Visual assessment and computer–assisted image analysis of Fusarium head blight in the field to predict mycotoxin accumulation in wheat grains

Leplat, Johann; Mangin, P; Falchetto, Laurent; Héraud, Cécile; Gautheron, Elodie; Steinberg, Christian

doi:10.1007/s10658-017-1345-z

Cited by 9 publications

(9 citation statements)

References 58 publications

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“…Digital image analysis is also well suited for pre-selection [57]. Its usefulness has been demonstrated by numerous studies [28,[57][58][59][60][61].…”

Section: Discussionmentioning

confidence: 99%

An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

et al. 2018

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Kernel images of six wheat species were subjected to shape and color analyses to determine variations in the morphometric parameters of grain. The values of kernel shape descriptors (area, perimeter, Feret diameter, minimal Feret diameter, circularity, aspect ratio, roundness, solidity) and color descriptors (H, S, I and L*a*b*) were investigated. The influence of grain colonization by endophytic fungi on the color of the seed coat was also evaluated. Polish wheat grain was characterized by the highest intraspecific variation in shape and color. Bread wheat was most homogeneous in terms of the studied shape and color descriptors. An analysis of variations in wheat lines revealed greater differences in phenotypic traits of relict wheats, which have a larger gene pool. The grain of ancient wheat species was characterized by low roundness values and relatively low solidity. Shape and color descriptors were strongly discriminating components in the studied wheat species. Their discriminatory power was determined mainly by genotype. A method that supports rapid discrimination of cereal species and admixtures of other cereals in grain batches is required to guarantee the quality and safety of grain. The results of this study indicate that digital image analysis can be effectively used for this purpose.

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“…Digital image analysis is also well suited for pre-selection [57]. Its usefulness has been demonstrated by numerous studies [28,[57][58][59][60][61].…”

Section: Discussionmentioning

confidence: 99%

An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

et al. 2018

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“…However, the nCDA model could not be validated due to availability of only few and disproportionate samples of the five fungal infected seeds. Previous studies have shown the potential of multispectral imaging in detecting or identifying a specific fungus species (Bauriegel et al , 2011; Dammer et al , 2011; Jaillais et al , 2015; Leplat et al , 2018) in wheat seeds with high accuracy. The study dealt with identifying several fungal species in barley seeds.…”

Section: Seed Healthmentioning

confidence: 99%

Multispectral imaging – a new tool in seed quality assessment?

et al. 2018

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Multispectral imaging is a new technology that is being deployed to assess seed quality parameters. Examples of applications in the detection and identification of fungi on seeds are presented, together with an example of the technology used for maturity determination in sugar beet seed. Results from multispectral imaging are compared with reference methods, and a high correlation is found. Applications of the technique for varietal discrimination and insect damage are also presented. There is a need for non-destructive, reliable and fast techniques, and it is concluded that multispectral imaging has potential for seed quality assessment, in particular for those components associated with surface structure and chemical composition, seed colour, morphology and size.

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“…F. tricinctum is frequently recovered from wheat grain and can be regarded as one of major Fusarium species causing Fusarium head blight of wheat [58][59][60][61]. Strains of F. tricinctum have been shown to produce enniatins, fusarin C, and moniliformin [62][63][64].…”

Section: Effect Of Agroforestry On F Tricinctum In Barley and Wheatmentioning

confidence: 99%

Crop Diseases and Mycotoxin Accumulation in Temperate Agroforestry Systems

et al. 2019

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Background: Temperate agroforestry is regarded as a sustainable alternative to monoculture agriculture due to enhanced provisioning of ecosystem services. Plant health and food safety are crucial requirements for sustainable agriculture; however, studies of fungal diseases and mycotoxin contamination of crops grown under temperate agroforestry are lacking. This study therefore aimed to compare fungal colonization and mycotoxin contamination of crops grown in temperate agroforestry against conventional monoculture. Methods: The biomass of plant pathogenic fungi in oilseed rape plants and barley and wheat grain harvested in 2016 to 2018 at four paired agroforestry and monoculture sites was quantified using species-specific real-time PCR. Mycotoxin content of barley and wheat grain was determined by HPLC-MS/MS. Results: The colonization of oilseed rape plants with the vascular pathogen Verticillium longisporum and wheat grain with the head blight pathogen Fusarium tricinctum was lower in agroforestry than in conventional monoculture. Mycotoxin content of barley and wheat grain did not differ between agroforestry and monoculture systems and did not exceed the legal limits of the EU. Remarkably, fumonisin B1 was detected in wheat grains at two sites in two years, yet the low levels found do not raise food safety concerns. No differences were found between the two production systems with regard to infection of wheat and barley grain with five Fusarium species (F. avenaceum, F. culmorum, F. graminearum, F. poae, and F. proliferatum) and oilseed rape with fungal pathogens Leptosphaeria biglobosa, Leptosphaeria maculans, and Sclerotinia sclerotiorum. Conclusions: Temperate agroforestry does not negatively affect the infection of wheat, barley and oilseed rape with major fungal pathogens though it may suppress the infection of oilseed rape with V. longisporum and wheat grain with F. tricinctum. Furthermore, temperate agroforestry does not increase mycotoxin contamination of barley and wheat. Therefore, temperate agroforestry does not negatively affect food safety.

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Visual assessment and computer–assisted image analysis of Fusarium head blight in the field to predict mycotoxin accumulation in wheat grains

Cited by 9 publications

References 58 publications

An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

Multispectral imaging – a new tool in seed quality assessment?

Crop Diseases and Mycotoxin Accumulation in Temperate Agroforestry Systems

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