7 resultados para GENETIC-RESOURCES
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Introduction to Animal GRIN; Navigating the Database; Setting Up the Database (Super Users); Create Taxonomy Structure; Set Up Location Structure; Form Descriptions (All Users); Form Descriptions (Super Users); Entering Shipments; E-R Diagram for Incoming Orders; Entering Requests; Reports.
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2016
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The genetic diversity of E. oleifera is strongly structured by geographical origin, with four groups clearly distinguished: Brazil, Surinam/French Guyana, north of /Colombia/Central America and Peru. Within the Amazon basin, thereis a moderate structure that corresponds to the major tributaries of the Amazon river. From the 37 polymorphic RFLP probe/enzyme combinatios used, 19 probes (51%) presented simple restriction profiles, with one (1) or two bands/plant, suggesting a single locus with different alleles, allowing allelic co-dominant coding for them.
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2016
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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.
Resumo:
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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Abstract: Selection among broilers for performance traits is resulting in locomotion problems and bone disorders, once skeletal structure is not strong enough to support body weight in broilers with high growth rates. In this study, genetic parameters were estimated for body weight at 42 days of age (BW42), and tibia traits (length, width, and weight) in a population of broiler chickens. Quantitative trait loci (QTL) were identified for tibia traits to expand our knowledge of the genetic architecture of the broiler population. Genetic correlations ranged from 0.56 +/- 0.18 (between tibia length and BW42) to 0.89 +/- 0.06 (between tibia width and weight), suggesting that these traits are either controlled by pleiotropic genes or by genes that are in linkage disequilibrium. For QTL mapping, the genome was scanned with 127 microsatellites, representing a coverage of 2630 cM. Eight QTL were mapped on Gallus gallus chromosomes (GGA): GGA1, GGA4, GGA6, GGA13, and GGA24. The QTL regions for tibia length and weight were mapped on GGA1, between LEI0079 and MCW145 markers. The gene DACH1 is located in this region; this gene acts to form the apical ectodermal ridge, responsible for limb development. Body weight at 42 days of age was included in the model as a covariate for selection effect of bone traits. Two QTL were found for tibia weight on GGA2 and GGA4, and one for tibia width on GGA3. Information originating from these QTL will assist in the search for candidate genes for these bone traits in future studies.