Refereed Publications

Rahman, M. M., Kamruzzaman, M., Shahid, S., Thorp, K. R., Rahaman, H., Shahriyar, M. M., Islam, A. K. M. S., Huda, M. D., 2023. A GIS framework to demarcate suitable lands for combine harvesters using satellite DEM and physical properties of soil. Journal of Geovisualization and Spatial Analysis 7 (27). doi:10.1007/s41651-023-00156-y [PDF]

Thorp, K. R., Brekel, J., DeJonge, K. C., 2023. Version 1.2.0 - pyfao56: FAO-56 evapotranspiration in Python. SoftwareX 24 (101518). doi:10.1016/j.softx.2023.101518 [PDF]

Ayankojo, I. T., Thorp, K. R., Thompson, A. L., 2023. Advances in the application of small unoccupied aircraft systems (sUAS) for high-throughput plant phenotyping. Remote Sensing 15 (2623). doi:10.3390/rs15102623 [PDF]

Kamruzzaman, M., Wahid, S., Shahid, S., Alam, E., Mainuddin, M., Islam, H. M. T., Cho, J., Rahman, M. M., Biswas, J. C., Thorp, K. R., 2023. Predicted changes in future precipitation and air temperature across Bangladesh using CMIP6 GCMs. Heliyon 9 (e16274). doi:10.1016/j.heliyon.2023.e16274 [PDF]

Malone, R. W., Radke, A., Herbstritt, S., Wu, H., Qi, Z., Emmett, B. D., Helmers, M. J., Shulte, L. A., Feyereisen, G. W., O’Brien, P. L., Kovar, J. L., Rogovska, N., Kladivko, E. J., Thorp, K. R., Kaspar, T. C., Jaynes, D. B., Karlen, D. L., Richard, T. L., 2023. Harvested winter rye energy cover crop: multiple benefits for North Central US. Environmental Research Letters 18 (074009). doi:10.1088/1748-9326/acd708 [PDF]

Chen, X., Hou, Y., Kastner, T., Liu, L., Zhang, Y., Yin, T., Li, M., Malik, A., Li, M., Thorp, K. R., Han, S., Liu, Y., Muhammad, T., Liu, J., Li, Y., 2023. Physical and virtual nutrient flows in global telecoupled agricultural trade networks. Nature Communications 14 (2391). doi:10.1038/s41467-023-38094-4 [PDF]

Maqsood, H., Hunsaker, D. J., Waller, P., Thorp, K. R., French, A., Elshikha, D. E., Loeffler, R., 2023. WINDS model demonstration with field data from a furrow-irrigated cotton experiment. Water 15 (1544). doi:10.3390/w15081544 [PDF]

Marek, G. W., Evett, S. R., Thorp, K. R., DeJonge, K. C., Marek, T. H., Brauer, D. K., 2023. Characterizing evaporative losses from sprinkler irrigation using large weighing lysimeters. Journal of the ASABE 66 (2), 353–365. doi:10.13031/ja.15300 [PDF]

Brekel, J., Thorp, K. R., DeJonge, K. C., Trout, T. J., 2023. Version 1.1.0 - pyfao56: FAO-56 evapotranspiration in Python. SoftwareX 22 (101336). doi:10.1016/j.softx.2023.101336 [PDF]

Kimball, B. A., Thorp, K. R., Boote, K. J., Stockle, C. O., Suyker, A. E., Evett, S. R., Brauer, D. K., Coyle, G. G., Copeland, K. S., Marek, G. W., Colaizzi, P. D., Acutis, M., Alimagham, S., Archontoulis, S. V., Babacar. F., Barcza, Z., Basso, B., Bertuzzi, P., Constantin, J., De Antoni Migliorati, M., Dumont, B., Durand, J., Fodor, N., Gaiser, T., Garofalo, P., Gayler, S., Giglio, L., Grant, R., Guan, K., Hoogenboom, G., Jiang, Q., Kim, S., Kisekka, I., Lizaso, J. I., Masia, S., Meng, H., Mereu, V., Mukhtar, A., Perego, A., Peng, B., Priesack, E., Qi, Z., Shelia, V., Snyder, R., Soltani, A., Spano, D., Srivastava, A., Thomson, A., Timlin, D., Trabucco, A., Webber, H., Weber, T., Willaume, M., Williams, K., Van der Laan, M., Ventrella, D., Viswanathan, M., Xu, X., Zhou, W., 2023. Simulation of evapotranspiration and yield of maize: An inter-comparison among 41 maize models. Agricultural and Forest Meteorology 333 (109396). doi:10.1016/j.agrformet.2023.109396 [PDF]

Elshikha, D. E. M., Wang, G., Waller, P. M., Hunsaker D. J., Dierig D. A., Thorp, K. R., Thompson, A. L., Katterman, M. E., Herritt, M. T., Bautista, E., Ray, D. T., Wall, G. W., 2022. Guayule growth and yield responses to deficit irrigation strategies in the U.S. desert. Agricultural Water Management 277 (108093). doi:10.1016/j.agwat.2022.108093 [PDF]

Kimball, B. A., Thorp, K. R., Barnes, E. M., Choi, C. Y., Clarke, T. R., Colaizzi, P. D., Fitzgerald, G. J., Haberland, J. A., Hendrey, G., Hunsaker, D. J., Kostrzewski, M. A., LaMorte, R. L., Leavitt, S. W., Lewin, K., Mauney, J. R., Nagy, J., Pinter, Jr., P. J., Waller, P. M., 2022. Cotton response to CO₂ , water, nitrogen, and plant density - A repository of FACE, AgIIS, and FISE experiment data. Open Data Journal for Agricultural Research 8 (1), 1–5. doi:10.18174/odjar.v8i0.18152 [PDF]

Thorp, K. R., 2022. pyfao56: FAO-56 evapotranspiration in Python. SoftwareX 19 (101208). doi:10.1016/j.softx.2022.101208 [PDF]

Chen, X., Liu, C., Van Oel, P., Mekonnen, M. M., Thorp, K. R., Yin, T., Wang, J., Muhammad, T., Li, Y., 2022. Water and carbon risks within hydropower development on national scale. Applied Energy 325 (119872). doi:10.1016/j.apenergy.2022.119872 [PDF]

Herritt, M. T., Thompson, A. L., Thorp, K. R., 2022. Irrigation management impacts on cotton reproductive development and boll distribution. Crop Science 62 (4), 1559–1572. doi:10.1002/csc2.20749 [PDF]

Elshikha, D. E. M., Hunsaker, D. J., Waller, P. M., Thorp, K. R., Dierig, D., Wang, G., Cruz, V. M. V., Katterman, M. E., Bronson, K. F., Wall, G. W., Thompson, A. L., 2022. Estimation of direct-seeded guayule cover, crop coefficient, and yield using UAS-based multispectral and RGB data. Agricultural Water Management 265 (107540). doi:10.1016/j.agwat.2022.107540 [PDF]

Thompson, A. L., Conley, M. M., Herritt, M. T., Thorp, K. R., 2022. Response of upland cotton (Gossypium hirsutum L.) leaf chloropyll content to high heat and low-soil water in the Arizona low desert. Photosynthetica 60 (2), 123–135. doi:10.32615/ps.2022.014 [PDF]

Thorp, K. R., Calleja, S., Pauli, D., Thompson, A. L., Elshikha, D. E., 2022. Agronomic outcomes of precision irrigation management technologies with varying complexity. Journal of the ASABE 65 (1), 135–150. doi:10.13031/ja.14950 [PDF]

Pugh, N. A., Thorp, K. R., Gonzalez, E. M., Elshikha, D. E. M., Pauli, D., 2021. Comparison of image georeferencing strategies for agricultural applications of small unoccupied aircraft systems. The Plant Phenome Journal 4 (20026). doi:10.1002/ppj2.20026 [PDF]

Melandri, G., Thorp, K. R., Broeckling, C., Thompson, A. L., Hinze, L., Pauli, D., 2021. Assessing drought and heat stress-induced changes in the cotton leaf metabolome and their relationship with hyperspectral reflectance. Frontiers in Plant Science 12 (751868). doi:10.3389/fpls.2021.751868 [PDF]

Thorp, K. R., Drajat, D., 2021. Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia. Remote Sensing of Environment 265 (112679). doi:10.1016/j.rse.2021.112679 [PDF]

Elshikha, D. E. M., Waller, P. M., Hunsaker, D. J., Dierig, D. A., Wang, G., Cruz, V. M. V., Thorp, K. R., Katterman, M. E., Bronson, K. F., Wall, G. W., 2021. Growth, water use, and crop coefficients of direct-seeded guayule with furrow and subsurface drip irrigation in Arizona. Industrial Crops and Products 170, 113819. doi:10.1016/j.indcrop.2021.113819 [PDF]

Wang, D. R., Venturas, M. D., Mackay, D. S., Hunsaker, D. J., Thorp, K. R., Gore, M. A., Pauli, D., 2020. Use of hydraulic traits for modeling genotype-specific acclimation in cotton under drought. New Phytologist 228 (3), 898–909. doi:10.1111/nph.16751 [PDF]

Ayankojo, I. T., Thorp, K. R., Morgan, K. T., Kothari, K., Ale, S., 2020. Assessing the impacts of future climate on cotton production in the Arizona low desert. Transactions of the ASABE 63 (4), 1087–1098. doi:10.13031/trans.13731 [PDF]

Thorp, K. R., DeJonge, K. C., Marek, G. W., Evett, S. R., 2020. Comparison of evapotranspiration methods in the DSSAT Cropping System Model: I. Global sensitivity analysis. Computers and Electronics in Agriculture 177 (105658). doi:10.1016/j.compag.2020.105658 [PDF]

Thorp, K. R., Marek, G. W., DeJonge, K. C., Evett, S. R., 2020. Comparison of evapotranspiration methods in the DSSAT Cropping System Model: II. Algorithm performance. Computers and Electronics in Agriculture 177 (105679). doi:10.1016/j.compag.2020.105679 [PDF]

Thompson, A. L., Thorp, K. R., Conley, M. M., Roybal, M., Moller, D., Long, J. C., 2020. A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system. Plant Methods 16 (97). doi:10.1186/s13007-020-00639-9 [PDF]

Barnes, E. M., Campbell, B. T., Vellidis, G., Porter, W. M., Payero, J. O., Leib, B. G., Sui, R., Fisher, D. K., Anapalli, S., Colaizzi, P. D., Bordovsky, J. P., Porter, D. O., Ale, S., Mahan, J., Taghvaeian, S., Thorp, K. R., 2020. Forty years of increasing cotton’s water productivity and why the trend will continue. Applied Engineering in Agriculture 36 (4), 457–478. doi:10.13031/aea.13911 [PDF]

Bronson, K. F., Conley, M. M., French, A. N., Hunsaker, D. J., Thorp, K. R., Barnes, E. M., 2020. Which active optical sensor vegetation index is best for nitrogen status assessment in irrigated cotton? Agronomy Journal 112, 2205–2218. doi:10.1002/agj2.20120 [PDF]

De la Cruz Jiménez, J., Leiva, L., Cardoso, J. A., French, A. N., Thorp, K. R., 2020. Proximal sensing of Urochloa grasses increases selection accuracy. Crop & Pasture Science 71 (4), 401–409. doi:10.1071/CP19324 [PDF]

DeJonge, K. C., Thorp, K. R., Marek, G. W., 2020. The apples and oranges of reference and potential evapotranspiration: Implications for agroecosystem models. Agricultural & Environmental Letters 5, e20011. doi:10.1002/ael2.20011 [PDF]

Huang, J., Ridoutt, B. G., Sun, Z., Lan, K., Thorp, K. R., Wang, X., Yin, X., Huang, J., Chen, F., Scherer, L., 2020. Balancing food production within the planetary water boundary. Journal of Cleaner Production 253, 119900. doi:10.1016/j.jclepro.2019.119900 [PDF]

Thorp, K. R., Thompson, A. L., Bronson, K. F., 2020. Irrigation rate and timing effects on Arizona cotton yield, water productivity, and fiber quality. Agricultural Water Management 234, 106146. doi:10.1016/j.agwat.2020.106146 [PDF]

Ale, S., Omani, N., Himanshu, S. K., Bordovsky, J. P., Thorp, K. R., Barnes, E. M., 2020. Determining optimum irrigation termination periods for cotton production in the Texas High Plains. Transactions of the ASABE 63 (1), 105–115. doi:10.13031/trans.13483 [PDF]

Chen, X., Thorp, K. R., Van Oel, P. R., Xu, Z., Zhou, B., Li, Y., 2020. Environmental impact assessment of water-saving irrigation systems across 60 irrigation construction projects in northern China. Journal of Cleaner Production 245, 118883. doi:10.1016/j.jclepro.2019.118883 [PDF]

Thorp, K. R., 2020. Long-term simulations of site-specific irrigation management for Arizona cotton production. Irrigation Science 38 (1), 49–64. doi:10.1007/s00271-019-00650-6 [PDF]

Luo, Z., Thorp, K. R., Abdel-Haleem, H., 2019. A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy. Plant Methods 15, 154. doi:10.1186/s13007-019-0544-3 [PDF]

Bronson, K. F., Hunsaker, D. J., Meisinger, J. J., Rockholt, S. M., Thorp, K. R., Conley, M. M., Williams, C. F., Norton, E. R., Barnes, E. M., 2019. Improving nitrogen fertilizer use efficiency in subsurface drip-irrigated cotton in the Desert Southwest. Soil Science Society of America Journal 83 (6), 1712–1721. doi:10.2136/sssaj2019.07.0210 [PDF]

Joshi, V. R., Thorp, K. R., Coulter, J. A., Johnson, G. A., Porter, P. M., Strock, J. S., Garcia y Garcia, A., 2019. Improving site-specific maize yield estimation by integrating satellite multispectral data into a crop model. Agronomy 9, 719. doi:10.3390/agronomy9110719 [PDF]

Huang, J., Ridoutt, B. G., Thorp, K. R., Wang, X., Lan, K., Liao, J., Tao, X., Wu, C., Huang, J., Chen, F., Scherer, L., 2019. Water-scarcity footprints and water productivities indicate unsustainable wheat production in China. Agricultural Water Management 224, 105744. doi:10.1016/j.agwat.2019.105744 [PDF]

Zerihun, D., Sanchez, C. A., Thorp, K. R., Hagler, M. J., 2019. Hydraulics of linearmove sprinkler irrigation systems, III: Model evaluation. Irrigation & Drainage Systems Engineering 8 (2), 237. [PDF]

Bronson, K. F., Hunsaker, D. J., Thorp, K. R., 2019. Nitrogen fertilizer and irrigation effects on seed yield and oil in camelina. Agronomy Journal 111 (4), 1712–1719. doi:10.2134/agronj2018.10.0644 [PDF]

Huang, J., Scherer, L., Lan, K., Chen, F., Thorp, K. R., 2019. Advancing the application of a model-independent open-source geospatial tool for large spatiotemporal simulations. Environmental Modelling & Software 119, 374–378. doi:10.1016/j.envsoft.2019.07.003 [PDF]

Thorp, K. R., Marek, G. W., DeJonge, K. C., Evett, S. R., Lascano, R. J., 2019. Novel methodology to evaluate and compare evapotranspiration algorithms in an agroecosystem model. Environmental Modelling & Software 119, 214–227. doi:10.1016/j.envsoft.2019.06.007 [PDF]

Chen, X., Thorp, K. R., Ouyang, Z., Hou, Y., Zhou, B., Li, Y., 2019. Energy consumption due to groundwater pumping for irrigation in the North China Plain. Science of the Total Environment 669, 1033–1042. doi:10.1016/j.scitotenv.2019.03.179 [PDF]

Kimball, B. A., Boote, K. J., Hatfield, J. L., Ahuja, L. R., Stockle, C., Archontoulis, S., Baron, C., Basso, B., Bertuzzi, P., Constantin, J., Deryng, D., Dumont, B., Durand, J.-L., Ewert, F., Gaiser, T., Gayler, S., Hoffmann, M. P., Jiang, Q., Kim, S.-H., Lizaso, J., Moulin, S., Nendel, C., Parker, P., Palosuo, T., Priesack, E., Qi, Z., Srivastava, A., Stella, T., Tao, F., Thorp, K. R., Timlin, D., Twine, T. E., Webber, H., Willaume, M., Williams, K., 2019. Simulation of maize evapotranspiration: An intercomparison among 29 maize models. Agricultural and Forest Meteorology 271, 264–284. doi:10.1016/j.agrformet.2019.02.037 [PDF]

Thompson, A. L., Thorp, K. R., Conley, M. M., El Shikha, D., French, A. N., Andrade Sanchez, P., Pauli, D., 2019. Comparing nadir and multi-angle view sensor technologies for measuring in-field plant height of upland cotton. Remote Sensing 11, 700. doi:10.3390/rs11060700 [PDF]

Kothari, K., Ale, S., Bordovsky, J. P., Thorp, K. R., Porter, D. O., Munster, C. L., 2019. Simulation of efficient irrigation management strategies for grain sorghum production over different climate variability classes. Agricultural Systems 170, 49–62. doi:10.1016/j.agsy.2018.12.011 [PDF]

Bronson, K. F., Hunsaker, D. J., Williams, C. F., Thorp, K. R., Rockholt, S. M., Del Grosso, S. J., Venterea, R. T., Barnes, E. M., 2018. Erratum: Nitrogen management affects nitrous oxide emissions under varying cotton irrigation systems in the Desert Southwest, USA (Journal of Environmental Quality 47:(1), 70–78. doi:10.2134/jeq2017.10.0389). Journal of Environmental Quality 47 (6), 1572–1572. doi:10.2134/jeq2017.10.0389er [PDF]

Thorp, K. R., Thompson, A. L., Harders, S. J., French, A. N., Ward, R. W., 2018. High-throughput phenotyping of crop water use efficiency via multispectral drone imagery and a daily soil water balance model. Remote Sensing 10, 1682. doi:10.3390/rs10111682 [PDF]

Shamshiri, R. R., Jones, J. W., Thorp, K. R., Ahmad, D., Man, H. C., Taheri, S., 2018. Review of optimum temperature, humidity, and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato: a review. International Agrophysics32 (2), 287302. doi:10.1515/intag-2017-0005 [PDF]

Lamsal, A., Welch, S. M., White, J. W., Thorp, K. R., Bello, N., 2018. Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with genetics. PLOS ONE 13 (4), e0195841. doi:10.1371/journal.pone.0195841 [PDF]

Thompson, A. L., Thorp, K. R., Conley, M. M., Andrade-Sanchez, P., Heun, J. T., Dyer, J. M., White J. W., 2018. Deploying a proximal sensing cart to identify drought-adaptive traits in upland cotton for high-throughput phenotyping. Frontiers in Plant Science 9, 507. doi:10.3389/fpls.2018.00507 [PDF]

Bronson, K. F., Hunsaker, D. J., Williams, C. F., Thorp, K. R., Rockholt, S. M., Del Grosso, S. J., Venterea, R. T., Barnes, E. M., 2018. Nitrogen management affects nitrous oxide emissions under varying cotton irrigation systems in the Desert Southwest, USA. Journal of Environmental Quality 47 (1), 7078. doi:10.2134/jeq2017.10.0389 [PDF]

Shamshiri, R. R., Kalantari, F., Ting, K. C., Thorp, K. R., Hameed, I. A., Weltzien, C., Ahmad, D., Shad, Z. M., 2018. Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban farming. International Journal of Agricultural and Biological Engineering 11 (1), 122. doi:10.25165/j.ijabe.20181101.3210 [PDF]

Youssef, M. A., Abdelbaki, A. M., Negm, L. M., Skaggs, R. W., Thorp, K. R., Jaynes, D. B., 2018. DRAINMOD-simulated performance of controlled drainage across the U.S. Midwest. Agricultural Water Management 197, 54–66. doi:10.1016/j.agwat.2017.11.012 [PDF]

Adhikari, P., Ale, S., DeLaune, P. B., Thorp, K. R., Barnes, E. M., 2017. Simulated effects of winter wheat cover crop on the cotton production systems of the Texas Rolling Plains. Transactions of the ASABE 60 (6), 2083–2096. doi:10.13031/trans.12272 [PDF]

Bronson, K. F., Hunsaker, D. J., Mon, J., Andrade-Sanchez, P., White, J. W., Conley, M. M., Thorp, K. R., Bautista, E., Barnes, E. M., 2017. Improving nitrogen fertilizer use efficiency in surface- and overhead sprinkler-irrigated cotton in the Desert Southwest. Soil Science Society of America Journal 81 (6), 1401–1412. doi:10.2136/sssaj2017.07.0225 [PDF]

DeJonge, K. C., Thorp, K. R., 2017. Implementing standardized reference evapotranspiration and dual crop coefficient approach in the DSSAT Cropping System Model. Transactions of the ASABE 60 (6), 1965–1981. doi:10.13031/trans.12321 [PDF]

Thorp, K. R., Hunsaker, D. J., Bronson, K. F., Andrade-Sanchez, P., Barnes, E. M., 2017. Cotton irrigation scheduling using a crop growth model and FAO-56 methods: Field and simulation studies. Transactions of the ASABE 60 (6), 2023–2039. doi:10.13031/trans.12323 [PDF]

Mauget, S. A., Adhikari, P., Leiker, G., Baumhardt, R. L., Thorp, K. R., Ale, S., 2017. Modeling the effects of management and elevation on West Texas dryland cotton production. Agricultural and Forest Meteorology 247, 385–398. doi:10.1016/j.agrformet.2017.07.009 [PDF]

Pauli, D., White, J. W., Andrade-Sanchez, P., Conley, M. M., Heun, J., Thorp, K. R., French, A. N., Hunsaker, D. J., Carmo-Silva, A. E., Wang, G., Gore, M. A., 2017. Investigation of the influence of leaf thickness on canopy reflectance and physiological traits in upland and Pima cotton populations. Frontiers in Plant Science 8, 1405. doi:10.3389/fpls.2017.01405 [PDF]

Bronson, K. F., White, J. W., Conley, M. M., Hunsaker, D. J., Thorp, K. R., French, A. N., Mackey, B. E., Holland, K. H., 2017. Active optical sensors in irrigated durum wheat: Nitrogen and water effects. Agronomy Journal 109 (3), 1060–1071. doi:10.2134/agronj2016.07.0390 [PDF]

Thorp, K. R., Wang, G., Bronson, K. F., Badaruddin, M., Mon, J., 2017. Hyperspectral data mining to identify relevant canopy spectral features for estimating durum wheat growth, nitrogen status, and grain yield. Computers and Electronics in Agriculture 136, 1–12. doi:10.1016/j.compag.2017.02.024 [PDF]

Bautista, E., Schlegel, J., Thorp, K. R., Hunsaker, D. J., 2016. Approximate furrow infiltration model for time-variable ponding depth. Journal of Irrigation and Drainage Engineering 142 (11). doi:10.1061/(ASCE)IR.1943-4774.0001057 [PDF]

Wang, X., Thorp, K. R., White, J. W., French, A. N., Poland, J. A., 2016. Approaches for geospatial processing of field-based high-throughput plant phenomics data from ground vehicle platforms. Transactions of the ASABE 59 (5), 1053–1067. doi:10.13031/trans.59.11502 [PDF]

Mon, J., Bronson, K. F., Hunsaker, D. J., Thorp, K. R., White, J. W., French, A. N., Conley, M. M., 2016. Interactive effect of nitrogen fertilization and irrigation on grain yield, canopy temperature, and nitrogen use efficiency in overhead sprinkler-irrigated durum wheat. Field Crops Research 191, 54–65. doi:10.1016/j.fcr.2016.02.011 [PDF]

Pauli, D., Andrade-Sanchez, P., Carmo-Silva, A. E., Gazave, E., French, A. N., Heun, J., Hunsaker, D. J., Lipka, A. E., Setter, T. L., Strand, R. J., Thorp, K. R., Wang, S., White, J. W., Gore, M. A., 2016. Field-based, high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. G3: Genes, Genomes, Genetics 6 (4), 865–879. doi:10.1534/g3.115.023515 [PDF]

Thorp, K. R., Wang, G., Badaruddin, M., Bronson, K. F., 2016. Lesquerella seed yield estimation using color image segmentation to track flowering dynamics in response to variable water and nitrogen management. Industrial Crops and Products 86, 186–195. doi:10.1016/j.indcrop.2016.03.035 [PDF]

Chu, Q., Liu, J., Bali, K., Thorp, K. R., Smith, R., Wang G., 2016. Automated thinning increases uniformity of in-row spacing and plant size in romaine lettuce. HortTechnology 26 (1), 12–19. [PDF]

Adhikari, P., Ale, S., Bordovsky, J. P., Thorp, K. R., Modala, N. R., Rajan, N., Barnes, E. M., 2016. Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model. Agricultural Water Management 164, 317–330. doi:10.1016/j.agwat.2015.10.011 [PDF]

Cendrero-Mateo, M. P., Moran, M. S., Papuga, S. A., Thorp, K. R., Alonso, L., Moreno, J., Ponce-Campos, G., Rascher, U., Wang, G., 2016. Plant chlorophyll fluorescence: active and passive measurements at canopy and leaf scales with different nitrogen treatments. Journal of Experimental Botany 67 (1), 275–286. doi:10.1093/jxb/erv456 [PDF]

Thorp, K. R., Gore, M. A., Andrade-Sanchez, P., Carmo-Silva, A. E., Welch, S. M., White, J. W., French, A. N., 2015. Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics. Computers and Electronics in Agriculture 118, 225–236. doi:10.1016/j.compag.2015.09.005 [PDF]

Liu, J., Wang G., Thorp, K. R., Zhang, Y., Yang, M., Chu, Q., 2015. Effect of nitrogen and water deficit type on the yield gap between the potential and attainable wheat yield. Chilean Journal of Agricultural Research 75 (4), 457–464. doi:10.4067/S0718-58392015000500011 [PDF]

Thorp, K. R., Hunsaker, D. J., French, A. N., Bautista, E., Bronson, K. F., 2015. Integrating geospatial data and cropping system simulation within a geographic information system to analyze spatial seed cotton yield, water use, and irrigation requirements. Precision Agriculture 16 (5), 532–557. doi:10.1007/s11119-015-9393-x [PDF]

Groenendyk, D. G., Ferré, T. P. A., Thorp, K. R., Rice, A. K., 2015. Hydrologic-process-based soil texture classification for improved visualization of landscape function. PLOS ONE 10 (6), e0131299. doi:10.1371/journal.pone.0131299 [PDF]

Hunsaker, D. J., French, A. N., Waller, P. M., Bautista, E., Thorp, K. R., Bronson, K. F., Andrade-Sanchez, P., 2015. Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA. Agricultural Water Management 159, 209–224. doi:10.1016/j.agwat.2015.06.016 [PDF]

Modala, N. R., Ale, S., Rajan, N., Munster, C. L., DeLaune, P. B., Thorp, K. R., Nair, S. S., Barnes, E. M., 2015. Evaluation of the CSM-CROPGRO-Cotton model for the Texas Rolling Plains region and simulation of deficit irrigation strategies for increasing water use efficiency. Transactions of the ASABE 58 (3), 685–696. doi:10.13031/trans.58.10833 [PDF]

French, A. N., Hunsaker, D. J., Thorp, K. R., 2015. Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models. Remote Sensing of Environment 158, 281–294. doi:10.1016/j.rse.2014.11.003 [PDF]

Thorp, K. R., Barnes, E. M., Hunsaker, D. J., Kimball, B. A., White, J. W., Nazareth, V. J., Hoogenboom, G., 2014. Evaluation of CSM-CROPGRO-Cotton for simulating effects of management and climate change on cotton growth and evapotranspiration in an arid environment. Transactions of the ASABE 57 (6), 1627–1642. doi:10.13031/trans.57.10612 [PDF]

Malone, R. W., Jaynes, D. B., Kaspar, T. C., Thorp, K. R., Kladivko, E., Ma, L., James, D. E., Singer, J., Morin, X. K., Searchinger, T., 2014. Cover crops in the upper Midwestern United States: Simulated effect on nitrate leaching with artificial drainage. Journal of Soil and Water Conservation 69 (4), 292–305. doi:10.2489/jswc.69.4.292 [PDF]

Liu, J., Bronson, K. F., Thorp, K. R., Mon, J., Badaruddin, M., McCloskey, W. B., Ray, D. T., Chu, Q., Wang G., 2014. Lesquerella seed and oil yield response to split-applied fertilizer. Industrial Crops and Products 60, 273–279. 10.1016/j.indcrop.2014.06.024 [PDF]

Liang, Z., Bronson, K. F., Thorp, K. R., Mon, J., Badaruddin, M., Wang, G., 2014. Cultivar and N fertilizer rate affect yield and N use efficiency in irrigated durum wheat. Crop Science 54 (3), 1175–1183. doi:10.2135/cropsci2013.03.0159 [PDF]

Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., Reddy, K. R., Wall, G. W., White,J. W., 2014. Development and application of process-based simulation models for cotton production: A review of past, present, and future directions. Journal of Cotton Science 18 (1), 1–38. [PDF]

Wang, G., Bronson, K. F., Thorp, K. R., Mon, J., Badaruddin, M., 2014. Multiple leaf measurements improve effectiveness of chlorophyll meter for durum wheat nitrogen management. Crop Science 54 (2), 817–826. doi:10.2135/cropsci2013.03.0160 [PDF]

Andrade-Sanchez, P., Gore, M. A., Heun, J. T., Thorp, K. R., Carmo-Silva, A. E., French, A. N., Salvucci, M. E., White, J. W., 2014. Development and evaluation of a field-based, high-throughput phenotyping platform. Functional Plant Biology 41 (1), 68–79. doi:10.1071/FP13126 [PDF]

Thorp, K. R., Bronson, K. F., 2013. A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations. Environmental Modelling & Software 50, 25–36. doi:10.1016/j.envsoft.2013.09.002 [PDF]

Hunsaker, D. J., French, A. N., Thorp, K. R., 2013. Camelina water use and seed yield response to irrigation scheduling in an arid environment. Irrigation Science 31 (5), 911–929. doi:10.1007/s00271-012-0368-7 [PDF]

Thorp, K. R., French, A. N., Rango, A., 2013. Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA). Remote Sensing of Environment 132, 120–130. doi:10.1016/j.rse.2013.01.008 [PDF]

French, A. N., Alfieri, J. G., Kustas, W. P., Prueger, J. H., Hipps, L. E., Chávez, J. L., Evett, S. R., Howell, T. A., Gowda, P. H., Hunsaker, D. J., Thorp, K. R., 2012. Estimation of surface energy fluxes using surface renewal and flux variance techniques over an advective irrigated agricultural site. Advances in Water Resources 50, 91–105. doi:10.1016/j.advwatres.2012.07.007 [PDF]

Thorp, K. R., Wang, G., West, A. L., Moran, M. S., Bronson, K. F., White, J. W., Mon, J., 2012. Estimating crop biophysical properties from remote sensing data by inverting linked radiative transfer and ecophysiological models. Remote Sensing of Environment 124, 224–233. doi:10.1016/j.rse.2012.05.013 [PDF]

White, J. W., Andrade-Sanchez, P., Gore, M. A., Bronson, K. F., Coffelt, T. A., Conley, M. M., Feldmann, K. A., French, A. N., Heun, J. T., Hunsaker, D. J., Jenks, M. A., Kimball, B. A., Roth, R. L., Strand, R. J., Thorp, K. R., Wall, G. W., Wang, G., 2012. Field-based phenomics for plant genetics research. Field Crops Research 133, 101–112. doi:10.1016/j.fcr.2012.04.003 [PDF]

Gutierrez, M., Norton, R., Thorp, K. R., Wang, G., 2012. Association of spectral reflectance indices with plant growth and lint yield in upland cotton. Crop Science 52 (2), 849–857. doi:10.2135/cropsci2011.04.0222 [PDF]

Nearing, G. S., Crow, W. T., Thorp, K. R., Moran, M. S., Reichle, R. H., Gupta, H. V., 2012. Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment. Water Resources Research 48 (5). doi:10.1029/2011WR011420 [PDF]

Thorp, K. R., White, J. W., Porter, C. H., Hoogenboom, G., Nearing, G. S., French, A. N., 2012. Methodology to evaluate the performance of simulation models for alternative compiler and operating system configurations. Computers and Electronics in Agriculture 81 (1), 62–71. doi:10.1016/j.compag.2011.11.008 [PDF]

Fang, Q. X., Malone, R. W., Ma, L., Jaynes, D. B., Thorp, K. R., Green, T. R., Ahuja, L. R., 2012. Modeling the effects of controlled drainage, N rate and weather on nitrate loss to subsurface drainage. Agricultural Water Management 103, 150–161. doi:10.1016/j.agwat.2011.11.006 [PDF]

Nolan, B. T., Malone, R. W., Gronberg, J. A., Thorp, K. R., Ma, L., 2012. Verifiable metamodels for nitrate losses to drains and groundwater in the Corn Belt, USA. Environmental Science & Technology 46 (2), 901–908. doi:10.1021/es202875e [PDF]

Sánchez, J. M., French, A. N., Mira, M., Hunsaker, D. J., Thorp, K. R., Valor, E., Caselles, V., 2011. Thermal infrared emissivity dependence on soil moisture in field conditions. IEEE Transactions on Geoscience and Remote Sensing 49 (11 Part 2), 4652–4659. doi:10.1109/TGRS.2011.2142000 [PDF]

Dierig, D. A., Wang, G., McCloskey, W. B., Thorp, K. R., Isbell, T. A., Ray, D. T., Foster, M. A., 2011. Lesquerella: New crop development and commercialization in the U.S. Industrial Crops and Products 34 (2), 1381–1385. doi:10.1016/j.indcrop.2010.12.023 [PDF]

Qi, Z., Helmers, M. J., Malone, R. W., Thorp, K. R., 2011. Simulating long-term impacts of winter rye cover crop on hydrologic cycling and nitrogen dynamics for a corn-soybean crop system. Transactions of the ASABE 54 (5), 1575–1588. doi:10.13031/2013.39836 [PDF]

Thorp, K. R., Dierig, D. A., 2011. Color image segmentation approach to monitor flowering in lesquerella. Industrial Crops and Products 34 (1), 1150–1159. doi:10.1016/j.indcrop.2011.04.002 [PDF]

Thorp, K. R., Dierig, D. A., French, A. N., Hunsaker, D. J., 2011. Analysis of hyperspectral reflectance data for monitoring growth and development of lesquerella. Industrial Crops and Products 33 (2), 524–531. doi:10.1016/j.indcrop.2010.10.003 [PDF]

Nearing, G. S., Moran, M. S., Thorp, K. R., Holifield Collins, C. D., Slack, D. C., 2010. Likelihood parameter estimation for calibrating a soil moisture model using radar backscatter. Remote Sensing of Environment 114 (11), 2564–2574. doi:10.1016/j.rse.2010.05.031 [PDF]

Thorp, K. R., Hunsaker, D. J., French, A. N., 2010. Assimilating leaf area index estimates from remote sensing into the simulations of a cropping systems model. Transactions of the ASABE 53 (1), 251–262. doi:10.13031/2013.29490 [PDF]

Thorp, K. R., Hunsaker, D. J., French, A. N., White, J. W., Clarke, T. R., Pinter Jr., P. J., 2010. Evaluation of the CSM-CROPSIM-CERES-Wheat model as a tool for crop water management. Transactions of the ASABE 53 (1), 87–102. doi:10.13031/2013.29505 [PDF]

Hunsaker, D. J., El-Shikha, D. M., Clarke, T. R., French, A. N., Thorp, K. R., 2009. Using ESAP software for predicting the spatial distributions of NDVI and transpiration of cotton. Agricultural Water Management 96 (9), 1293–1304. doi:10.1016/j.agwat.2009.04.014 [PDF]

Thorp, K. R., Youssef, M. A., Jaynes, D. B., Malone, R. W., Ma, L., 2009. DRAINMODNII: Evaluated for an agricultural system in Iowa and compared to RZWQM-DSSAT. Transactions of the ASABE 52 (5), 1557–1573. doi:10.13031/2013.29144 [PDF]

French, A. N., Hunsaker, D. J., Thorp, K. R., Clarke, T. R., 2009. Evapotranspiration over a camelina crop at Maricopa, Arizona. Industrial Crops and Products 29 (2-3), 289–300. doi:10.1016/j.indcrop.2008.06.001 [PDF]

Thorp, K. R., DeJonge, K. C., Kaleita, A. L., Batchelor, W. D., Paz, J. O., 2008. Methodology for the use of DSSAT models for precision agriculture decision support. Computers and Electronics in Agriculture 64 (2), 276–285. doi:10.1016/j.compag.2008.05.022 [PDF]

Ma, L., Malone, R. W., Jaynes, D. B., Thorp, K. R., Ahuja, L. R., 2008. Simulated effects of nitrogen management and soil microbes on soil nitrogen balance and crop production. Soil Science Society of America Journal 72 (6), 1594–1603. doi:10.2136/sssaj2007.0404 [PDF]

Li, L., Malone, R. W., Ma, L., Kaspar, T. C., Jaynes, D. B., Saseendran, S. A., Thorp, K. R., Yu, Q., Ahuja, L. R., 2008. Winter cover crop effects on nitrate leaching in subsurface drainage as simulated by RZWQM-DSSAT. Transactions of the ASABE 51 (5), 1575–1583. doi:10.13031/2013.25314 [PDF]

Thorp, K. R., Jaynes, D. B., Malone, R. W., 2008. Simulating the long-term performance of drainage water management across the midwestern United States. Transactions of the ASABE 51 (3), 961–976. doi:10.13031/2013.24534 [PDF]

Thorp, K. R., Steward, B. L., Kaleita, A. L., Batchelor, W. D., 2008. Using aerial hyperspectral remote sensing imagery to estimate corn plant stand density. Transactions of the ASABE 51 (1), 311–320. doi:10.13031/2013.24207 [PDF]

DeJonge, K. C., Kaleita, A. L., Thorp, K. R., 2007. Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa. Agricultural Water Management 92 (1-2), 99–109. doi:10.1016/j.agwat.2007.05.008 [PDF]

Thorp, K. R., Batchelor, W. D., Paz, J. O., Kaleita, A. L., DeJonge, K. C., 2007. Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture. Transactions of the ASABE 50 (4), 1467–1479. doi:10.13031/2013.23605 [PDF]

Thorp, K. R., Malone, R. W., Jaynes, D. B., 2007. Simulating long-term effects of nitrogen fertilizer application rates on corn yield and nitrogen dynamics. Transactions of the ASABE 50 (4), 1287–1303. doi:10.13031/2013.23640 [PDF]

Thorp, K. R., Batchelor, W. D., Paz, J. O., Steward, B. L., Caragea, P. C., 2006. Methodology to link production and environmental risks of precision nitrogen management strategies in corn. Agricultural Systems 89 (2-3), 272–298. doi:10.1016/j.agsy.2005.09.005 [PDF]

Thorp, K. R., Tian, L. F., 2004. A review on remote sensing of weeds in agriculture. Precision Agriculture 5 (5), 477–508. doi:10.1007/s11119-004-5321-1 [PDF]

Thorp, K. R., Tian, L. F., 2004. Performance study of variable-rate herbicide applications based on remote sensing imagery. Biosystems Engineering 88 (1), 35–47. doi:10.1016/j.biosystemseng.2004.01.012 [PDF]

Thorp, K. R., Tian, L., Yao, H., Tang, L., 2004. Narrow-band and derivative-based vegetation indices for hyperspectral data. Transactions of the ASAE 47 (1), 291–299. doi:10.13031/2013.15854 [PDF]