Phylogenetic studies and distinction of aflatoxin-producing Aspergillus species in section Flavi, Ochraceorosei and Nidulantes: A review DOI

A.K Sharma,

Adesh Kumar,

Robin Rijal

et al.

Gene, Journal Year: 2024, Volume and Issue: unknown, P. 149151 - 149151

Published: Dec. 1, 2024

Language: Английский

Fusarium graminearum and zearalenone in wheat: A water activity–temperature model DOI
Ben Ingram, Sonia Marı́n, Elisavet Kiaitsi

et al.

Fungal Biology, Journal Year: 2025, Volume and Issue: unknown, P. 101572 - 101572

Published: April 1, 2025

Language: Английский

Citations

0

Mathematical modeling for management of stored-grain ecosystems: Approaches, opportunities, and research needs DOI Creative Commons

T. Anukiruthika,

Digvir S. Jayas

Journal of Stored Products Research, Journal Year: 2024, Volume and Issue: 106, P. 102304 - 102304

Published: April 1, 2024

Cereal grains, oilseeds, and pulses (collectively referred to as grains) form a major portion of daily intake for humans domesticated animals hold greater economic value producers grain industry. Often losses (qualitative quantitative) occur due improper management grains during storage. Grain storage comprises several interactions among biotic abiotic factors that makes understanding ecosystem quite complex. Over the years, mathematical modeling has emerged powerful tool assessment, prediction, simulation real-time conditions. This manuscript presents comprehensive review on various approaches are used solving problems. Different solution techniques formulations using analytical numerical (finite element, finite difference, volume, discrete element modeling) explained. The testing validation critical steps must be considered model development process. Reports available prediction temperature, moisture, gas diffusion profiles in bins different Similarly, works have been attempted determination spatial temporal distribution stored products insect bulks well models predict fungi reported. However, through coupling physical (thermal, diffusion) with biological (population dynamics dispersal) is needed. advancements information technology would aid analyzing data from laboratory field studies forming an online database. Appropriate global cooperation coordination could help accessing about level infestation or infection at any given time. Early conditions possible approach should establishing better protocols.

Language: Английский

Citations

4

Anti-aflatoxin potential of phenolic compounds from common beans (Phaseolus vulgaris L.) DOI

Dayana León-Cortés,

Kelvin Arce-Villalobos,

Diego Bogantes-Ledezma

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 469, P. 142597 - 142597

Published: Dec. 24, 2024

Language: Английский

Citations

1

Maize–Fusarium associations and their mycotoxins: Insights from South Africa DOI Creative Commons
Cobus M. Visagie, Hannalien Meyer, Neriman Yılmaz

et al.

Fungal Biology, Journal Year: 2024, Volume and Issue: 128(8), P. 2408 - 2421

Published: March 28, 2024

For maize, a staple food in South Africa, there is lack of comprehensive knowledge on the mycotoxin-producing fungal diversity. In this study, community profile was established using culture-dependent methods for 56 maize seed samples that were also analysed 13 mycotoxins. The isolates identified by morphology and DNA sequencing. A total 723 from 21 genera 99 species obtained characterised. Fusarium most common genus (isolated 52 samples), followed Cladosporium (n = 45), Aspergillus 41), Talaromyces 40), Penicillium 38). communities dominated fujikuroi complex, which includes such as verticillioides temperatum, while awaxy mirum are reported here first time Africa. As deoxynivalenol (DON) producing species, only boothii graminearum isolated to lesser extent. DON 37), fumonisins (FUM) 32), zearalenone (ZEA) 6) detected. presence particular did not guarantee corresponding mycotoxins, inverse true. occurrence and/or FUM African remains health concern, so continuous monitoring both their mycotoxins important.

Language: Английский

Citations

0

Micro-Incubator Protocol for Testing a CO2 Sensor for Early Warning of Spontaneous Combustion DOI Creative Commons
Mathew G. Pelletier, Joseph S. McIntyre, Gregory Holt

et al.

AgriEngineering, Journal Year: 2024, Volume and Issue: 6(4), P. 4294 - 4307

Published: Nov. 14, 2024

A protocol for detecting the potential occurrence of spontaneous combustion (SC) in stored cottonseeds and peanuts using a micro-incubator is described. The indicates how to quantify CO2 production rates final levels wet versus dry cottonseed peanut samples, which can provide crucial data early detection SC risk storage facilities. experimental design utilizes simulate conditions found large bulk crop storage. Parameters monitored include concentration, temperature, relative humidity. includes preparation methods, procedures both control (dry) seed tests, test termination criteria that allow safe experimentation likely pathogenic fungi. has three replicates conditions. intended facilitate future studies ultimately contribute development consistently reliable warning fire system warehouse would address critical need cotton industry improved management insurability

Language: Английский

Citations

0

Phylogenetic studies and distinction of aflatoxin-producing Aspergillus species in section Flavi, Ochraceorosei and Nidulantes: A review DOI

A.K Sharma,

Adesh Kumar,

Robin Rijal

et al.

Gene, Journal Year: 2024, Volume and Issue: unknown, P. 149151 - 149151

Published: Dec. 1, 2024

Language: Английский

Citations

0