Investigating the Spatial Relationship of Black-grass (Alopecurus myosuroides Huds. ) with Soil Characteristics in Wheat Field Using Geostatistical Relationships

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Nasiri Dehsorkhi Abbas; Ghanbari Seyed Ahmad; Makarian Hassan; Asgharipour Mohammad Reza

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Journal Paper

Paper Information

Journal: Journal of Agricultural Science and Sustainable Production Year:2024 | Volume:34 | Issue:4 Page(s): 201-222

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Information Journal Paper

Title

Investigating the Spatial Relationship of Black-grass (Alopecurus myosuroides Huds. ) with Soil Characteristics in Wheat Field Using Geostatistical Relationships

Author(s)

Nasiri Dehsorkhi Abbas | Ghanbari Seyed Ahmad | Makarian Hassan | Asgharipour Mohammad Reza | Issue Writer Certificate

Keywords

Kriging

Patchy distribution

Range

Variogram

Weed map

Abstract

AbstractBackground and Objective: The aim of this research was to investigate the spatial relationship between physical and chemical properties of soil and wheat yield in the conditions of competition with weeds in Isfahan weather conditions. Materials and Methods: In the crop year 2019-2020, field experiment was conducted in the form of a grid system with a distance of 2 x 2 meters. At each grid point, soil characteristics, grain yield of wheat and weed density were measured. The spatial distribution of the obtained data was analyzed using the geostatistical technique. Results: The results showed that the grain yield has a strong spatial correlation with nitrogen, phosphorus, potassium, pH, and silt traits at the rates of 83.9, 78.3, 79.0, 80.1 and 81.7, respectively were in the Range of 2.3, 3.2, 3.2, 3.7 and 4.0 meters. The areas where the wheat yield was lower were often in accordance with the areas where the sand and EC content of the soil were the highest. Alopecurus myosuroides had a strong spatial correlation with nitrogen and clay of soil, and moderate spatial correlation with soil sand; while this weed was found in soils with low amount of phosphor, potassium, pH and silt. Spatial correspondence between weed density and reverse grain yield was 60.7% in the effect Range of 4.2 meters. Conclusion: The characteristics of the soil and the weed population in the field change from one place to another, and these variations can cause patchy and uneven distribution of yield in the field. Grain yield showed the highest spatial correlation with soil nitrogen.

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