Avaliação de curvas de lactação de vacas gir de baixa produção: um enfoque Bayesiano - DOI: 10.4025/actascianimsci.v29i1.262

The Bayesian methodology was used to fit the Wood function for milkproduction of low-yielding Gir cows with five lactation length: shorter than 228 days (group 1), of 229 to 269 days (group 2), of 270 to 293 days (group 3), of 294 to 304 days (group 4) and longer than 305 days (group 5). The presented procedure provides preciseestimates for parameters of lactation curve and permitted a direct comparison betweenlactations curves by evaluation of HPD interval for marginal posterior density of thedifference between parameters. These results didn’t show significance, accomplishing thatthe lactation length doesn’t affect shape of curves.O método Bayesiano foi utilizado para ajustasr a função de Wood adados de produção de leite de vacas Gir de baixa produção divididas em cinco diferentesgrupos de duração da lactação: menos que 228 dias (grupo 1), de 229 a 269 dias (grupo 2),de 270 a 293 dias (grupo 3), de 294 a 304 dias (grupo 4) and mais que 305 dias (grupo 5). Ométodo utilizado proporcionou estimativas precisas e possibilitou uma comparação diretaentre curvas de lactação provenientes dos diferentes grupos por meio da avaliação dosintervalos HPD´s. Os resultados mostraram que não existem diferenças entre as curvas emrelação à duração da lactação

Estudo das curvas de crescimento de cordeiros das raças santa inês e bergamácia considerando heterogeneidade de variâncias Growth functions of Santa Inês and Bergamacy lambs considering heteroscedastic variance

Funções de crescimento não-lineares foram ajustados a dados de peso-idade de 40 cordeiros das raças Santa Inês e Bergamácia. Pelos testes de Hartley e de Bartlett, verificou-se que os dados apresentavam heterogeneidade de variâncias; em função disso, ajustaram-se as funções de crescimento pelo método dos quadrados mínimos ponderado pelo inverso da variância dos pesos a cada pesagem utilizando a opção WEIGTH do PROC MODEL (SAS INSTITUTE, 1996). As funções de crescimento foram comparadas pela interpretação biológica dos parâmetros e pelos indicadores de qualidade do ajuste (coeficiente de determinação ajustado, quadrado médio do resíduo e teste de Durbin-Watson). As funções de von Bertalanffy e Gompertz apresentaram a melhor qualidade de ajuste, ao passo que as funções de Richards, Logística e Brody não se mostraram adequadas para descrever o crescimento dos animais por apresentarem estimativas não condizentes com a realidade.Non linear growth functions were fitted to weight-age data of 40 Santa Inês and Bergamacy lambs. The Hartley and Bartlett tests indicated that the data presented heteroscedastic variance, so the growth functions were fitted through weighted minimum square method by the inverse variance weight in each sampler using the WEIGHT option in PROC MODEL (SAS INSTITUTE, 1996). The functions were compared using the biological interpretation of the parameters and the quality indicators of fit (adjusted determination coefficient, mean square error and Durbin-Watson test). The von Bertalanffy and Gompertz functions provided the best fittings, whereas Richards, Logistic and Brody functions turned out not to be suitable for describing growth behavior, became estimates based on them do not agree with observation

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora