Adapting and evaluating APSIM-SoilP-Wheat model for response to phosphorus under rainfed conditions of Pakistan

References

• Aggarwal, P. K., B. Banerjee, M. G. Daryaei, A. Bhatia, A. Bala, S. Rani, S. Chander, H. Pathak, and N. Kalra. 2006. InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model. Agricultural Systems 89 (1):47–67. https://doi.org/10.1016/j.agsy.2005.08.003.
   Web of Science ®Google Scholar
• Ahmad, N., and M. Rashid. 2004. Fertilizer and their use in Pakistan. Islamabad, Pakistan: Government of Pakistan, Planning and Development Division, NFDC.
   Google Scholar
• Ahmad, S., M. Nadeem, G. Abbas, Z. Fatima, R. J. Zeb Khan, M. Ahmed, A. Ahmad, G. Rasul, and M. Azam Khan. 2016. Quantification of the effects of climate warming and crop management on sugarcane phenology. Climate Research 71 (1):47–61.
   Web of Science ®Google Scholar
• Ahmed, M., M. A. Aslam, F. U. Hassan, M. Asif, and R. Hayat. 2014. Use of APSIM to model nitrogen use efficiency of rain-fed wheat. International Journal of Agricultural Biology 16:461–70.
   Web of Science ®Google Scholar
• Ahmed, M., M. N. Akram, M. Asim, M. Aslam, F. U. Hassan, S. Higgins, C. O. Stöckle, and G. Hoogenboom. 2016. Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application. Computers and Electronics in Agriculture 123:384–401.
   Web of Science ®Google Scholar
• Alam, S. M., S. A. Shah, and M. Akhtar. 2003. Varietal differences in wheat yield and phosphorus use efficiency as influenced by method of phosphorus application. Songklanakarin Journal of Science and Technology 25:175–81.
   Google Scholar
• Andarzian, B., M. Bannayan, P. Steduto, H. Mazraeh, M. E. Barati, M. A. Barati, and A. Rahnama. 2011. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100 (1):1–8. doi:10.1016/j.agwat.2011.08.023
   Web of Science ®Google Scholar
• Anderson, J. M., and J. S. I. Ingram. 1993. Tropical soil biology and fertility – A handbook methods. 2nd ed. Wallingford, UK: CAB International.
   Google Scholar
• Asseng, S., D. Cammarano, B. Basso, U. Chung, P. D. Alderman, K. Sonder, M. Reynolds, and D. B. Lobell. 2016. Hot spots of wheat yield decline with rising temperatures. Global Change Biology 23 (6):2464–72. doi:10.1111/gcb.13530
   PubMed Web of Science ®Google Scholar
• Balwinder, S., E. Humphreys, D. S. Gaydon, and P. L. Eberbach. 2016. Evaluation of the effects of mulch on optimum sowing date and irrigation management of zero till wheat in Central Punjab, India using APSIM. Field Crops Research 197:83–96.
   PubMed Web of Science ®Google Scholar
• Barlow, K. M., B. P. Christy, G. J. O’Leary, P. A. Riffkin, and J. G. Nuttall. 2015. Simulating the impact of extreme heat and frost events on wheat crop production: A review. Field Crops Research 171:109–19.
   Web of Science ®Google Scholar
• Basso, B., L. Liu, and J. T. Ritchie. 2016. A comprehensive review of the CERES-wheat, -maize and -rice models’ performances. Advances in Agronomy 136:27–132.
   Web of Science ®Google Scholar
• Bird, D. N., S. Benabdallah, N. Gouda, F. Hummel, J. Koeberl, I. La Jeunesse, S. Meyer, F. Prettenthaler, A. Soddu, and S. Woess-Gallasch. 2016. Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk. Science of the Total Environment 543 (B):1019–27.
   PubMed Web of Science ®Google Scholar
• Cammarano, D., R. P. Rötter, S. Asseng, F. Ewert, D. Wallach, P. Martre, J. L. Hatfield, J. W. Jones, C. Rosenzweig, A. C. Ruane, et al. 2016. Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research 198:80–92.
   Web of Science ®Google Scholar
• FAO. 2002. The role of women in the conservation of the genetic resources of maize: Guatemala. Rome: Food and Agriculture Organization of the United Nations (FAO) & International Plant Genetic Resources Institute (IPGRI).
   Google Scholar
• Chapin, F. S. 1987. Adaptations and physiological responses of wild plants to nutrient stress. In Genetic aspects of plant mineral nutrition, ed. H. W. Gabelman and B. C. Loughman, 15–25. Dordrecht: MartinusNijh off publishers.
   Google Scholar
• Chen, W., R. Bell, B. Bowden, R. Brennan, A. Diggle, and R. Lunt. 2008. Precision placement increases crop phosphorus uptake under variable rainfall: Simulation studies. Western Australia: Agribusiness Crop Updates.
   Google Scholar
• Chen, C., E. Wang, and Q. Yu. 2010. Modeling wheat and maize productivity as affected by climate variation and irrigation supply in North China plain. Agronomy Journal 102 (3):1037–49.
   Web of Science ®Google Scholar
• Cooke, G. W. 1987. Maximum fertilizer efficiency by overcoming constraints. Journal of Plant Nutrition 10 (9):1357–69.
   Web of Science ®Google Scholar
• Delve, R. J., M. E. Probert, J. G. Cobo, J. Ricaurte, M. Rivera, E. Barrios, and I. M. Rao. 2009. Simulating phosphorus responses in annual crops using APSIM: Model evaluation on contrasting soil types. Nutrient Cycling in Agroecosystems 84 (3):293–306.
   Web of Science ®Google Scholar
• Dewal, G. S., and R. G. Pareek. 2004. Effect of phosphorus, sulphur and zinc on growth, yield and nutrient uptake of wheat Triticum aestivum. Indian Journal of Agronomy 49 (3):160–2.
   Web of Science ®Google Scholar
• Eyshi Rezaei, E.,. H. Webber, T. Gaiser, J. Naab, and F. Ewert. 2015. Heat stress in cereals: Mechanisms and modelling. European Journal of Agronomy 64:98–113.
   Web of Science ®Google Scholar
• Gabaldón-Leal, C., H. Webber, M. E. Otegui, G. A. Slafer, R. A. Ordóñez, T. Gaiser, I. J. Lorite, M. Ruiz-Ramos, and F. Ewert. 2016. Modelling the impact of heat stress on maize yield formation. Field Crops Research 198:226–37.
   Web of Science ®Google Scholar
• Gaydon, D. S., S. Balwinder, E. Wang, P. L. Poulton, B. Ahmad, F. Ahmed, S. Akhter, I. Ali, R. Amarasingha, A. K. Chaki, et al. 2017. Evaluation of the APSIM model in cropping systems of Asia. Field Crops Research 204:52–75.
   Web of Science ®Google Scholar
• Godwin, D. C., and U. Singh. 1998. Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems. In Understanding Options for Agricultural Production, ed. by G. Tsuji, G. Hoogenboom and P. Thornton, 7, 55–77: Springer Netherlands.
   Google Scholar
• Hochman, Z., H. Horan, D. R. Reddy, G. Sreenivas, C. Tallapragada, R. Adusumilli, D. S. Gaydon, A. Laing, P. Kokic, K. K. Singh, and C. H. Roth. 2017. Smallholder farmers managing climate risk in India: 2. Is it climate-smart? Agricultural Systems 151:61–72.
   Web of Science ®Google Scholar
• Holzworth, D. P., N. I. Huth, P. G. deVoil, E. J. Zurcher, N. I. Herrmann, G. McLean, K. Chenu, E. van Oosterom, V. Snow, C. Murphy, et al. 2014a. APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling and Software 62:327–50.
   Web of Science ®Google Scholar
• Holzworth, D. P., V. Snow, S. Janssen, I. N. Athanasiadis, M. Donatelli, G. Hoogenboom, J. W. White, and P. Thorburn. 2014b. Agricultural production systems modelling and software: Current status and future prospects. Environmental Modelling Software 72:276–86.
   Web of Science ®Google Scholar
• Ijaz, W., M. Ahmed, M. A. Fayyaz-Ul-Hassan, and M. Aslam. 2017. Models to study phosphorus dynamics under changing climate. In Quantification of climate variability, adaptation and mitigation for agricultural sustainability, ed. M. Ahmed and O. C. Stockle, 371–86. Cham: Springer International Publishing.
   Google Scholar
• Keating, B. A., P. S. Carberry, G. L. Hammer, M. E. Probert, M. J. Robertson, D. Holzworth, N. I. Huth, J. N. G. Hargreaves, H. Meinke, Z. Hochman, et al. 2003. An over view of APSIM: A model designed for farming systems simulation. European Journal of Agronomy 18 (3–4):267–88.
   Web of Science ®Google Scholar
• Korsaeth, A., T. M. Henriksen, and L. R. Bakken. 2002. Temporal changes in mineralization and immobilization of N during degradation of plant material. Implications for the plant N supply and nitrogen losses. Soil Biology and Biochemistry 34 (6):789–99.
   Web of Science ®Google Scholar
• Liang, H., K. Hu, W. Qin, Q. Zuo, and Y. Zhang. 2017. Modelling the effect of mulching on soil heat transfer, water movement and crop growth for ground cover rice production system. Field Crops Research 201:97–107.
   Web of Science ®Google Scholar
• Liu, B., L. Liu, S. Asseng, X. Zou, J. Li, W. Cao, and Y. Zhu. 2016. Modelling the effects of heat stress on post-heading durations in wheat: A comparison of temperature response routines. Agriculture and Forest Meteorology 222:45–58.
   Web of Science ®Google Scholar
• MacCarthy, D. S., R. Sommer, and P. L. G. Vlek. 2009. Modeling the impacts of contrasting nutrient and residue management practices on grain yield of sorghum (Sorghum bicolor (L.) moench) in a semi-arid region of Ghana using APSIM. Field Crops Research 113 (2):105–15.
   Web of Science ®Google Scholar
• Maiorano, A., P. Martre, S. Asseng, F. Ewert, C. Müller, R. P. Rötter, A. C. Ruane, M. A. Semenov, D. Wallach, E. Wang, et al. 2017. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research 202:5–20.
   Web of Science ®Google Scholar
• Malik, M. A., M. Irfan, Z. I. Ahmed, and F. Zahoor. 2006. Residual effect of summer grain legumes on yield and yield components of wheat (Triticum aestivum L.). Pakistan Journal of Agriculture Agricultural Engineering and Veterinary Sciences 22 (1):9–11.
   Google Scholar
• Mann, R. A., W. A. Jehangir, and I. Masih. 2004. Improving crop and water productivity of rice-wheat system in Punjab, Pakistan. In: Proceedings of the 4th International Crop Science Congress. Brisbane, Australia.
   Google Scholar
• Martre, P., X. Yin, and F. Ewert. 2017. Modeling crops from genotype to phenotype in a changing climate. Field Crops Research 202:1–4.
   Web of Science ®Google Scholar
• McCown, R. L., G. L. Hammer, J. N. G. Hargreaves, D. P. Holzworth, and D. M. Freebairn. 1996. APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems 50 (3):255–271. doi:10.1016/0308-521X(94)00055-V
   Web of Science ®Google Scholar
• Meinke, H.. 1996. Improving wheat simulation capabilities in Australia from a cropping systems perspective. Meinke, [S.l.]. ISBN: 90-5485-511-8
   Google Scholar
• Nevens, F., and D. Reheul. 2003. The application of vegetable, fruit and garden waste (VFG) compost in addition to cattle slurry in a silage maize monoculture: nitrogen availability and use. European Journal of Agronomy 19:189–203.
   Web of Science ®Google Scholar
• Nkebiwe, P. M., M. Weinmann, A. Bar-Tal, and T. Müller. 2016. Fertilizer placement to improve crop nutrient acquisition and yield: A review and Meta-analysis. Field Crops Research 196:389–401.
   Web of Science ®Google Scholar
• Nuttall, J. G., G. J. O’Leary, J. F. Panozzo, C. K. Walker, K. M. Barlow, and G. J. Fitzgerald. 2017. Models of grain quality in wheat – A review. Field Crops Research 202:136–45.
   Web of Science ®Google Scholar
• Otto, W. M., and W. H. Kilian. 2001. Response of soil phosphorus content, growth and yield of wheat to long-term phosphorus fertilization in conventional cropping system. Nutrient Cycling in AgroEcosystems 61:283–92.
   Web of Science ®Google Scholar
• Probert, M. E. 2004. A capability in APSIM to model P responses in crops. In Modelling nutrient management in tropical cropping systems, ed. R. J. Delve and M. E. Probert, 92–100. Queensland, Australia: CSIRO Sustainable Ecosystems.
   Google Scholar
• Rehim, A., M. Hussain, S. Hussain, S. Noreen, H. Doğan, M. Zia-Ul-Haq, and S. Ahmad. 2016. Band application of phosphorus with farm manure improves phosphorus use efficiency, productivity and net returns of wheat on sandy clay loam soil. Turkish Journal of Agriculture and Forestry 40:319–26.
   Web of Science ®Google Scholar
• Rehim, A., M. Hussain, M. Abid, M. Zia-Ul-Haq, and S. Ahmad. 2012. Phosphorus use efficiency of Triticum aestivum L. as affected by band placement of phosphorus and farmyard manure on calcareous soils. Pakistan Journal of Botany 44 (4):1391–8.
   Web of Science ®Google Scholar
• Reckling, M., J.-M. Hecker, G. Bergkvist, C. A. Watson, P. Zander, N. Schläfke, F. L. Stoddard, V. Eory, C. F. E. Topp, J. Maire, et al. 2016. A cropping system assessment framework—Evaluating effects of introducing legumes into crop rotations. European Journal of Agronomy 76:186–97.
   Web of Science ®Google Scholar
• Schroder, J. J., A. L. Smit, D. Cordell, and A. Rosemarin. 2011. Improved phosphorus use efficiency in agriculture: A key requirement for its sustainable use. Chemosphere 84 (6):822–31.
   PubMed Web of Science ®Google Scholar
• Shah, P., K. M. Kakar, and K. Zada. 2001. Phosphorus use-efficiency of soybean as affected by phosphorus application and inoculation. In Plant nutrition: Food security and sustainability of agro-ecosystems through basic and applied research, ed. by W. J. Horst, M. K. Schenk, A. Bürkert, N. Claassen, H. Flessa, W. B. Frommer, H. Goldbach, H. W. Olfs, V. Römheld, B. Sattelmacher et al., 670–1. Dordrecht, The Netherlands: Springer.
   Google Scholar
• Somayeh, A. S., and M. Bahram. 2011. Effect of phosphorus fertilization and seed biofertilization on harvest index and phosphorus use efficiency of wheat cultivars. Journal of Food, Agriculture and Environment 9 (2):388–91.
   Google Scholar
• Tunio, S. D., M. N. Korejo, A. D. Jarwar, and M. R. Waggan. 2006. Studies on indigenous and exotic weed competition in wheat. Pakistan Journal of Agriculture and Biology 5 (4):1–8.
   Google Scholar
• Uptmoor, R., K. Pillen, and C. Matschegewski. 2017. Combining genome-wide prediction and a phenology model to simulate heading date in spring barley. Field Crops Research 202:84–93.
   Web of Science ®Google Scholar
• Wang, E., M. J. Robertson, G. L. Hammer, P. S. Carberry, D. Holzworth, H. Meinke, S. C. Chapman, J. N. G. Hargreaves, N. I. Huth, and G. McLean. 2002. Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy 18 (1–2):121–40.
   Web of Science ®Google Scholar
• Wang, E., M. Bell, Z. Luo, P. Moody, and M. E. Probert. 2014. Modelling crop response to phosphorus inputs and phosphorus use efficiency in a crop rotation. Field Crops Research 155:120–32.
   Web of Science ®Google Scholar
• Webber, H., P. Martre, S. Asseng, B. Kimball, J. White, M. Ottman, G. W. Wall, G. De Sanctis, J. Doltra, R. Grant, et al. 2017. Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison. Field Crops Research 202:21–35.
   Web of Science ®Google Scholar
• Welsh, C., M. Tenuta, D. N. Flaten, J. R. Thiessen-Martens, and M. H. Entz. 2009. High yielding organic crop management decreases plant – Available but not recalcitrant soil phosphorus. Agronomy Journal 101 (5):1027–35.
   Web of Science ®Google Scholar
• Yang, X., Z. Tian, L. Sun, B. Chen, F. N. Tubiello, and Y. Xu. 2017. The impacts of increased heat stress events on wheat yield under climate change in China. Climatic Change 140 (3):605–620. doi:10.1007/s10584-016-1866-z
   Web of Science ®Google Scholar
• Zahir, Z. A., A. Afzal, M. Ajmal, M. Naveed, H. N. Asgharand, and M. Arshad. 2007. Nitrogen enrichment of composted organic wastes for improving growth, yield and nitrogen uptake of wheat. Soil and Environment 26 (1):15–21.
   Google Scholar
• Zheng, B., K. Chenu, A. Doherty, T. Doherty, and L. Chapman. 2014. The APSIM-Wheat Module (7.5 R3008). Toowoomba, Australia: APSRU.
   Google Scholar