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Tools to refine unknown parent group definitions.

Enviado por Anónimo (no verificado) el
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ABSTRACT.- Unknown parent groups (UPG) model missing parentships according to breed, year, and pathway of selection. Genetic evaluations need a sensible definition of rules to form UPG to ensure their accurate estimation. With more complex evaluations, systematic rules are needed to form UPG. We propose several methods to ascertain informativity and join consecutive UPG within breed and pathway.

Optimising compensatory growth in pastoral beef production systems: insights into feed efficiency, body composition, carcass characteristics and meat quality attributes.

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ABSTRACT.- Exploitation of compensatory growth (CG) is a widely practised management strategy in beef production, especially under pastoral conditions due to its potential to reduce feed costs. The aim of this experiment was to evaluate the effect of nutritional restriction during backgrounding in Angus steers slaughtered at either similar age and/or similar BW on feed efficiency, body composition, carcass characteristics and meat quality attributes under either a forage or feedlot-based finishing diet.
© Copyright 2025 Elsevier B.V., All rights reserved.

Data-driven R&D&I management for societal impacts: introduction and application of AgroRadarEval.

Enviado por Anónimo (no verificado) el
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ABSTRACT.- Recognizing evaluation results as a crucial source of information to support RD&I management, this article introduces 'AgroRadarEval', an interactive tool aimed at fulfilling theoretical, conceptual, and practical gaps concerning the systematization of the use of evaluation results in agricultural RD&I.

Feed additives for methane mitigation: Recommendations for testing enteric methane-mitigating feed additives in ruminant studies. (Review).

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ABSTRACT.- There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives.

Degradation of arbuscular mycorrhizal symbiosis: A mechanism underlying Cynodon dactylon invasion in grasslands?

Enviado por Anónimo (no verificado) el
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ABSTRACT.- Questions: Degradation of facilitative interactions of native species can play an important role in the establishment and expansion of invasive plants in communities. We evaluated the relationship between the level of invasion of Cynodon dactylon and the arbuscular mycorrhizal colonization of the native Paspalum notatum in Uruguayan grasslands, which were either extensively managed (natural vegetation [NG]) or oversown with exotic legumes and fertilized with phosphorus (NG + LP).

Predicting spatial and temporal variability in soybean yield using deep learning and open source data.

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ABSTRACT.- Spatial crop yield prediction provides valuable insights for supporting sustainable and precise crop management decisions. This study assessed the capabilities of advanced Deep Learning (DL) architectures in predicting within-field soybean yields using spectral bands from Sentinel-2 (RS-Inputs), weather (W-Inputs), and topographic attributes (TA-Inputs). © 2024 The Author(s). Published by Elsevier B.V

Plant phenotyping and root-associated metabolomics reveal insights into pathogen protection by diverse arbuscular mycorrhizal fungi.

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ABSTRACT.- Societal Impact Statement: Arbuscular mycorrhizal (AM) fungi support plant development by enhancing growth and resistance to pathogens through mycorrhiza-induced resistance (MIR). However, the varying capacities of individual AM fungal species to induce MIR are not well-understood, limiting their agricultural potential. This study reveals that specific AM fungal isolates differ in their ability to enhance tomato growth and reduce biomass losses due to Rhizoctonia solani infection, a major root pathogen.

Enhancing wheat yield potential through the QTL QFFE.perg-5A and QFEm.perg-3A associated to spike fruiting efficiency: Insights from plot-level analysis.

Enviado por Anónimo (no verificado) el
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ABSTRACT.- Wheat (Triticum aestivum L.) is a key global crop essential for food security. Enhancing wheat productivity is crucial to meet growing food demands. Quantitative trait loci (QTL) such as QFFE.perg-5A and QFEm.perg-3A have been previously linked to fruiting efficiency at the spike level, but their effects on plot-level yield components remain unexplored. 4290/© 2024 Elsevier B.V. All rights are reserved.

Accuracy of genomic predictions for resistance to gastrointestinal parasites in Australian Merino sheep.

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ABSTRACT.- Infection by gastrointestinal nematodes (GINs) in sheep is a significant health issue that affects animal welfare and leads to economic losses in the production sector. Genetic selection for parasite resistance has shown promise in improving animal health and productivity. This study aimed to determine if incorporating genomic data into genetic prediction models currently used in Uruguay could improve the accuracy of breeding value estimations for GIN resistance in the Australian Merino breed.