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- Title
SPATIAL VARIABILITY OF POTATO YIELD BASED ON FOURIER TRANSFORM.
- Authors
ZHANG, R. X.; ZHANG, J. F.; LI, T.; HU, H.
- Abstract
The influence of soil properties on spatial yield variability of potato (Solanum tuberosum L.) can be employed as a foundation for site-specific soil management. It is challenging to understand the mechanism of crop yield spatial variation. In this study, a Fourier transform-based spatial variation analysis method is proposed for potato yield. The current work investigated the relationship of soil properties (including texture, moisture, and nitrate-nitrogen) to the variability of potato yield on 28 ha center-pivot irrigated fields located in northwest China from 2015 to 2017. Statistics and geostatistics are applied to evaluate the spatial variability of potato yield and soil properties; correlation analysis, partial least squares regression (PLSR) and the Fourier transform-based spatial variation analysis method are applied to explore the driving factors of the spatial variability of potato yield. Compared with other soil factors, soil moisture content and potato yield had more similar spatial structure, with similar semi-variance model and parameters. A negative correlation between soil moisture content and yield has been found in the first two years. According to partial least squares regression (PLSR), soil properties can only explain 24%, 25%, and 3% of the potato yield variation in 2015, 2016, and 2017. However, the Fourier transform-based spatial variation analysis method indicated that about 80% of potato yield variation has been explained by soil texture (49%), soil moisture (30%), soil nitrate-nitrogen (10%), and other factors (10%). The contribution of multiple factors to yield spatial variation has been decomposed by the method based on Fourier transform. This method can be considered a new approach for studying spatial variation and a theoretical basis for precise field management.
- Subjects
CHINA; PARTIAL least squares regression; FOURIER transforms; PHASE coding; POTATOES; SOIL moisture; SPATIAL variation; SOIL texture
- Publication
Applied Ecology & Environmental Research, 2023, Vol 21, Issue 2, p1331
- ISSN
1589-1623
- Publication type
Article
- DOI
10.15666/aeer/2102_13311359