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Publications

2023

    Kim, S. et al. (2023). Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan GCB Bioenergy. John Wiley and Sons Inc, -. doi: 10.1111/gcbb.13024

2022

    Guarin, J.R. et al. (2022). Evidence for increasing global wheat yield potential Environmental Research Letters, 17(12). Institute of Physics, -. doi: 10.1088/1748-9326/aca77c

    Martinez-Feria, R.A., Basso, B., Kim, S. (2022). Boosting climate change mitigation potential of perennial lignocellulosic crops grown on marginal lands Environmental Research Letters, 17(4). IOP Publishing Ltd, -. doi: 10.1088/1748-9326/ac541b

    Northrup, D.L., Basso, B., Wang, M.Q., Morgan, C.L.S., Benfey, P.N. (2022). Reply to Amundson: Time to go to work Proceedings of the National Academy of Sciences of the United States of America, 119(12). National Academy of Sciences, -. doi: 10.1073/pnas.2122842119

    O'Neill, E.G., Martinez-Feria, R.A., Basso, B., Maravelias, C.T. (2022). Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty Computers and Chemical Engineering, 160. Elsevier Ltd, -. doi: 10.1016/j.compchemeng.2022.107724

    Schulte, L.A. et al. (2022). Meeting global challenges with regenerative agriculture producing food and energy Nature Sustainability, 5(5). Nature Research, 384-388. doi: 10.1038/s41893-021-00827-y

    Shuai, G., & Basso, B. (2022). Subfield maize yield prediction improves when in-season crop water deficit is included in remote sensing imagery-based models Remote Sensing of Environment, 272. Elsevier Inc, -. doi: 10.1016/j.rse.2022.112938

2021

    Basso, B. et al. (2021). Designing circularity into corn-soybean systems Resource: Engineering and Technology for Sustainable World, 28(2). American Society of Agricultural and Biological Engineers, 10-14.

    Basso, B. (2021). Precision conservation for a changing climate. Nature Food, 2, 322-323. doi: https://doi.org/10.1038/s43016-021-00283-z

    Basso, B., Jones, J.W., Antle, J., Martinez-Feria, R.A., Verma, B. (2021). Enabling circularity in grain production systems with novel technologies and policy. Agricultural Systems, 193. doi: https://doi.org/10.1016/j.agsy.2021.103244

    Basso, B., Martinez-Feria, R.A., Rill, L., Ritchie, J.T. (2021). Contrasting long-term temperature trends reveal minor changes in projected potential evapotranspiration in the US Midwest. Nature Communications, 12(1476). doi: https://doi.org/10.1038/s41467-021-21763-7

    Brooker, A., Renner, K., Price, R., Basso, B. (2021). Evaluating high-resolution optical and thermal reflectance of maize interseeded with cover crops across spatial scales using remotely sensed imagery. Agronomy Journal. doi: https://doi.org/10.1002/agj2.20592

    Cammarano, D., Basso, B., Holland, J., Gianinetti, A., Baronchelli, M., Ronga, D. (2021). Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley. Computers and Electronics in Agriculture, 182. doi: https://doi.org/10.1016/j.compag.2021.105997

    De Rosa, D. et al. (2021). Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery. Computers and Electronics in Agriculture, 180. doi: https://doi.org/10.1016/j.compag.2020.105880

    Deines, J.M., Kendall, A.D., Butler, J.J., Basso, B., Hyndman, D.W. (2021). Combining Remote Sensing and Crop Models to Assess the Sustainability of Stakeholder-Driven Groundwater Management in the US High Plains Aquifer. Water Resources Research, 57(3). doi: https://doi.org/10.1029/2020WR027756

    Hussain, M.Z., Hamilton, S.K., Robertson, G.P., Basso, B. (2021). Phosphorus availability and leaching losses in annual and perennial cropping systems in an upper US Midwest landscape Scientific Reports, 11(1). Nature Research, -. doi: 10.1038/s41598-021-99877-7

    Jones, J., Verma, B., Basso, B., Mohtar, R., Matlock, M. (2021). Transforming food and agriculture to circular systems: A perspective for 2050 Resource: Engineering and Technology for Sustainable World, 28(2). American Society of Agricultural and Biological Engineers, 7-9.

    Khanna, M. et al. (2021). Redefining marginal land for bioenergy crop production. GCB Bioenergy, 13(10), 1590-1609. doi: https://doi.org/10.1111/gcbb.12877

    Liu, L., Danquah, E.O., Weebadde, C., Bessah, E., Basso, B. (2021). Modeling soil organic carbon and yam yield under different agronomic management across spatial scales in Ghana. Field Crops Research, 263. doi: https://doi.org/10.1016/j.fcr.2020.108018

    Maestrini, B., & Basso, B. (2021). Subfield crop yields and temporal stability in thousands of US Midwest fields. Precision Agriculture. doi: https://doi.org/10.1007/s11119-021-09810-1

    Northrup, D.L., Basso, B., Wang, M.Q., Morgan, C.L., Benfey, P.N. (2021). Novel technologies for emission reduction complement conservation agriculture to achieve negative emissions from row-crop production. Proceedings of the National Academy of Sciences, 118(28). doi: https://doi.org/10.1073/pnas.2022666118

    Pizzolante, A. et al. (2021). Development of a municipality index of environmental pressure in Campania, Italy. Future Science OA, 7(7). doi: https://doi.org/10.2144/fsoa-2021-0055

    Saha, D., Basso, B., Robertson, G.P. (2021). Machine learning improves predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems. Environmental Research Letters, 16(2). doi: https://doi.org/10.1088/1748-9326/abd2f3

    Silberg, T.R. et al. (2021). Modeling smallholder agricultural systems to manage Striga in the semi-arid tropics. Agricultural Systems, 187. doi: https://doi.org/10.1016/j.agsy.2020.103008

    Wallach, D. et al. (2021). How well do crop modeling groups predict wheat phenology, given calibration data from the target population? European Journal of Agronomy, 124. doi: https://doi.org/10.1016/j.eja.2020.126195

    Wallach, D. et al. (2021). Multi-model evaluation of phenology prediction for wheat in Australia. Agricultural and Forest Meteorology, 298-299. doi: https://doi.org/10.1016/j.agrformet.2020.108289

    Wallach, D. et al. (2021). The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. Environmental Modelling & Software, 145. doi: https://doi.org/10.1016/j.envsoft.2021.105206

2020

    Basso, B., & Antle, J. (2020). Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 3, 254–256. doi: https://doi.org/10.1038/s41893-020-0510-0

    Brooker, A.P., Renner, K.A., Basso, B. (2020). Interseeding cover crops in corn: Establishment, biomass, and competitiveness in on-farm trials. Agronomy Journal, 112(5), 3733-3743. doi: https://doi.org/10.1002/agj2.20355

    Falconnier, G.N. et al. (2020). Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa. Global Change Biology, 26(10), 5942-5964. doi: https://doi.org/10.1111/gcb.15261

    Hatfield, J.L., Cryder, M., Basso, B. (2020). Remote Sensing: Advancing the Science and the Applications to Transform Agriculture. IT Professional, 22(3), 42-45. doi: https://doi.org/10.1109/MITP.2020.2986102

    Hussain, M.Z., Robertson, G.P., Basso, B., Hamilton, S.K. (2020). Leaching losses of dissolved organic carbon and nitrogen from agricultural soils in the upper US Midwest. Science of The Total Environment, 734. doi: https://doi.org/10.1016/j.scitotenv.2020.139379

    Insua, J.R., Garcia, S.C., Berone, G.D., Basso, B., Utsumi, S.A. (2020). Field indicators of leaf nutritive value for perennial ryegrass and tall fescue pastures under different growing and management conditions. Grass and Forage Science, 1-10. doi: https://doi.org/10.1111/gfs.12470

    Liu, L., & Basso, B. (2020). Impacts of climate variability and adaptation strategies on crop yields and soil organic carbon in the US Midwest. PLOS ONE, 15(1), 1-20. doi: https://doi.org/10.1371/journal.pone.0225433

    Liu, L., & Basso, B. (2020). Linking field survey with crop modeling to forecast maize yield in smallholder farmers’ fields in Tanzania. Food Security. doi: https://doi.org/10.1007/s12571-020-01020-3

    , L., L;, B., , B. (2020). Linking field survey with crop modeling to forecast maize yield in smallholder farmers' fields in Tanzania In nan, FOOD SECURITY, 12.0(3). SPRINGER, 537-548. doi: 10.1007/s12571-020-01020-3

    Lupi, F., Basso, B., Garnache, C., Herriges, J.A., Hyndman, D.W., Stevenson, R.J. (2020). Linking Agricultural Nutrient Pollution to the Value of Freshwater Ecosystem Services. Land Economics, 96(4), 493-509. doi: https://doi.org/10.3368/wple.96.4.493

    Martinez-Feria, R.A., & Basso, B. (2020). Unstable crop yields reveal opportunities for site-specific adaptations to climate variability. Scientific Reports, 10(2885). doi: https://doi.org/10.1038/s41598-020-59494-2

    Martinez-Feria, R., & Basso, B. (2020). Predicting soil carbon changes in switchgrass grown on marginal lands under climate change and adaptation strategies. GCB Bioenergy, 12(9), 742-755. doi: https://doi.org/10.1111/gcbb.12726

    Nichols, V., Martinez-Feria, R., Weisberger, D., Carlson, S., Basso, B., Basche, A. (2020). Cover crops and weed suppression in the U.S. Midwest: A meta-analysis and modeling study. Agricultural & Environmental Letters, 5(1). doi: https://doi.org/10.1002/ael2.20022

    , N. et al. (2020). Cover crops and weed suppression in the US Midwest: A meta-analysis and modeling study In nan, AGRICULTURAL & ENVIRONMENTAL LETTERS, 5.0(1). WILEY, nan-nan. doi: 10.1002/ael2.20022

    Peters, D.P., Rivers, A., Hatfield, J.L., Lemay, D.G., Liu, S., Basso, B. (2020). Harnessing AI to Transform Agriculture and Inform Agricultural Research. IT Professional, 22(3), 16-21. doi: https://doi.org/10.1109/MITP.2020.2986124

    Robertson, L.D. et al. (2020). C-band synthetic aperture radar (SAR) imagery for the classification of diverse cropping systems. International Journal of Remote Sensing, 41(24), 9628-9649. doi: https://doi.org/10.1080/01431161.2020.1805136

    Sándor, R. et al. (2020). Ensemble modelling of carbon fluxes in grasslands and croplands. Field Crops Research, 252. doi: https://doi.org/10.1016/j.fcr.2020.107791

2019

    Asseng, S. et al. (2019). Climate change impact and adaptation for wheat protein. Global Change Biology, 25(1), 155-173. doi: 10.1111/gcb.14481

    Basso, B., & Liu, L. (2019). Seasonal crop yield forecast: Methods, applications, and accuracies. Advances in Agronomy, 154, 201-255. doi: https://doi.org/10.1016/bs.agron.2018.11.002

    Basso, B., Shuai, G., Zhang, J., Robertson, G.P. (2019). Yield stability analysis reveals sources of large-scale nitrogen loss from the US Midwest. Scientific Reports, 9(5774). doi: 10.1038/s41598-019-42271-1

    Cammarano, D. et al. (2019). Integrating geospatial tools and a crop simulation model to understand spatial and temporal variability of cereals in Scotland In Stafford J.V, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen Academic Publishers, 29-35. doi: 10.3920/978-90-8686-888-9_2

    Hussain, M.Z., Bhardwaj, A.K., Basso, B., Robertson, G.P., Hamilton, S.K. (2019). Nitrate Leaching from Continuous Corn, Perennial Grasses, and Poplar in the US Midwest. Journal of Environmental Quality. doi: https://doi.org/10.2134/jeq2019.04.0156

    Hussain, M.Z., Hamilton, S.K., Bhardwaj, A.K., Basso, B., Thelen, K.D., Robertson, G.P. (2019). Evapotranspiration and water use efficiency of continuous maize and maize and soybean in rotation in the upper Midwest U.S. Agricultural Water Management, 221, 92-98. doi: https://doi.org/10.1016/j.agwat.2019.02.049

    , H. et al. (2019). Evapotranspiration and water use efficiency of continuous maize and maize and soybean in rotation in the upper Midwest US In nan, AGRICULTURAL WATER MANAGEMENT, 221.0(nan). ELSEVIER SCIENCE BV, 92-98. doi: 10.1016/j.agwat.2019.02.049

    Insua, J.R., Agnusdei, M.G., Berone, G.D., Basso, B., Machado, C.F. (2019). Modeling the Nutritive Value of Defoliated Tall Fescue Pastures Based on Leaf Morphogenesis. Agronomy Journal, 111(1), 1-11. doi: 10.2134/agronj2018.07.0439

    Insua, J.R., Utsumi, S., Basso, B. (2019). Assessing and Modeling Pasture Growth under Different Nitrogen Fertilizer and Defoliation Rates in Argentina and the United States. Agronomy Journal, 111(2), 1-12. doi: 10.2134/agronj2018.07.0438

    Insua, J.R., Utsumi, S., Basso, B. (2019). Estimation of spatial and temporal variability of pasture growth and digestibility in grazing rotations coupling unmanned aerial vehicle (UAV) with crop simulation models. PLOS ONE, 14(3), 1-21. doi: https://doi.org/10.1371/journal.pone.0212773

    Kimball, B.A. et al. (2019). Simulation of maize evapotranspiration: An inter-comparison among 29 maize models. Agricultural and Forest Meteorology, 271, 264-284. doi: https://doi.org/10.1016/j.agrformet.2019.02.037

    Liu, B. et al. (2019). Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Global Change Biology, 1-17. doi: 10.1111/gcb.14542

    , L. et al. (2019). Global wheat production with 1.5 and 2.0 degrees C above pre-industrial warming In nan, GLOBAL CHANGE BIOLOGY, 25.0(4). WILEY, 1428-1444. doi: 10.1111/gcb.14542

    Martinez-Feria, R.A., Virginia, N., Basso, B., Archontoulis, S. (2019). Can multi-strategy management stabilize nitrate leaching under increasing rainfall? Environmental Research Letters. doi: https://doi.org/10.1088/1748-9326/ab5ca8

    Partridge, T.F., Winter, J.M., Liu, L., Kendall, A.D., Basso, B., Hyndman, D.W. (2019). Mid-20th century warming hole boosts US maize yields Environmental Research Letters, 14(11). Institute of Physics Publishing, -. doi: 10.1088/1748-9326/ab422b

    Partridge, T.F., Winter, J.M., Liu, L., Kendall, A.D., Basso, B., Hydnman, D. (2019). Mid-20th century warming hole boosts U.S. maize yields. Environmental Research Letters. doi: https://doi.org/10.1088/1748-9326/ab422b

    Robertson, L.D. et al. (2019). Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc, 6231-6234. doi: 10.1109/IGARSS.2019.8898364

    Shuai, G., Martinez-Feria, R.A., Zhang, J., Li, S., Price, R., Basso, B. (2019). Capturing Maize Stand Heterogeneity Across Yield-Stability Zones Using Unmanned Aerial Vehicles (UAV). Sensors, 19(20). doi: https://doi.org/10.3390/s19204446

    Shuai, G. et al. (2019). Multi-temporal RADARSAT-2 polarimetric SAR for maize mapping supported by segmentations from high-resolution optical image. International Journal of Applied Earth Observation and Geoinformation, 74, 1-15. doi: https://doi.org/10.1016/j.jag.2018.08.021

    Xu, T., Deines, J.M., Kendall, A.D., Basso, B., Hyndman, D.W. (2019). Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data. Remote Sensing, 11(3), 1-16. doi: https://doi.org/10.3390/rs11030370

2018

    Basso, B. et al. (2018). Soil Organic Carbon and Nitrogen Feedbacks on Crop Yields under Climate Change. Agricultural & Environmental Letters, 3(1). American Society of Agronomy. doi: 10.2134/ael2018.05.0026

    Basso, B., Cammarano, D., Migliorati, M.D., Maestrini, B., Dumont, B., Grace, P.R. (2018). Modeling Soil Dynamic Processes.. John Wiley & Sons, Ltd. 2018-06-05, 547-577. doi: https://doi.org/10.2134/agronmonogr60.2018.0018

    Basso, B., & Ritchie, J.T. (2018). Evapotranspiration in High-Yielding Maize and under Increased Vapor Pressure Deficit in the US Midwest. Agricultural & Environmental Letters, 3(1). doi: 10.2134/ael2017.11.0039

    Cotterman, K.A., Kendall, A.D., Basso, B., Hyndman, D.W. (2018). Groundwater depletion and climate change: future prospects of crop production in the Central High Plains Aquifer. Climatic Change, 146(1), 187-200. doi: https://doi.org/10.1007%2Fs10584-017-1947-7

    De Rosa, D., Rowlings, D.W., Biala, J., Scheer, C., Basso, B., Grace, P.R. (2018). N2O and CO2 emissions following repeated application of organic and mineral N fertiliser from a vegetable crop rotation. Science of The Total Environment, 637, 813-824. doi: 10.1016/j.scitotenv.2018.05.046

    Dumont, B., Basso, B., Destain, J.-P., Meza Morales, W., Bodson, B. (2018). Développement d’un système d’aide à la décision multicritère pour l’optimisation de la fertilisation azotée. Phloeme 2018 - Premieres Biennales de l'innovation céréalière. Paris, France: Arvalis.

    Durand, J.-L. et al. (2018). How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? European Journal of Agronomy. doi: https://doi.org/10.1016%2Fj.eja.2017.01.002

    Ehrhardt, F. et al. (2018). Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions. Global Change Biology, 24(2), e603-e616. doi: 10.1111/gcb.13965

    Fronzek, S. et al. (2018). Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change. Agricultural Systems, 159, 209-224. doi: https://doi.org/10.1016%2Fj.agsy.2017.08.004

    Hamilton, S.K., Hussain, M.Z., Lowrie, C., Basso, B., Robertson, G.P. (2018). Evapotranspiration is resilient in the face of land cover and climate change in a humid temperate catchment. Hydrological Processes, 32(5), 655-663. doi: 10.1002/hyp.1144

    Maestrini, B., & Basso, B. (2018). Drivers of within-field spatial and temporal variability of crop yield across the US Midwest. Scientific Reports, 8(1), 2045-2322. doi: 10.1038/s41598-018-32779-3

    Maestrini, B., & Basso, B. (2018). Predicting spatial patterns of within-field crop yield variability. Field Crops Research, 219, 106-112. doi: https://doi.org/10.1016/j.fcr.2018.01.028

    Martre, P. et al. (2018). The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research, 4, 28-34. doi: https://doi.org/10.18174/odjar.v4i0.15830

    Tang, L. et al. (2018). Improving the estimation and partitioning of plant nitrogen in the RiceGrow model Journal of Agricultural Science, 156(8). Cambridge University Press, 959-970. doi: 10.1017/S0021859618001004

    Wallach, D. et al. (2018). Multimodel ensembles improve predictions of crop–environment–management interactions. Global Change Biology, 24(11), 5072-5083. doi: 10.1111/gcb.14411

    , W. et al. (2018). Multimodel ensembles improve predictions of crop-environment-management interactions In nan, GLOBAL CHANGE BIOLOGY, 24.0(11). WILEY, 5072-5083. doi: 10.1111/gcb.14411

    Zhang, J., Basso, B., Price, R.F., Putman, G., Shuai, G. (2018). Estimating plant distance in maize using Unmanned Aerial Vehicle (UAV). PLOS ONE, 13(4), 1-22. doi: 10.1371/journal.pone.0195223

2017

    Antle, J.M. et al. (2017). Towards a new generation of agricultural system data, models and knowledge products: Design and improvement. Agricultural Systems, 155, 255-268. doi: https://doi.org/10.1016%2Fj.agsy.2016.10.002

    Asseng, S. et al. (2017). Hot spots of wheat yield decline with rising temperatures. Global Change Biology, 23(6), 2464-2472. doi: https://doi.org/10.1111%2Fgcb.13530

    Basso, B., Dobrowolski, J., McKay, C. (2017). From the Dust Bowl to Drones to Big Data: The Next Revolution in Agriculture. Georgetown Journal of International Affairs, 18(3).

    Chenu, K. et al. (2017). Contribution of Crop Models to Adaptation in Wheat. Trends in Plant Science, 22(6), 472-490. doi: https://doi.org/10.1016%2Fj.tplants.2017.02.003

    Cillis, D. et al. (2017). Conservative Precision Agriculture: an assessment of technical feasibility and energy efficiency within the LIFE + AGRICARE project. Advances in Animal Biosciences, 8(2), 439-443. doi: https://doi.org/10.1017%2Fs204047001700019x

    Hyndman, D.W. et al. (2017). Quantifying changes in water use and groundwater availability in a megacity using novel integrated systems modeling Geophysical Research Letters, 44(16). Blackwell Publishing Ltd, 8359-8368. doi: 10.1002/2017GL074429

    Iocola, I. et al. (2017). Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments. European Journal of Agronomy, 90, 96-107. doi: https://doi.org/10.1016%2Fj.eja.2017.07.011

    Jones, J.W. et al. (2017). Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science. Agricultural Systems, 155, 269-288. doi: https://doi.org/10.1016%2Fj.agsy.2016.09.021

    Jones, J.W. et al. (2017). Brief history of agricultural systems modeling. Agricultural Systems, 155, 240-254. doi: https://doi.org/10.1016%2Fj.agsy.2016.05.014

    Liu, L., & Basso, B. (2017). Spatial evaluation of maize yield in Malawi. Agricultural Systems, 157, 185-192. doi: https://doi.org/10.1016%2Fj.agsy.2017.07.014

    Liu, L., & Basso, B. (2017). Spatial evaluation of switchgrass productivity under historical and future climate scenarios in Michigan. GCB Bioenergy, 9(8), 1320-1332. doi: https://doi.org/10.1111%2Fgcbb.12417

    Maiorano, A. et al. (2017). Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research, 202, 5-20. doi: https://doi.org/10.1016%2Fj.fcr.2016.05.001

    Martre, P. et al. (2017). The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research, 3(1). doi: https://doi.org/10.18174%2Fodjar.v3i1.15766

    Pezzuolo, A., Dumont, B., Sartori, L., Marinello, F., Migliorati, M.D., Basso, B. (2017). Evaluating the impact of soil conservation measures on soil organic carbon at the farm scale. Computers and Electronics in Agriculture, 135, 175-182. doi: https://doi.org/10.1016%2Fj.compag.2017.02.004

    Reimer, A. et al. (2017). Moving toward sustainable farming systems: Insights from private and public sector dialogues on nitrogen management. Journal of Soil and Water Conservation, 72(1), 5-9. doi: https://doi.org/10.2489%2Fjswc.72.1.5a

    Rosa, D.D., Basso, B., Rowlings, D.W., Scheer, C., Biala, J., Grace, P.R. (2017). Can organic amendments support sustainable vegetable production? Agronomy Journal, 109(5), 1856. doi: https://doi.org/10.2134%2Fagronj2016.12.0739

    Thomson, A.M. et al. (2017). Science in the Supply Chain: Collaboration Opportunities for Advancing Sustainable Agriculture in the United States. Agricultural & Environmental Letters, 2(1). doi: https://doi.org/10.2134%2Fael2017.05.0015

    Wang, E. et al. (2017). Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions Nature plants, 3. NLM (Medline), 17125-. doi: 10.1038/nplants.2017.125

    Wang, E. et al. (2017). The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature Plants, 3(8). doi: https://doi.org/10.1038%2Fnplants.2017.102

    , W. et al. (2017). The uncertainty of crop yield projections is reduced by improved temperature response functions (vol 3, 17102, 2017) In nan, NATURE PLANTS, 3.0(8). NATURE PUBLISHING GROUP, nan-nan. doi: 10.1038/nplants.2017.125

2016

    Albarenque, S.M., Basso, B., Caviglia, O.P., Melchiori, R.J. (2016). Spatio-temporal nitrogen fertilizer response in maize: field study and modeling approach. Agronomy Journal, 108(5), 2110. doi: https://doi.org/10.2134%2Fagronj2016.02.0081

    Asseng, S. et al. (2016). Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations. Open Data Journal for Agricultural Research, 1(1). doi: https://doi.org/10.18174%2Fodjar.v1i1.14746

    Basso, B., Dumont, B., Cammarano, D., Pezzuolo, A., Marinello, F., Sartori, L. (2016). Environmental and economic benefits of variable rate nitrogen fertilization in a nitrate vulnerable zone. Science of the Total Environment, 545-546, 227-235. doi: https://doi.org/10.1016%2Fj.scitotenv.2015.12.104

    Basso, B., Fiorentino, C., Cammarano, D., Schulthess, U. (2016). Variable rate nitrogen fertilizer response in wheat using remote sensing. Precision Agriculture, 17(2), 168-182. doi: https://doi.org/10.1007%2Fs11119-015-9414-9

    Basso, B. et al. (2016). Tradeoffs between maize silage yield and nitrate leaching in a Mediterranean nitrate-vulnerable zone under current and projected climate scenarios. PLOS ONE, 11(1), 1-24. doi: https://doi.org/10.1371%2Fjournal.pone.0146360

    Basso, B., Liu, L., Ritchie, J.T. (2016). A Comprehensive Review of the CERES-Wheat, -Maize and -Rice Models' Performances. In Donald L. Sparks (Ed.), Advances in Agronomy, 136. Academic Press, 27-132. doi: https://doi.org/10.1016%2Fbs.agron.2015.11.004

    Cammarano, D. et al. (2016). Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research, 198, 80-92. doi: https://doi.org/10.1016%2Fj.fcr.2016.08.015

    De Rosa, D. et al. (2016). Effect of organic and mineral N fertilizers on N2O emissions from an intensive vegetable rotation. Biology and Fertility of Soils, 52(6), 895-908. doi: https://doi.org/10.1007/s00374-016-1117-5

    Dumont, B., Basso, B., Bodson, B., Destain, J.-P., Destain, M.-F. (2016). Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium. Environmental Modelling & Software, 79, 184-196. doi: https://doi.org/10.1016%2Fj.envsoft.2016.02.015

    Liu, B. et al. (2016). Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Climate Change, 6(12), 1130-1136. doi: https://doi.org/10.1038%2Fnclimate3115

    Ruane, A.C. et al. (2016). Multi-wheat-model ensemble responses to interannual climate variability. Environmental Modelling & Software, 81, 86-101. doi: https://doi.org/10.1016%2Fj.envsoft.2016.03.008

    Smidt, S.J. et al. (2016). Complex water management in modern agriculture: Trends in the water-energy-food nexus over the High Plains Aquifer. Science of the Total Environment, 566-567, 988-1001. doi: https://doi.org/10.1016%2Fj.scitotenv.2016.05.127

    Stellacci, A.M., Castrignanò, A., Troccoli, A., Basso, B., Buttafuoco, G. (2016). Selecting optimal hyperspectral bands to discriminate nitrogen status in durum wheat: a comparison of statistical approaches Environmental Monitoring and Assessment, 188(3). Springer International Publishing, 1-15. doi: 10.1007/s10661-016-5171-0

    Sándor, R. et al. (2016). C and N models Intercomparison - benchmark and ensemble model estimates for grassland production. Advances in Animal Biosciences, 7(3), 245-247. doi: https://doi.org/10.1017%2Fs2040470016000297

    Yang, W. et al. (2016). Urban water sustainability: framework and application. Ecology and Society, 21(4). doi: https://doi.org/10.5751%2Fes-08685-210404

    van Bussel, L.G. et al. (2016). Spatial sampling of weather data for regional crop yield simulations. Agricultural and Forest Meteorology, 220, 101-115. doi: https://doi.org/10.1016%2Fj.agrformet.2016.01.014

2015

    Asseng, S. et al. (2015). Rising temperatures reduce global wheat production. Nature Climate Change, 5(2), 143-147. doi: http://dx.doi.org/10.1038/nclimate2470

    Basso, B., Dumont, B., Shcherbak, L. (2015). AgMIP (Crops & Soils)-The crucial role of soil when modeling the impact of climate change on crop production ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 307-309.

    Basso, B. (2015). Precision farming in order to increase the efficiency of resource use. Energia Ambiente e Innovazione, 61(1-2), 38-42.

    Basso, B., Hyndman, D.W., Kendall, A.D., Grace, P.R., Robertson, G.P. (2015). Can impacts of climate change and agricultural adaptation strategies be accurately quantified if crop models are annually re-initialized? PLOS ONE, 10(6), 1-12. doi: https://doi.org/10.1371%2Fjournal.pone.0127333

    Basso, B., Nagelkirk, R., Sartori, L. (2015). Modeling Conservation Agriculture. In M. Farooq & K. Siddique (Eds.), Conservation Agriculture. Switzerland: Springer International Publishing. doi: https://doi.org/10.1007/978-3-319-11620-4_8

    Basso, B., & Ritchie, J.T. (2015). Simulating crop growth and biogeochemical fluxes in response to land management using the SALUS model. In S.K. Hamilton, J.E. Doll, & G.P. Robertson (Eds.), The ecology of agricultural landscapes: long-term research on the path to sustainability. New York, NY, USA: Oxford University Press, 252-274.

    Dumont, B., Basso, B., Bodson, B., Destain, J.-P., Destain, M.-F. (2015). Climatic risk assessment to improve nitrogen fertilisation recommendations: A strategic crop model-based approach. European Journal of Agronomy, 65, 10-17. doi: https://doi.org/10.1016%2Fj.eja.2015.01.003

    Dumont, B., Basso, B., Destain, J.-P., Bodson, B., Destain, M.-F. (2015). Adapting nitrogen management to the increasing uncertainty ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 230-232.

    Dumont, B., Basso, B., Leemans, V., Bodson, B., Destain, J.-P., Destain, M.-F. (2015). A comparison of within-season yield prediction algorithms based on crop model behaviour analysis. Agricultural and Forest Meteorology, 204, 10-21. doi: https://doi.org/10.1016%2Fj.agrformet.2015.01.014

    Dumont, B., Basso, B., Leemans, V., Bodson, B., Destain, J.-P., Destain, M.-F. (2015). Systematic analysis of site-specific yield distributions resulting from nitrogen management and climatic variability interactions. Precision Agriculture, 16(4), 361-384. doi: https://doi.org/10.1007%2Fs11119-014-9380-7

    Dzotsi, K.A., Basso, B., Jones, J.W. (2015). Parameter and uncertainty estimation for maize, peanut and cotton using the SALUS crop model Agricultural Systems, 135. Elsevier Ltd, 31-47. doi: 10.1016/j.agsy.2014.12.003

    Hamilton, S.K., Hussain, M.Z., Bhardwaj, A.K., Basso, B., Robertson, G.P. (2015). Comparative water use by maize, perennial crops, restored prairie, and poplar trees in the US Midwest Environmental Research Letters, 10(6). Institute of Physics Publishing, -. doi: 10.1088/1748-9326/10/6/064015

    Makowski, D. et al. (2015). A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. Agricultural and Forest Meteorology, 214-215, 483-493. doi: https://doi.org/10.1016/j.agrformet.2015.09.013

    Makowski, D. et al. (2015). Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects., 279-295. doi: https://doi.org/10.1142%2F9781783265640_0011

    Martre, P. et al. (2015). Multimodel ensembles of wheat growth: many models are better than one. Global Change Biology, 21(2), 911-925. doi: https://doi.org/10.1111%2Fgcb.12768

    O'Leary, G.J. et al. (2015). Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment Global Change Biology, 21(7). Blackwell Publishing Ltd, 2670-2686. doi: 10.1111/gcb.12830

    O'Leary, G.J. et al. (2015). Response of wheat growth, grain yield and water use to elevated CO2 under a free-air CO2 enrichment (FACE) experiment and modelling in a semi‐arid environment. Global Change Biology, 21(7), 2670-2686. doi: https://doi.org/10.1111/gcb.12830

    Pirttioja, N. et al. (2015). Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces. Climate Research, 65, 87-105. doi: https://doi.org/10.3354%2Fcr01322

    Stuart, D., Basso, B., Marquart-Pyatt, S., Reimer, A., Robertson, G.P., Zhao, J. (2015). The need for a coupled human and natural systems understanding of agricultural nitrogen loss. BioScience, 65(6), 571-578. doi: https://doi.org/10.1093%2Fbiosci%2Fbiv049

2014

    Asseng, S., Zhu, Y., Basso, B., Wilson, T., Cammarano, D. (2014). Simulation Modeling: Applications in Cropping Systems. In N. Van Alfen (Ed.), Encyclopedia of Agriculture and Food Systems, 5. San Diego, California, USA: Elsevier, 102-112.

    Basso, B. et al. (2014). Erratum: Procedures for initializing organic carbon pools in the Dssatcentury model for agricultural systems Soil Science Society of America Journal, 78(4). Soil Science Society of America, 1490-. doi: 10.2136/sssaj2010.0115er

    Basso, B., & Ritchie, J. (2014). Temperature and drought effects on maize yield. Nature Climate Change Correspondence, 4(4), 233. doi: https://doi.org/10.1038%2Fnclimate2139

    , B. et al. (2014). Procedures for initializing organic carbon pools in the DSSAT-CENTURY model for agricultural systems (vol 75, pg 69, 2011) In nan, SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 78.0(4). SOIL SCI SOC AMER, 1490-1490. doi: 10.2136/sssaj2010.0115er

    , B., B;, R., , J. (2014). CORRESPONDENCE: Temperature and drought effects on maize yield In nan, NATURE CLIMATE CHANGE, 4.0(4). NATURE PUBLISHING GROUP, 233-233. doi: 10.1038/nclimate2139

    Bassu, S. et al. (2014). How do various maize crop models vary in their responses to climate change factors? Global Change Biology, 20(7), 2301-2320. doi: https://doi.org/10.1111%2Fgcb.12520

    , B. et al. (2014). Capsaicin Modulates Proliferation, Migration, and Activation of Hepatic Stellate Cells In nan, CELL BIOCHEMISTRY AND BIOPHYSICS, 68.0(2). HUMANA PRESS INC, 387-396. doi: 10.1007/s12013-013-9719-0

    Cammarano, D., Fitzgerald, G., Casa, R., Basso, B. (2014). Assessing the robustness of vegetation indices to estimate wheat N in Mediterranean environments. Remote Sensing, 6(4), 2827-2844. doi: https://doi.org/10.3390%2Frs6042827

    Hoang, T.V., Chou, T.Y., Basso, B., Yeh, M.L., Chien, C.Y. (2014). Climate Change Impact on Agricultural Productivity and Environment Influence based on Simulation Model. International Journal of Advanced Remote Sensing and GIS, 3(1), 642-659.

    Kavdir, Y., Zhang, W., Basso, B., Smucker, A.J. (2014). Development of a new long-term drought resilient soil water retention technology. Journal of Soil and Water Conservation, 69(5), 154-160. doi: https://doi.org/10.2489%2Fjswc.69.5.154a

    Kladivko, E.J. et al. (2014). Standardized research protocols enable transdisciplinary research of climate variation impacts in corn production systems. Journal of Soil and Water Conservation, 69(6), 532-542. doi: https://doi.org/10.2489%2Fjswc.69.6.532

    Marino, S., Aria, M., Basso, B., Leone, A.P., Alvino, A. (2014). Use of soil and vegetation spectroradiometry to investigate crop water use efficiency of a drip irrigated tomato European Journal of Agronomy, 59. Elsevier, 67-77. doi: 10.1016/j.eja.2014.05.012

    Marino, S., Aria, M., Basso, B., Leone, A.P., Alvino, A. (2014). Use of soil and vegetation spectroradiometry to investigate water use efficiency of a drip irrigated tomato. European Journal of Agronomy, 59, 67-77. doi: https://doi.org/10.1016/j.eja.2014.05.012

    Pezzuolo, A., Basso, B., Marinello, F., Sartori, L. (2014). Using SALUS model for medium and long term simulations of energy efficiency in different tillage systems. Applied Mathematical Sciences, 8, 6433-6445. doi: https://doi.org/10.12988%2Fams.2014.46447

    Smucker, A.J., & Basso, B. (2014). Global Potential for a New Subsurface Water Retention Technology: Converting Marginal Soil into Sustainable Plant Production. In G.J. Churchman & E.R. Landa (Eds.), The Soil Underfoot: Infinite Possibilities for a Finite Resource. CRC Press, 315-324. doi: https://doi.org/10.1201/b16856-29

    Syswerda, S.P., Basso, B., Hamilton, S.K., Tausig, J.B., Robertson, G.P. (2014). Corrigendum to "Long-term nitrate loss along an agricultural intensity gradient in the Upper Midwest USA" [Agric. Ecosyst. Environ. 149 (2012) 10-19] Agriculture, Ecosystems and Environment, 194. Elsevier, 65-. doi: 10.1016/j.agee.2014.06.023

    , S., SP;, B., B;, H., SK;, T., JB;, R., , G. (2014). Long-term nitrate loss along an agricultural intensity gradient in the Upper Midwest USA (vol 149, pg 10, 2012) In nan, AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 194.0(nan). ELSEVIER SCIENCE BV, 65-65. doi: 10.1016/j.agee.2014.06.023

2013

    Asseng, S. et al. (2013). Uncertainty in simulating wheat yields under climate change. Nature Climate Change, 3(9), 827-832. doi: https://doi.org/10.1038%2Fnclimate1916

    Basso, B., & Sartori, L. (2013). Agricoltura di precisione per la sostenibilità degli agro-ecosistemi. In M. Pisante (Ed.), Agricoltura Sostenibile. Gruppo24ore, 271-318.

    Basso, B., Cammarano, D., Carfagna, E. (2013). Review of crop yield forecasting methods and early warning systems. Improving methods for crops estimates. Rome, Italy: FAO Publication.

    Basso, B., Cammarano, D., Fiorentino, C., Ritchie, J.T. (2013). Wheat yield response to spatially variable nitrogen fertilizer in Mediterranean environment. European Journal of Agronomy, 51, 65-70. doi: https://doi.org/10.1016%2Fj.eja.2013.06.007

    Basso, B., Kendall, A.D., Hyndman, D.W. (2013). The future of agriculture over the Ogallala Aquifer: Solutions to grow crops more efficiently with limited water. Earths Future, 1(1), 39-41. doi: https://doi.org/10.1002%2F2013ef000107

    Cammarano, D. et al. (2013). Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US. Regional Environmental Change, 13(1), 101-110. doi: https://doi.org/10.1007%2Fs10113-013-0410-1

    Casa, R., Castaldi, F., Pascucci, S., Basso, B., Pignatti, S. (2013). Geophysical and hyperspectral data fusion techniques for in-field estimation of soil properties. Vadose Zone Journal, 12(4). doi: https://doi.org/10.2136%2Fvzj2012.0201

    Colecchia, S.A. et al. (2013). On the relationship between N management and grain protein content in six durum wheat cultivars in Mediterranean environment. Journal of Plant Interactions, 8(3), 271-279. doi: https://doi.org/10.1080%2F17429145.2012.710656

    Culman, S.W., Snapp, S.S., Ollenburger, M., Basso, B., DeHaan, L.R. (2013). Soil and water quality rapidly responds to the perennial grain kernza wheatgrass. Agronomy Journal, 105(3), 735. doi: https://doi.org/10.2134%2Fagronj2012.0273

    Dumont, B., Basso, B., Leemans, V., Bodson, B., Destain, J.-P., Destain, M.-F. (2013). Yield variability linked to climate uncertainty and nitrogen fertilisation. In J.V. Stafford (Ed.), Precision Agriculture ’13. Wageningen, Netherlands: Wageningen Academic Publishers, 427-434. doi: 10.3920/978-90-8686-778-3_52

    Dzotsi, K.A., Basso, B., Jones, J.W. (2013). Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT. Ecological Modelling, 260, 62-76. doi: https://doi.org/10.1016/j.ecolmodel.2013.03.017

    Marino, S., Basso, B., Leone, A.P., Alvino, A. (2013). Agronomic traits and vegetation indices of two onion hybrids. Scientia Horticulturae, 155, 56-64. doi: https://doi.org/10.1016/j.scienta.2013.03.007

    Notarpietro, R. et al. (2013). Towards sustainable agricultural management using highresolution X-band radar precipitation estimates Proceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013, 915-918. doi: 10.1109/ICEAA.2013.6632373

    Ponti, L. et al. (2013). Olive agroecosystems in the Mediterranean Basin: multitrophic analysis of climate effects with process-based representation of soil water balance. Procedia Environmental Sciences, 19, 122-131. doi: https://doi.org/10.1016%2Fj.proenv.2013.06.014

    Rosenzweig, C. et al. (2013). The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies. Agricultural and Forest Meteorology, 170, 166-182. doi: https://doi.org/10.1016%2Fj.agrformet.2012.09.011

    Sartori, L., Basso, B., Pezzuolo, A. (2013). Ottimizzare la produzione con la semina a dose variabile. Informatore Agrario, 48-51.

2012

    Basso, B., & Ritchie, J.T. (2012). Assessing the impact of management strategies on water use efficiency using soil-plant-atmosphere models Vadose Zone Journal, 11(3), -. doi: 10.2136/vzj2011.0173

    Basso, B., Ritchie, J.T., Jones, J.W. (2012). On modeling approaches for effective assessment of hydrology of bioenergy crops: Comments on Le et al. (2011) Proc Natl Acad Sci USA 108:15085-15090 European Journal of Agronomy, 38(1), 64-65. doi: 10.1016/j.eja.2011.11.009

    Basso, B. et al. (2012). Evaluating Responses to Land Degradation Mitigation Measures in Southern Italy. International Journal of Environmental Research, 6(2), 367-380. doi: 10.22059/IJER.2012.504

    Basso, B., Fiorentino, C., Cammarano, D., Cafiero, G., Dardanelli, J. (2012). Analysis of rainfall distribution on spatial and temporal patterns of wheat yield in Mediterranean environment. European Journal of Agronomy, 41, 52-65. doi: https://doi.org/10.1016%2Fj.eja.2012.03.007

    Basso, B., & Ritchie, J.T. (2012). Assessing the impact of management strategies on water use efficiency using soil–plant–atmosphere models. Vadose Zone Journal, 11(3). doi: https://doi.org/10.2136%2Fvzj2011.0173

    Basso, B., Ritchie, J.T., Jones, J.W. (2012). On modeling approaches for effective assessment of hydrology of bioenergy crops: Comments on Le et al. (2011) Proc Natl Acad Sci USA 108:15085–15090. European Journal of Agronomy, 38, 64-65. doi: https://doi.org/10.1016%2Fj.eja.2011.11.009

    Basso, B. et al. (2012). Environmental and economic evaluation of N fertilizer rates in a maize crop in Italy: A spatial and temporal analysis using crop models. Biosystems Engineering, 113(2), 103-111. doi: https://doi.org/10.1016/j.biosystemseng.2012.06.012

    Cammarano, D., Basso, B., Stefanova, L., Grace, P. (2012). Adapting wheat sowing dates to projected climate change in the Australian subtropics: analysis of crop water use and yield. Crop and Pasture Science, 63(10), 974. doi: https://doi.org/10.1071%2Fcp11324

    Cammarano, D., Payero, J., Basso, B., Wilkens, P., Grace, P. (2012). Agronomic and economic evaluation of irrigation strategies on cotton lint yield in Australia. Crop and Pasture Science, 63(7), 647. doi: https://doi.org/10.1071%2Fcp12024

    Diacono, M., Castrignanò, A., Troccoli, A., Benedetto, D.D., Basso, B., Rubino, P. (2012). Spatial and temporal variability of wheat grain yield and quality in a Mediterranean environment: A multivariate geostatistical approach. Field Crops Research, 131, 49-62. doi: https://doi.org/10.1016%2Fj.fcr.2012.03.004

    Giola, P., Basso, B., Pruneddu, G., Giunta, F., Jones, J.W. (2012). Impact of manure and slurry applications on soil nitrate in a maize-triticale rotation: Field study and long term simulation analysis European Journal of Agronomy, 38(1), 43-53. doi: 10.1016/j.eja.2011.12.001

    Giola, P., Basso, B., Pruneddu, G., Giunta, F., Jones, J.W. (2012). Impact of manure and slurry applications on soil nitrate in a maize–triticale rotation: field study and long term simulation analysis. European Journal of Agronomy, 38, 43-53. doi: https://doi.org/10.1016%2Fj.eja.2011.12.001

    Grace, P.R., Antle, J., Aggarwal, P.K., Ogle, S., Paustian, K., Basso, B. (2012). Soil carbon sequestration and associated economic costs for farming systems of the Indo-Gangetic Plain: A meta-analysis. Agriculture, Ecosystems & Environment, 146(1), 137-146. doi: https://doi.org/10.1016%2Fj.agee.2011.10.019

    Grace, P.R., & Basso, B. (2012). Offsetting greenhouse gas emissions through biological carbon sequestration in North Eastern Australia. Agricultural Systems, 105(1), 1-6. doi: https://doi.org/10.1016%2Fj.agsy.2011.08.006

    , L. et al. (2012). Optimizing Parameters of CSM-CERES-Maize Model to Improve Simulation Performance of Maize Growth and Nitrogen Uptake in Northeast China In nan, JOURNAL OF INTEGRATIVE AGRICULTURE, 11.0(11). ELSEVIER SCI LTD, 1898-1913. doi: 10.1016/S2095-3119(12)60196-8

    , R., N;, S., HL;, K., , R. (2012). SIMULATION, VALIDATION AND APPLICATION OF CERES-MAIZE MODEL FOR YIELD MAXIMIZATION OF MAIZE IN NORTH WESTERN HIMALAYAS In nan, APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 10.0(3). CORVINUS UNIV BUDAPEST, 303-318. doi: 10.15666/aeer/1003_303318

    Sartori, L., Basso, B., Pezzuolo, A. (2012). Mais e frumento sostenibili con la concimazione a dose variabile. Informatore Agrario, 23, 51-54.

    Syswerda, S.P., Basso, B., Hamilton, S.K., Tausig, J.B., Robertson, G.P. (2012). Long-term nitrate loss along an agricultural intensity gradient in the Upper Midwest USA. Agriculture, Ecosystems & Environment, 149, 10-19. doi: https://doi.org/10.1016/j.agee.2011.12.007

    Todaro, L., Zuccaro, L., Marra, M., Basso, B., Scopa, A. (2012). Steaming effects on selected wood properties of Turkey oak by spectral analysis Wood Science and Technology, 46(1-3), 89-100. doi: 10.1007/s00226-010-0377-8

2011

    Basso, B., Cammarano, D., Cafiero, G., Marino, S., Alvino, A. (2011). Cultivar discrimination at different site elevations with remotely sensed vegetation indices. Italian Journal of Agronomy, 6(1). doi: https://doi.org/10.4081%2Fija.2011.e1

    Basso, B. et al. (2011). Procedures for initializing soil organic carbon pools in the DSSAT-CENTURY model for agricultural systems. Soil Science Society of America Journal, 75(1), 69. doi: https://doi.org/10.2136%2Fsssaj2010.0115

    Basso, B., Ritchie, J.T., Cammarano, D., Sartori, L. (2011). A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field. European Journal of Agronomy, 35(4), 215-222. doi: https://doi.org/10.1016%2Fj.eja.2011.06.004

    Basso, B., Sartori, L., Bertocco, M., Cammarano, D., Martin, E.C., Grace, P.R. (2011). Economic and environmental evaluation of site-specific tillage in a maize crop in NE Italy. European Journal of Agronomy, 35(2), 83-92. doi: https://doi.org/10.1016%2Fj.eja.2011.04.002

    Cammarano, D., Fitzgerald, G., Basso, B., Chen, D., Grace, P., OLeary, G. (2011). Remote estimation of chlorophyll on two wheat cultivars in two rainfed environments. Crop and Pasture Science, 62(4), 269. doi: https://doi.org/10.1071%2Fcp10100

    Cammarano, D. et al. (2011). Use of the canopy chlorophyl content index (CCCI) for remote estimation of wheat nitrogen content in rainfed environments. Agronomy Journal, 103(6), 1597. doi: https://doi.org/10.2134%2Fagronj2011.0124

    , D., KC;, A., AA;, A., JC;, H., , N. (2011). MODELING OF FULL AND LIMITED IRRIGATION SCENARIOS FOR CORN IN A SEMIARID ENVIRONMENT In nan, TRANSACTIONS OF THE ASABE, 54.0(2). AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS, 481-492. doi: nan

    Finley, A.O., Banerjee, S., Basso, B. (2011). Improving crop model inference through Bayesian melding with spatially varying parameters. Journal of Agricultural, Biological, and Environmental Statistics, 16(4), 453-474. doi: https://doi.org/10.1007%2Fs13253-011-0070-x

    Fiorentino, C., Tarantino, C., Pasquariello, G., Basso, B. (2011). Improved Method For Discriminating Agricultural Crops Using Geostatistics And Remote Sensing. Journal of Applied Remote Sensing, 5(1), 1-18. doi: 10.1117/1.3601437

    Grace, P.R. et al. (2011). The contribution of maize cropping in the Midwest USA to global warming: A regional estimate. Agricultural Systems, 104(3), 292-296. doi: https://doi.org/10.1016%2Fj.agsy.2010.09.001

    Martin, E.C., Sriboonlue, S., Basso, B., Subramani, J. (2011). Dairy manure impact on soil phosphorous, nitrogen, and salt accumulation in an oat-maize rotation in Southwestern United States. Applied Engineering in Agriculture, 27(1), 87-95.

2010

    Basso, B. et al. (2010). Two-dimensional spatial and temporal variation of soil physical properties in tillage systems using electrical resistivity tomography. Agronomy Journal, 102(2), 440. doi: https://doi.org/10.2134%2Fagronj2009.0298

    Basso, B., Cammarano, D., Troccoli, A., Chen, D., Ritchie, J.T. (2010). Long-term wheat response to nitrogen in a rainfed Mediterranean environment: Field data and simulation analysis. European Journal of Agronomy, 33(2), 132-138. doi: https://doi.org/10.1016%2Fj.eja.2010.04.004

    Basso, B. et al. (2010). Analysis of contributing factors to desertification and mitigation measures in Basilicata region. Italian Journal of Agronomy, 5(3), 33. doi: https://doi.org/10.4081%2Fija.2010.s3.33

    Grace, P.R., Antle, J., Ogle, S., Paustian, K., Basso, B. (2010). Soil carbon sequestration rates and associated economic costs for farming systems of south-eastern Australia. Australian Journal of Soil Research, 48(8), 720. doi: https://doi.org/10.1071%2Fsr10063

    , K. et al. (2010). Validation of CERES-Maize model for growth, yield attributes and yield of kharif maize for NEPZ of eastern U. P. In nan, JOURNAL OF AGROMETEOROLOGY, 12.0(1). ASSOC AGROMETEROLOGISTS, 118-120. doi: nan

    , P. et al. (2010). Calibration and validation of CERES-wheat model for wheat in middle Gujarat region In nan, JOURNAL OF AGROMETEOROLOGY, 12.0(1). ASSOC AGROMETEROLOGISTS, 114-117. doi: nan

    , S., K;, B., OP;, N., R;, K., , M. (2010). Impact assessment of climatic variability on wheat and pearl millet productivity using CERES models in arid zone of Haryana In nan, JOURNAL OF AGROMETEOROLOGY, 12.0(1). ASSOC AGROMETEROLOGISTS, 123-127. doi: nan

    Sørensen, C.G. et al. (2010). Conceptual model of a future farm management information system. Computers and Electronics in Agriculture, 72(1), 37-47. doi: https://doi.org/10.1016/j.compag.2010.02.003

2009

    Basso, B. et al. (2009). Landscape position and precipitation effects on spatial variability of wheat yield and grain protein in Southern Italy. Journal of Agronomy and Crop Science, 195(4), 301-312. doi: https://doi.org/10.1111%2Fj.1439-037x.2008.00351.x

    Basso, B. et al. (2009). Farmer's risk in decision making: The case of nitrogen application rates Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, 927-933.

    Basso, B. et al. (2009). Criteria for selecting optimal nitrogen fertilizer rates for precision agriculture. Italian Journal of Agronomy, 4(4), 147-158. doi: https://doi.org/10.4081%2Fija.2009.4.147

    Castrignanò, A. et al. (2009). Delineation of site-specific management zones using geostatistics and fuzzy clustering analysis Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009. Wageningen Academic Publishers, 477-484.

    Fountas, S. et al. (2009). Management strategies and practices for precision agriculture operations Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, 893-898.

    , K., N;, T., , P. (2009). Simulation modeling of rice genotypes of yield and yield attributes at different nitrogen levels and different dates of transplanting using CERES 3.5 v for eastern Uttar Pradesh In nan, MAUSAM, 60.0(4). INDIA METEOROLOGICAL DEPT, 521-524. doi: nan

    Pedersen, S.M. et al. (2009). Potential savings and economic benefits in arable farming from better precision farming and information management Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, 919-926.

    Senthilkumar, S., Basso, B., Kravchenko, A., Robertson, G.P. (2009). Contemporary Evidence of Soil Carbon Loss in the U.S. Corn Belt. Soil Science Society of America Journal, 73(6), 2078-2086. doi: 10.2136/sssaj2009.0044

    , S., S;, B., B;, K., AN;, R., , G. (2009). Contemporary Evidence of Soil Carbon Loss in the US Corn Belt In nan, SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 73.0(6). WILEY, 2078-2086. doi: 10.2136/sssaj2009.0044

    Sørensen, C.G., Fountas, S., Basso, B., Pesonen, L., Pedersen, S.M., Nash, E. (2009). System analysis of management information systems for the future Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, 943-950.

2008

    Amato, M., Basso, B., Celano, G., Bitella, G., Morelli, G., Rossi, R. (2008). In situ detection of tree root distribution and biomass by multi-electrode resistivity imaging Tree Physiology, 28(10). Heron Publishing, 1441-1448. doi: 10.1093/treephys/28.10.1441

    Bertocco, M., Basso, B., Sartori, L., Martin, E.C. (2008). Evaluating energy efficiency of site-specific tillage in maize in NE Italy. Bioresource Technology, 99(15), 6957-6965. doi: https://doi.org/10.1016/j.biortech.2008.01.027

    Castrignan, A., Fiorentino, C., Buttafuoco, G., Troccoli, A., Pisante, M., Basso, B. (2008). A combined approach to delineating management zones for precision agriculture In Pisa P.R, Italian Journal of Agronomy, 3(3). Page Press Publications, 147-148.

    Metzidakis, I., Martinez-Vilela, A., Castro Nieto, G., Basso, B. (2008). Intensive olive orchards on sloping land: Good water and pest management are essential. Journal of Environmental Management, 89(2), 120-128. doi: https://doi.org/10.1016/j.jenvman.2007.04.028

    Ritchie, J.T., & Basso, B. (2008). Water use efficiency is not constant when crop water supply is adequate or fixed: The role of agronomic management. European Journal of Agronomy, 28(3), 273-281. doi: https://doi.org/10.1016%2Fj.eja.2007.08.003

2007

    Basso, B., Bertocco, M., Sartori, L., Martin, E.C. (2007). Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation European Journal of Agronomy, 26(2), 82-91. doi: 10.1016/j.eja.2006.08.008

    Basso, B., McVicar, T.R., Lee, B. (2007). Remote sensing and GIS applications in agrometeorology. In K. Stitger (Ed.), Guidelines of agrometeorological practices. World Meteorological Organization of the United Nation. Geneva. Switzerland.

    Basso, B., & Bertocco, M. (2007). Agricoltura di precisione per scegliere quando irrigare. Informatore Agrario, 9(9), 53-55.

    Basso, B., Bertocco, M., Sartori, L. (2007). Agricoltura di precisione come e quando conviene. Informatore Agrario, 52-55.

    Basso, B., Bertocco, M., Sartori, L., Martin, E.C. (2007). Analyzing the effects of climate variability on spatial pattern of yield in a maize–wheat–soybean rotation. European Journal of Agronomy, 26(2), 82-91. doi: https://doi.org/10.1016%2Fj.eja.2006.08.008

    Bertocco, M., & Basso, B. (2007). Scegliere l'epoca di semina per ottimizzare la produzione Informatore Agrario, 55-57.

    Sartori, L., Bertocco, M., Basso, B. (2007). Lavorazioni conservative abbinate all'agricoltura di precisione. Informatore Agrario, 42, 93-99.

    Sartori, L., Bertocco, M., Basso, B. (2007). Risparmiare con la giusta lavorazione del terreno. Informatore Agrario, 56-59.

    , T., KR;, B., WD;, P., JO;, K., AL;, D., , K. (2007). Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture In nan, TRANSACTIONS OF THE ASABE, 50.0(4). AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS, 1467-1479. doi: nan

    Yang, L.S., Chien, C.Y., Basso, B., Chou, T.Y. (2007). An integrated Web-GIS system to evaluate land use sustainability 28th Asian Conference on Remote Sensing 2007, ACRS 2007, 1, 345-350.

2006

    Basso, B. (2006). Water use efficiency in crop production at different spatial and temporal scales. Italian Journal of Agronomy, 1(3), 475-495. doi: https://doi.org/10.4081/ija.2006.s3.475

    Basso, B., Ritchie, J.T., Grace, P.R., Sartori, L. (2006). Simulation of tillage systems impact on soil biophysical properties using the SALUS model. Italian Journal of Agronomy, 1(4), 677. doi: https://doi.org/10.4081%2Fija.2006.677

    Martin, E.C., Slack, D.C., Tanksley, K.A., Basso, B. (2006). Effects of fresh and composted dairy manure applications on alfalfa yield and the environment in Arizona. Agronomy Journal, 98(1), 80-84. doi: 10.2134/agronj2005.0039

2005

    Basso, B., & Ritchie, J.T. (2005). Impact of compost, manure and inorganic fertilizer on nitrate leaching and yield for a 6-year maize-alfalfa rotation in Michigan Agriculture, Ecosystems and Environment, 108(4), 329-341. doi: 10.1016/j.agee.2005.01.011

    Basso, B. (2005). Digital terrain analysis: Data source, resolution and application for modeling physical processes in agroecosystems. Italian Journal of Agrometeorology, 2(5), 5-14.

    Basso, B., & Bertocco, M. (2005). Effetti economici e ambientali della concimazione a dose variabile. Informatore Agrario, 30-32.

    Basso, B., Bertocco, M., Sartori, L. (2005). Agricoltura di precisione: concetti teorici e applicazioni pratiche. In J.J. Sierra & A.S. Remeses (Eds.), Collana Libri, L'informatore Agrario. L'informatore agrario.

    Basso, B., Bertocco, M., Sartori, L., Rotundo, A. (2005). La viticoltura sito-specifica. VQ, 20-33.

    Basso, B., & Ritchie, J.T. (2005). Impact of compost, manure and inorganic fertilizer on nitrate leaching and yield for a 6-year maize–alfalfa rotation in Michigan. Agriculture, Ecosystems & Environment, 108(4), 329-341. doi: https://doi.org/10.1016%2Fj.agee.2005.01.011

    Bertocco, M., Basso, B., Sartori, L. (2005). Metodi per definire le dosi variabili di fertilizzante. Informatore Agrario, 27-30.

    Bertocco, M., Basso, B., Sartori, L., Rotundo, A. (2005). La viticoltura sito-specifica parte II. VQ, 92-101.

    Sartori, L., Basso, B., Bertocco, M., Oliviero, G. (2005). Energy Use and Economic Evaluation of a Three Year Crop Rotation for Conservation and Organic Farming in NE Italy. Biosystems Engineering, 91(2), 245-256. doi: https://doi.org/10.1016/j.biosystemseng.2005.03.010

2004

    Basso, B., Cammarano, D., De Vita, P., Faraone Mennella, R. (2004). Stima della riflettanza spettrale di frumento duro (Triticum Durum Desf.) con copertura vegetale variabile mediante indici di vegetazione. Italian Journal of Remote Sensing, 32, 20-29.

    Basso, B., Cammarano, D., De Vita, P. (2004). Remotely sensed vegetation indices: Theory and applications for crop management. Italian Journal of Agrometeorology, 1, 36-53.

    Borin, M., & Basso, B. (2004). La sostanza organica nei suoli agrari. Articolo su invito. Numero speciale sostanza organica. Mondo Macchina, 1, 20-25.

    , K., R;, S., , H. (2004). Simulation and validation of CERES-Rice (DSSAT) model in north-western Himalayas In nan, INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 74.0(3). INDIAN COUNC AGRICULTURAL RES, 133-137. doi: nan

    , S., SA;, N., DC;, M., L;, A., LR;, H., , A. (2004). Modeling nitrogen management effects on winter wheat production using RZWQM and CERES-wheat In nan, AGRONOMY JOURNAL, 96.0(3). WILEY, 615-630. doi: 10.2134/agronj2004.0615

2003

    , A., ME;, C., , R. (2003). Evaluation of CERES-Maize of DSSAT model to simulate nitrate leaching, yield and soil moisture content under tropical conditions In nan, JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 1.0(3-4). WFL PUBL, 270-276. doi: nan

    Basso, B. (2003). Perspectives of Precision Agriculture. In L. García-Torres, J. Benites, A. Martínez-Vilela, & A. Holgado-Cabrera (Eds.), Conservation Agriculture. Springer, Dordrecht, 281-288. doi: https://doi.org/10.1007/978-94-017-1143-2_34

    Basso, B. et al. (2003). Assessing and modeling spatial variability of yield and grain quality of durum wheat under extreme dry conditions. In J. Stafford & A. Werner (Eds.), Precision Agriculture. Wageningen, Netherlands: Wageningen Academic Publishers, 53-59.

    Basso, B., Sartori, L., Bertocco, M., Olivero, G. (2003). Evaluation of variable depth tillage: economic aspects and simulation of long term effects on soil organic matter and soil physical properties. In J. Stafford & A. Werner (Eds.), Precision Agriculture. Wageningen, Netherlands: Wageningen Academic Publishers, 62-70.

    , B., & , B. (2003). Perspectives of precision agriculture in conservation agriculture In GarciaTorres, L; Benites, J; MartinezVilela, A; HolgadoCabrera, A, CONSERVATION AGRICULTURE: ENVIRONMENT, FARMERS EXPERIENCES, INNOVATIONS, SOCIO-ECONOMY, POLICY, nan(nan). SPRINGER, 281-288. doi: nan

    , B. et al. (2003). Assessing and modelling spatial variability of yield and grain quality of durum wheat under extreme dry conditions In Stafford, J; Werner, A, PRECISION AGRICULTURE, nan(nan). WAGENINGEN ACAD PUBL, 53-59. doi: nan

    Ben, N., B;, K., N;, M., , M. (2003). Using the CERES-Maize model in a semi-arid Mediterranean environment. New modelling of leaf area and water stress functions In nan, EUROPEAN JOURNAL OF AGRONOMY, 19.0(2). ELSEVIER, 115-123. doi: nan

    Braga, R.N., & Basso, B. (2003). Assessing potential for site specific irrigation using CERES-Maize Crop model. In J. Stafford & A. Werner (Eds.), Precision Agriculture. Wageningen, Netherlands: Wageningen Academic Publishers, 260-265.

2002

    Basso, B., Oliviero, G., Maddalena, V., Sartori, L., Vallerani, C., Chillemi, G. (2002). Uso di modelli previsionali per l'ottimizzazione delle risorse agroambientali. Applicazione in una azienda del Veneto. Inserto Speciale. Terra e Vita, 9, 63-70.

    Basso, B., & Ritchie, J.T. (2002). Application of crop models in precision agriculture. In A. Werner & A. Jarfe (Eds.), Precision Agriculture. Bonn, Germany, 181-193.

    Basso, F., Pisante, M., Basso, B. (2002). Soil erosion and land degradation. In N.A. Geeson, C.J. Brandt, & J.B. Thornes (Eds.), Mediterranean Desertification: A Mosaic Of Processes And Responses. John Wiley & Sons Ltd, 347-359.

    Basso, F., Pisante, M., Basso, B. (2002). The Agrivalley-sustainable agriculture in dry environment: crop system and management. In N.A. Geeson, C.J. Brandt, & J.B. Thornes (Eds.), Mediterranean Desertification: A Mosaic Of Processes And Responses. John Wiley & Sons Ltd, 331-346.

    Batchelor, W.D., Basso, B., Paz, J.O. (2002). Examples of strategies to analyze spatial and temporal yield variability using crop models. European Journal of Agronomy, 18(1), 141-158. doi: 10.1016/S1161-0301(02)00101-6

2001

    , A., ME;, C., , R. (2001). Simulation of maize yield and N uptake under tropical conditions with the CERES-Maize model In nan, TROPICAL AGRICULTURE, 78.0(4). TROPICAL AGRICULTURE, 211-217. doi: nan

    Basso, B., Ritchie, J.T., Pierce, F.J., Braga, R.P., Jones, J.W. (2001). Spatial validation of crop models for precision agriculture. Agricultural Systems, 68(2), 97-112. doi: 10.1016/S0308-521X(00)00063-9

2000

    Basso, B., Ritchie, J.T., Gallant, J.C., Baer, B.D. (2000). Digital terrain modeling to predict spatial variability of soil water balance 2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century, 1, 487-501.

    Basso, F., De Franchi, A.S., Pisante, M., Basso, B., Landi, G. (2000). Influence of tillage methods on soil erosion and yield in southern hilly crop systems. Italian Journal of Agronomy, 34(2), 296-305.

    , B. et al. (2000). Evaluating environmental sensitivity at the basin scale through the use of geographic information systems and remotely sensed data: an example covering the Agri basin (Southern Italy) In nan, CATENA, 40.0(1). ELSEVIER SCIENCE BV, 19-35. doi: 10.1016/S0341-8162(99)00062-4

    , I. et al. (2000). Evaluating methods for simulating soybean cultivar responses using cross validation In nan, AGRONOMY JOURNAL, 92.0(6). AMER SOC AGRONOMY, 1140-1149. doi: 10.2134/agronj2000.9261140x

    Ritchie, J.T., Alagarswamy, G., Piggott, S., Basso, B. (2000). Assessment of stand uniformity as a source of spatial yield variability in Crop models 2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century, 1, 469-485.

    , Z., Z;, T., M;, D., , M. (2000). Change of spring barley production potential using crop model CERES-barley In nan, ROSTLINNA VYROBA, 46.0(9). INST AGRICULTURAL FOOD INFORMATION, 423-428. doi: nan

1999

    Basso, B., & Stornaiuolo, S. (1999). Agricoltura di precisione: aspetti conoscitivi e possibilità di attuazione. Agricoltura e Ricerca, 179(1), 7-20.

    Braga, R.P., Jones, J.W., Basso, B. (1999). Weather induced variability in site-specific management profitability: a case study. In P.C. Robert, R.H. Rust, & W.E. Larson (Eds.), Precision Agriculture. Madison, Wisconsin, USA: ASA-CSSA-SSSA, 1853-1863. doi: 10.2134/1999.precisionagproc4.c89b

    Cora, J.E., Pierce, F.J., Basso, B., Ritchie, J.T. (1999). Simulation of within-field variability of corn yield with Ceres-Maize Model. In P.C. Robert, R.H. Rust, & W.E. Larson (Eds.), Precision Agriculture. Madison, Wisconsin, USA: ASA-CSSA-SSSA, 1309-1319. doi: 10.2134/1999.precisionagproc4.c34b

1998

    Basso, F., Pisante, M., Basso, B. (1998). Desertification in southern Italy. Medit, 9(4), 49-57.

    Basso, F., Pisante, M., Basso, B. (1998). Agronomical aspects of officinal plant cultivation. Phytotherapy Research, 12(1), 131-134.

    Stornaiuolo, S., & Basso, B. (1998). Impiego del misuratore di clorofilla per migliore gestione dei fertilizzanti azotati. Agricoltura e Ricerca, 178, 101-108.

1997

    Basso, F., Pisante, M., De Franchi, A.S., Basso, B. (1997). La difesa dai fenomeni erosivi nell'Italia meridionale. Informatore Agrario, 43, 33.

1996

    , A., OO;, M., , S. (1996). Usage of soil moisture models in agronomic research In nan, CANADIAN JOURNAL OF SOIL SCIENCE, 76.0(3). AGR INST CANADA, 285-295. doi: 10.4141/cjss96-035

    Pisante, M., Basso, B., Carafa, A.C., Stornaiuolo, S. (1996). The possibility of cultivating spelt in arid environment in Southern Italy. Italian Journal of Agronomy, 30, 147-153.

1995

    , M., MH;, G., , J. (1995). VALIDATION OF THE SUBSTOR MODEL FOR SIMULATING SOIL-WATER CONTENT In nan, TRANSACTIONS OF THE ASAE, 38.0(2). AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS, 513-520. doi: nan

1992

    , B., F;, P., M;, B., , B. (1992). EFFECT OF SOIL TILLAGE SYSTEMS ON GROWTH AND YIELD OF SUNFLOWER (HELIANTHUS-ANNUUS L) IN SOUTHERN ITALY In Scaife, A, SECOND CONGRESS OF THE EUROPEAN SOCIETY FOR AGRONOMY, nan(nan). EUROPEAN SOCIETY AGRONOMY, 30-31. doi: nan

    , Y., MA;, B., B;, K., , F. (1992). DL-ALPHA-DIFLUOROMETHYLARGININE INHIBITS INTRACELLULAR TRYPANOSOMA-CRUZI MULTIPLICATION BY AFFECTING CELL-DIVISION BUT NOT TRYPOMASTIGOTE-AMASTIGOTE TRANSFORMATION In nan, JOURNAL OF PARASITOLOGY, 78.0(3). AMER SOC PARASITOLOGISTS, 414-419. doi: 10.2307/3283637

    Yakubu, M.A., Basso, B., Kierszenbaum, F. (1992). DL-α-difluoromethylarginine inhibits intracellular Trypanosoma cruzi multiplication by affecting cell division but not trypomastigote-amastigote transformation Journal of Parasitology, 78(3), 414-419. doi: 10.2307/3283637