Investigation of the potential to reduce waste through sampling and spatial analysis of grain bulks. (July 2021)

• Record Type: Journal Article
• Authors: Kerry, Ruth; Ingram, Benjamin R.; Garcia-Cela, Esther; Magan, Naresh
• Is Part Of: Biosystems engineering. Volume 207(2021)
• Page Start: 92
• Page End: 105
• Publication Date: 2021-07
• Subjects: Mycotoxins -- Grain storage -- Spatial analysis -- Variograms -- Local Moran's I -- Sequential Gaussian simulation; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2021.05.001
• Languages: English
• ISSNs: 1537-5110

Abstract

Abstract : Batches of grain are accepted or rejected based on average mycotoxin concentrations in a composite grain sample. Spatial analysis of mycotoxins in two grain bulks was performed to determine the spatial distribution of toxins, whether they were co-located and the proportions of grain over legislative limits. The 2D distribution of deoxynivalenol (DON) and ochratoxin A (OTA) in a truck load of wheat grain was analysed, as was the distribution of fumonisins (FB1 and FB2 ) in a 3D maize grain pile. The data had been previously analysed, but results here show that highly skewed data would need to be transformed to investigate spatial autocorrelation properly. In the truck of wheat grain, DON and OTA showed co-variation and, in contrast to previous studies, OTA showed spatial structure when converted to normal scores. Spatial analysis of the maize pile showed that FB1 and FB2 contamination levels were each highest near the outer face and base of the grain pile. Simulations for both grain bulks showed that, for average toxin concentrations close to legislative limits, the proportion of grain over the legislative limits can vary greatly and could be very small when toxin contamination is highly positively skewed. The implications of the results for management were considered. Post-harvest, strategically placed sensors could be used to monitor environmental conditions within the stored grain in real time and detect the first signs of spoilage allowing swift remediative action so less grain is wasted. Pre-harvest approaches for mycotoxin management are suggested as additional food waste reduction strategies. Highlights: Dealing with skew revealed previously undetected spatial structure in mycotoxin data. Deoxynivalenol and ochratoxin A showed co-variation in truckload of wheat. Fumonisin concentrations were greatest at base and outer layers of a maize grain pile. If skew is high, grain batches could be rejected when only small amounts exceed limits. The implications of the results for pre- and post-harvest management are discussed.