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Unlabelled: Northern Corn Leaf Blight (NCLB), caused by the fungal pathogen , is a destructive disease on maize. Identification of resistance quantitative trait loci (QTLs) or genes is crucial for breeding maize varieties with durable resistance to NCLB. Although a lot of resistance QTLs against NCLB have been isolated, only a few have been fine-mapped to date. Here, a BCF population was developed from a cross between the resistance line CIMBL75 and the susceptible line Liao3162. This population was inoculated with mixed conidia of six races. Through five field trials, five resistance QTLs against NCLB were identified in this BCF population. One of them, on bin3.04, was repeatedly detected across all five trials. It explained 4.8-9.3% of phenotypic variation. Furthermore, the locus was narrowed down to a 5.053 Mb region by using a progeny-based sequential fine-mapping strategy. Hence, holds significant potential for improving maize broad-spectrum resistance against NCLB.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-025-01581-1.
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http://dx.doi.org/10.1007/s11032-025-01581-1 | DOI Listing |
Fungal Biol
October 2025
Food Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Bag X2046, Mmabatho, 2735, South Africa; Department of Animal Health, Faculty of Natural and Agricultural Sciences, North-West University, Private Bag X2046, Mmabatho, 2735, South Africa
Most African research reports on the frequent aflatoxin contamination of various foodstuffs, with few reports giving details of the Aspergillus species present in these commodities. Numerous research works provide evidence of the ability of fungi to grow, thrive, and interact with other crop species and focus on the fact that these processes are largely affected by climatic variables. As opposed to the attention directed to the above-mentioned themes, information on the biodiversity of Aspergillus species in maize in most African countries, including South Africa, is lacking.
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August 2025
Institute of Ecology, Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany Institute of Ecology, Leuphana University, Universitätsallee 1 21335 Lüneburg Germany.
Background: Ground beetles are present in most terrestrial ecosystems and fulfil key functions, especially as many species are important predators, contributing to natural pest control in agricultural landscapes. However, intensive agriculture, which combines monocultures and synthetic inputs, has been shown to have negative effects on insect diversity and abundance. To counteract insect decline, numerous measures are being implemented and tested at national scales.
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College of Electrical Engineering and Information, Northeast Agricultural University, Harbin 150030, China.
Early and accurate identification of maize diseases is crucial for ensuring sustainable agricultural development. However, existing maize disease identification models face challenges including high inter-class similarity, intra-class variability, and limited capability in identifying early-stage symptoms. To address these limitations, we proposed DSTANet (decomposed spatial token aggregation network), a lightweight and high-performance model for maize leaf disease identification.
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Key Laboratory of IPM on Crops in Northern Region of North China, Institute of Plant Protection, Hebei Academy of Agriculture and Forestry Sciences, Integrated Pest Management Innovation Centre of Hebei Province, Ministry of Agriculture and Rural Affairs of China, Baoding 071000, China.
Plant Growth Promoting Rhizobacteria, PGPR, can protect plants against soil-borne diseases and abiotic stress conditions. The primary objective of this study was to evaluate the effects of different PGPRs (TF1, TF2, TF3, and TF4) on the rhizosphere microbial community of silage maize in a saline-alkaline field via Illumina MiSeq high-throughput sequencing technology. Results demonstrated that different PGPRs significantly increased the harvest density (by 21.
View Article and Find Full Text PDFAm J Trop Med Hyg
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Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
In complex environments characterized as protracted humanitarian settings where public services are largely lacking, food and water contamination are significant contributors to malnutrition. Multisector, multilevel, community-driven programs may address these issues simultaneously and synergistically. A 1:1:1 cluster randomized controlled design was used to evaluate the effectiveness of two social and behavior change interventions in northern Uganda aimed at enabling participants to assess and act on key drivers of malnutrition: a core nutrition impact and positive practice (NIPP) intervention versus an NIPP+ intervention, which included additional nudges toward adopting improved technologies, compared with a control arm (NCT04209569).
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