Publications

  1. Zhang, Q., Dang, P., Chen, C., Feng, Y., Batchelor, W., Lamb, M. and Sanz-Saez, A. 2022. Tolerance to mid-season drought in peanut can be achieved by high water use efficiency or high efficient use of water. Crop Sci. Accepted Author Manuscript.  https://doi.org/10.1002/csc2.20806
  2. Guo, D., C. Chen, B. Zhou, D. Batchelor, X. Han, Z. Ding, M. Du, M. Zhao, M. Li and W. Ma. 2022. Drip fertigation with relatively low water and N input achieved higher grain yield of maize by improving pre- and post-silking dry matter accumulation. Sustainability 2022, 14, 7850. https://doi.org/10.3390/su14137850
  3. Li, C., X. Wang, Z. Guo, N. Huang, S. Hou, G. He, D. Batchelor, H.M. Kadambot, Z. Wang and D. Zhang. 2022. Optimizing nitrogen fertilizer inputs and plant populations for greener wheat production with high yields and high efficiency in dryland areas. Field Crops Research 276 (2022) 108374.
  4. Zhang, Di, D. Li, H. Li, H. Wang, J. Liu, H. Ju, D. Batchelor, R. Li, and Y. Li. 2022. Strategies to reduce crop water footprint in intensive wheat-maize rotations in North China Plain. Agronomy

2022, 12(2), 357; https://doi.org/10.3390/agronomy12020357

  1. Zhang, J., J. Li, S. Saeed, D. Batchelor, M. Alariqi, Q. Meng, F. Zhu, J. Zou, Z. Xu, H. Si, Q. Wang, X. Zhang, H. Zhu, S. Jin and D. Yuan. 2022. Identification and functional analysis of IncRNA by CRISPR/Cas9 during the cotton response to sap-sucking insect infestations. Frontiers in Plant Science, 23 February 2022| https://doi.org/10.3389/fpls.2022.784511
  2. Huo, W., X. Chai, D. Batchelor, A. Kafle and G. Feng. 2022. Arbuscular mycorrhizal fungi contributes to cotton plant phosphorus uptake in a high phosphorus soil. Journal of Integrative Agriculture. https://www.chinaagrisci.com/Jwk_zgnykxen/EN/abstract/abstract403694.shtml
  3. Liu, Z., Q. Bian, J. Bai, G. He, M. Chen, H. Zheng, H. Wang, J. Cong, H. Ying, Y. Yin, Q. Zhang, F. Zhang and D. Batchelor. 2022. Closing the yield gap can be achieved without groundwater extraction in Chinese wheat production. Global Food Security 33 (June 2022), 100630. https://doi.org/10.1016/j.gfs.2022.100630.
  4. Wang, C., M. Xu, Y. Wang, D. Batchelor, J. Zhang, J. Kuai, and L. Ling. 2022. Long-term optimum management of rapeseed cultivation simulated with the CROPGRO-Canola model. Agronomy 2022, 12, 1191. https://doi.org/10.3390/agronomy12051191
  5. Zhang, H., D. Batchelor, H. Liang, H. Han, J. Li and K. Hu. 2022. Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China. Ecological Modelling 470 (2022) 110019. https://doi.org/10.1016/j.ecolmodel.2022.110019
  6. Xu, M., C. Wang, L. Ling, D. Batchelor, J. Zhang and J. Kuai. 2021. Sensitivity analysis of the CROPGRO-Canola model in China: A case study for rapeseed. PLOS One 16(1): e0259929. https://doi.org/10.1371/journal.pone.0259929.
  7. Li, D., S. Mo, D. Batchelor, R. Cheng, H. Wang and R. Li. 2021. Regulation of nitrogen topdressing and paclobutrazol at different stages on spike differentiation and yield of winter wheat. PeerJ 9:e12473 DOI 10.7717/peerj.12473.
  8. Liu, Z., X. Yang, R. Xie, X. Lin, T. Li, D. Batchelor, J. Zhao, Z. Zhang, S. Sun, F. Zhang, Q. Huang, Z. Su, K. Wang, B. Ming, P. Hou and S. Li. 2021. Prolongation of the grain filling period and change in radiation simultaneously increased maize yields in China. Agricultural and Forest Meteorology 308-309 (2021) 108573. https://doi.org/10.1016/j.agrformet.2021.108573
  9. Wang, X., Y. Miao, D. Batchelor, R. Dong and K. Kusnierek. 2021. Evaluating model-based strategies for in-season nitrogen management of maize using weather data fusion. 2021.

Agricultural and Forest Meteorology 308-309 (2021) 108564.

https://doi.org/10.1016/j.agrformet.2021.108564

  1. Gai, H., T. Yan, A. Zhang, D. Batchelor and Y. Tian. 2021. Exploring factors influencing farmers’ continuance intention to crop residue retention: Evidence from rural China. Environmental Research and Public Health 2021, 18, 7412. https://www.mdpi.com/16604601/18/14/7412
  2. Liu, Z., H. Ying, M. Chen, J. Bai, Y. Xue, Y. Yin, D. Batchelor, M. Du, Y. Guo, Q. Zhang, Z. Cui, F. Zhang and Z. Dou. 2021. Optimization of China’s maize and soy production can ensure feed sufficiency at lower nitrogen and carbon footprints. Nature Food 2021 (2):426-433. https://doi.org/10.1038/s43016-021-00300-1.
  3. Liu, Y., B. Cui, D. Batchelor and C. Zhang. 2021. Evaluation on the meteorological service for mitigating the severe impacts of typhoon Rammasun. Tropical Conversation Science 14:1-9. DOI:

10.1177/1940082921992660.

  1. Memic, E., S. Graeff-Honninger, O. Hensel and D. Batchelor. 2020. Extending the CSMCERES-Beet model to simulate impact of observed leaf disease damage on sugar beet yield. Agronomy 2020, 10, 1930; doi:10.3390/agronomy10121930.
  2. Cammarano, D., H. Zha, L. Wilson, Y. Li, D. Batchelor and Y. Miao. 2020. A remote sensingbased approach to management zone delineation in small scale farming systems. Agronomy 2020, 10, 1767; doi:10.3390/agronomy10111767.
  3. Li, D., D. Batchelor, D. Zhang, H. Miao, H. Li, S. Song and R. Li. 2020. Analysis of melatonin regulation of germination and antioxidant metabolism in different wheat cultivars under polyethylene glycol stress. PLoS ONE15(8):e0237536. https://doi.org/10.1371/journal.pone.0237536
  4. Liu, T. X., Yang, D. Batchelor, Z. Liu, Z. Zhang, N. Wan, S. Sun, B. He, J. Gao, F. Bai, F. Zhang and J. Zhao. 2020. A Case Study of climate-smart management of foxtail millet (Setaria italica) under future climate change in Lishu county of Jilin, China. Agricultural and Forest Meteorology 292-293 (2020) 108131.
  5. Hu, K., H. Liang, H. Lv, D. Batchelor, X. Lian, Z. Wang, and S. Lin. 2020. Simulating DON leaching and optimizing water and N management practices for greenhouse vegetable production systems. Agricultural Water Management 241 (2020) 106377.
  6. Batchelor, W.D., L.M. Suresh, X. Zhen, Y. Beyene, M. Wilson, G. Kruseman and B. Prasanna.
  7. Simulation of maize lethal necrosis (MLN) damage using the CERES-Maize model. Agronomy 2020, 10, 710; doi:10.3390/agronomy10050710.
  8. Shi, Xinrui, D. Batchelor, H. Liang, S. Li, B. Li and K. Hu. 2020. Determining optimal water and nitrogen management under different initial residual soil mineral nitrogen levels in northwest China based on a model approach. Agricultural Water Management 234(2020): 106110.
  9. Yang, W., H. Feng, X. Zhang, J. Zhang, J. Doonan, U. Schurr, D. Batchelor, L. Xiong and J. Yang. 2020. Crop phenomics and high-throughput phenotyping: past decades, future and challenges. Molecular Plant 13, 187-214, February 2020.
  10. Shi, Xinrui, K. Hu, D. Batchelor, H. Liang, Y. Wu, Q. Wang, J. Fu, X. Cui and F. Zhou. 2020. Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River. Agricultural Water Management 228(2020):105877.
  11. Liu, Z., Y. Yin, J. Pan, Y. Hao, D. Lu, D. Batchelor, W. Ma, Z. Cui. 2019. Yield gap analysis of county level irrigated wheat production in Hebei Province, China. Agronomy 111(5):2245-2254.
  12. Zha, H., D. Cammarano, L. Wilson, Y. Li, D. Batchelor and Y. Miao. 2019. Combining crop modelling and remote sensing to create yield maps for management zone delineation in small scale farming systems. In Stafford, J.V. (Ed), Precision Agriculture 19:883-889, Wageningen Academic Publishers, The Netherlands. pp 883-890 DOI: 10.3920/978-90-8686-888-9
  13. Memic, E., S. Graeff, D. Batchelor. 2019. Extending the CERES-Beet model to simulate leaf disease in sugar beet. In: 12th European Conference on Precision Agriculture (edited by: John V. Stafford), pp 977-983. Montpellier, France (DOI: 10.3920/978-90-8686-888-9_120).
  14. Zhang, D., H. Wang, D. Li, H. Li, H. Ju, R. Li, D. Batchelor and Y. Li. 2019. DSSAT-CERESWHEAT model to optimize plant density and nitrogen best management practices. Agroecosystems 114(1):19-32.
  15. Roll, G., D. Batchelor, A. Castro, M. Simon, and S. Graeff. 2019. Development and evaluation of a leaf disease damage extension in CSM-CERES Wheat. Agronomy 9(3):120; https://doi.org/10.3390/agronomy9030120.
  16. Liang, H., K. Hu, W.D. Batchelor, Q. Chen, B. Liang and B. Li. 2019. Modeling dissolved organic nitrogen leaching under different N management practices for the intensive greenhouse production using the improved WHCNS_veg model. Geoderma 337(2019):1039-1050.
  17. Anar, M.J., Z. Lin, G. Hoogenboom, V. Sheila, D. Batchelor, J. Teboh, M. Ostlie, B. Schatz and M. Khan. 2019. Modeling growth, development and yield of sugarbeet using DSSAT. Agricultural Systems 169:58-70.  
  18. Zhang, J., Y. Miao and D. Batchelor. 2018. Estimation of optimum nitrogen rates for cool season rice in Northeastern China using the CERES-Rice model. Agronomy 8(11):263; doi:10.3390/agronomy8110263.
  19. Xu, R., H. Tian, S. Pan, S. Prior, Y. Feng, D. Batchelor, J. Chen, and J. Yang. 2018. Global ammonia emissions from synthetic nitrogen fertilizer applications in agricultural systems:

empirical and process-based estimates and uncertainty. Global Change Biology https://doi.org/10.1111/gcb.14499. 

  1. Memic, E., S. Graeff, W. Claupein and D. Batchelor. 2018. GIS-Based spatial nitrogen management model for maize – short and long term marginal net return maximizing nitrogen application rates. Precision Agriculture. 20(2),295-312. https://doi.org/10.1007/s11119-0189603-4.
  2. Zhen, X., H. Shao, W. Zhang, W. Huo, D. Batchelor, P. Hou, E. Wang, G. Mi, Y. Miao, H. Li and F. Zhang. 2018. Testing a bell-shaped function for estimation of fully expanded leaf area in modern maize under potential production conditions. The Crop Journal (2018). https://doi.org/10.1016/j.cj.2018.03.008.
  3. Zhang, D., R. Li, D. Batchelor, J. Hui and Y. Li. 2018. Evaluation of limited irrigation strategies to improve water use efficiency and wheat yields in the North China Plain. PLOS ONE 13(1):e0189989.
  4. Liang, H., Hu, K., D. Batchelor, W. Qin and B. Li. 2018. Developing a water and nitrogen management model for greenhouse vegetable production in China: sensitivity analysis and validation. Ecological Modeling 36:24-33.
  5. Zhang, J., Y. Miao and D. Batchelor. 2017. Evaluation of the CERES-Rice model for precision nitrogen management for rice in northeast China. 2017. Advances in Animal Biosciences 8(2):328332.
  6. Memic, E., S. Graeff, W. Claupein and D. Batchelor. 2017. GIS-Based spatial nitrogen management model for maize. Advances in Animal Biosciences 8(2):312-316.
  7. Li, X.X., J. Hui, S. Garre, Y. Chang-rong, L. Qin, D. Batchelor and Q. Liu. 2017. Spatiotemporal variation of drought characteristics in the context of climate change in the Huang-Huai-Hai plain. China. Journal of Integrative Agriculture 16(0):60345-7.  DOI 10.1016/S2095-3119 (16) 61545-9.  
  8. Liang, H., K. Hu, D. Batchelor, Z. Qi and B. Li. 2016. An integrated soil-crop system model for water and nitrogen management in North China. Scientific Reports 6:25755 | DOI:

10.1038/srep25755.

 

  1. Kim, H., P.B. Parajuli, F. Yu, E. P. Columbus and D. Batchelor. 2013. Economic evaluation of syngas production: model development and analysis. Transactions of the American Society of Agricultural and Biological Engineers 55(3):1033-1045.

 

  1. Wei*, L., D. To, L. O. Pordesimo, and W. D. Batchelor. 2011. Evaluation of electricity microscale electricity generation cost using biomass-derived syngas through modeling. International Journal of Energy Research 35:989-1003.

 

  1. Yang*, P., E.P. Columbus, J. Wooten, D. Batchelor, P. R. Buchireddy, X. Ye and L. Wei. 2009. Evaluation of syngas storage under different pressures and temperatures. Applied Engineering in Agriculture 25(1):121-128.

 

  1. Igathinathane*, C., L.O. Pordesimo, E.P. Columbus, D. Batchelor., and S. Sokhansanj. 2009. Sieveless Particle Size Distribution of Particulate Materials through Computer Vision. Computers and Electronics in Agriculture 66(2):147-158.

 

  1. Wei*, L., L.O. Pordesimo, S.D. To, C.W. Herndon and D. Batchelor. 2009. Evaluation of microscale syngas production costs through modeling. Transactions of the American Society of Agricultural and Biological Engineering 52(5):1649-1659.

 

  1. Wei*, L., L.O. Pordesimo, C. Igathinathane, and D. Batchelor. 2009. Process engineering evaluation of ethanol production from wood through bioprocessing and chemical catalysis. Biomass and Bioenergy 33:255-266.

 

  1. Igathinathane*, C., L.O. Pordesimo and D. Batchelor. 2009. Major orthogonal dimensions measurement of food grains by machine vision using ImageJ. Food Research International 42(1): 76-84.

 

  1. Link*, E.J., S. Graeff, and D. Batchelor. 2008. Evaluation of current and model-based sitespecific nitrogen applications on wheat (Triticum aestivum L.) yield and environmental quality. Precision Agriculture:251-267.

 

  1. Thorp*, K.R., K.C. DeJonge, A. Kaleita, D. Batchelor and J.O. Paz. 2008. Methodology for the use of DSSAT models for precision agriculture decision support. Computers and Electronics in Agriculture 64(2):276-285.

 

  1. Igathinathane*, C., L.O. Pordesimo, E.P. Columbus, D. Batchelor and S.R. Methuku. 2008. Shape Identification and Particles Size Distribution from Basic Shape Parameters using ImageJ. Computers and Electronics in Agriculture 63(2):168-182.

 

  1. Thorp*, K.R., B.L. Steward, A.L. Kaleita, and D. Batchelor. 2008. Using aerial hyperspectral remote sensing imagery to estimate corn plant stand density. Transactions of the ASABE 51(1):311-320.

 

  1. Thorp*, K.R., D. Batchelor, J.O. Paz., Kaleita, A.L., and Dejonge, K.C. 2007. Using cross

validation approach to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture. Transaction of the ASABE 50(4):1467-1479

 

  1. Irmak, A., J.W. Jones, D. Batchelor, S. Irmak, K.J. Boote and J.O. Paz. 2006. Artificial neural network model as a data analysis tool in precision farming. Transactions of the ASABE 49(6):20272037.

 

  1. Link*, E.J., S. Graeff, S., D. Batchelor, and W. Claupein. 2006. Evaluating the economic and environmental impact of a German compensation payment policy under uniform and variable-rate nitrogen management strategies using a crop model. Agricultural Systems 91:135-153.

 

  1. Link*, E.J., S. Graeff, D. Batchelor, and W. Claupein. 2006. Spatial variability and temporal stability of corn (Zea mays L.) grain yields in the Upper Rhine Valley (Germany) – relevance of grid size. Archives of Agronomy and Soil Science 54(4):427-439.

 

  1. Zillmann*, E., S. Graeff, E.J. Link, D. Batchelor, and W. Claupein. 2006. Assessment of cereal N-requirements derived by optical on-the-go sensors on heterogeneous soils. Agronomy Journal 98:682-690.

 

  1. Irmak, A., J.W. Jones, D. Batchelor, S. Irmak, J.O. Paz and K. J. Boote. 2006. Analysis of spatial yield variability using a combined crop model-empirical approach. Transactions of the ASAE 49(3):811-818.

 

  1. Miao, Y. D.J. Mulla, D. Batchelor, J.O. Paz and P.C. Robert. 2006. Evaluating management zone optimal N rates with a crop growth model. Agronomy Journal 98(3):545-553.

 

  1. Thorp*, K.R., D. Batchelor, J.O. Paz, B.L. Steward and P.C. Caragea. 2006. Methodology to link production and environmental risks of precision nitrogen management strategies in corn. Agricultural Systems 89(2-3):272-298.

 

  1. Clay, S.A., J. Klienjan, D.E. Clay, F. Forcella and D. Batchelor. 2005. Growth and fecundity of several weed species in corn and soybeans. Agronomy Journal 97:294-302.

 

  1. Lizaso*, J.I., D. Batchelor, K.J. Boote and M.E. Westgate. 2005. Development of a leaf level canopy assimilation model for CERES-Maize. Agronomy Journal 97:722-733.

 

  1. Lizaso*, J.I., D. Batchelor, K.J. Boote and M.E. Westgate. 2005. Evaluating a leaf level canopy assimilation model linked to CERES-Maize. Agronomy Journal 97:734-740.

 

  1. Sudduth, K.A., N.R. Kitchen, W.J. Wiebold, D. Batchelor, G.A. Bollero, D.G. Bullock, D.E. Clay, H.L. Palm, F.J. Pierce, R.T. Schuler and K.D. Thelen. 2005. Relating ECa to soil properties across the North-Central USA. Computers and Electronics in Agriculture 46:263-283.

 

  1. Mize, C.W., M. Egeh*, and D. Batchelor. 2005. Predicting maize and soybean production in a sheltered field in the cornbelt region of north central USA. Agroforestry Systems 64(2):107-116.

 

  1. Seidl*, M.S., D. Batchelor, and J.O. Paz. 2004. Integrating remote images with crop models to improve spatial yield prediction for soybeans. Transactions of the ASAE 47(6):2081-2090.

 

  1. Paz*, J.O., D. Batchelor, P. Pedersen. 2004. WebGro: A web-based soybean management decision support system. Agronomy Journal 96:1771-1779.

 

  1. Paz*, J.O., D. Batchelor and J.W. Jones. 2003. Estimating potential economic return for variable rate soybean variety management. Transactions of the ASAE 46(4):1225-1234.

 

  1. D. Batchelor, J.O. Paz and J.W. Jones. 2003. Estimating Break-Even Cost to Move from Single to Multiple Soybean Variety Management Within a Field. (peer reviewed) Proceedings of the 4th European Conference on Precision Agriculture, pp 69-75, edited by J. Stafford and A. Werner. Wageningen Academic publishers.

 

  1. Lizaso*, J.I., D. Batchelor and M.E. Westgate. 2003. A leaf area model to simulate cultivarspecific expansion and senescence of maize leaves. Field Crops Research 80(1):1-17.

 

  1. Boote, K.J., J.W. Jones, D. Batchelor, E.D. Nafziger, O. Myers, and K. Boedhram. 2003. Genetic coefficients in crop models and links to field performance and genomics. Agronomy Journal 95(1):32-51.

 

  1. Lizaso*, J.I., D. Batchelor, M. E. Westgate and L. Echarte. 2003. Enhancing the ability of CERES-Maize to compute light capture. Agricultural Systems 76(1): 293-311

 

  1. Jones, J.W., G. Hoogenboom, C. Porter, K.J. Boote, D. Batchelor, L.A. Hunt, P. Wilkens, U. Singh, A. Gijsman, and J. T. Ritchie. 2003. DSSAT Cropping System Model. Special Edition of European Journal of Agronomy 18(2003):235-265 (invited paper)

 

  1. Westgate, M. E., J. I. Lizaso* and D. Batchelor. 2003. Quantitative relationships between pollen shed density and grain yield in maize (Zea mays L.). Crop Science 43(3):934-942.

 

  1. Lizaso*, J.I., M.E. Westgate, D. Batchelor and A. Fonseca. 2003. Predicting potential kernel set in maize from simple flowering characteristics. Crop Science 43(3):892-903.

 

  1. Fallick*, J.B., D. Batchelor, G. Tylka, T. Niblack and J.O. Paz. 2002. Coupling soybean cyst nematode damage to CROPGRO-Soybean. Transactions of the ASAE 45(2): 433-441.

 

  1. Sadler, E. J., E. M. Barnes, D. Batchelor, J. Paz, and A. Irmak. 2002. Addressing spatial and temporal variability in crop model applications.  In L. R. Ahuja, L. Ma and T. Howell (ed.) Agricultural System Models in Field Research and Technology Transfer.  Lewis Publishers, Inc., Boca Raton, FL. pp 253-263. (Peer Reviewed Chapter).

 

  1. Irmak, A., J.W. Jones, D. Batchelor and J. O. Paz. 2002. Linking Multiple Layers of Information for Diagnosing Causes of Spatial Yield Variability in Soybean. Transactions of the ASAE 45(3):839849.

 

  1. Irmak, D. Batchelor, J.W. Jones, S. Irmak, J.O. Paz and H. Beck. 2002. Relationship between plant available soil water and yield for explaining within-field soybean yield variability. Applied Engineering in Agriculture 18(4):471-482.

 

  1. Lizaso*, J.I., D. Batchelor and M.E. Westgate. 2002. Using the Normalized Difference Vegetation Index and a Crop Simulation Model to Predict Soil Spatial Variability. Transactions of the ASAE 45(4):1217–1222.

 

  1. Paz*, J.O., D. Batchelor and D. Bullock. 2002. Procedure to use a crop model to identify waterstressed areas in soybean fields using on-farm data. Applied Engineering in Agriculture 18(5): 643646.

 

  1. Batchelor, W.D., Basso and J.O. Paz. 2002. Examples of strategies to analyze spatial and temporal yield variability using crop models. Special Edition of European Journal of Agronomy Vol. 18 (1-2): 141-158 (invited paper).

 

  1. Qi, X., C.W. Mize, D. Batchelor, E.S. Takle, and I.V. Litvina. 2001. SBELTS: A model of soybean production under tree shelter. Agroforestry Systems 52:53-61.

 

  1. Steenhoek, L. M. Misra, D. Batchelor, and J. Davidson. 2001. Probabilistic neural networks for segmentation of features in corn kernel images. Applied Engineering in Agriculture 17(2):225-234.

 

  1. Bootlink, H.W.G., J.J. Stoorvogel, B.J. Van Alphen, R. Vargas, D. Batchelor and J.O. Paz. 2001. Tools for optimizing management of spatially-variable fields. Agricultural Systems 70(2-3):445-476.

 

  1. Lizaso*, J.I., D. Batchelor, and N. Boedhram. 2001. Alternate approach to improve kernel number calculation in CERES-Maize. Transactions of the ASAE 44(4):1011-1018.

 

  1. Irmak, A., J.W. Jones, D. Batchelor and J.O. Paz. 2001. Estimating spatially variable soil properties for application of crop models in precision agriculture. Transactions of the ASAE 44(5):1343-1353.

 

  1. Seidl*, M.S, D. Batchelor, J.B. Fallick and J.O. Paz. 2001. GIS-crop model based decision support system to evaluate corn and soybean prescriptions. Applied Engineering in Agriculture 17(5):80-87.

 

  1. Paz*, J.O., D. Batchelor, G.L. Tylka and R.G. Hartzler. 2001. A modeling approach to quantify the effects of spatial soybean yield limiting factors. Transactions of the ASAE 44(5): 1329-1334.

 

  1. Paz*, J.O., D. Batchelor and G.L. Tylka. 2001. Method to use crop growth models to estimate potential return for variable-rate management in soybeans. Transactions of the ASAE 44(5): 13351341.

 

  1. Boedhram*, N., T.J. Arkebauer, and D. Batchelor. 2001. Season-long Characterization of Vertical Distribution of Leaf Area in Corn. Agronomy Journal 93(6):1235-1242.

 

  1. Andales*, A.A., D. Batchelor, and C.E. Anderson. 2000. Modification of a soybean model to improve soil temperature and emergence date prediction. Transactions of the ASAE 43(1):121-129.

 

  1. Andales*, A.A., D. Batchelor, C.E. Anderson, D.E. Farnham, and D.K. Whigham. 2000.

Incorporating tillage effects into a soybean model. Agricultural Systems 66(2):69-98.

 

  1. Calmon, M.A., D. Batchelor, J.W. Jones, J.T. Ritchie, K.J. Boote, and L.C. Hammond. 1999. Simulating soybean root growth and soil water extraction using a functional crop growth model. Transactions of the ASAE 42(6): 1867-1877.

 

  1. Paz*, J.O., D. Batchelor, T.S. Colvin, S.D. Logsdon, T.C. Kaspar, D.L. Karlen, and B.A. Babcock. 1999. Model-based techniques to determine variable rate nitrogen for corn. Agricultural Systems 60(1999):69-75.

 

  1. Garrison*, M.V., D. Batchelor, R.S. Kanwar. J.T. Ritchie. 1999 Validation of the CERES-Maize water and nitrogen balances under tile drained conditions. Agricultural Systems (1999):189-200.

 

  1. Lefko, S.A., L.P. Pedigo, D. Batchelor, and M.E. Rice. 1998. Spatial model of wireworm habitat. Environmental Entomology 27(2):184-190.

 

  1. Lefko, S.A., L.P. Pedigo, M.E. Rice, and D. Batchelor. 1998. Wireworm incidence and diversity in Iowa conservation reserve environments. Environmental Entomology 27(2):312-317.

 

  1. Sexton*, P.J., D. Batchelor, K.J. Boote, R.M. Shibles. 1998. Evaluation of CROPGRO for prediction of soybean nitrogen balance in a midwestern environment. Transactions of the ASAE 41(5):1543-1548.

 

  1. Paz*, J.O., D. Batchelor, T.S. Colvin, S.D. Logsdon, T.C. Kaspar, and D.L. Karlen. 1998. Calibration of a crop growth model to predict spatial yield variability. Transactions of the ASAE 41(5): 1527-1534.

 

  1. Shen*, J., D. Batchelor, R. Kanwar, J.T. Ritchie, and J.W. Jones, 1998. Validation of the water balance model in CROPGRO-Soybean. Transactions of the ASAE 41(5):1305-1313.

 

  1. Batchelor, W.D., M.R. Zeiss, L.P. Pedigo, and R.M. Shibles. 1997. Development of a model to predict soybean pod color distribution. Transactions of the ASAE 40(1):221-227.

 

  1. Batchelor, W.D., X.B. Yang, and A.T. Tschanz. 1997. Development of a neural network for soybean rust epidemics. Transactions of the ASAE 40(1):247-252.

 

  1. Yang, X.B., and D. Batchelor. 1997. Modeling plant disease dynamics with neural networks. AI Applications 11(3):47-55.

 

  1. Sexton*, P.J., D. Batchelor, and R.M. Shibles. 1997. Effect of sulfur availability on rubisco content and photosynthetic rate of Kenwood soybean. Crop Science 37(6):1801-1806.

 

  1. Batchelor, W.D., K.J. Boote, and J.W. Jones. 1996. Quantifying pod detachment rate of Florunner peanut. Peanut Science 23(1996):23-30.

 

  1. Batchelor, W.D., J.W. Jones, and K.J. Boote. 1996. Comparison of methods to compute peanut seed size distribution by crop growth models. Transactions of the ASAE 39(2):737-744.

 

  1. Pinnschmidt, H.O., D. Batchelor, and P.S. Teng. 1995. Simulation of multiple species pest damage in rice using CERES-Rice. Agricultural Systems 48(1995):193-222.

 

  1. Batchelor, W.D., J.W. Jones, K.J. Boote, and G. Hoogenboom. 1994. Carbon-based model to predict peanut pod detachment.  Transactions of the ASAE 37(5):1639-1646.

 

  1. Batchelor, W.D., J.W. Jones, K.J. Boote, and H.O. Pinnschmidt. 1993. Extending the use of crop models to study pest damage. Transactions of the ASAE 36(2):551-558.

 

  1. Batchelor, W.D. and R.W. McClendon. 1992. A blackboard approach for resolving conflicting irrigation and insecticide scheduling recommendations. Transactions of the ASAE 35(2):741-747.

 

  1. Batchelor, W.D., R.W. McClendon, and M.E. Wetzstein. 1992. Knowledge engineering approaches in developing expert simulation systems. Computers and Electronics in Agriculture 7:97-107.

 

  1. Batchelor, W.D., M.E. Wetzstein, and R.W. McClendon. 1991. Economic theory and expert system information technologies in agriculture. European Review of Agricultural Economics 18:245-261.

 

  1. Batchelor, W.D., R.W. McClendon, D.B. Adams, and J.W. Jones. 1989. Evaluation of SMARTSOY: An expert simulation system for insect pest management. Agricultural Systems 31(1):67-81.

 

Batchelor, W.D., R.W. McClendon, J.W. Jones, and D.B. Adams. 1989. An expert simulation system for soybean insect pest management. Transactions of the ASAE 32(1) 335-342.