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Glyphosate behavior in rice paddy fields across different rotation systems.

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ABSTRACT.- The intensification of irrigated rice production systems requires a comprehensive assessment of the environmental impact of pesticide use. Here, we investigated the behavior of the herbicide glyphosate (GLY) and its metabolite aminophosphonic acid (AMPA), throughout four rice rotations (continuous rice cropping (RC), ricesoybean (R-S), rice-short term pasture (R-PS) and rice-long term pasture R-PL) reflecting different agricultural intensification scenarios in a long-term experimental (LTE) site. © 2025 Elsevier B.V.

Exploring the potential of Lupin (Lupinus angustifolius) flour-based ingredients in developing high moisture meat analogues.

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ABSTRACT.- The rising demand for sustainably and ethically produced alternatives to animal protein-rich foods has driven interest in plant-based meat analogues. This study evaluated the potential of lupin flour (LF), protein isolate (LPI), and their blends with soy protein isolate (SPI) to produce high-moisture meat analogues (HMMAs) through extrusion cooking. Six SPI-LF-LPI blends, with protein contents ranging from 64.5% to 80.5%, were extruded under three feed moisture contents (FMC) of 60%, 65%, and 70%.

Implementing marker covariates and multi-trait genomic selection models to improve grain milling, appearance, cooking, and edible quality in rice (Oryza sativa L.). (Original article).

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ABSTRACT.- Rice (Oryza sativa L.) is a staple food for over half of the world's population. With population growth, socioeconomic changes, and shifting consumer lifestyles, the demand for high-quality rice has surged. Understanding consumer preferences for rice quality traits is crucial for breeders to effectively address evolving market needs. Rice breeding programs assess various quality aspects, including grain shape, appearance, milling efficiency, and cooking and eating qualities.

Wheat yellow rust in Uruguay: understanding the genetic resistance in a panel of breeding and commercial germplasm. (Original article).

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ABSTRACT.- Key message: Eight QTL conferring additive APR to YR were identified in wheat germplasm using GWAS. The high accuracy of GP models supports the feasibility of accelerating breeding for YR resistance. Abstract: Wheat yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), is among the most devastating diseases affecting wheat worldwide. Since 2000, YR has expanded into regions where it was previously not considered an economically important disease. The deployment of YR-resistant cultivars remains the most effective and sustainable control strategy.

Water consumption assessment of afforestation and natural vegetation areas with a remote sensing approach.

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ABSTRACT.- This study analyzed the impact of land use and cover changes, along with climate variability, on water consumption by quantifying actual evapotranspiration ((Formula presented.)) in the Tres Cruces River basin (TCR) in Uruguay. Using Landsat 8 and 9 images from 2014 to 2024, the SAFER method (Simple Algorithm for Evapotranspiration Retrieving), applied for the first time in Uruguay, estimated (Formula presented.) for natural vegetation (grasslands and riparian forests) and commercial afforestation areas.

Correction to: Visualizing oral infection dynamics of Beauveria bassiana in the gut of Tribolium castaneum. (Journal of Fungi, (2025), 11, 2, (101), 10.3390/jof11020101).

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In the original article [1], the omission of two critical references led to a shift in the citation numbering throughout the discussion section, which significantly impacts the interpretation of the text.

Factors associated with ovine footrot lesions in Uruguayan flocks: a cross-sectional study. (Original research article).

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ABSTRACT.- Ovine footrot has Dichelobacter nodosus as the primary pathogen, and it is characterized by its infectious and multifactorial nature, such as environmental conditions, management practices, and host susceptibility, leading to variable prevalence and economic impacts across regions. The present study investigated factors associated with footrot scores in individual sheep from a non-probabilistic sample of 60 flocks enrolled by the Uruguayan Wool Secretariat, from which 6,139 sheep had their feet clinically evaluated from 2021 to 2024. PCR was employed to confirm D.

Reactive oxygen species production by monocytes negatively correlates with disease activity in rheumatoid arthritis.

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ABSTRACT.- Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by severe joint inflammation, synovial hyperplasia and degradation of the cartilage and bone in the joint. Patients with RA have an amplified T helper (Th) 1 and Th17 immune response and production of autoantibodies by autoreactive B cells. In the joint, macrophages mediate bone destruction and maintain the inflammatory process in RA.

Protist community structure and functional diversity in soils of rice rotations with crops and pastures.

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ABSTRACT.- Protists are one of the most diverse major eukaryotes in the soil ecosystems and play essential functional roles in shaping the microbial community structure, soil nutrient cycling, and crop productivity. However, protist community composition in soils is poorly understood, notably in paddy field soils with alternating oxic and anoxic phases and when under rotation with other crops and pastures. Furthermore, current knowledge about South American soils' protist communities is limited.

Enhancing rice (Oryza sativa L.) yield prediction with sequential climatic data: A case study in Uruguay. [Melhoria da predição da produtividade do arroz (Oryza sativa L.) com dados climáticos sequenciais: um estudo de caso no Uruguai.].

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ABSTRACT.- Effective planning and decision-making for rice (Oryza sativa L.) cultivation require precise yield predictions. Thus, new prediction strategies that incorporate climatic effects and management variables are essential to bridge the gap between actual and potential yields. This study aimed to evaluate the predictive accuracy of rice yield under real production conditions, considering weekly climatic information. The specific focus was on identifying which factors contribute to improved predictive performance and when they play a critical role in the production cycle.