Vegetação natural e área antrópica em Mato Grosso do Sul até o ano de 2002.

O Estado do Mato Grosso do Sul está localizado na região Centro-oeste do país e sua economia é baseada na pecuária de corte. Ele abrange três importantes biomas brasileiros: Cerrado, Mata Atlântica e Pantanal e as bacias hidrográfcas dos rios Paraguai e Paraná. Portanto, o uso de informações sobre o uso da terra e remanescentes da vegetação é importante para embasar a formulação de políticas públicas pelos órgãos governamentais. Nesse sentido, este trabalho objetiva mostrar os principais tipos de uso da terra e de vegetação natural do Estado para o ano de 2002. Com o uso do SIG Spring e mapas existentes, foi elaborado o mapa da cobertura vegetal e uso da terra para Mato Grosso do Sul em 2002. Verifca-se que em mais da metade do Estado a vegetação natural já foi substituída por pastagem, agricultura ou reforestamento. Os biomas Cerrado e Mata Atlântica foram os que mais perderam suas áreas naturais, enquanto o Pantanal é o mais intacto, com aproximadamente 90% de sua área conservada. Em função disso a bacia do rio Paraguai é bem mais conservada que a bacia do Paraná, pois esta possui em torno de 67% de sua área desmatada. Diante desse quadro medidas urgentes para inibição do desmatamento no Estado devem ser implementadas, a fm de minimizar as perdas ambientais e buscar o desenvolvimento sustentável.Geopantanal 2010

Utilização de imagens pancromáticas do satélite IKONOS-II na identificação de plantios de café.

O objetivo do trabalho foi avaliar o impacto do aumento da resolução espacial e radiométrica de imagens do IKONOS-II na identificação de plantios de café (Coffea arabica) em comparação com as imagens do LANDSAT/ETM+

Monitoramento de estiagem durante o verão de regiões tropicais utilizando imagens AVHRR/NOAA-14.

No presente trabalho, objetivou-se estudar a influência da precipitação na evolução dos índices de vegetação Ratio e NDVI, visando determinar o parâmetro mais adequado para ser utilizado no monitoramento de estiagem

Mitigation of nitrous oxide emissions in grazing systems through nitrification inhibitors: a meta-analysis

Grasslands are the largest contributor of nitrous oxide (N2O) emissions in the agriculture sector due to livestock excreta and nitrogen fertilizers applied to the soil. Nitrification inhibitors (NIs) added to N input have reduced N2O emissions, but can show a range of efficiencies depending on climate, soil, and management conditions. A meta-analysis study was conducted to investigate the factors that influence the efficiency of NIs added to fertilizer and excreta in reducing N2O emissions, focused on grazing systems. Data from peer-reviewed studies comprising 2164 N2O emission factors (EFs) of N inputs with and without NIs addition were compared. The N2O EFs varied according to N source (0.0001-8.25%). Overall, NIs reduced the N2O EF from N addition by 56.6% (51.1-61.5%), with no difference between NI types (Dicyandiamide-DCD; 3,4-Dimethylpyrazole phosphate-DMPP; and Nitrapyrin) or N source (urine, dung, slurry, and fertilizer). The NIs were more efficient in situations of high N2O emissions compared with low; the reduction was 66.0% when EF > 1.5% of N applied compared with 51.9% when EF 10 kg ha(-1). NIs were less efficient in urine with lower N content (<= 7 g kg(-1)). NI efficiency was negatively correlated with soil bulk density, and positively correlated with soil moisture and temperature. Better understanding and management of NIs can optimize N2O mitigation in grazing systems, e.g., by mapping N2O risk and applying NI at variable rate, contributing to improved livestock sustainability

Mitigation of nitrous oxide emissions in grazing systems through nitrifcation inhibitors: a meta‑analysis

Grasslands are the largest contributor of nitrous oxide (N2O) emissions in the agriculture sector due to livestock excreta and nitrogen fertilizers applied to the soil. Nitrification inhibitors (NIs) added to N input have reduced N2O emissions, but can show a range of efficiencies depending on climate, soil, and management conditions. A meta-analysis study was conducted to investigate the factors that influence the efficiency of NIs added to fertilizer and excreta in reducing N2O emissions, focused on grazing systems. Data from peer-reviewed studies comprising 2164 N2O emission factors (EFs) of N inputs with and without NIs addition were compared. The N2O EFs varied according to N source (0.0001–8.25%). Overall, NIs reduced the N2O EF from N addition by 56.6% (51.1–61.5%), with no difference between NI types (Dicyandiamide—DCD; 3,4-Dimethylpyrazole phosphate—DMPP; and Nitrapyrin) or N source (urine, dung, slurry, and fertilizer). The NIs were more efficient in situations of high N2O emissions compared with low; the reduction was 66.0% when EF>1.5% of N applied compared with 51.9% when EF≤0.5%. DCD was more efficient when applied at rates>10 kg ha−1. NIs were less efficient in urine with lower N content (≤7 g kg−1). NI efficiency was negatively correlated with soil bulk density, and positively correlated with soil moisture and temperature. Better understanding and management of NIs can optimize N2O mitigation in grazing systems, e.g., by mapping N2O risk and applying NI at variable rate, contributing to improved livestock sustainabilit

Expression of targets of the RNA-binding protein AUF-1 in human airway epithelium indicates its role in cellular senescence and inflammation

INTRODUCTION: The RNA-binding protein AU-rich-element factor-1 (AUF-1) participates to posttranscriptional regulation of genes involved in inflammation and cellular senescence, two pathogenic mechanisms of chronic obstructive pulmonary disease (COPD). Decreased AUF-1 expression was described in bronchiolar epithelium of COPD patients versus controls and in vitro cytokine- and cigarette smoke-challenged human airway epithelial cells, prompting the identification of epithelial AUF-1-targeted transcripts and function, and investigation on the mechanism of its loss. RESULTS: RNA immunoprecipitation-sequencing (RIP-Seq) identified, in the human airway epithelial cell line BEAS-2B, 494 AUF-1-bound mRNAs enriched in their 3'-untranslated regions for a Guanine-Cytosine (GC)-rich binding motif. AUF-1 association with selected transcripts and with a synthetic GC-rich motif were validated by biotin pulldown. AUF-1-targets' steady-state levels were equally affected by partial or near-total AUF-1 loss induced by cytomix (TNFα/IL1β/IFNγ/10 nM each) and siRNA, respectively, with differential transcript decay rates. Cytomix-mediated decrease in AUF-1 levels in BEAS-2B and primary human small-airways epithelium (HSAEC) was replicated by treatment with the senescence- inducer compound etoposide and associated with readouts of cell-cycle arrest, increase in lysosomal damage and senescence-associated secretory phenotype (SASP) factors, and with AUF-1 transfer in extracellular vesicles, detected by transmission electron microscopy and immunoblotting. Extensive in-silico and genome ontology analysis found, consistent with AUF-1 functions, enriched RIP-Seq-derived AUF-1-targets in COPD-related pathways involved in inflammation, senescence, gene regulation and also in the public SASP proteome atlas; AUF-1 target signature was also significantly represented in multiple transcriptomic COPD databases generated from primary HSAEC, from lung tissue and from single-cell RNA-sequencing, displaying a predominant downregulation of expression. DISCUSSION: Loss of intracellular AUF-1 may alter posttranscriptional regulation of targets particularly relevant for protection of genomic integrity and gene regulation, thus concurring to airway epithelial inflammatory responses related to oxidative stress and accelerated aging. Exosomal-associated AUF-1 may in turn preserve bound RNA targets and sustain their function, participating to spreading of inflammation and senescence to neighbouring cells

Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model.

ABSTRACT. Integrated Crop-Livestock Systems (ICLS) are being considered to improve food production sustainability and are of increasing interest to the modelling community worldwide. Our goal was to evaluate the ability of an agroecosystem model simulator (ECOSMOS) to predict plant growth and yield, and water dynamics in an ICLS in the Western region of São Paulo State, Brazil. Four fields of approximately 50 ha each were monitored after the implementation of the ICLS at the end of 2018. Soybean yields (two seasons), mixed-pasture aboveground dry biomass and soil water content (for the pasture only) measurements were contrasted with predictions from ECOSMOS with recently implemented soybean and pasture sub-models. Preliminary results from a generic simulation for the whole farm showed that the model was able to capture fairly well the seasonal variation in growth and water dynamics. Such results suggest that the existing knowledge and modelling approaches embedded in the model are robust. Future steps toward modelling the ICLS will involve to parameterise the model for Brazilian cultivars of the system using data from controlled/manipulative experiments, develop a framework to simulate two plants concomitantly, and then assess its capability to predict environmental variables of interest, such as carbon dynamics.WCCLF 2021. Evento online

Allelic HLA Matching and Pair Origin Are Favorable Prognostic Factors for Unrelated Hematopoietic Stem Cell Transplantation in Neoplastic Hematologic Diseases: An Italian Analysis by the Gruppo Italiano Trapianto di Cellule Staminali e Terapie Cellulari, Italian Bone Marrow Donor Registry, and Associazione Italiana di Immunogenetica e Biologia dei Trapianti

HLA molecules are important for immunoreactivity in allogeneic hematopoietic stem cell transplantation (HSCT). The Gruppo Italiano Trapianto di Cellule Staminali e Terapie Cellulari, Italian Bone Marrow Donor Registry, and Associazione Italiana di Immunogenetica e Biologia dei Trapianti promoted a retrospective observational study to evaluate HLA matching and the impact of allelic HLA mismatching and non-HLA factors on unrelated Italian HSCT outcomes. From 2012 to 2015, 1788 patients were enrolled in the study. The average donor age was 29 years and the average recipient age was 49 years. As a conditioning regimen, 71% of the patients received myeloablative conditioning. For GVHD prophylaxis, 76% received either antithymocyte or anti-T lymphocyte globulin, cyclosporine A, and methotrexate. Peripheral blood was the stem cell source in 80%. The median duration of follow-up was 53 months. Regarding HLA matching, 50% of donor-recipient pairs were 10/10 matched, 38% had 1 mismatch, and 12% had 2 or more mismatches. A total of 302 pairs shared Italian origin. Four-year overall survival (OS), progression-free survival, GVHD-free relapse-free survival, and relapse rates were 49%, 40%, 22%, and 34%, respectively. The 4-year NRM was 27%, and the 100-day cumulative incidence of grade 65II acute GVHD (aGVHD) was 26%. In multivariate analysis, 9/10 and 648/10 HLA allele-matched pairs were associated with worse OS (P = .04 and .007, respectively), NRM (P = .007 and P < .0001, respectively), and grade III-IV aGVHD (P = .0001 and .01, respectively). Moreover, the incidences of grade II-IV aGVHD (P = .001) and chronic GVHD (P = .002) were significantly lower in Italian pairs. In conclusion, 10/10 HLA matching is a favorable prognostic factor for unrelated HSCT outcome in the Italian population. Moreover, the presence of 2 HLA-mismatched loci was associated with a higher NRM (P < .0001) and grade II-IV aGVHD (P = .006) and a poorer OS (P = .001) compared with 1 HLA-mismatched locus in early or intermediate disease phases. Finally, we found that Italian donor and recipient origin is a favorable prognostic factor for GVHD occurrence

Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model.

Abstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS.Article 3517