Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Dermatofilose em bezerros da raça Nelore no Mato Grosso do Sul

The objective of this study was to describe two outbreaks of dermatophilosis in Nelore calves in the State of Mato Grosso do Sul with epidemiological characteristics peculiar to the Midwest. Morbidity and mortality rates were 50% and 0.0025% in the outbreak 1, and 12.5% and 10% in the outbreak 2, respectively. Only Nelore calves aging between 5 and 60 days were affected. Most cases occurred on pastures of Brachiaria brizantha during the rainy season. In both outbreaks, the signs started with skin thickening followed by weeping and crusting around the eyes and muzzle. In more severe cases, lesions disseminated throughout the face and the body, evolving to generalized marked thickening of the skin and wrinkling. Histology of skin lesions showed suppurative dermatitis and hyperkeratosis. The diagnosis was confirmed by viewing basophilic filamentous structures morphologically consistent with Dermatophilus congolensis in Gram stained smears. The treatment with streptomycin, oxytetracycline or penicillin associated with streptomycin used in calves demonstrated to be effective. The disease has been misdiagnosed, by the farmers, with hepatic photosensitization caused by Brachiaria spp. ingestion. This article discusses these results with the aim to help in the correct diagnosis of dermatophilosis, which is important to achieve the adequate treatment and effective control measures to minimize the losses caused by this disease.O objetivo deste trabalho foi descrever dois surtos de dermatofilose em bezerros da raça Nelore no Estado de Mato Grosso do Sul com características epidemiológicas peculiares à região Centro-Oeste. As taxas de morbidade e letalidade foram de 50% e 0,0025% no surto 1 e, 12,5% e 10% no surto 2, respectivamente. Apenas bezerros da raça Nelore com idade entre 5 e 60 dias foram afetados. A maioria dos casos ocorreu em pastagens de Brachiaria brizantha durante o período chuvoso do ano. Nos dois surtos, os sinais se iniciavam com espessamento da pele, seguido por lacrimejamento e formação de crostas ao redor dos olhos e focinho. Nos casos mais graves, as lesões disseminavam-se pela face e por todo o corpo, evoluindo para acentuado espessamento generalizado da pele, com formação de dobras. As lesões de pele caracterizaram-se, histopatologicamente, por dermatite supurativa e hiperqueratose. O diagnóstico foi confirmado pela visualização de estruturas basofílicas filamentosas morfologicamente compatíveis com Dermatophilus congolensis em esfregaços corados por Gram. Os tratamentos com estreptomicina, oxitetraciclina ou penicilina associada à estreptomicina utilizados nos bezerros demonstraram ser eficientes. A doença foi confundida pelos produtores com fotossensibilização hepatógena causada por ingestão de Brachiaria spp. Este artigo discute estes resultados com vistas a auxiliar o diagnóstico correto da dermatofilose que é importante para a realização do tratamento adequado e de medidas de controle eficazes, minimizando as perdas causadas por esta doença.

In vitro fermentation characteristics of ruminant diets using ethanol extract of brown propolis as a nutritional additive

The addition of levels of ethanol extract of brown propolis was evaluated by assessing diet degradation in rumen fluid and predicting cumulative in vitro gas production by nonlinear (dual pool logistic and exponential) models. A total of 35 g of crude propolis were extracted in 65 mL of cereal alcohol (95% ethanol). In a completely randomized factorial design, the experimental diets combined four concentrations of extracted propolis diluted in cereal alcohol (0, 50, 70, and 100% of propolis extract) and supplementation doses (4, 8, 12, 16, and 20 mL/kg dry matter), tested in triplicate. Diet (400 g/kg Tifton hay and 600 g/kg concentrate) was incubated for 96 h carried out three times in three different weeks. There was significant interaction between extract concentration and dose on the dry matter (DM) degradability. Dry matter degradability of diet decreased exponentially as a function of the increase in dose (y = 678.55×dose–0.271). Pure alcohol treatment showed a negative exponential effect, with degradability of 303.61 g/kg when administered at a dose of 20 mL/kg DM. Treatment 100% ethanol extract reached the greatest degradability, estimated at 18.93 mL/kg DM. The treatment with 70% extract showed 6.35 mL/kg DM and the 50% extract, 7.65 mL/kg DM of minimum degradability. The reduction potential of pure ethanol was –0.32 mL gas/mL. Estimates of maximum gas production by dual pool logistic and exponential models were 13.10 mL and 12.07 mL for 100% extract, respectively. The 100% extract produced the highest gas production estimates, above 30 mL gas/100 mg DM of fermented diet. The degradation and fermentation of ruminant diet can be improved using 13 mL/DM kg of ethanol extract of propolis

Effects of platelet-rich plasma gel on skin healing in surgical wound in horses Efeitos do gel de plasma rico em plaquetas na cicatrização de feridas cirúrgicas na pele de cavalos

PURPOSE: To establish a low-cost method to prepare platelet-rich plasma (PRP) and evaluates the potential of platelet derived factors to enhance wound healing in the surgical wounds in equine. METHODS: To obtain a PRP gel, calcium gluconate and autologous thrombin were added to platelet-rich plasma. For the tests six saddle horses were used and two surgical incisions were made in each animal. Wounds were treated with PRP gel or untreated. Sequential wound biopsies collected at Treatment 1: at days 5 and 30 and Treatment 2: at days 15 and 45 post wounding permitted comparison of differentiation markers and wound repair. RESULTS: The optimal platelets enrichment over 4.0 time's baseline values was obtained using 300 g for 10 min on the first centrifugation and 640 g for 10 min on the second centrifugation. CONCLUSION: Wounds treated with PRP gel exhibit more rapid epithelial differentiation and enhanced organization of dermal collagen compared to controls in equine<br>OBJETIVO: Estabelecer um método econômico na preparação de plasma rico em plaquetas (PRP) e avaliar se os fatores derivados destas plaquetas aceleram a cicatrização de feridas cirúrgicas em cavalos. MÉTODOS: Gluconato de cálcio e trombina autógena foram adicionados ao PRP para a obtenção do gel de PRP. Foram usados seis cavalos de sela, cada um dos quais sofreu duas incisões cirúrgicas. Uma destas incisões foi tratada com gel de PRP e a outra suturada de maneira tradicional (controle). A biópsia das feridas foi coletada de maneira seqüencial; Tratamento 1. nos dias 5 e 30 e Tratamento 2. nos dias 15 e 45 do período pós-operatório permitindo uma comparação na diferenciação epitelial e no reparo das feridas. RESULTADOS: O enriquecimento das plaquetas obtido através de uma primeira centrifugação usando 300 g por 10 minutos e uma segunda 640 g por 10 minutos acelerou quatro vezes a reparação tecidual em relação ao controle. CONCLUSÃO: As feridas tratadas com gel de PRP apresentaram uma mais rápida diferenciação epitelial e acelerou a organização do colágeno da derme comparado ao grupo controle em cavalos

In vitro fermentation characteristics of ruminant diets using ethanol extract of brown propolis as a nutritional additive

ABSTRACT The addition of levels of ethanol extract of brown propolis was evaluated by assessing diet degradation in rumen fluid and predicting cumulative in vitro gas production by nonlinear (dual pool logistic and exponential) models. A total of 35 g of crude propolis were extracted in 65 mL of cereal alcohol (95% ethanol). In a completely randomized factorial design, the experimental diets combined four concentrations of extracted propolis diluted in cereal alcohol (0, 50, 70, and 100% of propolis extract) and supplementation doses (4, 8, 12, 16, and 20 mL/kg dry matter), tested in triplicate. Diet (400 g/kg Tifton hay and 600 g/kg concentrate) was incubated for 96 h carried out three times in three different weeks. There was significant interaction between extract concentration and dose on the dry matter (DM) degradability. Dry matter degradability of diet decreased exponentially as a function of the increase in dose (y = 678.55×dose–0.271). Pure alcohol treatment showed a negative exponential effect, with degradability of 303.61 g/kg when administered at a dose of 20 mL/kg DM. Treatment 100% ethanol extract reached the greatest degradability, estimated at 18.93 mL/kg DM. The treatment with 70% extract showed 6.35 mL/kg DM and the 50% extract, 7.65 mL/kg DM of minimum degradability. The reduction potential of pure ethanol was –0.32 mL gas/mL. Estimates of maximum gas production by dual pool logistic and exponential models were 13.10 mL and 12.07 mL for 100% extract, respectively. The 100% extract produced the highest gas production estimates, above 30 mL gas/100 mg DM of fermented diet. The degradation and fermentation of ruminant diet can be improved using 13 mL/DM kg of ethanol extract of propolis