.N., Rajan, N., Pinnamaneni, S.R. 2019. Modeling evapotranspiration for irrigation water management in a humid climate. Agricultural Water Management. 225:105731. https://doi.org/10.1016/j.agwat.2019.105731.
A real-time fuzzy decision support system for alfalfa irrigation
- (Peer Reviewed Journal)
Li, M., Sui, R., Yangyang, M., Yan, H. 2019. A real-time fuzzy decision support system for alfalfa irrigation. Computers and Electronics in Agriculture. 163:104870.
Using aerial and digital photography and aerial imagery to monitor growth and yield in winter wheat
- (Peer Reviewed Journal)
Olanrewaju, S., Rajan, N., Ibrahim, A.M., Rudd, J.C., Liu, S., Sui, R., Jessup, K.E., Xue, Q. 2019. Using aerial and digital photography and aerial imagery to monitor growth and yield in winter wheat. International Journal of Remote Sensing. 40(18):6905-6929. https://doi.org/10:1080/01431161.2019.1597303.
Soil moisture sensor test with Mississippi Delta soils
- (Peer Reviewed Journal)
Sui, R., Pringle, H.C., Barnes, E.M. 2019. Soil moisture sensor test with Mississippi Delta soils. Transactions of the ASABE. 62(2):363-370.
Effect of row spacing and irrigation on cotton lint yield and fiber properties
- (Abstract Only)
Pinnamaneni, S.R., Anapalli, S.S., Reddy, K.N., Sui, R., Fisher, D.K., Bellaloui, N., Boykin, D.L. 2019. Effect of row spacing and irrigation on cotton lint yield and fiber properties. Mississippi Water Resources Research Conference Proceedings. ..
Contrasting evapotranspiration requirements of staple row crops in the MS Delta
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Anapalli, S.S., Reddy, K.N. 2019. Contrasting evapotranspiration requirements of staple row crops in the MS Delta. Mississippi Water Resources Research Conference Proceedings. ..
Quantifying water and CO2 fluxes and water use efficiencies across irrigated C3 and C4 crops in a humid climate
- (Peer Reviewed Journal)
Anapalli, S.S., Fisher, D.K., Reddy, K.N., Krutz, L.J., Rao, S.P., Sui, R. 2019. Quantifying water and CO2 fluxes and water use efficiencies across irrigated C3 and C4 crops in a humid climate. Science of the Total Environment. 663:338-350.
Modern Eddy Covariance monitoring of crop water requirements in farms for real-time water management applications
- (Proceedings)
Anapalli, S.S., Murrell, C. 2019. Modern Eddy Covariance monitoring of crop water requirements in farms for real-time water management applications. National Conservation Tillage Cotton and Rice Conference Proceedings. ..
Performance assessment of a variable-rate fertilizer applicator
- (Peer Reviewed Journal)
Sui, R. 2019. Performance assessment of a variable-rate fertilizer applicator. Journal of Agricultural Science. 11(2): 25-30.
Open-source wireless cloud-connected agricultural sensor network
- (Peer Reviewed Journal)
Fisher, D.K., Woodruff, L.K., Anapalli, S.S., Pinnamaneni, S. 2018. Open-source wireless cloud-connected agricultural sensor network. Journal of Sensor and Actuator Networks. 7(4):47.
Comparison of sensor-based irrigation scheduling method and Arkansas irrigation scheduler
- (Proceedings)
Sui, R., Vories, E.D. 2018. Comparison of sensor-based irrigation scheduling method and Arkansas irrigation scheduler. Irrigation Show & Education Conference, Dec. 3-7, 2018, Long Beach, CA. pp 1-8. 2018. (Proceedings)
Soybean irrigation initiation in Mississippi: Yield, soil moisture, and economic response
- (Peer Reviewed Journal)
Pringle, H.C., Falconer, L.L., Fisher, D.K., Krutz, L.J. 2019. Soybean irrigation initiation in Mississippi: Yield, soil moisture, and economic response. Applied Engineering in Agriculture. 35(1):39-50.
An eddy covariance quantification of soybean evapotranspiration in the Mississippi Delta
- (Peer Reviewed Journal)
Comparison of RZWQM2 simulated evapotranspiration with Eddy Covariance estimates
- (Abstract Only)
Anapalli, S.S., Reddy, K.N., Ahuja, L.R. 2018. Comparison of RZWQM2 simulated evapotranspiration with Eddy Covariance estimates. Abstract of Agronomy Meetings. ..
Conservation tillage impacts and adaptations in irrigated corn production in a humid climate
- (Peer Reviewed Journal)
Anapalli, S.S., Reddy, K.N., Jagadamma, S. 2018. Conservation tillage impacts and adaptations in irrigated corn production in a humid climate. Agronomy Journal. 110(6):1-14.
Evapotranspiration measurement using Eddy Covariance Systems for irrigation scheduling
- (Abstract Only)
Sui, R., Anapalli, S.S., Baggard, J.L., Murrell, C. 2018. Evapotranspiration measurement using Eddy Covariance Systems for irrigation scheduling. Mississippi Water Resources Research Conference Proceedings. ..
Center-pivot-mounted sensing system for monitoring plant height and canopy temperature
- (Peer Reviewed Journal)
Sui, R., Baggard, J.L. 2018. Center-pivot-mounted sensing system for monitoring plant height and canopy temperature. Transactions of the ASABE. 61(3):831-837.
Quantifying crop coefficients for corn irrigation scheduling in the lower MS Delta using an eddy covariance method
- (Abstract Only)
Anapalli, S.S., Reddy, K.N., Fisher, D.K., Sui, R. 2019. Quantifying crop coefficients for corn irrigation scheduling in the lower MS Delta using an eddy covariance method. Mississippi Water Resources Research Conference Proceedings. ..
Development of an open-source cloud-connected sensor-monitoring platform
- (Peer Reviewed Journal)
Fisher, D.K., Fletcher, R.S., Anapalli, S.S., Pringle III, H.C. 2017. Development of an open-source cloud-connected sensor-monitoring platform. Advances in Internet of Things. 8:1-11.
Mobile open-source plant-canopy monitoring system
- (Peer Reviewed Journal)
Fisher, D.K., Huang, Y. 2017. Mobile open-source plant-canopy monitoring system. Modern Intrumentation. 6:1-13.
Irrigation scheduling using soil moisture sensors
- (Peer Reviewed Journal)
Sui, R. 2017. Irrigation scheduling using soil moisture sensors. Journal of Agricultural Science. 10(1):1-11.