ABSTRACT.- Introduction: Varroa destructor stands as the primary global pest of honey bees, inflicting direct harm on bees while also acting as a vector for a multitude of viruses. Integrated pest management is widely recognized as the optimal strategy for minimizing acaricide application. Designed bottom boards that can limit the growth of the mite population by removing them from the hive and preventing their return and reinfestation of the colony show promising potential.

ABSTRACT.- Group A rotavirus (RVA) infections are a leading cause of neonatal diarrhoea in foals. Neonatal mice could serve as a useful tool to study the pathogenesis of equine RVA (ERVA) as well as a preclinical model for assessment of vaccine efficacy. This study aimed to comparatively evaluate the clinical, virological and pathological features of ERVA G3P[12] and G14P[12] infection in neonatal mice and compare them with porcine OSU G5P[7] and bovine UK G6P[5] RVA reference strains.

ABSTRACT.- Bromus auleticus is a perennial grass native to the campos of South America, valued for its persistence, productivity and forage quality. Conservation and breeding efforts are constrained by limited knowledge of its reproductive aspects. Although allogamy and genetic incompatibility have been reported, these traits have not been sufficiently corroborated across multiple populations. This work aimed to determine the reproductive system of B.

ABSTRACT.- This study evaluates the potential of hard hexaploid wheat (Triticum aestivum L.) lines, developed through marker-assisted selection (MAS), as an alternative to durum wheat for pasta production. Using hard hexaploid lines (SD lines) with targeted traits, such as increased gluten strength, protein content, and yellow coloration, the objective was to assess their performance relative to traditional durum wheat.

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.- 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.- 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.- 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.- 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.