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Frontier analysis for wheat crops in Uruguay (eastern Pampas of South America). The x-axis shows a climatic index (more negative means less favorable for wheat). The red dots are field-level yield realizations for five different years. The black dots are the calculated attainable yield. The difference between black and red dot pairs is the yield gap (inneficiency function). The small graph shows the calculated frontier yield. Warming reduces the attainable wheat yield in the region. (Credit: O. Ernst)

Frontier analysis for wheat crops in Uruguay (eastern Pampas of South America). The x-axis shows a climatic index (more negative means less favorable for wheat). The red dots are field-level yield realizations for five different years. The black dots are the calculated attainable yield. The difference between black and red dot pairs is the yield gap (inneficiency function). The small graph shows the calculated frontier yield. Warming reduces the attainable wheat yield in the region. (Credit: O. Ernst)

  1. Wolfe, D, AT DeGaetano, GM Peck, M Carey, LH Ziska, J Lea-Cox, AR Kemanian, MP Hoffmann, and DY Hollinger. 2018. Unique challenges and opportunities for northeastern U.S. crop production in a changing climate. Climatic Change doi.org/10.1007/s10584-017-2109-7
  2. Hoffman AL, AR Kemanian and CE Forest, 2017. Analysis of climate signals in the crop yield record of Sub-Saharan Africa. Global Change Biology
    10.1111/gcb.13901
  3. Fabio, ES, TA Volk, RO Miller, MJ Serapiglia, AR Kemanian, F Montes, YA Kuzovkina, GJ Kling, LB Smart. 2017. Contributions of environment and genotype to variation in shrub willow biomass composition. Industrial Crops and Products 108, 149-161.
  4. Fabio, ES, AR Kemanian, F Montes, R Miller and L Smart. 2017, A mixed-model approach for evaluating yield improvements in interspecific hybrids of shrub willow, a dedicated bioenergy crop. Industrial Crops and Products 96:57-70.
  5. Saha D, AR Kemanian, BM Rau, PR Adler and F Montes, 2017. Designing efficient nitrous oxide sampling strategies in agroecosystems using simulation models. Atmospheric Environment 155, 189-198.
  6. Saha, D, BM Rau, JP Kaye, F Montes, PR Adler and AR Kemanian, 2017. Landscape control of nitrous oxide emissions during the transition from conservation reserve program to perennial grasses for bioenergy. GCB Bioenergy 9, 783-795.
  7. Woodbury PB, AR Kemanian, M Jacobson and M Langholtz, 2017. Improving water quality in the Chesapeake Bay using payments for ecosystem services for perennial biomass for bioenergy and biofuel production. Biomass and Bioenergy.
  8. White, CM, D Finney, AR Kemanian and JP Kaye, 2016. A model-data fusion approach for predicting cover crop nitrogen supply to corn. Agronomy Journal 108:1-14. 
  9. Camargo, GGT and AR Kemanian, 2016. Six crop models differ in their simulation of water uptake. Agricultural and Forest Meteorology 220, 116-129.
  10. Ernst, OR, AR Kemanian, SR Mazzilli, M Cadenazzi, and S Dogliotti, 2016. Depressed attainable wheat yields under continuous annual no-till agriculture suggest declining soil productivity. Field Crops Research 186, 107-116.
  11. Mazzilli, SR, AR Kemanian, OR Ernst, RB Jackson, and G Piñeiro, 2015. Greater humification of belowground than aboveground biomass carbon into particulate soil organic matter in no-till corn and soybean crops. Soil Biology and Biochemistry 85, 22-30.
  12. Makowski, D, S Asseng, F Ewert, S Bassu, JL Durand, T Lie, P Martre, M Adam PK Aggarwal, C Angulo, C Baron, B Basso, P Bertuzzi, C Biernath, H Boogaard, KJ Boote, B Bouman, S Bregaglio, N Brisson, S Buis, D Cammarano, AJ Challinor, R Confalonieri, JG Conijn, M Corbeels, D Deryng, G De Sanctis, J Doltra, T Fumoto, D Gaydon, S Gayler, R Goldberg, RF Grant, P Grassini, JL Hatfield, T Hasegawa, L Heng, S Hoek, J Hooker, LA Hunt, J Ingwersen, RC Izaurralde, REE Jongschaap, JW Jones, AR Kemanian, KC Kersebaum, S-H Kim, J Lizaso, M Marcaida, C Müller, H Nakagawa, S Naresh Kumar, C Nendel, GJ O’Leary, JE Olesen, P Oriol, TM Osborne, T Palosuo, MV Pravia, E Priesack, D Ripoche, C Rosenzweig, AC Ruane, F Ruget, F Sau, MA Semenov, I Shcherbak, B Singh, U Singh, HK Soo, P Steduto, C Stöckle, P Stratonovitch, T Streck, I Supit, L Tange, F Tao, EI Teixeira, P Thorburn, D Timlin, M Travasso, RP Rötter, K Waha, D Wallach, JW White, P Wilkens, JR Williams, J Wolf, X Yin, H Yoshida, Z Zhang, Y Zhu. 2015. A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. Agricultural and Forest Meteorology, 214: 483-493.
  13. White, C M, AR Kemanian and JP Kaye, 2014. Implications of carbon saturation model structures for simulated nitrogen mineralization dynamics. Biogeosciences 11(23), 6725-6738.
  14. Stöckle, CO, AR Kemanian, RL Nelson, JC Adam, R Sommer, and B Carlson, 2014. CropSyst model evolution: from field to regional to global scales and from research to decision support systems. Environmental Modelling & Software 62, 361-369.
  15. Kumudini, S, FH Andrade, KJ Boote, GA Brown, KA Dzotsi, GO Edmeades, T Gocken, M Goodwin, AL Halter, GL Hammer, JL Hatfield, JW Jones; AR Kemanian, S-H. Kim, J Kiniry, JI Lizaso, C Nendel, RL Nielsen, B Parent, CO Stöckle, F Tardieu, PR Thomison, DJ Timlin, TJ Vyn; D Wallach, HS Yang, and M Tollenaar, 2014. Predicting maize phenology: Intercomparison of functions for developmental response to temperature. Agronomy Journal 106, 2087-2097.
  16. Timlin, DJ, DH Fleisher, AR Kemanian and VR Reddy, 2014. Plant density and leaf area index effects on the distribution of light transmittance to the soil surface in maize. Agronomy Journal 106, 1–10.
  17. Mazzilli SR, AR Kemanian, OR Ernst, RB Jackson, and G Piñeiro. 2014. Priming of soil organic carbon decomposition induced by corn compared to soybean crops. Soil Biology & Biochemistry 75, 273-281.
  18. Bassu, S, N Brisson, J-L Durand, K Boote, J Lizaso, JW Jones, C Rosenzweig, AC Ruane, M Adam, C Baron, B Basso, C Biernath, H Boogaard, S Conijn, M Corbeels, D Deryng, G DiSanctis, S Gayler, P Grassini, J Hatfield, S Hoek, C Izaurralde, R Jongschaap, AR Kemanian, CK Kersebaum, NS Kumar, D Makowski, C Müller, C Nendel, E Priesack, MV Pravia, S-H Kim, F Sau, I Shcherbak, F Tao, E Teixeira, D Timlin, K Waha. 2014. How do various maize crop models vary in their responses to climate change factors? Global Change Biology 20(7), 2301-2320.
  19. Schipanski, ME, M Barbercheck, MR Douglas, DM Finney, K Haider, JP Kaye, AR Kemanian, DA Mortensen, MR Ryan, J Tooker and C White. 2014. A framework for evaluating ecosystem services provided by cover crops in agroecosystems. Agricultural Systems 125, 12-22.
  20. Meki, MN, AR Kemanian, SR Potter, JM Blumenthal, JR Williams, and T Gerik. 2013. Cropping system effect on sorghum grain yield, soil organic carbon, and global warming potential in central and south Texas. Agricultural Systems 117, 19-29.
  21. Olson, SN, K Ritter, W Rooney, AR Kemanian , BA McCarl, Y Zhang, S Hall, and J Mullet. 2012. Energy Sorghum: A genetic model for C4 grass bioenergy crops. Biofuels, Bioproducts & Biorefining 6, 640-655.
  22. Stöckle, CO, S Higgins, AR Kemanian, RL Nelson, DR Huggins, JP Marcos, and H Collins, 2012. Carbon storage and nitrous oxide emissions of cropping systems in eastern Washington: A simulation study. J. of Soil and Water Conservation 67, 365-377.
  23. Kemanian, AR, S Julich, VS Manoranjan, and JR Arnold, 2011. Integrating carbon, nitrogen, and phosphorus cycling in the watershed model SWAT: theory and model testing. Ecological Modelling 222, 1913–1921.
  24. Kemanian, AR, and CO Stöckle. 2010. C-Farm: A simple model to estimate the carbon balance of soil profiles. Europ. J. Agron. 32:22-29.
  25. Wang, X, PW Gassman, JR Williams, S Potter, AR Kemanian. 2008. Modeling the impacts of soil management practices on runoff, sediment yield, maize productivity, and soil organic carbon using APEX. Soil & Tillage Research 101, 78-88.
  26. Kiniry, JR, JD MacDonald, AR Kemanian, B Watson, and G Putz. 2008. Plant growth simulation for landscape scale hydrologic modeling. Journal of Hydrological Sciences 53, 1030-1042.
  27. Kemanian, AR, CO Stöckle, DR Huggins, and LM Viega. 2007. A simple method to estimate harvest index in grain crops. Field Crops Research 103, 208-216.
  28. Page, ER, AR Kemanian, EP Fuerst, and RS Gallagher. 2007. Spatially variable patterns of wild oat emergence in eastern Washington. Crop Protection 26, 232-236.
  29. Kemanian, AR, CO Stöckle, and DR Huggins. 2007. Estimating grain and straw nitrogen concentration in grain crops based on aboveground nitrogen concentration and harvest index. Agron. J. 99, 158-167.
  30. Page, ER, RS Gallagher, AR Kemanian, and H Zhang. 2006. Modeling site-specific wild oats (Avena fatua) emergence across a variable landscape. Weed Science 54, 838-846.
  31. Manoranjan, VS, AR Kemanian, RL Orozco, and GS Campbell. 2006. Letter to the Editor: Re: Modeling latent and sensible heat transport in canopies. Agronomy Journal 98, 1664.
  32. Kemanian, AR, CO Stöckle, and DR Huggins. 2005. Barley transpiration-use efficiency. Agricultural and Forest Meteorology 130, 1-11.
  33. Kemanian, AR, CO Stöckle, and DR Huggins. 2004. Variability of barley radiation-use efficiency. Crop Science 44, 1162-1173.
  34. Scott, MJ, LW Vail, JA Jaksch, CO Stöckle, and AR Kemanian. 2004. Water exchanges: tools to beat El Niño climate variability in irrigated agriculture. J. American Water Resource Association (JAWRA) 40(1), 15-31.

Book Chapters

  • Wang, X, AR Kemanian, and J Williams. 2011. Special features of the EPIC and APEX modeling package and procedures for parameterization, calibration, validation, and applications. In Methods of Introducing System Models into Agricultural Research (LR Ahuja and L Ma Eds) Advances in Agricultural Systems Modeling 2, 177-208.
  • Miguez, FM, M Dietze, and AR Kemanian. 2011. Modeling tools and strategies for developing sustainable feedstock supplies. In Sustainable Feedstocks for Advanced Biofuels (D Johnson, R Braun and D Karlen Eds). Soil and Water Conservation Society Proceeding of the corresponding workshop. Ch. 19, 319-338.
  • Stöckle, CO and AR Kemanian, 2009. Crop radiation capture and use efficiency: A framework for crop growth analysis. In Crop Physiology (V Sadras and D Calderini Eds). Academic Press, Elsevier Inc, 145-170.
  • Kremer, C, CO Stöckle, AR Kemanian, and T Howell. 2008. A reference canopy transpiration and photosynthesis model for the evaluation of simple models of crop productivity. In Response of crops to limited water (LR Ahuja, VR Reddy, SA Saseendran, Q Yu Eds) Advances in Agricultural Systems Modeling 1, 165-190.
  • Stöckle, CO and AR Kemanian. 2008. On the use of radiation- and water-use efficiency for biomass production models. In Response of crops to limited water (LR Ahuja, VR Reddy, SA Saseendran, Q Yu Eds) Advances in Agricultural Systems Modeling 1, 39-58.