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Determination of within field spatial variability and its effect on potato yield
Authors: Humna Khan, Aitazaz Farooque, Travis Esau, Bishnu Acharya, Farhat Abbas, Qamar Zaman
Identifier: CSBE21523
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions
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Description: One of the global leaders in potato production, Canada accounts for 59% of all vegetable farm cash receipts. Currently, crop management practices are implemented uniformly without considering the substantial variation in soil and plant characteristics, topographic features and potato tuber yield. These variations emphasize the need for site-specific crop management based on spatial soil variability within the field. This study was designed to characterize and quantify the spatial patterns of variability in soil properties and potato tuber yield. Three fields were selected and a grid sampling strategy was developed at each experimental site to collect soil and crop yield samples. Sampling points and field boundaries in both fields were mapped using a real time kinematics global positioning system. Soil and sensor data were collected four times during growing season. Soil samples were analyzed for soil organic matter, pH, texture and electrical conductivity. The volumetric moisture content (?v) was recorded at each grid point with time domain reflectometry. Ground conductivity readings were also recorded with DualEM conductivity meter at selected sampling points. Soil and crop data were analyzed using classical statistics to quantify overall variability within fields. The semivariograms were produced for each soil property and crop yield to ascertain the degree of spatial variability between neighboring observations. The soil and crop data was mapped in Arc GIS 10.5 to display the spatial patterns of variability within selected fields. Characterization of spatial soil variability in potato fields can help in planning future soil sampling in new fields presenting soil and yield variability. Appropriate soil sampling can assist in recognizing yield-limiting soil properties and develop prescription maps for site specific nutrient management to improve unproductive areas and mitigate environmental pollution. The results will be presented in paper and poster.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Machinery and Robotic Systems 3
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Type: Text.Abstract
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Publication type: Presentation
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Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
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DOI:
Description: One of the global leaders in potato production, Canada accounts for 59% of all vegetable farm cash receipts. Currently, crop management practices are implemented uniformly without considering the substantial variation in soil and plant characteristics, topographic features and potato tuber yield. These variations emphasize the need for site-specific crop management based on spatial soil variability within the field. This study was designed to characterize and quantify the spatial patterns of variability in soil properties and potato tuber yield. Three fields were selected and a grid sampling strategy was developed at each experimental site to collect soil and crop yield samples. Sampling points and field boundaries in both fields were mapped using a real time kinematics global positioning system. Soil and sensor data were collected four times during growing season. Soil samples were analyzed for soil organic matter, pH, texture and electrical conductivity. The volumetric moisture content (?v) was recorded at each grid point with time domain reflectometry. Ground conductivity readings were also recorded with DualEM conductivity meter at selected sampling points. Soil and crop data were analyzed using classical statistics to quantify overall variability within fields. The semivariograms were produced for each soil property and crop yield to ascertain the degree of spatial variability between neighboring observations. The soil and crop data was mapped in Arc GIS 10.5 to display the spatial patterns of variability within selected fields. Characterization of spatial soil variability in potato fields can help in planning future soil sampling in new fields presenting soil and yield variability. Appropriate soil sampling can assist in recognizing yield-limiting soil properties and develop prescription maps for site specific nutrient management to improve unproductive areas and mitigate environmental pollution. The results will be presented in paper and poster.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Machinery and Robotic Systems 3
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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