In family agriculture it is common for farmers to store seeds in their own homes, preserving the genetic material of their crops and ensuring their food security, but what has been observed are reductions of this practice in small farms. Thus, the objective of this work was to diagnose how the seeds are being stored by farmers to family farmers in the Municipality of Lagoa de Itaenga, as well as to evaluate the germination potentials of the seeds stored. The work was carried out in the community of Marrecos, in the rural area of Lagoa de Itaenga using a semi-structured questionnaire to collect the data, as well as the collection of accesses for the evaluation of germination potential. The study found that the conservation practices of seeds in the community are being reduced, where most farmers store corn seeds, but also renew their seeds every twelve months, conserving them in a natural environment, in which the Bottle and chilli pepper are the most used for the conservation of the genetic material. Most of the analyzed accesses had good germination percentages.
Participatory genetic improvement is a component of the management of genetic diversity, aiming at the systematic inclusion of farmers' knowledge, skills, experiences, practices and preferences. This modality of improvement is based on the knowledge of conventional genetics, physiology and economics, combined with those of anthropology, sociology, knowledge of the producers and with the principles of product development. The development of participatory strategies in the improvement of different crop species in the farmers field involves some fundamental aspects such as: rescue of different species and of different varieties within each species, valorization of local varieties, development of new varieties, valorization of cultural aspects and nutrition, agroecosystem management, agro-ecological crop systems, adaptation to the local environment with increased production from participatory improvement. Initially a search was made for communities in the forest area of Pernambuco, Brazil, which preserve, store and use native varieties. After the identification of the localities contemplated. The seeds were obtained in the municipality of Lagoa de Itaenga. The proposal was submitted to farmers living in the Marrecos community. At the same time, the importance of the conservation of local cultivars, the maintenance of the genetic identity of these genotypes, the importance of the isolation of the cultures, mainly the Creole ones and the practice of the participatory improvement were also treated. In addition, seed samples were collected and stored by the farmers, for later implantation of the germplasm bank (in vivo) at the Federal Institute of Pernambuco. At the time of collection, the forms of storage adopted by farmers were observed, being of great relevance for the guarantee of the genetic reserves of the crops. The experiments were conducted in a phyto-bacteriology laboratory and in a greenhouse of the Department of Agriculture of the Federal Institute of Pernambuco (IFPE) in Vitória de Santo Antão-PE. The plants were cultivated in the field in an organic cultivation system. The results showed that there is genetic divergence, based on agro-morphological markers, among fava varieties studied as a function of germplasm origin. Thus, samples from the Germplasm Collection of IFPE-Camps Vitoria correspond to different materials. The existence of genetic divergence among the varieties indicates the possibility of selection of superior genotypes. The evaluated characteristics present high potential to differentiate the genotypes and should serve as parameters for other studies.
This study aimed to compare the applicability of three methods of filling gaps in rainfall and temperature data from thirteen automatic weather stations (AWS) in the state of Pernambuco, from January to December 2019. The methods used were arithmetic mean, regional weighting, and simple linear regression. The data estimated by filling techniques have been subjected to comparison using R² and descriptive statistical analysis. The estimated data of air temperature presented R2 equal or very close to 1 for the three methods. On the other hand, the estimated data of rainfall showed values similar or closer to the real data only to regional weighting (R² = 1) and linear regression (R² = 0.99) methods. The smallest values of standard deviation (1.70) for temperature were obtained with linear regression. The regional weighting method and unfilled data showed greater uniformity for precipitation. The analyzed methods to estimate the climatic variables, air temperature, and precipitation, on a monthly scale, were efficient to fill in missing data in the evaluated AWS. The simple linear regression method is more efficient and adequate, followed by regional weighting, to fill in missing data in climate databases.
AVALIAÇÃO DE DESEMPENHO DO MICROASPERSOR EM LINHA LATERAL E SIMULAÇÃO MATEMÁTICA DE SEU GRADIENTE DE ENERGIA MADSON RAFAEL BARBALHO DA SILVA1; LÍVIA MARIA CAVALCANTE SILVA1; ANA CLÁUDIA DAVINO DOS SANTOS1; FABIANO SIMPLICIO BEZERRA1; CAIO SÉRGIO PEREIRA DE ARAÚJO1 E MANASSÉS MESQUITA DA SILVA1 1 Departamento de Engenharia Agrícola, Universidade Federal Rural de Pernambuco, Dom Manuel de Medeiros, s/n, Dois Irmãos, 52171-900, Recife, Pernambuco, Brasil. E-mail:madsonbarbalhoagronomo@gmail.com; cavalcants.livia@gmail.com; aclaudiadavino@gmail.com; fabianoagro14@gmail.com; caiosergio.ufersa@gmail.com; manasses.ufrpe@gmail.com. 1 RESUMO Objetivou-se avaliar o desempenho do microaspersor Agropolo modelo MC20 em diferentes condições hidráulicas, gerando informações para um melhor dimensionamento de sistemas de microirrigação e manejo da água em áreas irrigadas. A condução do projeto hidráulico para simulação do gradiente de energia em linhas laterais, considerou-se informações determinadas através da escolha de componentes do projeto. Foram extraídos do catálogo comercial do fabricante os pares de valores referentes a vazão e a pressão e, a partir destes, gerou-se a curva vazão-pressão, onde a simulação foi feita pelo Método Algébrico - Christiansen (MA) e Método Iterativo (SBS) – Back-Step. Para ambos métodos o microaspersor se comportou de maneira semelhante, quando submetido a condições sugeridas pelo fabricante, num espaçamento entre emissores de 5,2 m, usando tubos de polietilenos de diâmetro interno de 13 mm e uma pressão de serviço de 20 mca, admitindo uma variação de 10% da pressão. Foram calculados os coeficientes de uniformidade de pressão (CUp) e de vazão (CUq), ambos com valores superiores à 95%, demonstrando a excelência no desempenho do emissor. Palavras-chave: hidráulica, modelagem matemática, coeficiente de descarga. SILVA, M. R. B.; SILVA, L. M. C.; SANTOS, A. C. D.; BEZERRA, F. S.; ARAUJO, C. S. P.; SILVA, M. M. PERFORMANCE EVALUATION OF THE SIDE LINE MICROSPARENT AND MATHEMATICAL SIMULATION OF ITS ENERGY GRADIENT 2 ABSTRACT The objective was to evaluate the performance of the Agropolo model MC20 microsprinkler under different hydraulic conditions, generating information for a better design of micro-irrigation systems and water management in irrigated areas. The conduction of the hydraulic project to simulate the energy gradient in lateral lines, considered information determined through the choice of project components. The pairs of values referring to flow and pressure were extracted from the manufacturer's commercial catalog and, from these, the flow-pressure curve was generated, where the simulation was performed using the Algebraic Method - Christiansen (MA) and Iterative Method (SBS) – Back-Step. For both methods, the microsprinkler behaved similarly, when subjected to conditions suggested by the manufacturer, in a spacing between emitters of 5.2 m, using polyethylene tubes with an internal diameter of 13 mm and a working pressure of 20 mca, admitting a 10% pressure variation. The uniformity of pressure (CUp) and flow (CUq) coefficients were calculated, both with values above 95%, demonstrating the excellence in the performance of the emitter. Keywords: hydraulic, mathematical modeling, discharge coefficient.
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