EFEITO DO TIPO DE ORDENHA E DO AMBIENTE SOBRE A QUALIDADE DO LEITE CRU COM BASE NA CONTAGEM DE CÉLULAS SOMÁTICAS

Objetivou-se avaliar o efeito do tipo de ordenha e de ambiente na qualidade do leite cru por meio da identificação da Contagem de Células Somáticas - CCS nas amostras obtidas das propriedades rurais da mesorregião do sul goiano e correlacioná-la com diferentes tipos de ordenha, bem como com os componentes do leite e o período do ano. A pesquisa desenvolveu-se em 229 fazendas associadas à Cooperativa de Catalão, divididas por tipo de ordenha: manual e mecânica. Em cada propriedade foi coletada amostra mensal no tanque de expansão, no total de 8244 amostras. A ordenha mecânica obteve maior número de amostras com CCS > 500.000 células/mL. Existiu correlação positiva entre CCS e teor de gordura e sólidos totais - ST, porém houve uma correlação negativa entre CCS e teores de proteína e lactose. No período da chuva tem-se uma elevação de CCS se comparado ao período da seca, e com a elevação do Índice de Temperatura e Umidade - ITU ocorreu uma redução nos teores de gordura e ST. Pode-se concluir que a ordenha manual mostrou-se mais viável para obtenção do leite com parâmetros de CCS exigidos pela legislação e que CCS e componentes do leite sofrem interferência da época do ano.Palavras-chave: índices ambientais; mastite subclínica; ordenha manual; ordenha mecânica

Comparação de dois métodos de aplicação de inseticida no controle de cascudinho em aviários comerciais

The lesser mealworm control is mostly made by insecticides, as the association of chlorpyrifos, cypermethrin and citronellal. The traditional insecticide application method (TRADM) depends on many liters of water and, with the objective of reducing water consumption, the aim was to compare TRADM with atomizer-equipment method (ATOMM). Four and three houses from farm A and B were used, respectively. Houses 1, 3 and 7 were treated with TRADM (1 liter of insecticide diluted in 500 liters of water) and houses 2, 4, 5 and 6 with ATOMM (1 liter of insecticide diluted in 9 liters of water). Twenty-four hours before and 30 (for farm A) and 45 days (for farm B) after the insecticide application, the number of insects was counted in each house (using 18 mapped traps/house). Farms were not considered different (p>0.05) and comparison was made between the houses. Houses were different (p<0.001) in the pre-treatment count, but they were equal in the second count (p=0.97). The insecticide application increased the number of traps without any insect (p<0.0001). In conclusion, the application method of chlorpyrifos, cypermethrin, and citronellal insecticide using atomizer equipment presented similar results than using the traditional application method. Both methods were effective in reducing the infestation of all houses, not making any difference if the dilution of the product was in 500 liters or in 9 liters of water; thus, it is possible to spend less water to run this management.O controle do cascudinho é realizado principalmente por inseticidas, como a associação entre clorpirifos, cipermetrina e citronelal. O método tradicional de aplicação do inseticida (TRADM) depende de grande volume de água para a diluição e, visando à redução do uso de água, o estudo objetivou comparar TRADM com o método utilizando atomizador (ATOMM). Quatro galpões da propriedade A e três da B foram utilizados. Os galpões 1, 3 e 7 foram tratados com TRADM (1 litro inseticida:500 litros de água) e os galpões 2, 4, 5 e 6 tratados utilizando ATOMM (1 litro de inseticida:9 litros de água). Vinte e quatro horas antes e 30 (para A) e 45 dias (para B) após a aplicação foi realizada a contagem de cascudinhos em cada galpão (18 iscas mapeadas/galpão). Não houve diferença (p>0,05) entre as propriedades e os galpões foram considerados nas comparações. Estes diferiram quanto à contagem pré-tratamento (p<0,001), mas não diferiram na contagem pós-tratamento (p=0,97). A aplicação do inseticida aumentou o número de iscas sem insetos (p<0,0001). Concluindo, a aplicação do inseticida a base de clorpirifos, cipermetrina e citronelal usando atomizador apresentou resultado semelhante ao do método tradicional. Ambos os métodos são efetivos para reduzir a infestação de todos os galpões, não fazendo diferença se a diluição do produto foi realizada em 500 ou 9 litros de água; dessa forma, é possível gastar menor quantidade de água para realizar esse manejo

Oral Route Driven Acute Trypanosoma cruzi Infection Unravels an IL-6 Dependent Hemostatic Derangement

Oral transmission of Trypanosoma cruzi, the etiologic agent of Chagas disease, is presently the most important route of infection in Brazilian Amazon. Other South American countries have also reported outbreaks of acute Chagas disease associated with food consumption. A conspicuous feature of this route of transmission is presenting symptoms such as facial and lower limbs edema, in some cases bleeding manifestations and risk of thromboembolism are evident. Notwithstanding, studies that address this route of infection are largely lacking regarding its pathogenesis and, more specifically, the crosstalk between immune and hemostatic systems. Here, BALB/c mice were orally infected with metacyclic trypomastigotes of T. cruzi Tulahuén strain and used to evaluate the cytokine response, primary and secondary hemostasis during acute T. cruzi infection. When compared with control uninfected animals, orally infected mice presented higher pro-inflammatory cytokine (TNF-α, IFN-γ, and IL-6) serum levels. The highest concentrations were obtained concomitantly to the increase of parasitemia, between 14 and 28 days post-infection (dpi). Blood counts in the oral infected group revealed concomitant leukocytosis and thrombocytopenia, the latter resulting in increased bleeding at 21 dpi. Hematological changes paralleled with prolonged activated partial thromboplastin time, Factor VIII consumption and increased D-dimer levels, suggest that oral T. cruzi infection relies on disseminated intravascular coagulation. Remarkably, blockade of the IL-6 receptor blunted hematological abnormalities, revealing a critical role of IL-6 in the course of oral infection. These results unravel that acute T. cruzi oral infection results in significant alterations in the hemostatic system and indicates the relevance of the crosstalk between inflammation and hemostasis in this parasitic disease

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