A IMPORTÂNCIA DA AGRICULTURA PARA A SOCIEDADE: breve revisão de literatura

Introdução: A agricultura é de extrema importância para toda a sociedade, pois é através dela que se produzem os alimentos, sendo a base da economia mundial. Existem vários tipos e formas de agricultura, dentre elas destaca-se a agricultura familiar que vem ganhando espaço no mercado, a mesma engloba grande parte dos estabelecimentos rurais. A prática da agricultura familiar ajuda na economia local e no sustento das famílias. Os avanços tecnológicos na área da agricultura têm ajudado os agricultores no desenvolvimento, porém, tendo em vista a necessidade de altos investimentos muitos agricultores não conseguem acompanhar o mercado, isso faz com que exista um grande desequilíbrio estrutural entre eles. Objetivo: Compreender os motivos pelo qual a agricultura familiar não possui maior crescimento, e discutir sobre as soluções voltadas ao apoio social e incentivo financeiro. Metodologia: O trabalho foi desenvolvido através de uma pesquisa bibliográfica integrativa nas bases de dados Google Scholar, Scielo, Biblioteca virtual, dissertações e teses, com as palavras chave: “agricultura”, “incentivos rurais” e “inovação”. Considerações: Vários processos impedem o crescimento da agricultura familiar no Brasil, dentre eles destaca-se o processo de inovação que tem sido cada vez mais acelerado, dificultando o acompanhamento por parte dos agricultores de menor porte. A falta de incentivos por parte do governo e instituições agrícolas, acaba impedindo o crescimento dos agricultores pequenos. Portanto, percebe-se a necessidade de incentivos das instituições e do governo para que a agricultura familiar aumente o seu crescimento, como menores taxas e porcentagens de juros nos empréstimos, que estimulem o agricultor nos seus projetos, aumentando sua participação e mais influência no mercado agrícola e na sociedade. A utilização de métodos organizacionais, que colaboram para o aumento da economia e aprimoramento dos processos agrícolas, bem como a implantação de inovação de processos, auxiliam no aumento da produção e consequentemente no ganho produtivo e econômico do país. Sendo assim, tais medidas podem gradativamente aumentar o desenvolvimento da agricultura familiar no país

Effects of Andiroba oil (Carapa guianensis) on wound healing in alloxan-diabetic rats

Purpose: To evaluate wound healing in diabetic rats by using topic Andiroba oil (Carapa guianensis). Methods: Six male, adult, Wistar rats were distributed into three groups: Sham group (wound treatment with distilled water); Collagenase group (treatment with collagenase ointment); and Andiroba group (wound treatment with Andiroba oil). The wound was evaluated considering the macroscopic and microscopic parameters. Results: The results indicated differences in the healing of incisional wounds between treatments when compared to control group. Accelerated wound healing was observed in the group treated with Andiroba oil and Collagenase in comparison to control group, especially after the 14th day. Morphometric data confirmed the structural findings. Conclusion: There was significant effect in topical application of Andiroba oil on wound healing in rats with induced diabetes.   Keywords: Medicinal plants. Diabetes Mellitus. Wound healing. Rats

Muscle protein metabolism in neonatal alloxan-administered rats: effects of continuous and intermittent swimming training

<p>Abstract</p> <p>Background</p> <p>This study aimed to examine the effects of intermittent and continuous swimming training on muscle protein metabolism in neonatal alloxan-administered rats.</p> <p>Methods</p> <p>Wistar rats were used and divided into six groups: sedentary alloxan (SA), sedentary control (SC), continuous trained alloxan (CA), intermittent trained alloxan (IA), continuous trained control (CC) and intermittent trained control (IC). Alloxan (250 mg/kg body weight) was injected into newborn rats at 6 days of age. The continuous training protocol consisted of 12 weeks of swimming training in individual cylinder tanks while supporting a load that was 5% of body weight; uninterrupted swimming for 1 h/day, five days a week. The intermittent training protocol consisted of 12 weeks of swimming training in individual cylinder tanks while supporting a load that was 15% of body weight; 30 s of activity interrupted by 30 s of rest for a total of 20 min/day, five days a week.</p> <p>Results</p> <p>At 28 days, the alloxan animals displayed higher glycemia after glucose overload than the control animals. No differences in insulinemia among the groups were detected. At 120 days, no differences in serum albumin and total protein among the groups were observed. Compared to the other groups, DNA concentrations were higher in the alloxan animals that were subjected to continuous training, whereas the DNA/protein ratio was higher in the alloxan animals that were subjected to intermittent training.</p> <p>Conclusion</p> <p>It was concluded that continuous and intermittent training sessions were effective in altering muscle growth by hyperplasia and hypertrophy, respectively, in alloxan-administered animals.</p

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