985 resultados para GENETIC-RESOURCES
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Resumen El presente artículo hace un análisis de la actividad de bioprospección realizada por la institución privada denominada Instituto Nacional de Biodiversidad (INBio) en Costa Rica: su nacimiento, actividades y situación actual. Este análisis hace énfasis en cómo percibimos que este negocio de la bioprospección ha sido realizado sin mayor control público pese a que la riqueza genética del país, ha sido el objeto de los contratos pactados entre el INBio y empresas transnacionales, avalados todos por los ministros de ambiente de turno. La percepción e impactos en un Pueblo Indígena es parte del análisis y de igual forma, analizamos la bioprospección en forma general y cómo el marco jurídico actual se convierte en un elemento más en la cosificación de la biodiversidad. Abstract This article makes an analysis of the bioprospecting activity done by the private institution call National Institute on Biodiversity (INBio) in Costa Rica: beginning, activities and current situation. This analysis is focus in how we perceive this business of the bioprospecting made with no public controls despite that the genetic resources were the object of the contracts between INBio and the transnationals companies. All these contracts have the support of all the environment ministries of the diferents governments. The perception and impacts in an Indigenous People is part of the analysis and also, we analize in a general way, the bioprospecting and how the legal framework is another element that helps in the cosification of biodiversity.
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Phenotypic variation in plants can be evaluated by morphological characterization using visual attributes. Fruits have been the major descriptors for identification of different varieties of fruit crops. However, even in their absence, farmers, breeders and interested stakeholders require to distinguish between different mango varieties. This study aimed at determining diversity in mango germplasm from the Upper Athi River (UAR) and providing useful alternative descriptors for the identification of different mango varieties in the absence of fruits. A total of 20 International Plant Genetic Resources Institute (IPGRI) descriptors for mango were selected for use in the visual assessment of 98 mango accessions from 15 sites of the UAR region of eastern Kenya. Purposive sampling was used to identify farmers growing diverse varieties of mangoes. Evaluation of the descriptors was performed on-site and the data collected were then subjected to multivariate analysis including Principal Component Analysis (PCA) and Cluster analysis, one- way analysis of variance (ANOVA) and Chi square tests. Results classified the accessions into two major groups corresponding to indigenous and exotic varieties. The PCA showed the first six principal components accounting for 75.12% of the total variance. A strong and highly significant correlation was observed between the color of fully grown leaves, leaf blade width, leaf blade length and petiole length and also between the leaf attitude, color of young leaf, stem circumference, tree height, leaf margin, growth habit and fragrance. Useful descriptors for morphological evaluation were 14 out of the selected 20; however, ANOVA and Chi square test revealed that diversity in the accessions was majorly as a result of variations in color of young leaves, leaf attitude, leaf texture, growth habit, leaf blade length, leaf blade width and petiole length traits. These results reveal that mango germplasm in the UAR has significant diversity and that other morphological traits apart from fruits can be useful in morphological characterization of mango.
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2016
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Integrative taxonomy tests the validity of taxa using methods additional to traditional morphology. The existence of two different morphotypes in specimens identified as Chrysotoxum vernale Loew (Diptera: Syrphidae) prompted their taxonomic study using an integrative approach that included morphology, wing and male-surstylus geometric morphometrics, genetic and ecological analyses. As a result, a new species is recognised, Chrysotoxum montanum Nedeljković & Vujić sp. nov., and C. vernale is re-defined. A lectotype and paralectotypes are designated for C. vernale to stabilize this concept. An additional species, Chrysotoxum orthostylum Vujić sp. nov., with distinctive male genitalia is also described. The three species share an antenna with the basoflagellomere shorter than the scape plus pedicel and terga with yellow fasciae not reaching the lateral margins. This study confirms the value of integrative approach for resolving species boundaries.
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The Spanish elm programme began in 1986 in response to the devastating impact of Dutch elm disease on natural elm stands and urban trees. Its main objectives were to conserve remaining genetic resources and select and breed tolerant native elm genotypes. After 27 years of work conducting susceptibility trials on thousands of elm genotypes, the first seven tolerant Ulmus minor trees are now being registered by the Spanish Environmental Administration. This paper presents the results of the susceptibility tests on these clones and their distinctive genetic, morphological and phenological features. In all susceptibility trials the commercial ?Sapporo Autumn Gold? clone, which is highly tolerant to O. novo-ulmi, was used as a control. The registered clones were named ?Ademuz?, ?Dehesa de la Villa?, ?Majadahonda?, ?Toledo?, ?Dehesa de Amaniel?, ?Retiro? and ?Fuente Umbría?. The most tolerant clone was ?Dehesa de Amaniel?, as its wilting values were below 5% during the two consecutive inoculation trials performed in Madrid. ?Fuente Umbría?, tested over four consecutive years in Guadalajara and Palencia, was the Spanish clone with the most reliable tolerance level to O. novo-ulmi. The ?Ademuz? and ?Majadahonda? clones had the highest ornamental scores and are promising trees for use in urban environments and tree breeding for ornamental quality. These two genotypes showed a later bud burst phenology than the other U. minor clones, demonstrating suitability to areas with late frost events. The Spanish programme aims to substantially increase the range of tolerant native elms through new selections and crossings to gain a better understanding of the genetic basis of resistance.
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This paper presents the evaluation of qualitative and quantitative characteristics of 63 accessions of the sapodilla collection held in CATTE, Costa Rica. Cluster analysis of data indicated six distinct groups with 15, 14, 8, 8, 15 and 3 trees, respectively. Canonic discriminant analysis and F and X2 tests detected the variables most affecting group differentiation. These were reducing sugars, fruit acidity, fruit and seed length, sucrose, pH, fruit diameter, fruit weight, Brix degrees, total sugar content, total solid content, proteins, carbohydrates, leaf length and width, branch architecture, fructification distribution, fruit production, flowering and fruiting season, The origin of the materiais is related to the classifications obtained.
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41 p.
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By definition, the domestication process leads to an overall reduction of crop genetic diversity. This lead to the current search of genomic regions in wild crop relatives (CWR), an important task for modern carrot breeding. Nowadays massive sequencing possibilities can allow for discovery of novel genetic resources in wild populations, but this quest could be aided by the use of a surrogate gene (to first identify and prioritize novel wild populations for increased sequencing effort). Alternative oxidase (AOX) gene family seems to be linked to all kinds of abiotic and biotic stress reactions in various organisms and thus have the potential to be used in the identification of CWR hotspots of environment-adapted diversity. High variability of DcAOX1 was found in populations of wild carrot sampled across a West-European environmental gradient. Even though no direct relation was found with the analyzed climatic conditions or with physical distance, population differentiation exists and results mainly from the polymorphisms associated with DcAOX1 exon 1 and intron 1. The relatively high number of amino acid changes and the identification of several unusually variable positions (through a likelihood ratio test), suggests that DcAOX1 gene might be under positive selection. However, if positive selection is considered, it only acts on some specific populations (i.e. is in the form of adaptive differences in different population locations) given the observed high genetic diversity. We were able to identify two populations with higher levels of differentiation which are promising as hot spots of specific functional diversity.
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Local genetic resources represent an important reservoir of biodiversity in the animal sector. Sustainable use of these resources can be an important source of income for farmers taking advantage of the peculiar characteristics of their products. The different European local pig breeds have a different level of knowledge of their characteristics both at demographic and phenotypic level. This information, however, is fundamental to the management of the breeds and represent one of the first steps in a project for the enhancement of production. This paper reports the results of a survey on the demographic and phenotypic characterization of the 20 European local pig breeds involved in the TREASURE* project. The first part of the survey shows, for all populations involved, the available demographic parameters, the structure of the breed (i.e. number of males, females and replacements), the main morphological features, the reproductive information as well as some additional information collected at herd-level (i.e. temperament, holding, mating practices). A second module reports the results related to the origins and development of the breeds, to market characteristics and the presence and distribution of niche products. The survey concludes with a module related to the specific characteristics of each breed and the management of the same in relation to food and the environment. The survey is the starting point of the genetic and productive characterization of the breeds involved that are future actions of the TREASURE project.
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A análise tricológica é um método não invasivo com potencial para a identificação de mamíferos por meio das características microscópicas de seus pelos. Permite identificar e diferenciar amostras ao nível de Ordem, Família, Gênero, Espécie e até mesmo Subespécies em alguns grupos zoológicos. A caracterização morfométrica de estruturas da cutícula em pelos de animais de raças bovinas criadas no Brasil poderia indicar a possibilidade de uso desta técnica como marcador racial. Um total de 120 animais (machos e fêmeas), pertencentes às raças Caracu, Curraleiro Pé-Duro e Nelore, provenientes de rebanhos de diferentes regiões geográficas foi amostrado. Os dados de área e perímetro das escamas cuticulares foram submetidos à análise de variância, sendo o efeito de raça significativo (P<0,001) e as médias das variáveis estudadas significativamente diferentes entre as raças (P<0,05). A técnica tricológica apresentou elevada acurácia na diferenciação das raças bovinas estudadas. O método, que tem como característica baixo custo de execução, se mostrou como uma ferramenta de grande utilidade para identificação não invasiva de bovinos, com potencial de uso e aplicação para outras espécies de interesse para a pecuária.
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This paper presents a genetic algorithm-based approach for project scheduling with multi-modes and renewable resources. In this problem activities of the project may be executed in more than one operating mode and renewable resource constraints are imposed. The objective function is the minimization of the project completion time. The idea of this approach is integrating a genetic algorithm with a schedule generation scheme. This study also proposes applying a local search procedure trying to yield a better solution when the genetic algorithm and the schedule generation scheme obtain a solution. The experimental results show that this algorithm is an effective method for solving this problem.
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The resource constrained project scheduling problem (RCPSP) is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. During the last couple of years many heuristic procedures have been developed for this problem, but still these procedures often fail in finding near-optimal solutions. This paper proposes a genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities and delay times of the activities are defined by the genetic algorithm. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.
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It is common to find in experimental data persistent oscillations in the aggregate outcomes and high levels of heterogeneity in individual behavior. Furthermore, it is not unusual to find significant deviations from aggregate Nash equilibrium predictions. In this paper, we employ an evolutionary model with boundedly rational agents to explain these findings. We use data from common property resource experiments (Casari and Plott, 2003). Instead of positing individual-specific utility functions, we model decision makers as selfish and identical. Agent interaction is simulated using an individual learning genetic algorithm, where agents have constraints in their working memory, a limited ability to maximize, and experiment with new strategies. We show that the model replicates most of the patterns that can be found in common property resource experiments.
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Prosopis rubriflora and Prosopis ruscifolia are important species in the Chaquenian regions of Brazil. Because of the restriction and frequency of their physiognomy, they are excellent models for conservation genetics studies. The use of microsatellite markers (Simple Sequence Repeats, SSRs) has become increasingly important in recent years and has proven to be a powerful tool for both ecological and molecular studies. In this study, we present the development and characterization of 10 new markers for P. rubriflora and 13 new markers for P. ruscifolia. The genotyping was performed using 40 P. rubriflora samples and 48 P. ruscifolia samples from the Chaquenian remnants in Brazil. The polymorphism information content (PIC) of the P. rubriflora markers ranged from 0.073 to 0.791, and no null alleles or deviation from Hardy-Weinberg equilibrium (HW) were detected. The PIC values for the P. ruscifolia markers ranged from 0.289 to 0.883, but a departure from HW and null alleles were detected for certain loci; however, this departure may have resulted from anthropic activities, such as the presence of livestock, which is very common in the remnant areas. In this study, we describe novel SSR polymorphic markers that may be helpful in future genetic studies of P. rubriflora and P. ruscifolia.
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Genetic variation and environmental heterogeneity fundamentally shape the interactions between plants of the same species. According to the resource partitioning hypothesis, competition between neighbors intensifies as their similarity increases. Such competition may change in response to increasing supplies of limiting resources. We tested the resource partitioning hypothesis in stands of genetically identical (clone-origin) and genetically diverse (seed-origin) Eucalyptus trees with different water and nutrient supplies, using individual-based tree growth models. We found that genetic variation greatly reduced competitive interactions between neighboring trees, supporting the resource partitioning hypothesis. The importance of genetic variation for Eucalyptus growth patterns depended strongly on local stand structure and focal tree size. This suggests that spatial and temporal variation in the strength of species interactions leads to reversals in the growth rank of seed-origin and clone-origin trees. This study is one of the first to experimentally test the resource partitioning hypothesis for intergenotypic vs. intragenotypic interactions in trees. We provide evidence that variation at the level of genes, and not just species, is functionally important for driving individual and community-level processes in forested ecosystems.