A comparative study of the occurence of anthracnose (Colletotrichum gloeosporioides) in cultivars of pepper (Piper nigrum L.) recently introduced in Porto Velho, state of Rondonia.

In an experiment carried out in an experimental area of EMBRAPA (Brazilian Agriculture Research Enterprise) UEPAE (Unit for Execution of Research) of Porto Velho, State of Rondonia, Brazil, located at km 5.5 of the BR-364 Highway, latitude 8°46'5"S, longitude 63°5' Greenwich and altitude 96.3m above sea level, evaluations were made of both the occurence of anthracnose caused by the fungus (Colletotrichum goeosporioides) in 5 cultivars of pepper (Piper nigrum L.) at the time of the first yield, 18 months after planting and of the leaves, correlating them with productivity of the cultivars. The results obtained led to the following conclusions: the cultivar Guajarina showed to be less susceptible to anthracnose and more resistant to fall of the leaves; the cultivars Bragantina, Cingapura and Djambi behaved similarly as to fall of the leaves; the cultivars Bragantina and Cingapura had the same behavior and were less susceptible to anthracnose when compared with cultivars Djambi and Belantung, while the cultivars Belantung showed to be more susceptible to anthracnose and less resistant to fall of the leaves.Em um experimento conduzido em área experimental da EMBRAPA, UEPAE de Porto Velho, Rondônia, localizado no km 5,5 da BR-364, com latitude sul 8º46'5", longitude 63°5' de Greenwich e altitude de 96,3 metros acima do nível do mar, avaliou - se em 5 cultivares de Pimenta - do - reino (Piper nigrum L.), por ocasião da primeira produção, 18 meses após plantio, a incidência da doença antracnose provocada pelo fungo Colletotrichum gloeosporioides e a porcentagem de desfolha das plantas, correlacionando-as com a produtividade dos cultivares. Os resultados obtidos permitiram concluir que: o cultivar Guajarina mostrou ser menos susceptível a antracnose e mais resistente a desfolha; os cultivares Bragantina, Cingapura e Djambi comportaram-se de maneira semelhante com relação a desfolha; os cultivares Bragantina e Cingapura, foram iguais entre si e menos susceptíveis com relação a antracnose quando comparados com os cultivares Djambi e Belantung, enquanto que o cultivar Belantung mostrou ser mais susceptível à antracnose e menos resistente a desfolha

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

Qualidade de grãos de milho armazenados em diferentes temperaturas

A temperatura de armazenamento é um dos principais fatores que interferem na qualidade de armazenamento e, considerando a pequena quantidade de trabalhos realizados com grãos de milho, este estudo objetivou avaliar a qualidade de grãos de milho armazenados nas temperaturas de 5, 15, 25 e 35 °C, durante 12 meses. Foram realizadas análises de classificação dos grãos, teor de água, peso de mil grãos, percentual de germinação, condutividade elétrica e teor de lipídios no início, aos 3, 6, 9 e 12 meses de armazenamento; a análise de perfil de ácidos graxos foi realizada no início e ao final dos 12 meses. Os grãos foram classificados como Tipo 1 até os 6 meses de armazenamento porém após este período ocorreu uma redução drástica na qualidade sendo enquadrados como abaixo do padrão na temperatura de 25 °C. Os resultados de teor de água, peso de mil grãos, germinação, condutividade elétrica e perfil de ácidos graxos indicaram que as maiores alterações foram observadas nos grãos armazenados nas temperaturas mais elevadas principalmente a 25 e 35 °C indicando que o tempo de armazenamento seguro dos grãos nessas condições é menor quando comparado ao armazenamento em temperaturas mais baixas