Practical case with regard to applying the functional and environmental method to low crest level, detached breakwaters

The research work as presented in this article covers the design of detached breakwaters since they constitute a type of coastal defence work with which to combat many of the erosion problems found on beaches in a stable, sustainable fashion. The main aim of this work is to formulate a functional and environmental (but not structural) design method, enabling the fundamental characteristics of a detached breakwater to be defined as a function of the effect it is wished to induce on the coast, and taking into account variables of a different nature (climate, geomorphology and geometry) influencing the changes the shoreline undergoes after its construction. With this article, it is intended to submit the final result of the investigation undertaken, applying the detached breakwater design method as developed to solving a practical case. Thus it may be shown how the method enables a detached breakwater’s geometric pre-sizing to be tackled at a place on the coast with certain climate, geomorphology and littoral dynamic characteristics, first setting the final state of equilibrium it is wanted to obtain therein after its construction.

Consolidation of a wsn and minimax method to rapidly neutralise intruders in strategic installations

Due to the sensitive international situation caused by still-recent terrorist attacks, there is a common need to protect the safety of large spaces such as government buildings, airports and power stations. To address this problem, developments in several research fields, such as video and cognitive audio, decision support systems, human interface, computer architecture, communications networks and communications security, should be integrated with the goal of achieving advanced security systems capable of checking all of the specified requirements and spanning the gap that presently exists in the current market. This paper describes the implementation of a decision system for crisis management in infrastructural building security. Specifically, it describes the implementation of a decision system in the management of building intrusions. The positions of the unidentified persons are reported with the help of a Wireless Sensor Network (WSN). The goal is to achieve an intelligent system capable of making the best decision in real time in order to quickly neutralise one or more intruders who threaten strategic installations. It is assumed that the intruders’ behaviour is inferred through sequences of sensors’ activations and their fusion. This article presents a general approach to selecting the optimum operation from the available neutralisation strategies based on a Minimax algorithm. The distances among different scenario elements will be used to measure the risk of the scene, so a path planning technique will be integrated in order to attain a good performance. Different actions to be executed over the elements of the scene such as moving a guard, blocking a door or turning on an alarm will be used to neutralise the crisis. This set of actions executed to stop the crisis is known as the neutralisation strategy. Finally, the system has been tested in simulations of real situations, and the results have been evaluated according to the final state of the intruders. In 86.5% of the cases, the system achieved the capture of the intruders, and in 59.25% of the cases, they were intercepted before they reached their objective.

Distributes award protocol: A cooperation and communication method for robots.

In this Master’s Thesis a new Distributed Award Protocol (DAP) for robot communication and cooperation is presented. Task assignment (contract awarding) is done dynamically with contracts assigned to robots based upon the best bid received. Instead of having a manager and a contractor it is proposed a fully distributed bidding/awarding mechanism without a distinguished master. The best bidding robots are awarded with contract for execution. The contractors make decisions locally. This brings the following benefits: no communication bottleneck, low computational power requirement, increased robustness. DAP can handle multitasking. Tasks can be injected into system during the execution of already allocated tasks. As tasks have priorities, in the next cycle after taking into account actual bid parameters of all robots, tasks can be re-allocated. The aim is to minimize a global cost function which is a compromise between cost of task execution and cost of resources usage. Information about tasks and bid values is spread among robots with the use of a Round Robin Route, which is a novel solution proposed in this work. This method allows also identifying failed robots. Such failed robot is eliminated from the list of awarded robots and its replacement is found so the task is still executed by a team. If the failure of a robot was temporary (e.g. communication noise) and the robot can recover, it can again participate in the next bidding/awarding process. Using a bidding/awarding mechanism allows robots to dynamically relocate among tasks. This is also contributes to system robustness. DAP was evaluated through multiple experiments done in the multi-robot simulation system. Various scenarios were tested to check the idea of the main algorithm. Different failures of robots (communication failures, partial hardware malfunctions) were simulated and observations were made regarding how DAP recovers from them. Also the DAP flexibility to environment changes was watched. The experiments in the simulated environment confirmed the above features of DAP.

Shadow Analysis of Soil Surface Roughness Compared to the Chain Set Method and Direct Measurement of Micro-relief.

Erosion potential and the effects of tillage can be evaluated from quantitative descriptions of soil surface roughness. The present study therefore aimed to fill the need for a reliable, low-cost and convenient method to measure that parameter. Based on the interpretation of micro-topographic shadows, this new procedure is primarily designed for use in the field after tillage. The principle underlying shadow analysis is the direct relationship between soil surface roughness and the shadows cast by soil structures under fixed sunlight conditions. The results obtained with this method were compared to the statistical indexes used to interpret field readings recorded by a pin meter. The tests were conducted on 4-m2 sandy loam and sandy clay loam plots divided into 1-m2 subplots tilled with three different tools: chisel, tiller and roller. The highly significant correlation between the statistical indexes and shadow analysis results obtained in the laboratory as well as in the field for all the soil?tool combinations proved that both variability (CV) and dispersion (SD) are accommodated by the new method. This procedure simplifies the interpretation of soil surface roughness and shortens the time involved in field operations by a factor ranging from 12 to 20.

Comments and remarks over classic linear loop-gain method for oscillator design and analysis. New proposed method based on NDF/RRT

Abstract. This paper describes a new and original method for designing oscillators based on the Normalized Determinant Function (NDF) and Return Relations (RRT)- Firstly, a review of the loop-gain method will be performed. The loop-gain method pros, cons and some examples for exploring wrong solutions provided by this method will be shown. This method produces in some cases wrong solutions because some necessary conditions have not been fulfilled. The required necessary conditions to assure a right solution will be described. The necessity of using the NDF or the Transpose Return Relations (RRT), which are related with the True Loop-Gain, to test the additional conditions will be demonstrated. To conclude this paper, the steps for oscillator design and analysis, using the proposed NDF/RRj method, will be presented. The loop-gain wrong solutions will be compared with the NDF/RRj and the accuracy of this method to estimate the oscillation frequency and QL will be demonstrated. Some additional examples of plane reference oscillators (Z/Y/T), will be added and they will be analyzed with the new NDF/RRj proposed method, even these oscillators cannot be analyzed using the classic loop gain method.

Characterization of Cavities Using the GPR, LIDAR and GNSS Techniques

The study of the many types of natural and manmade cavities in different parts of the world is important to the fields of geology, geophysics, engineering, architectures, agriculture, heritages and landscape. Ground-penetrating radar (GPR) is a noninvasive geodetection and geolocation technique suitable for accurately determining buried structures. This technique requires knowing the propagation velocity of electromagnetic waves (EM velocity) in the medium. We propose a method for calibrating the EM velocity using the integration of laser imaging detection and ranging (LIDAR) and GPR techniques using the Global Navigation Satellite System (GNSS) as support for geolocation. Once the EM velocity is known and the GPR profiles have been properly processed and migrated, they will also show the hidden cavities and the old hidden structures from the cellar. In this article, we present a complete study of the joint use of the GPR, LIDAR and GNSS techniques in the characterization of cavities. We apply this methodology to study underground cavities in a group of wine cellars located in Atauta (Soria, Spain). The results serve to identify construction elements that form the cavity and group of cavities or cellars. The described methodology could be applied to other shallow underground structures with surface connection, where LIDAR and GPR profiles could be joined, as, for example, in archaeological cavities, sewerage systems, drainpipes, etc.

Identification of the method to quantify soluble fibre and the effect of the source of fibre on the ileal and faecal digestibility of soluble and insoluble fibre in rabbits = Identificación del método para cuantificar la fibra soluble y el efecto de la fuente de fibra en la digestibilidad ileal y fecal de la fibra soluble e insoluble en conejos

La presente tesis constituye un avance en el estudio de los métodos para cuantificar la fibra soluble y los efectos de las fracciones de fibra y las fuentes de fibra sobre la digestión de las diferentes fracciones de fibra (soluble e insoluble) en el conejo. Hay un efecto positivo de la fibra soluble sobre la salud intestinal de los conejos y, por ende, una reducción de la mortalidad en animales destetados. Pese a esto, no está claro si estos efectos se deben específicamente a la fracción soluble. Por lo que los objetivos generales de esta tesis fueron: 1) comparar diferentes metodologías químicas e in vitro para cuantificar la fibra soluble y estudiar las posibles interferencias en la cuantificación de la fibra soluble por las mucinas, y viceversa, 2) determinar los efectos de la fibra, el lugar de fermentación, el método para valorar la fibra soluble e insoluble, y la corrección de la fibra soluble por el contenido intestinal de mucinas sobre la digestibilidad de las distintas fracciones de la fibra y 3) evaluar los efectos individuales de las fracciones soluble e insoluble de la fibra de pulpa de remolacha y de manzana, sobre la digestibilidad de la fibra soluble e insoluble y los parámetros digestivos. Para ello se llevaron a cabo 4 estudios. En el primer estudio se compararon diferentes metodologías químicas e in vitro para valorar la fibra soluble de diferentes alimentos y se estudió la posible interferencia en la determinación de la fibra soluble y mucinas. Para ello se utilizaron seis ingredientes (pulpa de remolacha, pectinas de pulpa de remolacha, pulpa de remolacha lavada, paja de cereal, cascarilla de girasol y lignocelulosa) y siete piensos de conejos con diferentes niveles de fibra soluble. En un primer experimento se analizó la fibra dietética total (FDT), la fibra dietética insoluble (FDI), la fibra dietética soluble (FDS), la fibra neutro detergente corregida por cenizas y proteínas (aFNDmo-pb), y la digestibilidad in vitro 2 pasos pepsina/pancreatina (residuo corregido por cenizas y proteína, ivMSi2) de los ingredientes y piensos. Además la fibra soluble se calculó mediante la diferencia entre FDT-FDI (FDSFDI), FDT- ivMSi2 (FDSivMSi2), y FDT - aFNDmo-pb (FDSaFNDmo-pb). Cuando la fibra soluble se determinó directamente como FDS o se calculó como FDT-FDI no se observaron diferencias (109 g/kg MS, en promedio). Sin embargo, cuando la fibra soluble se calculó como FDT - aFNDmo-pb su valor fue un 40% menor (153 g/kg MS. P < 0,05), mientras que la FDSFDI (124 g/kg MS) no fue diferente a ninguna de las otras metodologías. La correlación entre los tres métodos fue elevada (r > 0,96. P < 0,001. n = 13), pero disminuyó o incluso desapareció cuando la pulpa o las pectinas de la remolacha fueron excluidas del análisis. En un segundo experimento, se comparó el método ivDMi2 usando crisoles (método de referencia) con una modificación del mismo usando bolsas ANKOM digeridas individualmente o en colectivo para simplificar la determinación de la FDSivMSi2. La FDSivMSi2 no difirió entre los métodos comparados. En un tercer experimento, se analizó la posible interferencia entre la determinación de la fibra soluble y las mucinas intestinales. Se observó un contenido de FDT y de mucinas elevado en las muestras de pectinas de remolacha (994 y 709 g/kg MS), así como en el moco intestinal de conejo (571 y 739 g/kg MS) cuando se aplicó el método de mucinas por precipitación con etanol. Sin embargo, después de aplicar una pectinasa en el material precipitado, la cantidad de mucinas recuperadas en las muestras de pectinas de remolacha fue cercana a cero, mientras que en el moco intestinal fue similar a los resultados previos al uso de la enzima. Con los resultados de este ensayo se estimaron los carbohidratos de mucinas retenidos en los contenidos digestivos y se propuso una corrección para la determinación de la digestibilidad de la FDT y fibra soluble. En conclusión, la contaminación de las mucinas de la digesta con fibra soluble se soluciona usando pectinasas. El segundo estudio se centró en estudiar: 1) el efecto del tipo de fibra, 2) el sitio de fermentación, 3) el método para cuantificar fibra y 4) la corrección por mucinas sobre la digestibilidad de la fibra. Para ello se formularon tres piensos con diferentes niveles de fibra soluble (FDT-aFNDmo-pb). Un pienso bajo en fibra soluble (LSF. 85 g/kg DM), un pienso medio en fibra soluble (MSF. 102 g/kg DM), y un pienso alto en fibra soluble (HSF. 145 g/kg DM). Estos piensos se obtuvieron reemplazando un 50% del heno del alfalfa en el pienso MSF por una mezcla de pulpa de manzana y remolacha (HSF) o por una mezcla de cascarilla de avena y proteína de soja (LSF). Se utilizaron 30 conejas canuladas para determinar la digestibilidad ileal y fecal. La digestibilidad cecal se calculó mediante diferencia entre la digestibilidad fecal e ileal. La fibra insoluble se determinó como aFNDmo-pb, IDF, e ivMSi2, mientras que la fibra soluble se calculó como FDSFDI, FDSaFNDmo-pb, y FDSivMSi2. La digestibilidad de la FDT y la fibra soluble se corrigieron por las mucinas. La concentración de mucinas en la digesta ileal y fecal, aumento desde el grupo LSF hasta el grupo con el pienso HSF (P < 0,01). La corrección por mucinas aumentó las digestibilidades de la FDT y la fibra soluble a nivel ileal, mientras que a nivel cecal las redujo. (P < 0.01). El coeficiente de digestibilidad ileal de FDT aumentó desde el grupo LSF al grupo HSF (0,12 vs. 0,281. P < 0,01), sin diferencias en el coeficiente de digestibilidad cecal (0,264), por lo que la tendencia a nivel fecal entre los grupos se mantuvo. El coeficiente de digestibilidad ileal de la fibra insoluble aumento desde el grupo con el pienso LSF al grupo con el pienso HSF (0,113 vs. 0,210. P < 0,01), sin diferencias a nivel cecal (0,139) y sin efecto del método usado, resultando en una digestibilidad elevada a nivel fecal, con tendencias similares a las observadas a nivel ileal. El coeficiente de digestibilidad de la FND fue elevada en comparación con la FDI o la ivMSi2 (P > 0.01). El coeficiente de la digestibilidad ileal de la fibra soluble fue mayor en el grupo LSF respecto al grupo LSF (0,436 vs. 0,145. P < 0,01) y el método no afectó a esta determinación. El coeficiente de la digestibilidad cecal de la fibra soluble se redujo desde el grupo LSF hasta el grupo HSF (0,721 vs. 0,492. P < 0,05). El valor más bajo de digestibilidad cecal y fecal de fibra soluble fue medido con el método FDSaFNDmo-pb (P < 0,01). Se observó una alta correlación entre las digestibilidades de la fibra soluble determinada como FDSFDI, FDSaFNDmo-pb, y FDSivMSi2, por lo tanto la información proporcionada por una u otra metodología fueron similares. Sin embargo, cuando se compararon con efectos fisiológicos (producción de mucinas y peso del ciego y pH del ciego de un trabajo previo), la FDSaFNDmo-pb globalmente mostró estar mejor correlacionado con estos parámetros fisiológicos. En conclusión, la corrección por mucinas es necesaria para determinar la digestibilidad ileal de la FDT y fibra soluble, mientras que la elección de uno u otro método es menos relevante. La inclusión de pulpa de manzana y remolacha incrementa la cantidad de FDT que desaparece antes de llegar al ciego. En el tercer estudio se estudió el efecto de la fracción fibrosa soluble e insoluble de la pulpa de remolacha y el método de cuantificación de la fibra soluble e insoluble sobre la digestibilidad de la fibra y algunos parámetros digestivos. Para ello se formularon cuatro piensos con niveles similares de fibra insoluble (315g aFNDmo-pb/kg MS) y proteína (167 g/kg MS). El pienso control contuvo el nivel más bajo de fibra soluble (30,3 g/kg, con cascarilla de girasol y paja como fuente de fibra). Un segundo pienso se obtuvo mediante la sustitución de 60 g de almidón/kg del pienso control por pectinas de remolacha (82,9 g fibra soluble/kg MS). Los otras dos piensos resultaron de la sustitución parcial de las fuentes de fibra del pienso control por la fracción insoluble de la pulpa de remolacha y la pulpa de remolacha entera (42.2 y 82.3 g fibra soluble/kg MS, respectivamente). Cincuenta y seis conejos en cebo (14/pienso), de 2,4  0.21 kg de peso, fueron usados para determinar la digestibilidad ileal y fecal de la FDT, FDI, aFNDmo-pb, FDSFDI, y FDSaFNDmo-pb. La concentración de mucinas en el íleon y heces se utilizaron para corregir la digestibilidad de la FDT y fibra soluble. También se midió el peso de diferentes segmentos del tracto digestivo y el pH del contenido digestivo. Los conejos alimentados con el pienso de fibra insoluble de pulpa de remolacha mostraron los consumos más bajos con respecto a los demás grupos (124 vs. 139 g/d, respectivamente. P < 0,05). El flujo de mucinas ileales fue más alto (P < 0.05) en el grupo alimentado con el pienso de pectinas de remolacha (9,0 g/d en promedio) que los del grupo control (4,79 g/d), mostrando los otros dos grupos valores intermedios, sin detectarse diferencias a nivel fecal. La digestibilidad ileal de la FDT (corregida por mucinas) y la fibra insoluble no se vieron afectadas por el tipo de pienso. El método usado para determinar la fibra insoluble afectó su digestibilidad ileal (0,123 para FDI vs. 0,108 para aFNDmo-pb. P < 0.01). De todas formas, los métodos no afectaron al cálculo de la fibra fermentada antes del ciego (4,9 g/d en promedio). Los conejos alimentados con el pienso de pulpa de remolacha y con el pienso con la fracción insoluble de la pulpa de remolacha mostraron las digestibilidades fecales más altas de la fibra insoluble (0,266 en promedio vs. 0,106 del grupo control), mientras que en los animales del pienso con pectinas esta digestibilidad fue un 47% mayor respecto al pienso control (P < 0,001). La digestibilidad fecal de la fibra insoluble fue un 20% más alta cuando se usó la FND en lugar de FDI para determinarla (P < 0.001). Esto hizo variar la cantidad de fibra insoluble fermentada a lo largo del tracto digestivo (9,5 ó 7,5 g/d cuando fue calculada como FDI o aFNDmo-pb, respectivamente. P < 0,001). Las digestibilidades ileales de la fibra soluble fueron positivas cuando los análisis de fibra soluble de los contenidos ileales fueron corregidos por mucinas, (P < 0,001) excepto para la digestibilidad ileal de la FDSIDF del grupo control. Una vez corregidas por mucinas, los conejos alimentados con los piensos que contuvieron la fracción soluble de la pulpa de remolacha (pienso de pectina y pulpa de remolacha) mostraron una mayor digestibilidad ileal de la fibra soluble, respecto al grupo control (0,483 vs. -0,010. P = 0.002), mientras que el grupo del pienso de fibra insoluble de pulpa de remolacha mostró un valor intermedio (0,274). La digestibilidad total de la fibra soluble fue similar entre todos los grupos (0.93). Los conejos alimentados con pulpa de remolacha y su fracción insoluble mostraron los pesos relativos más altos del estómago respecto a los del pienso control y de pectinas (11 y 56 % respectivamente; P < 0,05). Por otra parte, el peso relativo del ciego aumentó en los animales que consumieron tanto la fracción soluble como insoluble de la pulpa de remolacha, siendo un 16% más pesados (P < 0,001) que el grupo control. El pH del contenido cecal fue más bajo en los animales del grupo de pulpa de remolacha que en los del grupo control (5,64 vs. 6,03; P < 0,001), mientras que los del grupo de pectinas y de fibra insoluble de pulpa de remolacha mostraron valores intermedios. En conclusión, el efecto positivo de la pulpa de remolacha en el flujo de mucinas a nivel ileal se debe a la fracción soluble e insoluble de la pulpa de remolacha. La mitad de la fibra soluble de la pulpa de remolacha desaparece antes de llegar al ciego, independientemente si esta proviene de pectinas puras o de la pulpa de remolacha. El pH cecal esta mejor correlacionado con la cantidad de FDT que desaparece antes del ciego más que con la que se degrada en el ciego. En el último estudio se estudiaron los efectos de la fibra soluble e insoluble de la pulpa de manzana sobre la digestibilidad de la fibra y algunos parámetros digestivos. Cuatro dietas fueron formuladas con niveles similares de fibra insoluble (aFNDmo-pb 32,4%) y proteína (18,6% ambos en base seca). El pienso control contuvo el nivel más bajo de fibra soluble (46 g de fibra soluble/kg, con cascarilla de girasol y paja de cereales como la fuentes de fibra). Un segundo pienso fue obtenido mediante la sustitución de 60 g de almidón/kg del pienso control por pectinas de manzana (105 g fibra soluble/kg). Los otros dos piensos se obtuvieron por la substitución de parte de las fuentes de fibra del pienso control por pulpa de manzana o pulpa de manzana despectinizada (93 y 71 g de fibra soluble/kg, respectivamente). La digestibilidad fecal fue determinada en 23 conejos/pienso con 1.68 ± 0.23 kg de peso vivo, los cuales fueron sacrificados a los 60 d edad para recolectar su contenido digestivo para determinar digestibilidad ileal y otros parámetros digestivos. La fibra soluble de manzana (pectinas y pulpa entera) estimuló el flujo ileal de mucinas (P = 0,002), pero no asi la pulpa despectinizada. La corrección por mucinas incrementó la digestibilidad de la FDT y la fibra soluble a nivel fecal, y especialmente a nivel ileal. Cerca de la mitad de la fibra soluble proveniente de los piensos con cualquiera de las fracciones de la pulpa de manzana fue degradada a nivel ileal, sin mostrar diferencias entre los grupos (46 y 86% en promedio a nivel ileal y fecal respectivamente). La inclusión de pulpa despectinizada de manzana mejoró la digestibilidad de la FND a nivel fecal (P < 0,05) pero no a nivel ileal. El contenido cecal de los conejos alimentados con la pulpa de manzana tuvieron el pH cecal más ácido que los del pienso control (5,55 vs. 5,95. P < 0,001), mientras que los animales con el pienso de pectinas de manzana y de pulpa de manzana despectinizada mostraron valores intermedios. En conclusión los efectos positivo de la pulpa de manzana en el flujo de mucinas se debió principalmente a la fracción soluble de la pulpa de manzana. La mitad de la fibra soluble fue degradada antes del ciego independientemente de si esta provino de las pectinas o de la pulpa de manzana. El pH cecal estuvo mejor correlacionado con la cantidad de FDT fermentada en todo el tracto digestivo y antes de llegar al ciego que con la que se degradó en el ciego. Al integrar los resultados de los estudio 2, 3 y 4 se concluyó que la corrección de mucinas de los contenidos digestivos al determinar FDT y fibra soluble es necesaria para ajustar los cálculos de su digestibilidad. Esta corrección es mucho más importante a nivel ileal y en dietas bajas en fibra soluble. Por otra parte, la FDT desapareció en proporciones importantes antes de llegar al ciego, especialmente en piensos que contienen pulpa de remolacha o de manzana o alguna fracción soluble o insoluble de las mismas y estas diferencias observadas entre los piensos a nivel ileal se correlacionaron mejor con el pH cecal, lo que indicaría que la FDT se solubilizó antes de llegar al ciego y una vez en esté fermentó. Estos resultados implican que determinar la fibra soluble como FDSaFNDmo-pb es la mejor opción y que en la determinación de la digestibilidad de la FDT y fibra soluble se debe considerar la corrección por mucinas especialmente a nivel ileal y en piensos bajos en fibra soluble. ABSTRACT The present thesis constitutes a step forward in advancing the knowledge of the methods to quantify soluble fibre and the effects of the fibre fractions and source of fibre on the site the digestion of different fractions of fibre (soluble and insoluble) in the rabbit. There is a positive effect of soluble fibre on rabbit digestive health and therefore on the reduction of mortality in weaning rabbits. Nevertheless, it is no so clear that the effects of soluble fibre on rabbits are due particularly to this fraction. This thesis aims: 1) to compare the quantification of soluble fibre in feeds using different chemical and in vitro approaches, and to study the potential interference between soluble fibre and mucin determinations, 2) to identify the effects of type of fibre, site of fermentation, method to quantify insoluble and soluble fibre, and correction of the intestinal soluble fibre content for intestinal mucin on the digestibility of fibre fractions and 3) to evaluate the individual effect of soluble and insoluble fibre from sugar beet pulp and apple pulp on ileal and faecal soluble and insoluble digestibility and digestive traits. These objectives were developed in four studies: The first study compared the quantification of soluble fibre in feeds using different chemical and in vitro approaches, and studied the potential interference between soluble fibre and mucin determinations. Six ingredients, sugar beet pulp (SBP), SBP pectins, insoluble SBP, wheat straw, sunflower hulls and lignocellulose, and seven rabbit diets, differing in soluble fibre content, were evaluated. In experiment 1, ingredients and diets were analysed for total dietary fibre (TDF), insoluble dietary fibre (IDF), soluble dietary fibre (SDF), aNDFom (corrected for protein, aNDFom-cp) and 2-step pepsin/pancreatin in vitro DM indigestibility (corrected for ash and protein, ivDMi2). Soluble fibre was estimated by difference using three procedures: TDF - IDF (SDFIDF), TDF - ivDMi2 (SDFivDMi2), and TDF - aNDFom-cp (SDFaNDFom-cp). Soluble fibre determined directly (SDF) or by difference, as SDFivDMi2 were not different (109 g/kg DM, on average). However, when it was calculated as SDFaNDFom-cp the value was 40% higher (153 g/kg DM, P < 0.05), whereas SDFIDF (124 g/kg DM) did not differ from any of the other methods. The correlation between the four methods was high (r ≥ 0.96. P ≤ 0.001. n = 13), but it decreased or even disappeared when SBP pectins and SBP were excluded and a lower and more narrow range of variation of soluble fibre was used. In experiment 2, the ivDMi2 using crucibles (reference method) were compared to those made using individual or collective ankom bags in order to simplify the determination of SDFivDMi2. The ivDMi2 was not different when using crucibles or individual or collective ankom bags. In experiment 3, the potential interference between soluble fibre and intestinal mucin determinations was studied using rabbit intestinal raw mucus, digesta and SBP pectins, lignocelluloses and a rabbit diet. An interference was observed between the determinations of soluble fibre and crude mucin, as the content of TDF and apparent crude mucin were high in SBP pectins (994 and 709 g/kg DM) and rabbit intestinal raw mucus (571 and 739 g/kg DM). After a pectinase treatment, the coefficient of apparent mucin recovery of SBP pectins was close to zero, whereas that of rabbit mucus was not modified. An estimation of the crude mucin carbohydrates retained in digesta TDF is proposed to correct TDF and soluble fibre digestibility. In conclusion, the values of soluble fibre depend on the methodology used. The contamination of crude mucin with soluble fibre is avoided using pectinase. The second study focused on the effect of type of fibre, site of fermentation, method for quantifying insoluble and soluble dietary fibre, and their correction for intestinal mucin on fibre digestibility. Three diets differing in soluble fibre were formulated (85 g/kg DM soluble fibre, in the low soluble fibre [LSF] diet; 102 g/kg DM in the medium soluble fibre [MSF] diet; and 145 g/kg DM in the high soluble fibre [HSF] diet). They were obtained by replacing half of the dehydrated alfalfa in the MSF diet with a mixture of beet and apple pulp (HSF diet) or with a mix of oat hulls and soybean protein (LSF diet). Thirty rabbits with ileal T-cannulas were used to determine total tract apparent digestibility (CTTAD) and ileal apparent digestibility (CIAD). Caecal digestibility was determined by difference between CTTAD and CIAD. Insoluble fibre was measured as aNDFom-cp, IDF, and ivDMi2, whereas soluble fibre was calculated as SDFaNDFom-cp, SDFIDF, SDFivDMi2. The intestinal mucin content was used to correct the TDF and soluble fibre digestibility. Ileal and faecal concentration of mucin increased from the LSF to the HSF diet group (P < 0.01). Once corrected for intestinal mucin, The CTTAD and CIAD of TDF and soluble fibre increased whereas caecal digestibility decreased (P < 0.01). The CIAD of TDF increased from the LSF to the HSF diet group (0.12 vs. 0.281. P < 0.01), with no difference in the caecal digestibility (0.264), resulting in a higher CTTAD from the LSF to the HSF diet group (P < 0.01). The CIAD of insoluble fibre increased from the LSF to the HSF diet group (0.113 vs. 0.21. P < 0.01), with no difference in the caecal digestibility (0.139) and no effect of fibre method, resulting in a higher CTTAD for rabbits fed the HSF diet compared with the MSF and LSF diets groups (P < 0.01). The CTTAD of aNDFom-cp was higher compared with IDF or ivDMi2 (P < 0.01). The CIAD of soluble fibre was higher for the HSF than for the LSF diet group (0.436 vs. 0.145. P < 0.01) and fibre method did not affect it. Caecal soluble fibre digestibility decreased from the LSF to the HSF diet group (0.721 vs. 0.492. P < 0.05). The lowest caecal and faecal soluble fibre digestibility was measured using SDFaNDFom-cp (P < 0.01). There was a high correlation among the digestibilities of soluble fibre measured as SDFaNDFom-cp, SDFIDF, and SDFivDMi2. Therefore, these methodologies provide similar information. However, the method that seems to be globally better related to the physiological traits (ileal flow of mucins, and relative weight of the caecum and caecal pH from previous work) was the SDFaNDFom-cp. In conclusion, a correction for intestinal mucin is necessary for ileal TDF and soluble fibre digestibility whereas the selection of the fibre method has a minor relevance. The inclusion of sugar beet and apple pulp increased the amount of TDF fermented in the small intestine. The third study examined the effect of fibre fractions of sugar beet pulp (SBP) and the method for quantifying soluble and insoluble fibre on soluble and insoluble fibre digestibility and digestive traits. Four diets were formulated with similar level of insoluble fibre (aNDFom-cp: 315 g/kg DM) and protein (167 g/kg DM). Control diet contained the lowest level of soluble fibre (30.3 g/kg DM, including sunflower hulls and straw as sole sources of fibre). A second diet was obtained by replacing 60 g starch/kg of control diet with SBP pectins (82.9 g soluble fibre/kg DM). Two more diets were obtained by replacing part of the fibrous sources of the control diet with either insoluble SBP fibre or SBP (42.2 and 82.3 g soluble fibre/kg DM, respectively). Fifty six (14/diet) rabbits weighing 2.40  0.213 kg were used to determine faecal and ileal digestibility of total dietary fibre (TDF), insoluble dietary fibre (IDF), neutral detergent fibre corrected for ash and CP (aNDFom-cp) and soluble fibre estimated as SDFaNDFom-cp and SDFIDF. Faecal and ileal mucin content was used to correct TDF and soluble fibre digestibility. It was also recorded weight of digestive segments and digesta pH. Rabbits fed insoluble SBP showed the lowest feed intake with respect to the other 3 diets (124 vs. 139 g/d, respectively. P < 0.05). Ileal mucin flow was higher (P < 0.05) in animals fed pectin and SBP diets (9.0 g/d, as average) than those fed control diet (4.79 g/d), showing InsSBP group an intermediate value. No differences on mucin content were detected at faecal level. There was no diet effect on the CIAD of TDF (corrected for mucin) and insoluble fibre. Fibre methodology influenced the CIAD of insoluble fibre (0.123 for IDF vs. 0.108 for aNDFom-cp. P < 0.01). Anyway, the amount of insoluble fibre fermented before the caecum did not differ between both methods (4.9 g/d, on average). Rabbits fed insoluble SBP and SBP diets showed the highest CTTAD of insoluble fibre (0.266 on average vs. 0.106 for control group), whereas those fed pectin diet had an intermediate value (0.106. P < 0.001). The CTTAD of insoluble fibre measured with IDF was higher than that measured with aNDFom-cp (by 20%. P < 0.001). It led that the amount of insoluble fibre fermented along the digestive tract were different (9.5 or 7.5 g/d when calculated as IDF or aNDFom-cp, respectively; P < 0.001). When the CIAD of soluble fibre was corrected for mucin they became positive (P < 0.001) except for control group measured as SDFIDF. Once corrected for mucin content, rabbits fed soluble fibre from SBP (pectin and SBP groups) showed higher CIAD of soluble fibre than control group (0.483 vs. -0.019. respectively), whereas the value for insoluble SBP group was intermediate 0.274. The CTTAD of soluble fibre (mucin corrected) was similar among diets 0.93. Rabbits fed with SBP and insoluble SBP diets showed higher total digestive tract and stomach relative weight than those fed pectin and control diets (by 11 and 56 %. respectively, P < 0.05). The caecal relative weight did not differ in rabbits fed pectin, insoluble SBP, and SBP diets (62 g/kg BW, as average) and they were on average 16% higher (P < 0.001) than in control group. Caecal content of rabbits fed SBP diet was more acid than those fed control diet (5.64 vs. 6.03. P < 0.001), whereas those from pectin and insoluble SBP diets showed intermediate values. In conclusion, the positive effect of SBP fibre on ileal mucin flow was due to both its soluble and insoluble fibre fraction. Half of the soluble SBP fibre was degraded before the caecum independently it came from pectin or SBP. The caecal pH correlated better with the ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. The last study examined the effect of soluble and insoluble fibre of apple pulp on fibre digestibility and digestive traits. Four diets were formulated with similar level of insoluble fibre (aNDFom-cp: 324 g/kg DM) and protein (18.6 g/kg DM). Control diet contained the lowest level of soluble fibre (46 g soluble fibre/kg DM, including oat hulls and straw as sole sources of fibre). A second diet was obtained by replacing 60 g starch/kg of control diet with apple pectins (105 g soluble fibre/kg DM). Two more diets were obtained by substituting part of the fibrous sources of the control diet by either apple pulp or depectinized apple pulp (93 and 71 g soluble fibre/kg, respectively). The CTTAD was determined in 23 rabbits/diet weighing 1.68  0.23 kg BW, and 23 rabbits/diet were slaughtered at 60 d of age to collect ileal digesta to determine CIAD and record other digestive traits. Soluble fibre from apple stimulated ileal flow of mucin (P = 0.002), but depectinized apple pulp did not. The correction for mucin increased the digestibility of crude protein, total dietary fibre, and soluble fibre at faecal, but especially at ileal level, depending in this case on the diet. Around half of the soluble fibre in diets containing any fibre fraction from apple was degraded at ileal level, with no differences among these diets (0.46 vs. 0.066 for control group, P=0.046). Faecal soluble fibre digestibility was 0.86 on average for all groups). Inclusion of the apple insoluble fibre improved NDF digestibility at faecal (0.222 vs. 0.069. P < 0.05) but not at ileal level. Caecal content of rabbits fed apple pulp diet was more acid than those fed control diet (5.55 vs. 5.95. P < 0.001), whereas those from pectin and depectinised apple pulp diets showed intermediate values. In conclusion, the positive effect of apple fibre on ileal mucin flow was mainly due to its soluble fibre fraction. Half of the soluble apple fibre was degraded before the caecum independently it came from pectin or apple pulp. The caecal pH correlated better with the total and ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. The results obtained in the studies 2, 3 and 4 were considered together. These results showed that the mucin correction is necessary when the TDF and soluble fibre digestibility is determined, and it correction is more important at ileal level and in diets with low level of soluble fibre. On another hand, incrementing the soluble fibre using sugar beet and apple pulp increased the amount of TDF disappear before the caecum. Moreover, the caecal pH correlated better with the ileal amount of fermented TDF in the digestive tract rather than with that fermented in the caecum. This suggests that an ileal fibre solubilisation may occur rather than ileal fermentation. Therefore the implications of this work were that: the estimation of soluble fibre as SDFaNDFom-cp is an adequate method considering its correlation with the physiological effects; and the TDF and soluble fibre digestibility must be corrected with intestinal mucins, especially when the ileal digestibility is determined.

Validation and aplication of Bioelectrical Impedance (BIA) method to determine body and carcass composition and nutrient retention of growing rabbits = Validación y aplicación de la técnica de la Impedancia Bioeléctrica (BIA) para determinar la composición corporal, de la canal y la retención de nutrientes de conejos en crecimiento

Los objetivos de esta tesis fueron 1) obtener y validar ecuaciones de predicción para determinar in vivo la composición corporal y de la canal de conejos en crecimiento de 25 a 77 días de vida utilizando la técnica de la Impedancia Bioeléctrica (BIA), y 2) evaluar su aplicación para determinar diferencias en la composición corporal y de la canal, así como la retención de nutrientes de animales alimentados con diferentes fuentes y niveles de grasa. El primer estudio se realizó para determinar y después validar, usando datos independientes, las ecuaciones de predicción obtenidas para determinar in vivo la composición corporal de los conejos en crecimiento. Se utilizaron 150 conejos a 5 edades distintas (25, 35, 49, 63 y 77 días de vida), con un rango de pesos entre 231 y 3138 g. Para determinar los valores de resistencia (Rs,) and reactancia (Xc,) se usó un terminal (Model BIA-101, RJL Systems, Detroit, MI USA) con cuatro electrodos. Igualmente se registró la distancia entre electrodos internos (D), la longitud corporal (L) y el peso vivo (PV) de cada animal. En cada edad, los animales fueron molidos y congelados (-20 ºC) para su posterior análisis químico (MS, grasa, proteína, cenizas y EB). El contenido en grasa y energía de los animales se incrementó, mientras que los contenidos en proteína, cenizas y agua de los animales disminuyeron con la edad. Los valores medios de Rs, Xc, impedancia (Z), L y D fueron 83.5 ± 23.1 , 18.2 ± 3.8 , 85.6 ± 22.9 , 30.6 ± 6.9 cm y 10.8 ± 3.1 cm. Se realizó un análisis de regresión lineal múltiple para determinar las ecuaciones de predicción, utilizando los valores de PV, L and Z como variables independientes. Las ecuaciones obtenidas para estimar los contenidos en agua (g), PB (g), grasa (g), cenizas (g) and EB (MJ) tuvieron un coeficiente de determinación de (R2) de 0.99, 0.99, 0.97, 0.98 y 0.99, y los errores medios de predicción relativos (EMPR) fueron: 2.79, 6.15, 24.3, 15.2 y 10.6%, respectivamente. Cuando el contenido en agua se expresó como porcentaje, los valores de R2 y EMPR fueron 0.85 and 2.30%, respectivamente. Al predecir los contenidos en proteína (%MS), grasa (%MS), cenizas (%MS) y energía (kJ/100 g MS), se obtuvieron valores de 0.79, 0.83, 0.71 y 0.86 para R2, y 5.04, 18.9, 12.0 y 3.19% para EMPR. La reactancia estuvo negativamente correlacionada con el contenido en agua, cenizas y PB (r = -0.32, P < 0.0001; r = -0.20, P < 0.05; r = -0.26, P < 0.01) y positivamente correlacionada con la grasa y la energía (r = 0.23 y r = 0.24; P < 0.01). Sin embargo, Rs estuvo positivamente correlacionada con el agua, las cenizas y la PB (r = 0.31, P < 0.001; r = 0.28, P < 0.001; r = 0.37, P < 0.0001) y negativamente con la grasa y la energía (r = -0.36 y r = -0.35; P < 0.0001). Igualmente la edad estuvo negativamente correlacionada con el contenido en agua, cenizas y proteína (r = -0.79; r = -0.68 y r = -0.80; P < 0.0001) y positivamente con la grasa y la energía (r = 0.78 y r = 0.81; P < 0.0001). Se puede concluir que el método BIA es una técnica buena y no invasiva para estimar in vivo la composición corporal de conejos en crecimiento de 25 a 77 días de vida. El objetivo del segundo estudio fue determinar y validar con datos independientes las ecuaciones de predicción obtenidas para estimar in vivo la composición de la canal eviscerada mediante el uso de BIA en un grupo de conejos de 25 a 77 días, así como testar su aplicación para predecir la retención de nutrientes y calcular las eficacias de retención de la energía y del nitrógeno. Se utilizaron 75 conejos agrupados en 5 edades (25, 35, 49, 63 y 77 días de vida) con unos pesos que variaron entre 196 y 3260 g. Para determinar los valores de resistencia (Rs, ) y reactancia (Xc, ) se usó un terminal (Model BIA-101, RJL Systems, Detroit, MI USA) con cuatro electrodos. Igualmente se registró la distancia entre electrodos internos (D), la longitud corporal (L) y el peso vivo (PV) del cada animal. En cada edad, los animales fueron aturdidos y desangrados. Su piel, vísceras y contenido digestivo fueron retirados, y la canal oreada fue pesada y molida para posteriores análisis (MS, grasa, PB, cenizas y EB). Los contenidos en energía y grasa aumentaron mientras que los de agua, cenizas y proteína disminuyeron con la edad. Los valores medios de Rs, Xc, impedancia (Z), L y D fueron 95.9±23.9 , 19.5±4.7 , 98.0±23.8 , 20.6±6.3 cm y 13.7±3.1 cm. Se realizó un análisis de regresión linear múltiple para determinar las ecuaciones de predicción, utilizando los valores de PV, L and Z como variables independientes. Los coeficientes de determinación (R2) de las ecuaciones obtenidas para estimar los contenidos en agua (g), PB (g), grasa (g), cenizas (g) and EB (MJ) fueron: 0.99, 0.99, 0.95, 0.96 y 0.98, mientras que los errores medios de predicción relativos (EMPR) fueron: 4.20, 5.48, 21.9, 9.10 y 6.77%, respectivamente. Cuando el contenido en agua se expresó como porcentaje, los valores de R2 y EMPR fueron 0.79 y 1.62%, respectivamente. Cuando se realizó la predicción de los contenidos en proteína (%MS), grasa (%MS), cenizas (%MS) y energía (kJ/100 g MS), los valores de R2 fueron 0.68, 0.76, 0.66 and 0.82, y los de RMPE: 3.22, 10.5, 5.82 and 2.54%, respectivamente. La reactancia estuvo directamente correlacionada con el contenido en grasa (r = 0.24, P < 0.05), mientras que la resistencia guardó una correlación positiva con los contenidos en agua, cenizas y proteína (r = 0.55, P < 0.001; r = 0.54, P < 0.001; r = 0.40, P < 0.005) y negativa con la grasa y la energía (r = -0.44 y r = -0.55; P < 0.001). Igualmente la edad estuvo negativamente correlacionada con los contenidos en agua, cenizas y PB (r = -0.94; r = -0.85 y r = -0.75; P < 0.0001) y positivamente con la grasa y la energía (r = 0.89 y r = 0.90; P < 0.0001). Se estudió la eficacia global de retención de la energía (ERE) y del nitrógeno (ERN) durante todo el periodo de cebo (35-63 d), Los valores de ERE fueron 20.4±7.29%, 21.0±4.18% and 20.8±2.79% en los periodos 35 a 49, 49 a 63 y 35 a 63 d, respectivamente. ERN fue 46.9±11.7%, 34.5±7.32% y 39.1±3.23% para los mismos periodos. La energía fue retenida en los tejidos para crecimiento con una eficiencia del 52.5% y la eficiencia de retención de la energía como proteína y grasa fue de 33.3 y 69.9% respectivamente. La eficiencia de utilización del nitrógeno para crecimiento fue cercana al 77%. Este trabajo muestra como el método BIA es técnica buena y no invasiva para determinar in vivo la composición de la canal y la retención de nutrientes en conejos en crecimiento de 25 a 77 días de vida. En el tercer estudio, se llevaron a cabo dos experimentos con el fin de investigar los efectos del nivel de inclusión y de la fuente de grasa, sobre los rendimientos productivos, la mortalidad, la retención de nutrientes y la composición corporal total y de la canal eviscerada de conejos en crecimiento de 34 a 63 d de vida. En el Exp. 1 se formularon 3 dietas con un diseño experimental factorial 3 x 2 con el tipo de grasa utilizada: Aceite de Soja (SBO), Lecitinas de Soja (SLO) y Manteca (L) y el nivel de inclusión (1.5 y 4%) como factores principales. El Exp. 2 también fue diseñado con una estructura factorial 3 x 2, pero usando SBO, Aceite de Pescado (FO) y Aceite de Palmiste como fuentes de grasa, incluidas a los mismos niveles que en el Exp. 1. En ambos experimentos 180 animales fueron alojados en jaulas individuales (n=30) y 600 en jaulas colectivas en grupos de 5 animales (n=20). Los animales alimentados con un 4% de grasa añadida tuvieron unos consumos diarios y unos índices de conversión más bajos que aquellos alimentados con las dietas con un 1.5% de grasa. En los animales alojados en colectivo del Exp. 1, el consumo fue un 4.8% más alto en los que consumieron las dietas que contenían manteca que en los animales alimentados con las dietas SBO (P = 0.036). La inclusión de manteca tendió a reducir la mortalidad (P = 0.067) en torno al 60% y al 25% con respecto a las dietas con SBO y SLO, respectivamente. La mortalidad aumentó con el nivel máximo de inclusión de SLO (14% vs. 1%, P < 0.01), sin observarse un efecto negativo sobre la mortalidad con el nivel más alto de inclusión de las demás fuentes de grasa utilizadas. En los animales alojados colectivo del Exp. 2 se encontró una disminución del consumo (11%), peso vivo a 63 d (4.8%) y de la ganancia diaria de peso (7.8%) con la inclusión de aceite de pescado con respecto a otras dietas (P < 0.01). Los dos últimos parámetros se vieron especialmente más reducidos cuando en las dietas se incluyó el nivel más alto de FO (5.6 y 9.5%, respectivamente, (P < 0.01)). Los animales alojados individualmente mostraron unos resultados productivos muy similares. La inclusión de aceite pescado tendió (P = 0.078) a aumentar la mortalidad (13.2%) con respecto al aceite de palmiste (6.45%), siendo intermedia para las dietas que contenían SBO (8.10%). La fuente o el nivel de grasa no afectaron la composición corporal total o de la canal eviscerada de los animales. Un incremento en el nivel de grasa dio lugar a una disminución de la ingesta de nitrógeno digestible (DNi) (1.83 vs. 1.92 g/d; P = 0.068 en Exp. 1 y 1.79 vs. 1.95 g/d; P = 0.014 en Exp. 2). Debido a que el nitrógeno retenido (NR) en la canal fue similar para ambos niveles (0.68 g/d (Exp. 1) y 0.71 g/d (Exp. 2)), la eficacia total de retención del nitrógeno (ERN) aumentó con el nivel máximo de inclusión de grasa, pero de forma significativa únicamente en el Exp. 1 (34.9 vs. 37.8%; P < 0.0001), mientras que en el Exp. 2 se encontró una tendencia (36.2 vs. 38.0% en Exp. 2; P < 0.064). Como consecuencia, la excreción de nitrógeno en heces fue menor en los animales alimentados con el nivel más alto de grasa (0.782 vs. 0.868 g/d; P = 0.0001 en Exp. 1, y 0.745 vs. 0.865 g/d; P < 0.0001 en Exp.2) al igual que el nitrógeno excretado en orina (0.702 vs. 0.822 g/d; P < 0.0001 en Exp. 1 y 0.694 vs. 0.7999 g/d; P = 0.014 en Exp.2). Aunque no hubo diferencias en la eficacia total de retención de la energía (ERE), la energía excretada en heces disminuyó al aumentar el nivel de inclusión de grasa (142 vs. 156 Kcal/d; P = 0.0004 en Exp. 1 y 144 vs. 154 g/d; P = 0.050 en Exp. 2). Sin embargo, la energía excretada como orina y en forma de calor fue mayor en el los animales del Exp. 1 alimentados con el nivel más alto de grasa (216 vs. 204 Kcal/d; P < 0.017). Se puede concluir que la manteca y el aceite de palmiste pueden ser considerados como fuentes alternativas al aceite de soja debido a la reducción de la mortalidad, sin efectos negativos sobre los rendimientos productivos o la retención de nutrientes. La inclusión de aceite de pescado empeoró los rendimientos productivos y la mortalidad durante el periodo de crecimiento. Un aumento en el nivel de grasa mejoró el índice de conversión y la eficacia total de retención de nitrógeno. ABSTRACT The aim of this Thesis is: 1) to obtain and validate prediction equations to determine in vivo whole body and carcass composition using the Bioelectrical Impedance (BIA) method in growing rabbits from 25 to 77 days of age, and 2) to study its application to determine differences on whole body and carcass chemical composition, and nutrient retention of animals fed different fat levels and sources. The first study was conducted to determine and later validate, by using independent data, the prediction equations obtained to assess in vivo the whole body composition of growing rabbits. One hundred and fifty rabbits grouped at 5 different ages (25, 35, 49, 63 and 77 days) and weighing from 231 to 3138 g were used. A four terminal body composition analyser was used to obtain resistance (Rs, ) and reactance (Xc, ) values (Model BIA-101, RJL Systems, Detroit, MI USA). The distance between internal electrodes (D, cm), body length (L, cm) and live BW of each animal were also registered. At each selected age, animals were slaughtered, ground and frozen (-20 ºC) for later chemical analyses (DM, fat, CP, ash and GE). Fat and energy body content increased with the age, while protein, ash, and water decreased. Mean values of Rs, Xc, impedance (Z), L and D were 83.5 ± 23.1 , 18.2 ± 3.8 , 85.6 ± 22.9 , 30.6 ± 6.9 cm and 10.8 ± 3.1 cm. A multiple linear regression analysis was used to determine the prediction equations, using BW, L and Z data as independent variables. Equations obtained to estimate water (g), CP (g), fat (g), ash (g) and GE (MJ) content had, respectively, coefficient of determination (R2) values of 0.99, 0.99, 0.97, 0.98 and 0.99, and the relative mean prediction error (RMPE) was: 2.79, 6.15, 24.3, 15.2 and 10.6%, respectively. When water was expressed as percentage, the R2 and RMPE were 0.85 and 2.30%, respectively. When prediction of the content of protein (%DM), fat (%DM), ash (%DM) and energy (kJ/100 g DM) was done, values of 0.79, 0.83, 0.71 and 0.86 for R2, and 5.04, 18.9, 12.0 and 3.19% for RMPE, respectively, were obtained. Reactance was negatively correlated with water, ash and CP content (r = -0.32, P < 0.0001; r = -0.20, P < 0.05; r = -0.26, P < 0.01) and positively correlated with fat and GE (r = 0.23 and r = 0.24; P < 0.01). Otherwise, resistance was positively correlated with water, ash and CP (r = 0.31, P < 0.001; r = 0.28, P < 0.001; r = 0.37, P < 0.0001) and negatively correlated with fat and energy (r = -0.36 and r = -0.35; P < 0.0001). Moreover, age was negatively correlated with water, ash and CP content (r = -0.79; r = -0.68 and r = -0.80; P < 0.0001) and positively correlated with fat and energy (r = 0.78 and r = 0.81; P < 0.0001). It could be concluded that BIA is a non-invasive good method to estimate in vivo whole body composition of growing rabbits from 25 to 77 days of age. The aim of the second study was to determine and validate with independent data, the prediction equations obtained to estimate in vivo carcass composition of growing rabbits by using the results of carcass chemical composition and BIA values in a group of rabbits from 25 to 77 days. Also its potential application to predict nutrient retention and overall energy and nitrogen retention efficiencies was analysed. Seventy five rabbits grouped at 5 different ages (25, 35, 49, 63 and 77 days) with weights ranging from 196 to 3260 g were used. A four terminal body composition analyser (Model BIA-101, RJL Systems, Detroit, MI USA) was used to obtain resistance (Rs, ) and reactance (Xc, ) values. The distance between internal electrodes (D, cm), body length (L, cm) and live weight (BW, g) were also registered. At each selected age, all the animals were stunned and bled. The skin, organs and digestive content were removed, and the chilled carcass were weighed and processed for chemical analyses (DM, fat, CP, ash and GE). Energy and fat increased with the age, while CP, ash, and water decreased. Mean values of Rs, Xc, impedance (Z), L and D were 95.9±23.9 , 19.5±4.7 , 98.0±23.8 , 20.6±6.3 cm y 13.7±3.1 cm. A multiple linear regression analysis was done to determine the equations, using BW, L and Z data as parameters. Coefficient of determination (R2) of the equations obtained to estimate water (g), CP (g), fat (g), ash (g) and GE (MJ) content were: 0.99, 0.99, 0.95, 0.96 and 0.98, and relative mean prediction error (RMPE) were: 4.20, 5.48, 21.9, 9.10 and 6.77%, respectively. When water content was expressed as percentage, the R2 and RMPE were 0.79 and 1.62%, respectively. When prediction of protein (%DM), fat (%DM), ash (%DM) and energy (kJ/100 g DM) content was done, R2 values were 0.68, 0.76, 0.66 and 0.82, and RMPE: 3.22, 10.5, 5.82 and 2.54%, respectively. Reactance was positively correlated with fat content (r = 0.24, P < 0.05) while resistance was positively correlated with water, ash and protein carcass content (r = 0.55, P < 0.001; r = 0.54, P < 0.001; r = 0.40, P < 0.005) and negatively correlated with fat and energy (r = -0.44 and r = -0.55; P < 0.001). Moreover, age was negatively correlated with water, ash and CP content (r = -0.97, r = -0.95 and r = -0.89, P < 0.0001) and positively correlated with fat and GE (r = 0.95 and r = 0.97; P < 0.0001). In the whole growing period (35-63 d), overall energy retention efficiency (ERE) and nitrogen retention efficiency (NRE) were studied. The ERE values were 20.4±7.29%, 21.0±4.18% and 20.8±2.79%, from 35 to 49, 49 to 63 and from 35 to 63 d, respectively. NRE was 46.9±11.7%, 34.5±7.32% and 39.1±3.23% for the same periods. Energy was retained in body tissues for growth with an efficiency of approximately 52.5% and efficiency of the energy for protein and fat retention was 33.3 and 69.9%, respectively. Efficiency of utilization of nitrogen for growth was near to 77%. This work shows that BIA it’s a non-invasive and good method to estimate in vivo carcass composition and nutrient retention of growing rabbits from 25 to 77 days of age. In the third study, two experiments were conducted to investigate the effect of the fat addition and source, on performance, mortality, nutrient retention, and the whole body and carcass chemical composition of growing rabbits from 34 to 63 d. In Exp. 1 three diets were arranged in a 3 x 2 factorial structure with the source of fat: Soybean oil (SBO), Soya Lecithin Oil (SLO) and Lard (L) and the dietary fat inclusion level (1.5 and 4%) as the main factors. Exp. 2 had also arranged as a 3 x 2 factorial design, but using SBO, Fish Oil (FO) and Palmkernel Oil (PKO) as fat sources, and included at the same levels than in Exp. 1. In both experiments 180 animals were allocated in individual cages (n=30) and 600 in collectives cages, in groups of 5 animals (n=20). Animals fed with 4% dietary fat level showed lower DFI and FCR than those fed diets with 1.5%. In collective housing of Exp. 1, DFI was a 4.8% higher in animals fed with diets containing lard than SBO (P = 0.036), being intermediate for diet with SLO. Inclusion of lard also tended to reduce mortality (P = 0.067) around 60% and 25% with respect SBO and SLO diets, respectively. Mortality increased with the greatest level of soya lecithin (14% vs. 1%, P < 0.01). In Exp. 2 a decrease of DFI (11%), BW at 63 d (4.8%) and DWG (7.8%) were observed with the inclusion of fish oil with respect the other two diets (P < 0.01). These last two traits impaired with the highest level of fish oil (5.6 and 9.5%, respectively, (P < 0.01)). Animals housed individually showed similar performance results. The inclusion of fish oil also tended to increase (P = 0.078) mortality (13.2%) with respect palmkernel oil (6.45%), being mortality of SBO intermediate (8.10%). Fat source and level did not affect the whole body or carcass chemical composition. An increase of the fat sources addition led to a decrease of the digestible nitrogen intake (DNi) (1.83 vs. 1.92 g/d; P = 0.068 in Exp. 1 and 1.79 vs. 1.95 g/d; P = 0.014 in Exp. 2). As the nitrogen retained (NR) in the carcass was similar for both fat levels (0.68 g/d (Exp. 1) and 0.71 g/d (Exp. 2)), the overall efficiency of N retention (NRE) increased with the highest level of fat, but only reached significant level in Exp. 1 (34.9 vs. 37.8%; P < 0.0001), while in Exp. 2 a tendency was found (36.2 vs. 38.0% in Exp. 2; P < 0.064). Consequently, nitrogen excretion in faeces was lower in animals fed with the highest level of fat (0.782 vs. 0.868 g/d; P = 0.0001 in Exp. 1, and 0.745 vs. 0.865 g/d; P < 0.0001 in Exp.2). The same effect was observed with the nitrogen excreted as urine (0.702 vs. 0.822 g/d; P < 0.0001 in Exp. 1 and 0.694 vs. 0.7999 g/d; P = 0.014 in Exp.2). Although there were not differences in ERE, the energy excreted in faeces decreased as fat level increased (142 vs. 156 Kcal/d; P = 0.0004 in Exp. 1 and 144 vs. 154 g/d; P = 0.050 in Exp. 2). In Exp. 1 the energy excreted as urine and heat production was significantly higher when animals were fed with the highest level of dietary fat (216 vs. 204 Kcal/d; P < 0.017). It can be concluded that lard and palmkernel oil can be considered as alternative sources to soybean oil due to the reduction of the mortality, without negative effects on performances or nutrient retention. Inclusion of fish impaired animals´ productivity and mortality. An increase of the dietary fat level improved FCR and overall protein efficiency retention.

Effect of type of fiber, site of fermentation, and method of analysis on digestibility of soluble and insoluble fiber in rabbits

The effect of type of fiber, site of fermetation, method for quantifying insoluble and soluble dietary fiber, and their correction for intestinal mucin on fiber digestibility were examined in rabbits. Three diets differing in soluble fiber were formulated (8.5% soluble fiber, on DM basis, in the low soluble fiber [LSF] diet; 10.2% in the medium soluble fiber [MSF] diet; and 14.5% in the high soluble fiber [HSF] diet). They were obtained by replacing half of the dehydrated alfalfa in the MSF diet with a mixture of beet and apple pulp (HSF diet) or with a mix of oat hulls and soybean protein (LSF diet). Thirty rabbits with ileal T-cannulas were used to determine ileal and fecal digestibility. Cecal digestibility was determined by difference between fecal and ileal digestibility. Insoluble fiber was measured as NDF, insoluble dietary fiber (IDF), and in vitro insoluble fiber, whereas soluble fiber was calculated as the difference between total dietary fiber (TDF) and NDF (TDF_NDF), IDF (TDF-IDF), and in vitro insoluble fiber (TDF-in vitro insoluble fiber). The intestinal mucin content was used to correct the TDF and soluble fiber digestibility. Ileal and fecal concentration of mucin increased from the LSF to the HSF diet group (P < 0.01). Once corrected for intestinal mucin, ileal and fecal digestibility of TDF and soluble fiber increased whereas cecal digestibility decreased (P < 0.01). Ileal digestibility of TDF increased from the LSF to the HSF diet group (12.0 vs. 28.1%; P < 0.01), with no difference in the cecum (26.4%), resulting in a higher fecal digestibility from the LSF to the HSF diet group (P < 0.01). Ileal digestibility of insoluble fiber increased from the LSF to the HSF diet group (11.3 vs. 21.0%; P < 0.01), with no difference in the cecum (13.9%) and no effect of fiber method, resulting in a higher fecal digestibility for rabbits fed the HSF diet compared with the MSF and LSF diets groups (P < 0.01).Fecal digestibility of NDF was higher compared with IDF or in vitro insoluble fiber (P < 0.01). Ileal soluble fiber digestibility was higher for the HSF than for the LSF diet group (43.6 vs. 14.5%; P < 0.01) and fiber method did not affect it. Cecal soluble fiber digestibility decreased from the LSF to the HSF diet group (72.1 vs. 49.2%; P < 0.05). The lowest cecal and fecal soluble fiber digestibility was measured using TDF-NDF (P < 0.01). In conclusion, a correction for intestinal mucin is necessary for ileal TDF and soluble fiber digestibility whereas the selection of the fiber method has a minor relevance. The inclusion of sugar beet and apple pulp increased the amount of TDF fermented in the small intestine.

Low cost 3D global instability analysis and flow sensitivity based on dynamic mode decomposition and high-order numerical tools

We explore the recently developed snapshot-based dynamic mode decomposition (DMD) technique, a matrix-free Arnoldi type method, to predict 3D linear global flow instabilities. We apply the DMD technique to flows confined in an L-shaped cavity and compare the resulting modes to their counterparts issued from classic, matrix forming, linear instability analysis (i.e. BiGlobal approach) and direct numerical simulations. Results show that the DMD technique, which uses snapshots generated by a 3D non-linear incompressible discontinuous Galerkin Navier?Stokes solver, provides very similar results to classical linear instability analysis techniques. In addition, we compare DMD results issued from non-linear and linearised Navier?Stokes solvers, showing that linearisation is not necessary (i.e. base flow not required) to obtain linear modes, as long as the analysis is restricted to the exponential growth regime, that is, flow regime governed by the linearised Navier?Stokes equations, and showing the potential of this type of analysis based on snapshots to general purpose CFD codes, without need of modifications. Finally, this work shows that the DMD technique can provide three-dimensional direct and adjoint modes through snapshots provided by the linearised and adjoint linearised Navier?Stokes equations advanced in time. Subsequently, these modes are used to provide structural sensitivity maps and sensitivity to base flow modification information for 3D flows and complex geometries, at an affordable computational cost. The information provided by the sensitivity study is used to modify the L-shaped geometry and control the most unstable 3D mode.