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Title: Methodology for measuring fAPAR in crops using a combination of active optical and linear irradiance sensors: a case study in Triticale (X 'Triticosecale' Wittmack)
Contributor(s): Rahman, Muhammad Moshiur (author)orcid ; Stanley, John (author); Lamb, David (author); Trotter, Mark (author)
Publication Date: 2014
DOI: 10.1007/s11119-014-9349-6
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Abstract: The amount of photosynthetically active radiation (PAR, 0.4-0.7 μm) absorbed by plants for photosynthesis relative to incident radiation is defined as the fraction of absorbed photosynthetically active radiation (fAPAR). This is an important variable in both plant biomass production and plant growth modeling. This study investigates the application of a newly developed, linear irradiance sensor (LightScout Quantum Bar Sensor, LightScout, Spectrum Technologies, Inc. USA), to quantify fAPAR for a demonstrator crop, Triticale (X 'Triticosecale' Wittmack). A protocol was devised for sensor placement to determine reflected PAR components of fAPAR and to determine the optimal time of day and sensor orientation for data collection. Coincident, top of canopy, normalized difference vegetation index (NDVI) measurements were also acquired with ab CropCircle™ ACS-210 sensor and measurements correlated with derived fAPAR values. The optimum height of the linear irradiance sensor above soil or plant canopy was found to be 0.4 m while measuring reflected PAR. Measurement of fAPAR was found to be stable when conducted within 1 h of local solar noon in order to avoid significant bidirectional effects resulting from diurnal changes of leaf orientation relative to the vertically-placed sensor. In the row crop studied, averaging fAPAR readings derived from the linear irradiance sensor orientated across and along the plant row provided an R² = 0.81 correlation with above-canopy NDVI. Across row sensor orientation also gave a similar correlation of R² = 0.76 allowing the user to reduce sampling time.
Publication Type: Journal Article
Source of Publication: Precision Agriculture, 15(5), p. 532-542
Publisher: Springer New York LLC
Place of Publication: United States of America
ISSN: 1573-1618
Field of Research (FOR): 070104 Agricultural Spatial Analysis and Modelling
070306 Crop and Pasture Nutrition
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology

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