Intensified pasture-based systems have proven to be the most profitable option for the Uruguayan dairy industry. However, it is unknown if their biophysical performance is attainable with voluntary milking systems (VMS), an alternative recently explored to make dairy more attractive to future generations. The aim of this study was to compare milk production (MP) of two pasture-based production systems:a conventional milking system (CMS), where cow flow is forced, and a VMS, where cow flow is voluntary.

Intensified pasture-based systems have proven to be the most profitable option for the Uruguayan dairy industry. However, it is unknown if their biophysical performance is attainable with voluntary milking systems (VMS), an alternative recently explored to make dairy more attractive to future generations. The aim of this study was to compare milk production (MP) of two pasture-based production systems: a conventional milking system (CMS), where cow flow is forced, and a VMS, where cow flow is voluntary.

Residual feed intake (RFI) has become in a widely spread index of feed efficiency, however, although most of beef cattle systems in the world are pasture-based, RFI evaluation and research is usually performed in confinement conditions. Currently, selection in favor of feed efficiency has an unclear effect on reproductive performance of grazing beef heifers.

Cow-calf grazing systems are the main economic and social activity at Campos grassland, a biodiversity hotspot and ecosystem service provider. However, low reproductive, productive and economic results have triggered these systems sustainability for decades. Low results have been explained mainly by lack of grazing management (overgrazing) and low cow energy intake for calf production.

Cow-calf grazing systems are the main economic and social activity at Campos grassland, a biodiversity hotspot and ecosystem service provider. However, low reproductive, productive and economic results have triggered these systems sustainability for decades. Low results have been explained mainly by lack of grazing management (overgrazing) and low cow energy intake for calf production.

RESUMEN.- El fuego es uno de los eventos destructivos más frecuentes y el principal causante de alteraciones en el funcionamiento de los ecosistemas. Los objetivos de este trabajo fueron:1) identificar el área afectada por incendios ocurridos en la provincia de Córdoba, Argentina, entre agosto y septiembre de 2020, 2) analizar su impacto sobre cuatro variables ecosistémicas:la productividad primaria neta aérea (PPNA), la evapotranspiración (ET), el albedo y la temperatura superficial (LST), y 3) identificar áreas prioritarias para su restauración mediante un análisis multicriterio.

Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR.

ABSTRACT.- Grain mold and stalk rot are among the fungal diseases that cause significant losses in sorghum worldwide and are caused by different Fusarium spp. The presence of Fusarium species in sorghum grains causes yield losses and mycotoxin contamination, which represents a risk to consumers. In this study, Fusarium graminearum species complex (FGSC) had a high incidence, followed by Fusarium fujikuroi species complex (FFSC) and F. incarnatum-equiseti species complex. Within FFSC, F. proliferatum, F. andiyazi, F. fujikuroi, F. thapsinum, F. verticillioides and F.

ABSTRACT.- Soybean stem canker (SSC) caused by the fungal pathogen Diaporthe caulivora is an important disease affecting soybean production worldwide. However, limited information related to the molecular mechanisms underlying soybean resistance to Diaporthe species is available. In the present work, we analyzed the defense responses to D. caulivora in the soybean genotypes Williams and Génesis 5601.

Context:In beef cattle populations, there is little evidence regarding the minimum number of genetic markers needed to obtain reliable genomic prediction and imputed genotypes. Aims:This study aimed to evaluate the impact of single nucleotide polymorphism (SNP) marker density and minor allele frequency (MAF), on genomic predictions and imputation performance for high and low heritability traits using the single-step genomic Best Linear Unbiased Prediction methodology (ssGBLUP) in a simulated beef cattle population. © 2023 The Author(s) (or their employer(s)).