Spatial analysis of mycotoxins in stored grain to develop more precise management strategies

R. Kerry; B. Ingram; E. Garcia-Cela; N. Magan

doi:10.3920/978-90-8686-888-9_89

Spatial analysis of mycotoxins in stored grain to develop more precise management strategies

R. Kerry, B. Ingram, E. Garcia-Cela, N. Magan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

65 Downloads (Pure)

Abstract

Mycotoxins are harmful to human and animal health so legislative limits in stored cereals must not be exceeded. The spatial distribution of many different mycotoxins in grain silos is largely unknown. Spatial analysis is needed for precise management of stored grain to minimize waste, prevent rejection of lots and maximize profit. This study re-analysed existing datasets where spatial analysis was hindered by highly-skewed data. Here the normal score transform was used. Dataset 1: Cross-variograms and bi-variate local Moran's I (LMI) analysis showed spatial structure and co-variation in two toxins. Dataset 2: 3D spatial analysis showed spatial structure was stronger and concentrations were higher in the outer layers of the grain and where moisture collects under the influence of gravity.

Original language	English
Title of host publication	Precision agriculture ’19
Editors	John V. Stafford
Publisher	Wageningen Academic Publishers
Pages	721-727
Number of pages	7
ISBN (Electronic)	9789086868889
ISBN (Print)	9789086863372
DOIs	https://doi.org/10.3920/978-90-8686-888-9_89
Publication status	Published - 11 Jul 2019
Event	European Conference on Precision Agriculture - Montpellier, France Duration: 8 Jul 2019 → 11 Jul 2019 Conference number: 12

Conference

Conference	European Conference on Precision Agriculture
Abbreviated title	ECPA 2019
Country/Territory	France
City	Montpellier
Period	8/07/19 → 11/07/19

Keywords

Grain storage
Local Moran's I
Mycotoxins
Spatial analysis
Variogram

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Kerry_et_al_2019_Spatial_Analysis_of_Mycotoxins_in_Stored_Grain_to_develop_more_Precise_Management_StrategiesAccepted author manuscript, 6.47 MB

Cite this

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title = "Spatial analysis of mycotoxins in stored grain to develop more precise management strategies",

abstract = "Mycotoxins are harmful to human and animal health so legislative limits in stored cereals must not be exceeded. The spatial distribution of many different mycotoxins in grain silos is largely unknown. Spatial analysis is needed for precise management of stored grain to minimize waste, prevent rejection of lots and maximize profit. This study re-analysed existing datasets where spatial analysis was hindered by highly-skewed data. Here the normal score transform was used. Dataset 1: Cross-variograms and bi-variate local Moran's I (LMI) analysis showed spatial structure and co-variation in two toxins. Dataset 2: 3D spatial analysis showed spatial structure was stronger and concentrations were higher in the outer layers of the grain and where moisture collects under the influence of gravity.",

keywords = "Grain storage, Local Moran's I, Mycotoxins, Spatial analysis, Variogram",

author = "R. Kerry and B. Ingram and E. Garcia-Cela and N. Magan",

year = "2019",

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day = "11",

doi = "10.3920/978-90-8686-888-9_89",

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editor = "Stafford, {John V.}",

booktitle = "Precision agriculture {\textquoteright}19",

publisher = "Wageningen Academic Publishers",

address = "Netherlands",

note = "European Conference on Precision Agriculture, ECPA 2019 ; Conference date: 08-07-2019 Through 11-07-2019",

}

TY - GEN

T1 - Spatial analysis of mycotoxins in stored grain to develop more precise management strategies

AU - Kerry, R.

AU - Ingram, B.

AU - Garcia-Cela, E.

AU - Magan, N.

N1 - Conference code: 12

PY - 2019/7/11

Y1 - 2019/7/11

N2 - Mycotoxins are harmful to human and animal health so legislative limits in stored cereals must not be exceeded. The spatial distribution of many different mycotoxins in grain silos is largely unknown. Spatial analysis is needed for precise management of stored grain to minimize waste, prevent rejection of lots and maximize profit. This study re-analysed existing datasets where spatial analysis was hindered by highly-skewed data. Here the normal score transform was used. Dataset 1: Cross-variograms and bi-variate local Moran's I (LMI) analysis showed spatial structure and co-variation in two toxins. Dataset 2: 3D spatial analysis showed spatial structure was stronger and concentrations were higher in the outer layers of the grain and where moisture collects under the influence of gravity.

AB - Mycotoxins are harmful to human and animal health so legislative limits in stored cereals must not be exceeded. The spatial distribution of many different mycotoxins in grain silos is largely unknown. Spatial analysis is needed for precise management of stored grain to minimize waste, prevent rejection of lots and maximize profit. This study re-analysed existing datasets where spatial analysis was hindered by highly-skewed data. Here the normal score transform was used. Dataset 1: Cross-variograms and bi-variate local Moran's I (LMI) analysis showed spatial structure and co-variation in two toxins. Dataset 2: 3D spatial analysis showed spatial structure was stronger and concentrations were higher in the outer layers of the grain and where moisture collects under the influence of gravity.

KW - Grain storage

KW - Local Moran's I

KW - Mycotoxins

KW - Spatial analysis

KW - Variogram

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U2 - 10.3920/978-90-8686-888-9_89

DO - 10.3920/978-90-8686-888-9_89

M3 - Conference contribution

SN - 9789086863372

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BT - Precision agriculture ’19

A2 - Stafford, John V.

PB - Wageningen Academic Publishers

T2 - European Conference on Precision Agriculture

Y2 - 8 July 2019 through 11 July 2019

ER -

Spatial analysis of mycotoxins in stored grain to develop more precise management strategies

Abstract

Conference

Keywords

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