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1.
Analysis of seed-associated bacteria and fungi on staple crops using the cultivation and metagenomic approaches
Valerija Tkalec, Aleksander Mahnič, Peter Gselman, Maja Rupnik, 2022, original scientific article

Abstract: One of the key factors afecting seed quality is microbial communities residing on and in the seeds. In this study, microbial populations of seeds of conventionally and organically produced wheat, barley, and maize were analyzed using two diferent approaches: the cultivation method and metagenomics. For cultivation, three basic media were used: DG18 (for fungi), and nutrient agar or tryptic soy agar supplemented with cycloheximide or nystatin (for bacteria). Metagenomic sequencing was performed using the Illumina MiSeq platform. A total of 452 bacterial isolates comprising 36 genera and 5 phyla and 90 fungal isolates comprising 10 genera and 3 phyla were obtained from the seed surfaces. Among bacteria, representatives from the genera Bacillus, Pantoea, Paenibacillus, and Curtobacterium predominated, and among fungi, Aspergillus predominated. A total of 142 fungal OTUs and 201 bacterial OTUs were obtained from all the samples. Proteobacteria, Firmicutes, Bacteroides, and Actinobacteria comprised most of the bacterial OTUs, and Ascomycota comprised most of the fungal OTUs. Only 3 fungal OTUs (representatives of Curvibasidium, Venturia, and Dermateaceae) were exclusively present only within seeds and not on the seed surfaces. Barley seeds had the highest microbial load and richness, whereas corn had the lowest. Wheat and barley shared a higher number of OTUs than either of them did with corn with higher overlap between conventionally grown cereals than between organically grown cereals. Some OTUs were farming specifc. This study demonstrates that the microbiome of cereal seeds is greatly dependent on the species of the host and is less afected by agricultural practices.
Keywords: Microbiota, Wheat, Barley, Corn, NGS, Culture
Published in DKUM: 05.07.2024; Views: 119; Downloads: 9
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2.
The use of image-spectroscopy technology as a diagnostic method for seed health test and variety identification
Martina Vrešak, Halkjaer Olesen, René Gislum, Franc Bavec, Ravn Jørgensen, 2016, original scientific article

Abstract: Application of rapid and time-efficient health diagnostic and identification technology in the seed industry chain could accelerate required analysis, characteristic description and also ultimately availability of new desired varieties. The aim of the study was to evaluate the potential of multispectral imaging and single kernel near-infrared spectroscopy (SKNIR) for determination of seed health and variety separation of winter wheat (Triticum aestivum L.) and winter triticale (Triticosecale Wittm. & Camus). The analysis, carried out in autumn 2013 at AU-Flakkebjerg, Denmark, included nine winter triticale varieties and 27 wheat varieties provided by the Faculty of Agriculture and Life Sciences Maribor, Slovenia. Fusarium sp. and black point disease-infected parts of the seed surface could successfully be distinguished from uninfected parts with use of a multispectral imaging device (405%970 nm wavelengths). SKNIR was applied in this research to differentiate all 36 involved varieties based on spectral differences due to variation in the chemical composition. The study produced an interesting result of successful distinguishing between the infected and uninfected parts of the seed surface. Furthermore, the study was able to distinguish between varieties. Together these components could be used in further studies for the development of a sorting model by combining data from multispectral imaging and SKNIR for identifying disease(s) and varieties.
Keywords: Fusarium sp., SKNIR, multispectral imaging, varieties, wheat, organic farming
Published in DKUM: 19.06.2017; Views: 1431; Downloads: 208
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