Skip to main content Accessibility help
×
Home

Modelling durum wheat (Triticum turgidum L. var. durum) grain protein concentration

  • F. ORLANDO (a1), M. MANCINI (a2), R. MOTHA (a3), J.J. QU (a3), S. ORLANDINI (a2) and A. DALLA MARTA (a4)...

Summary

The goal of the present study was to improve the CERES-wheat model simulation of grain protein concentration (GPC) for winter durum wheat and to use the model as a basis for the development of a GPC Simplified Forecasting Index (SFIpro). The performances of CERES-wheat, which is one of the most widespread crop simulation models, with (i) its standard GPC routine and (ii) a novel equation developed to improve the model GPC simulation for durum wheat, were assessed through comparison with field data. Subsequently, CERES-wheat was run for a 56-year period in order to identify the most important status and forcing variables affecting GPC simulation. The number of dry days during the early growth stages and the leaf area index (LAI; green leaf area per unit ground surface area) at heading stage (LAI5) were identified as the main variables positively correlated with CERES-wheat predicted GPC, and so included in the SFIpro. At validation against observed data SFIpro was found to perform differently on the basis of observed plant LAI. In fact, SFIpro was able to forecast GPC variability for intermediate values of LAI5 ranging from 1 to 2, while it totally failed when LAI5 was outside this range (LAI5 < 1 or LAI5 > 2). The results suggest that the relationship between LAI and GPC is not linear and that the model assumptions for GPC simulation in CERES-wheat are only partially confirmed, being valid for an intermediate range of LAI.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Modelling durum wheat (Triticum turgidum L. var. durum) grain protein concentration
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Modelling durum wheat (Triticum turgidum L. var. durum) grain protein concentration
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Modelling durum wheat (Triticum turgidum L. var. durum) grain protein concentration
      Available formats
      ×

Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

*To whom all correspondence should be addressed. Email: anna.dallamarta@unifi.it

References

Hide All
Asseng, S., Bar-Tal, A., Bowden, J. W., Keating, B. A., Van Herwaarden, A., Palta, J. A., Huth, N. I. & Probert, M. E. (2002). Simulation of grain protein content with APSIM-N wheat. European Journal of Agronomy 16, 2542.
Basso, B., Liu, L. & Ritchie, J. T. (2016). A comprehensive review of the ceres-wheat, -maize and -rice models’ performances. Advances in Agronomy 136, 27132.
Bly, A. G. & Woodard, H. J. (2003). Foliar nitrogen application timing influence on grain yield and protein concentration of hard red winter and spring wheat. Agronomy Journal 95, 335338.
Bonfil, D. J., Karnieli, A., Raz, M., Mufradi, I., Asido, S., Egozi, H., Hoffman, A. & Schmilovitch, Z. (2004). Decision support system for improving wheat grain quality in the Mediterranean area of Israel. Field Crops Research 89, 153163.
Borghi, B., Corbellini, M., Minoia, C., Palumbo, M., Di Fonzo, N. & Perenzin, M. (1997). Effects of Mediterranean climate on wheat bread-making quality. European Journal of Agronomy 6, 145154.
Cossani, C. M., Slafer, G. A. & Savin, R. (2011). Do barley and wheat (bread and durum) differ in grain weight stability through seasons and water-nitrogen treatments in a Mediterranean location? Field Crops Research 121, 240247.
Cubadda, R. E., Carcea, M., Marconi, E. & Trivisonno, M. C. (2007). Influence of gluten proteins and drying temperature on the cooking quality of durum wheat pasta. Cereal Chemistry 84, 4855.
Dalla Marta, A., Orlando, F., Mancini, M., Guasconi, F., Motha, R., Qu, J. & Orlandini, S. (2015). A simplified index for an early estimation of durum wheat yield in Tuscany (Central Italy). Field Crops Research 170, 16.
Dalling, M. J. (1985). The physiological basis of nitrogen redistribution during grain filling in cereals. In Exploitation of Physiological and Genetic Variability to Enhance Crop Productivity (Eds Harper, J. E., Schrader, L. E. & Howell, R. W.), pp. 5571. Rockville, MD: American Society of Plant Physiologists.
Dexter, J. E. & Matsuo, R. R. (1977). Influence of protein content on some durum wheat quality parameters. Canadian Journal of Plant Science 57, 717727.
Fischer, R. A., Aguilar, I. & Laing, D. R. (1977). Post-anthesis sink size in a high yielding, dwarf wheat: yield response to grain number. Australian Journal of Agricultural Research 28, 165175.
Fox, D. G. (1981). Judging air quality model performance: a summary of the AMS Workshop on dispersion model performance. Bulletin of the American Meteorological Society 62, 599609.
Freeman, K. W., Raun, W. R., Johnson, G. V., Mullen, R. W., Stone, M. L. & Solie, J. B. (2003). Late-season prediction of wheat grain yield and grain protein. Communications in Soil Science and Plant Analysis 34, 18371852.
Garrido-Lestache, E., López-Bellido, R. J. & López-Bellido, L. (2005). Durum wheat quality under Mediterranean conditions as affected by N rate, timing and splitting, N form and S fertilization. European Journal of Agronomy 23, 265278.
Jenner, C. F., Ugalde, T. D. & Aspinall, D. (1991). The physiology of starch and protein deposition in the endosperm of wheat. Australian Journal of Plant Physiology 18, 211226.
Jones, C. A., Kiniry, J. K. (1986). CERES-Maize: A Simulation Model of Maize Growth and Development. College Station, TX: Texas A&M University Press.
Jørgensen, S. E., Kamp-Nielsen, L., Christensen, T., Windolf-Nielsen, J. & Westergaard, B. (1986). Validation of a prognosis based upon an eutrophication model. Ecological Modelling 35, 165182.
van Keulen, H. & Seligman, N. G. (1987). Simulation of Water Use, Nitrogen Nutrition and Growth of a Spring Wheat Crop (Simulation monographs) . Wageningen, The Netherlands: Pudoc.
Lancashire, P. D., Bleiholder, H., Langeluddecke, P., Stauss, R., van den Boom, T., Weber, E. & Witzen-Berger, A. (1991). A uniform decimal code for growth stages of crops and weeds. Annals of Applied Biology 119, 561601.
Li, Y. X., Zhu, Y., Tian, Y. C., You, X. T., Zhou, D. Q. & Cao, W. X. (2005). Relationship of grain protein content and relevant quality traits to canopy reflectance spectra in wheat. Scientia Agricultura Sinica 38, 13321338.
Liu, L., Wang, J., Bao, Y., Huang, W., Ma, Z. & Zhao, C. (2006). Predicting winter wheat condition, grain yield and protein content using multi-temporal EnviSat-ASAR and Landsat TM satellite images. International Journal of Remote Sensing 27, 737753.
Loague, K. & Green, R. E. (1991). Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology 7, 5173.
Ludwig, F. & Asseng, S. (2006). Climate change impacts on wheat production in a Mediterranean environment in Western Australia. Agricultural Systems 90, 159179.
Meinke, H., Rabbinge, R., Hammer, G. L., Van Keulen, H. & Jamieson, P. D. (1998). Improving wheat simulation capabilities in Australia from a cropping systems perspective. II. Testing simulation capabilities of wheat growth. European Journal of Agronomy 8, 8399.
Nash, J. E. & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I – A discussion of principles. Journal of Hydrology 10, 282290.
Nuttal, J. G., O'Leary, G. J., Panozzo, J. F., Walker, C. K., Barlow, K. M. & Fitzgerald, G. J. (2015). Models of grain quality in wheat – A review. Field Crops Research (in press). http://dx.doi.org/10.1016/j.fcr.2015.12.011.
Orlandini, S., Mancini, M., Grifoni, D., Orlando, F., Dalla Marta, A. & Capecchi, V. (2011). Integration of meteo-climatic and remote sensing information for the analysis of durum wheat quality in Val d'Orcia (Tuscany, Italy). IDŐJÁRÁS: Quarterly Journal of the Hungarian Meteorological Service 115, 233245.
Porter, J. R. (1993). AFRCWHEAT2: a model of the growth and development of wheat incorporating responses to water and nitrogen. European Journal of Agronomy 2, 6982.
Ritchie, J. T. & Otter, S. (1985). Description and performance of CERES-Wheat: a user-oriented wheat yield model. In ARS Wheat Yield Project, ARS-38, Natural Technology Information Service (Ed. Willis, W. O.), pp. 159175. Springfield, VA: USDA.
Smith, G. P. & Gooding, M. J. (1996). Relationships of wheat quality with climate and nitrogen application in regions of England (1974–1993). Annals of Applied Biology 129, 97108.
Smith, G. P. & Gooding, M. J. (1999). Models of wheat grain quality considering climate, cultivar and nitrogen effects. Agricultural and Forest Meteorology 94, 159170.
Soil Survey Staff (2014). Keys to Soil Taxonomy, 12th edn. Washington, D.C.: USDA-Natural Resources Conservation Service.
Spratt, E. D. (1979). Protein in wheat. Canada Agriculture 24, 713.
Strong, W. (1982). Effect of late application of nitrogen on the yield and protein content of wheat. Australian Journal of Experimental Agriculture and Animal Husbandry 22, 5461.
Troccoli, A., Borrelli, G. M., De Vita, P., Fares, C. & Di Fonzo, N. (2000). Mini review: durum wheat quality: a multidisciplinary concept. Journal of Cereal Science 32, 99113.
Wang, J., Huang, W., Zhao, C., Yang, M. & Wang, Z. (2003). The inversion of leaf biochemical components and grain quality indicators of winter wheat with spectral reflectance. Journal of Remote Sensing 7, 277284 (Chinese with English abstract).
Wang, Z. J., Wang, J. H., Liu, L. Y., Huang, W. J., Zhao, C. J. & Wang, C. Z. (2004). Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR). Field Crops Research 90, 311321.
Weiss, A. & Moreno-Sotomayer, A. (2006). Simulating grain mass and nitrogen concentration in wheat. European Journal of Agronomy 25, 129137.
Xue, L. H., Cao, W. X. & Yang, L. Z. (2007). Predicting grain yield and protein content in winter wheat at different N supply levels using canopy reflectance spectra. Pedosphere 17, 646653.
Zadoks, J. C., Chang, T. T. & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed Research 14, 415421.

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed