Investigation of SSM-Wheat Model to Forecast of Growth and Yield of Wheat in Response to Fertilizer Nitrogen in order to Decrease Pollution Environmental and Diseases

Investigation of SSM-Wheat Model to Forecast of Growth and Yield of Wheat in Response to Fertilizer Nitrogen in order to Decrease Pollution Environmental and Diseases

Journal

  • Journal title: International journal of Advanced Biological and Biomedical Research
  • ISSN: 2383-2762 (print)2322-4827 (online)
  • Publisher: CASRP Publishing Company
  • Country of publisher: iran, islamic republic of
  • Date added to EuroPub: 2017/May/15

Subject and more

  • LCC Subject Category: Biological Sciences, Biochemistry, Microbiology, Molecular Biology, Anatomy, Physiology,
  • Publisher's keywords: Anatomy, Biochemistry, Biological Sciences, Cell biology, Clinical Sciences, Comparative Physiology
  • Language of fulltext: english
  • Full-text formats available: PDF

AUTHORS

  • Akram Moeinirad | Department of Plant Physiology, Faculty of Agriculture, University of Gorgan, Gorgan, Iran
  • Ebrahim Zeinali | Department of Plant Physiology, Faculty of Agriculture, University of Gorgan, Gorgan, Iran
  • Afshin Soltani | Department of Plant Physiology, Faculty of Agriculture, University of Gorgan, Gorgan, Iran
  • Serollah Galeshi | Department of Plant Physiology, Faculty of Agriculture, University of Gorgan, Gorgan, Iran
  • Farhood Yeganehpoor | Department of Plant Eco-Physiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

EDITORIAL INFORMATION

FULL TEXT

ABSTRACT

Objective: Environmental and economic challenges resulting from the application of nitrogen fertilizers have increased Concerns about its productivity in the agricultural systems. Thus an experiment in order to investigate ability SSM-Wheat for simulation growth and yield of wheat (cultivar N-87-20) in response to fertilizer nitrogen in the direction decrease Pollution environmental and diseases were conducted. Methods: Simulation be done for 20 years’ time period from 1996 to 2016 with using daily weather data (minimum and maximum temperature, rainfall and radiation), experiment data and information of field soil. In order to test of model results be used from assessment indicators coefficient of determination (R), coefficient of variation (CV), root mean square error (RMSE). Results: On the basis of evaluation of results, model could grain yield, biological yield, leaf area index in pollination stage and harvest index forecasted well, as root mean square error (RMSE) between measured data and simulated data mentioned traits were 958.82, 2305.62, 1.12, 6.58 respectively. Observed and simulated data day to and day to physiological maturity were very similar too, and difference between observed and simulated data of phonological stages no significant was and RMSE day to pollination and day to physiological maturity were 3.72 and 4.89 respectively. SSM-Wheat model in elevation of mentioned traits for wheat cultivar N-87- 20 was prospered well and acceptable. So SSM-Wheat model can be used in the direction recovery nitrogen nutrition management of plants, Nitrogen nutrition with the aim access to maximum yield and decrease consumption of luxury nitrogen fertilizer in wheat in order to reduce pollution of environmental and disease.

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