Respostas fisiológicas e enzimáticas no milho sob diferentes concentrações de nitrogênio

The study of chemical and biochemical aspects associated with the development of different plant parts enables the assessment of a series of reactions leading to the production of biomass and grain culture. Thus, the objective of was to study the difference in nitrogen efficiency in roots and shoots of two corn genotypes in the initial stages of plants growth, and evaluate the biochemical and physiological responses of these organs, when plants are subjected to different doses of N, under hydroponic conditions. The experiment was conducted in a greenhouse in nutrient solution for 20 days, with two genotypes (AS1522 and AS1596) subjected to four N concentrations (zero, 112, 224 and 448 mg dm-3). Completely randomized desing with three replications das apply. The major differences among genotypes for biometric variables, dry matter, N accumulation and free amino acids were observed in the shoots. At root, the activity of nitrate reductase activity was the variable that stood out and provided the largest differences between genotypes. The genotype AS1596 is more efficient in N utilization.O estudo de aspectos químicos e bioquímicos associados ao desenvolvimento das diferentes partes das plantas permite a observação e o entendimento de uma série de reações que levam à produção de fitomassa e grãos pela cultura de milho. Assim, objetivou-se estudar a diferença na eficiência de uso do nitrogênio nas raízes e parte aérea em dois genótipos de milho, na fase inicial de crescimento das plantas e avaliar as respostas bioquímico-fisiológicas desses órgãos quando as plantas são submetidas a distintas doses de N em condições hidropônicas. O experimento foi realizado em casa de vegetação, em solução nutritiva por 20 dias, com dois genótipos (AS1522 e AS1596) submetidos a quatro concentrações de N (zero; 112; 224 e 448 mg dm-3). O delineamento utilizado foi em inteiramente casualizado com três repetições. Houve diferença entre os genótipos estudados para as variáveis biométricas, massa de matéria seca, acúmulo de N e aminoácidos livres totais na parte aérea das plantas. Na raiz, a atividade da redutase do nitrato foi a variável que diferenciou a eficiência no uso do nitrogênio entre os genótipos. O genótipo AS1596 é mais eficiente no uso do nitrogênio

Caule decomposto de babaçu (Attlea speciosa Mart.) como substrato para produção de mudas de melancieira

No sistema de produção de plantas, incluindo a melancia, o substrato tem importância considerada no desenvolvimento de mudas, que vai influenciar não só na germinação, mas em um aumento considerável na produção. Por esta razão com o presente trabalho objetivou-se avaliar a utilização do caule decomposto de babaçu como substrato na produção de mudas de melancieira, cultivar Crimson Sweet. O experimento foi conduzido no Centro de Ciências Agrárias e Ambientais (CCAA), da Universidade Federal do Maranhão (UFMA). Foi adotado um delineamento inteiramente casualizado, com seis tratamentos de substratos a base de caule decomposto de babaçu (CDB), nas seguintes proporções: T1- 100% de substrato comercial; T2- 20% de CDB + 80% de Solo; T3- 40% de CDB + 60% de Solo; T4- 60% de CDB + 40% de Solo; T5- 80% de CDB + 20% de Solo; T6- 100% de CDB, foram realizadas quatro repetições, com 12 mudas por parcela. Não foi averiguado efeito significativo para o porcentual de emergência, índice de velocidade de emergência, índice de qualidade de Dickson, volume e massa seca do sistema radicular, enquanto para o número de folhas, altura da planta, diâmetro do caule, massa seca da parte aérea e comprimento radicular, registrou-se diferença significativa entre as diferentes composições de CDB e o substrato comercial. O caule decomposto com 100% de babaçu apresentou resultados semelhantes ao substrato comercial, e portanto, pode ser utilizado como substrato para a produção de mudas de melancieira, em função do ótimo desempenho das mudas, fácil obtenção e baixo custo

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Time of contact of phosphate fertilizer with Megathyrsus maximus (cv. Massai) seeds in relation to germination and growth

The aim of this research was to evaluate the effect of the contact time of simple superphosphate fertilizer with Massai grass (Megathyrsus maximus) seeds on the physiological quality of the seeds. The experiment was conducted with seeds of Massai grass in two conditions: laboratory and field. The experiment was carried out in Teresina, Piauí, Brazil. The experimental design was completely randomized, with three replicates for both conditions. The treatments consisted of seven contact times: 0, 3, 6, 9, 24, 48, and 72 h. Germination (GP) and emergence (EP) percentages, seedling height (SH), root length (RL), and germination speed index (GSI) were evaluated. The contact time of the fertilizer with the seeds had a significant effect on all variables, except root length and emergence at 7 d. For GP in the second data collection and GSI, there were no differences up to 3 h of contact; however, for GP in the first collection, SH and GSI at 21 d, the contact of seeds with fertilizer for 3 h already had negative effects on these variables, reducing them by 23.33%, 12.13 cm and 14.28% respectively. The longer the contact time between single superphosphate with M. maximus (cv. Massai) seeds, the lower the germination and vigor values