261 resultados para Gallus gallus
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Thesis (Ph. D.) - Cornell Univ., 1917.
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Mode of access: Internet.
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Appended is: Übersicht über das 18. verwaltungsjahr des Litterarischen vereins (1865)
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Includes index.
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Ms. notations.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Thesis (doctoral)--Universitat Marburg i.H.
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Este estudio describ e la crianza de los gallos de pelea en el municipio de Muy - Muy, Departamento de Matagalpa durante el año , 201 5 . Se seleccionaron 15 Familias bajo criterios previos de a nuencia, disponibilidad de los galleros entrevistados y experiencia en el manejo de los mismos . Para recabar información se utilizaron entrevista s . Para el procesamiento e interpretaci ón de la inform ación, se utilizaron datos porcentuales. Las variables evaluadas fueron: Inventario de gallos de pelea , importancia de la crianza, manejo, parámetros productivos y reproductivos y enfermedades que los afectan. Entre los resultados están: La población de g allos encontrada total es de 379 adultos . La importancia de la crianza de gallos de pelea para la s familias se determinó por las causas que expresan, donde las familias opinaron que l o s crían para reproducción y para consumo, Las principales característica s de estas aves son: plumaje fino, estructura fina, estatura alta e hiperactivos , las familias desconocen el valor alimenticio y nutricional , pero e l destino de la producción de huevos es para la reproducción con fines del remplazo de la parvada . El manejo proporcionado a los gallos de pelea consiste en buen a alimentación, desparasitación, vitaminació n y buenas instalaciones, se resume en suministro de alimento y agua de calidad . El alimento suministrado, es concentrado industrial y casero ; las instalacione s y equipos construidos son artesanales y cumplen su objetivo para las aves . El peso promedio del huevo es de 1.49 onzas y ponen un promedio de 54 h uevo /año. La incubación dura 21 días . La relación hembra/ macho es 5 /m. La madurez sexual de los gallos y la s gallinas es entre 6 y 8 meses de edad.
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Photographs and notes by A.E. Gordon
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Abstract. This study aims to determine the effect of giving various types of feed additives to the chemical composition value of super chicken chicken (Gallus domestica). This research is an experimental research using 20 super chicken chickens that come from chicken growth research (growth study). The design used in this study was Completely Randomized Design (RAL), consisting of 4 treatments and 5 replications. The treatment given was (A0 = control (Vita chick 0.7 gram / liter; A1 = 20 ml / liter probio-FM; A2 = 0.08% MOS-oligosaccharide / kg of feed and A3 = herbal leuser KI 5 ml / liter). is a 90 day old super chicken breast Chicken Variable observed moisture content, protein content and fat content The data obtained were analyzed by using vocabulary and tested further by Duncan's Multiple Range Test The results showed that treatment (P> 0,05) to the value of water content and protein of super chicken fowl.Average value of water content at each treatment A0 (69,81%), A1 (70,74%), A2 (71,56%) and A3 (71,52%) while mean value of protein A0 (18,95%), A1 (19,61%), A2 (19,01%) and A3 (19,14%)) P <0,05) to the fat content of super chicken flesh, mean of fat content were A0 (2.02%), A1 (1.49%), A2 (1.37%) and A3 (2.0%).
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Some factors complicate comparisons between linkage maps from different studies. This problem can be resolved if measures of precision, such as confidence intervals and frequency distributions, are associated with markers. We examined the precision of distances and ordering of microsatellite markers in the consensus linkage maps of chromosomes 1, 3 and 4 from two F 2 reciprocal Brazilian chicken populations, using bootstrap sampling. Single and consensus maps were constructed. The consensus map was compared with the International Consensus Linkage Map and with the whole genome sequence. Some loci showed segregation distortion and missing data, but this did not affect the analyses negatively. Several inversions and position shifts were detected, based on 95% confidence intervals and frequency distributions of loci. Some discrepancies in distances between loci and in ordering were due to chance, whereas others could be attributed to other effects, including reciprocal crosses, sampling error of the founder animals from the two populations, F(2) population structure, number of and distance between microsatellite markers, number of informative meioses, loci segregation patterns, and sex. In the Brazilian consensus GGA1, locus LEI1038 was in a position closer to the true genome sequence than in the International Consensus Map, whereas for GGA3 and GGA4, no such differences were found. Extending these analyses to the remaining chromosomes should facilitate comparisons and the integration of several available genetic maps, allowing meta-analyses for map construction and quantitative trait loci (QTL) mapping. The precision of the estimates of QTL positions and their effects would be increased with such information.
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Macro- and microarrays are well-established technologies to determine gene functions through repeated measurements of transcript abundance. We constructed a chicken skeletal muscle-associated array based on a muscle-specific EST database, which was used to generate a tissue expression dataset of similar to 4500 chicken genes across 5 adult tissues (skeletal muscle, heart, liver, brain, and skin). Only a small number of ESTs were sufficiently well characterized by BLAST searches to determine their probable cellular functions. Evidence of a particular tissue-characteristic expression can be considered an indication that the transcript is likely to be functionally significant. The skeletal muscle macroarray platform was first used to search for evidence of tissue-specific expression, focusing on the biological function of genes/transcripts, since gene expression profiles generated across tissues were found to be reliable and consistent. Hierarchical clustering analysis revealed consistent clustering among genes assigned to 'developmental growth', such as the ontology genes and germ layers. Accuracy of the expression data was supported by comparing information from known transcripts and tissue from which the transcript was derived with macroarray data. Hybridization assays resulted in consistent tissue expression profile, which will be useful to dissect tissue-regulatory networks and to predict functions of novel genes identified after extensive sequencing of the genomes of model organisms. Screening our skeletal-muscle platform using 5 chicken adult tissues allowed us identifying 43 'tissue-specific' transcripts, and 112 co-expressed uncharacterized transcripts with 62 putative motifs. This platform also represents an important tool for functional investigation of novel genes; to determine expression pattern according to developmental stages; to evaluate differences in muscular growth potential between chicken lines, and to identify tissue-specific genes.