ABSTRACT.- Herbicide resistance in Conyza bonariensis (hairy fleabane) poses a significant challenge to agricultural systems worldwide. The genetic variability and prolific seed production of this species contribute significantly to its adaptative potential and fast spread in the agricultural fields. This study aimed to investigate the mechanisms underlying multiple herbicide resistance to glyphosate and ALS inhibitors in C. bonariensis biotypes from southern Brazil. Resistance factors exceeded 100 times for chlorimuron-ethyl and 49 times for glyphosate.

ABSTRACT.- Changes in light conditions may affect invasiveness as they can constrain different stages of plant development during the invasion process. This is particularly true in grazed grasslands, as livestock selectively removes above-ground biomass, promoting light heterogeneity. We assessed how light intensity and quality affect the germination and growth of Eragrostis plana, one of the most invasive alien grasses of the Río de la Plata grasslands (southern Brazil, Uruguay, and eastern Argentina).

ABSTRACT.- Bromus auleticus, a valuable forage grass native to the Pampa biome, is currently undergoing genetic erosion. Therefore, it is essential to assess appropriate methodologies for developing population genomic studies that will contribute to the conservation of this genetic resource. In this study, we evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq).

ABSTRACT.- The use of alternative waste products as organic soil amendments has become increasingly important for researchers and the industrial sector, as they promote environmental protection and sustainable development. The objective of this study was to assess phytotoxicity of different pulp industry sludge rates applied to two soils as soil amendment, based on their effects on seed germination and radicle elongation of tall fescue (Festuca arundinacea) and common wheat (Triticum

ABSTRACT.- Background: Single-step genomic BLUP (ssGBLUP) has gained increasing interest from forest tree breeders. ssGBLUP combines phenotypic and pedigree data with marker data to enhance the prediction accuracy of estimated breeding values. However, potential errors in determining progeny relationships among open-pollinated species may result in lower accuracy of estimated breeding values. Unknown parent groups (UPG) and metafounders (MF) were developed to address missing pedigrees in a population.

ABSTRACT.- Temperature is a major effect variable on the speed and types of physical, chemical and biochemical reactions that occur in soils. © Copyright 2025 Elsevier B.V., All rights reserved.

ABSTRACT.- Sex determination through genotyping is an efficient tool for verifying recorded sex in sheep. Since males possess only one X chromosome, heterozygous genotypes should not be present in the non-pseudoautosomal region (nPAR) of the X chromosome. There fore, determining the boundaries of the pseudoautosomal region (PAB) is necessary for a reliable sex prediction. Although it is recommended to use SNPs from both the X and Y chromosomes, the SNP chip we used did not contain Y chromosome markers.

ABSTRACT.- This report describes the first documented case of intracerebral hemorrhage (ICH) in a horse following Bothrops snakebite envenomation. A 3-year-old mare developed acute kidney injury, systemic hemorrhage, and neurological signs before euthanasia. Postmortem findings confirmed massive ICH with intralesional venom identified by immunohistochemistry. Delayed treatment and insufficient antivenom likely contributed to the outcome.

ABSTRACT.- Context: The environmental performance of family farming is strikingly under-documented, despite its recognized strategic importance within agri-food systems. Determining whether family farming has a distinct environmental footprint or not can provide valuable insights into its potential role in agricultural sustainability. Objective: We evaluated the environmental performance of family and non-family farms across different production systems and geomorphological regions in Uruguay.

ABSTRACT.- Soil health (SH) is inherently dynamic, and traditional soil surveys do not capture it. Its spatiotemporal variability presents challenges to understanding its drivers. We applied machine learning (ML) models and digital soil mapping (DSM) techniques to integrate SH observations with remotely-sensed data products for regions in New York State, representing soil forming factors, cropping systems, and management.