903 resultados para Optimized eco-productive paradigm
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The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides continuous measurements made with a WETLabs Eco-FL sensor mounted on the flowthrough system between June 4th, 2011 and March 30th, 2012. Data was recorded approximately every 10s. Two issues affected the data: 1. Periods when the water 0.2µm filtered water were used as blanks and 2. Periods where fluorescence was affected by non-photochemical quenching (NPQ, chlorophyll fluorescence is reduced when cells are exposed to light, e.g. Falkowski and Raven, 1997). Median data and their standard deviation were binned to 5min bins with period of light/dark indicated by an added variable (so that NPQ affected data could be neglected if the user so chooses). Data was first calibrated using HPLC data collected on the Tara (there were 36 data within 30min of each other). Fewer were available when there was no evident NPQ and the resulting scale factor was 0.0106 mg Chl m-3/count. To increase the calibration match-ups we used the AC-S data which provided a robust estimate of Chlorophyll (e.g. Boss et al., 2013). Scale factor computed over a much larger range of values than HPLC was 0.0088 mg Chl m-3/count (compared to 0.0079 mg Chl m-3/count based on manufacturer). In the archived data the fluorometer data is merged with the TSG, raw data is provided as well as manufacturer calibration constants, blank computed from filtered measurements and chlorophyll calibrated using the AC-S. For a full description of the processing of the Eco-FL please see Taillandier, 2015.
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The effects of inclusion of pea hulls (PH) in the diet on growth performance, development of the gastrointestinal tract and nutrient retention were studied in broilers from 1 to 18d of age. There were a control diet based on low fibre ingredients (69.3 total dietary fibre (16.1g crude fibre/kg)) and three additional diets that resulted from the dilution of the basal diet with 25, 50 and 75g PH/kg (81.2, 93.2, and 105.1g total dietary fibre/kg diet, respectively). Each treatment was replicated six times and the experimental unit was a cage with 12 chicks. Growth performance, development of the gastrointestinal tract and the coefficients of total tract apparent retention (CTTAR) of nutrients were recorded at 6, 12 and 18d of age. In addition, jejunal morphology was measured at 12 and 18d and the coefficients of apparent ileal digestibility (CAID) of nutrients at 18d of age. Pea hulls inclusion affected all the parameters studied. The inclusion of 25 and 50g PH/kg diet improved growth performance as compared to the control diet. The relative weight (g/kg body weight) of proventriculus (P≤0.01), gizzard (P≤0.001) and ceca (P≤0.05) increased linearly as the level of PH in the diet increased. The inclusion of PH affected quadratically (P≤0.01) villus height:crypt depth ratio with the highest value shown at 25g PH/kg. In general, the CTTAR and CAID of nutrients increased linearly and quadratically (P≤0.05) with increasing levels of PH, showing maximum values with PH level between 25 and 50g/kg diet. We conclude that the size of the digestive organs increases with increasing levels of PH in the diet. In general, the best performance and nutrient digestibility values were observed with levels of PH within the range of 25 and 50g/kg. Therefore, young broilers have a requirement for a minimum amount of dietary fibre. When pea hulls are used as a source of fibre, the level of total dietary fibre required for optimal performance is within the range of 81.2–93.2g/kg diet (25.6–35.0g crude fibre/kg diet). An excess of total dietary fibre (above 93.2g/kg diet) might reduce nutrient digestibility and growth performance to values similar to those observed with the control diet.
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A total of 200 (Landrace3Large White dam3Pietrain3Large White sire) gilts of 5063 days of age (23.361.47 kg BW) were used to investigate the effects of castration (intact gilt, IG v. castrated gilt, CG) and slaughter weight (SW; 106 v. 122 kg BW) on productive performance, carcass and meat quality. Four treatments were arranged factorially and five replicates of 10 pigs each per treatment. Half of the gilts were ovariectomized at 58 days of age (8 days after the beginning of the trial at 29.861.64 kg BW), whereas the other half remained intact. The pigs were slaughtered at 106 or 122 kg BW. Meat samples were taken at Musculus longissimus thoracis at the level of the last rib and subcutaneous fat samples were taken at the tail insertion. For the entire experimental period, CG had higher ( P,0.05) BW gain and higher ( P,0.001) backfat and Musculus gluteus medius fat thickness than IG. However, IG had higher ( P,0.05) loin and trimmed primal cut yields than CG. Meat quality was similar for IG and CG but the proportion of linoleic acid in subcutaneous fat was higher ( P,0.001) for IG. Pigs slaughtered at 122 kg BW had higher ( P,0.001) feed intake and poorer feed efficiency than pigs slaughtered at 106 kg BW. An increase in SW improved ( P,0.001) carcass yield but decreased ( P,0.05) trimmed primal cut yield. Meat from pigs slaughtered at the heavier BW was redder (a*; P,0.001) and had more ( P,0.01) intramuscular fat and less thawing ( P,0.05) and cooking ( P,0.10) loss than meat from pigs slaughtered at the lighter BW. In addition, pigs slaughtered at 122 kg BW had less ( P,0.01) linoleic acid content in subcutaneous fat than pigs slaughtered at 106 kg BW. Castration of gilts and slaughtering at heavier BW are useful practices for the production of heavy pigs destined to the dry-cured industry in which a certain amount of fat in the carcass is required. In contrast, when the carcasses are destined to fresh meat production, IG slaughtered at 106 kg BW is a more efficient alternative.
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The introduction of a low-temperature (LT) tail after P emitter diffusion was shown to lead to considerable improvements in electron lifetime and solar cell performance by different researchers. So far, the drawback of the investigated extended gettering treatments has been the lack of knowledge about optimum annealing times and temperatures and the important increase in processing time. In this manuscript, we calculate optimum annealing temperatures of Fe-contaminated Si wafers for different annealing durations. Subsequently, it is shown theoretically and experimentally that a relatively short LT tail of 15 min can lead to a significant reduction of interstitial Fe and an increase in electron lifetime. Finally, we calculate the potential improvement of solar cell efficiency when such a short-tail extended P diffusion gettering is included in an industrial fabrication process.
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Nonparametric belief propagation (NBP) is a well-known particle-based method for distributed inference in wireless networks. NBP has a large number of applications, including cooperative localization. However, in loopy networks NBP suffers from similar problems as standard BP, such as over-confident beliefs and possible nonconvergence. Tree-reweighted NBP (TRW-NBP) can mitigate these problems, but does not easily lead to a distributed implementation due to the non-local nature of the required so-called edge appearance probabilities. In this paper, we propose a variation of TRWNBP, suitable for cooperative localization in wireless networks. Our algorithm uses a fixed edge appearance probability for every edge, and can outperform standard NBP in dense wireless networks.
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The change towards a sustainable economic system represents a big challenge for the present as well as next generations. Such a process requires important long-term changes in technologies, lifestyle, infrastructures and institutions. In this scenario the innovation process is a crucial element for fostering sustainability as well as an egalitarian development in developing countries. For those reasons the concept of Eco-Innovation System is introduced and further considerations are provided for the case of less-developed countries. The paper illustrates that sustainable development is possible by exploiting local potential and traditional knowledge in order to achieve at the same time economic growth, social equality and environmental sustainability. In order to prove such an assumption a specific case study is described: The renewable energy sector in Bolivia. The case study summarizes many important dimensions of the innovation process in developing countries such as technological transfer, diffusion and adaptation, social dimension and development issues.
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A 12-wk experiment was conducted to investigate the effect of feeding program, dietary fiber, and CP content of the diet on productive performance of Ross broiler breeder hens (41 wk of age). There were 12 treatments arranged factorially with 2 levels of CP (14.5 vs. 17.4%), 3 fiber sources (0 vs. 3% inulin vs. 3% cellulose), and 2 levels of feed intake (160 vs. 208 g/d) that corresponded to restricted (R) or ad libitum (AL) feeding systems. The experimental diets contained 2,800 kcal ME with either 0.65 (14.5% CP) or 0.78% Lys (17.4% CP).
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The influence of the main cereal and supplemental fat of the diet on productive performance and egg quality was studied in 756 brown-egg laying hens from 22 to 54 weeks of age. The experiment was conducted as a completely randomized design with 9 treatments arranged factorially with 3 cereals (dented corn, soft wheat, and barley) and 3 types of fat [soy oil (SBO), acidulated soapstocks (AOS), and lard].
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In total of 504 Lohmann Brown hens were used to study the influence of the initial BW of the birds and the crude protein (CP) and fat content of the diet on performance and egg quality traits from 22 to 49 weeks of age. The experiment was completely randomized with 8 treatments arranged factorially with 2 initial BW (1,726 vs. 1,987g) and 4 diets with similar AMEn (2,750 kcal AMEn/ kg) and indispensable (lys, Met+Cys, Thr, and Trp) amino acid contents.
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Global analysis of logic programs can be performed effectively by the use of one of several existing efficient algorithms. However, the traditional global analysis scheme in which all the program code is known in advance and no previous analysis information is available is unsatisfactory in many situations. Incrementa! analysis of logic programs has been shown to be feasible and much more efficient in certain contexts than traditional (non-incremental) global analysis. However, incremental analysis poses additional requirements on the fixpoint algorithm used. In this work we identify these requirements, present an important class of strategies meeting the requirements, present sufficient a priori conditions for such strategies, and propose, implement, and evalúate experimentally a novel algorithm for incremental analysis based on these ideas. The experimental results show that the proposed algorithm performs very efficiently in the incremental case while being comparable to (and, in some cases, considerably better than) other state-of-the-art analysis algorithms even for the non-incremental case. We argüe that our discussions, results, and experiments also shed light on some of the many tradeoffs involved in the design of algorithms for logic program analysis.
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Distributed parallel execution systems speed up applications by splitting tasks into processes whose execution is assigned to different receiving nodes in a high-bandwidth network. On the distributing side, a fundamental problem is grouping and scheduling such tasks such that each one involves sufñcient computational cost when compared to the task creation and communication costs and other such practical overheads. On the receiving side, an important issue is to have some assurance of the correctness and characteristics of the code received and also of the kind of load the particular task is going to pose, which can be specified by means of certificates. In this paper we present in a tutorial way a number of general solutions to these problems, and illustrate them through their implementation in the Ciao multi-paradigm language and program development environment. This system includes facilities for parallel and distributed execution, an assertion language for specifying complex programs properties (including safety and resource-related properties), and compile-time and run-time tools for performing automated parallelization and resource control, as well as certification of programs with resource consumption assurances and efñcient checking of such certificates.
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This paper presents some brief considerations on the role of Computational Logic in the construction of Artificial Intelligence systems and in programming in general. It does not address how the many problems in AI can be solved but, rather more modestly, tries to point out some advantages of Computational Logic as a tool for the AI scientist in his quest. It addresses the interaction between declarative and procedural views of programs (deduction and action), the impact of the intrinsic limitations of logic, the relationship with other apparently competing computational paradigms, and finally discusses implementation-related issues, such as the efficiency of current implementations and their capability for efficiently exploiting existing and future sequential and parallel hardware. The purpose of the discussion is in no way to present Computational Logic as the unique overall vehicle for the development of intelligent systems (in the firm belief that such a panacea is yet to be found) but rather to stress its strengths in providing reasonable solutions to several aspects of the task.
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El objetivo general de esta Tesis Doctoral fue estudiar la influencia de diversos factores nutricionales y de manejo sobre la productividad y la calidad del huevo en gallinas ponedoras comerciales rubias. Los factores estudiados fueron: 1) Cereal principal y tipo de grasa en la dieta; 2) Nivel de proteína bruta y grasa en la dieta; 3) Nivel energético de la dieta; 4) Peso vivo al inicio del período de puesta. En el experimento 1, la influencia del cereal principal en la dieta y el tipo de grasa suplementada en la dieta sobre los parámetros productivos y la calidad del huevo fue estudiado en 756 gallinas rubias de la estirpe Lohmann desde la sem 22 hasta las 54 de vida. El experimento se realizó mediante un diseño completamente al azar con 9 tratamientos ordenados factorialmente, con 3 cereales bases (maíz, trigo blando y cebada) y 3 tipos de grasa que variaban en su contenido en ácido linoléico (aceite de soja, oleína vegetal mezcla y manteca). Todas las dietas satisfacian las recomendaciones nutricionales para gallinas ponedoras rubias según el NRC (1994) y FEDNA (2008). La unidad experimental fue la jaula para todas las variables. Cada tratamiento fue replicado 4 veces, y la unidad experimental estuvo formada por 21 gallinas alojadas en grupos de 7. Las dietas fueron formuladas con un contenido nutritivo similar, excepto para el ácido linoléico, que varió en función del tipo de cereal y grasa utilizado. Así, dependiendo de la combinación de estos elementos el contenido de este ácido graso varió desde un 0.8% (dieta trigo-manteca) a un 3.4% (dieta maíz-aceite de soja). Este rango de ácido linoléico permitió estimar el nivel mínimo de este nutriente en el pienso que permite maximizar el peso del huevo. Los parámetros productivos y la calidad del huevo se controlaron cada 28 días y el peso de las aves se midió individualmente al inicio y al final del experimento con el objetivo de estudiar la variación en el peso vivo de los animales. No se observaron interacciones entre el tipo de cereal y grasa en la dieta para ninguna de las variables productivas estudiadas. Los tratamientos experimentales no afectaron a las principales variables productivas (porcentaje de puesta, peso del huevo y masa de huevo). Sin embargo, la ganancia de peso fue mayor en gallinas alimentadas con maíz o trigo que las gallinas alimentadas con cebada (243 vs. 238 vs. 202 g, respectivamente; P< 0.05). En el mismo sentido, las gallinas alimentadas con manteca obtuvieron una mayor ganancia de peso que las gallinas alimentadas con aceite de soja u oleína vegetal (251 vs. 221 vs. 210 g, respectivamente; P< 0.05). En cuanto a las variables estudiadas en relación con la calidad del huevo, ninguna de las variables estudiadas se vio afectada por el tratamiento experimental, salvo la pigmentación de la yema. Así, las gallinas alimentadas con maíz como cereal principal obtuvieron una mayor puntuación en relación con la escala de color que las gallinas alimentadas con trigo y con cebada (9.0 vs. 8.3 vs. 8.3, respectivamente; P< 0.001). La pigmentación de la yema también se vio afectada por el tipo de grasa en la dieta, así, las gallinas alimentadas con manteca obtuvieron una mayor puntuación de color en relación con la escala de color que las gallinas alimentadas con aceite de soja u oleína vegetal (8.9 vs. 8.5 vs. 8.2, respectivamente; P< 0.001). La influencia del contenido en ácido linoléico respecto al peso de huevo y masa de huevo fue mayor a medida que el contenido de dicho ácido graso se redujo en la dieta. Así, la influencia de la dieta en los radios peso de huevo/g linoléico ingerido y masa de huevo/g linoléico ingerido fue significativamente mayor a medida que el contenido en dicho ácido graso disminuyo en la dieta (P< 0.001). Los resultados del ensayo indican que las gallinas ponedoras rubias no necesitan más de un 1.0% de ácido linoléico en la dieta para maximizar la producción y el tamaño del huevo. Además, se pudo concluir que los 3 cereales y las 3 grasas utilizadas pueden sustituirse en la dieta sin ningún perjuicio productivo o referente a la calidad del huevo siempre que los requerimientos de los animales sean cubiertos. En el experimento 2, la influencia del nivel de proteína bruta y el contenido de grasa de la dieta sobre los parámetros productivos y la calidad del huevo fue estudiado en 672 gallinas ponedoras rubias de la estirpe Lohmann entre las sem 22 y 50 de vida. El experimento fue conducido mediante un diseño completamente al azar con 8 tratamientos ordenados factorialmente con 4 dietas y 2 pesos vivos distintos al inicio de puesta (1592 vs. 1860g). Tres de esas dietas diferían en el contenido de proteína bruta (16.5%, 17.5% y 18.5%) y tenían un contenido en grasa añadida de 1.8%. La cuarta dieta tenía el nivel proteico más elevado (18.5%) pero fue suplementada con 3.6% de grasa añadida en vez de 1.8%. Cada tratamiento fue replicado 4 veces y la unidad experimental consistió en 21 gallinas alojadas dentro de grupos de 7 animales en 3 jaulas contiguas. Todas las dietas fueron isocalóricas (2750 kcal EMAn/kg) y cubrieron las recomendaciones en aminoácidos para gallinas ponedoras rubias (Arg, Ile, Lys, Met, Thr, Trp, TSAA y Val) según el NRC (1994) y FEDNA (2008). Los efectos de los tratamientos sobre las variables productivas y la calidad de huevo fueron estudiados cada 28 días. La dieta no afecto a ninguna de las variables productivas estudiadas a lo largo del período productivo. Sin embargo, el peso inicial origino que las gallinas pesadas consumieran más (120.6 vs. 113.9 g; P< 0.001), obtuvieran un porcentaje de puesta mayor (92.5 vs. 89.8%; P< 0.01) y un peso del huevo mayor (64.9 vs. 62.4 g; P< 0.001) que las gallinas ligeras. El peso inicial de las gallinas no afecto al IC por kg de huevo ni a la mortalidad, sin embargo, la ganancia de peso fue mayor (289 vs. 233 g; P< 0.01) y el IC por docena de huevos fue mejor (1.52 vs. 1.57; P< 0.01) en las gallinas ligeras que en las gallinas pesadas. En cuanto a la calidad del huevo, la dieta no influyó sobre ninguna de las variables estudiadas. Los resultados del ensayo muestran que las gallinas ponedoras rubias, independientemente de su peso vivo al inicio de la puesta, no necesitan una cantidad de proteína bruta superior a 16.5% para maximizar la producción, asegurando que las dietas cubren los requerimientos en AA indispensables. Asimismo, se puedo concluir que las gallinas con un peso más elevado al inicio de puesta producen más masa de huevo que las gallinas con un peso más bajo debido a que las primeras producen más cantidad de huevos y más pesados. Sin embargo, ambos grupos de peso obtuvieron el mismo IC por kg de huevo y las gallinas más livianas en peso obtuvieron un mejor IC por docena de huevo que las pesadas. En el experimento 3 la influencia de la concentración energética sobre los parámetros productivos y la calidad del huevo fue estudiada en 520 gallinas ponedoras rubias de la estirpe Hy-Line en el período 24-59 sem de vida. Se utilizaron 8 tratamientos ordenados factorialmente con 4 dietas que variaron en el contenido energético (2650, 2750, 2850 y 2950 kcal EMAn/kg) y 2 pesos vivos distintos al inicio del período de puesta (1733 vs. 1606g). Cada tratamiento fue replicado 5 veces y la unidad experimental consistió en una jaula con 13 aves. Todas las dietas se diseñaron para que tuvieran una concentración nutritiva similar por unidad energética. Las variables productivas y de calidad de huevo se estudiaron mediante controles cada 28 días desde el inicio del experimento. No se observaron interacciones entre el nivel energético y el peso inicial del ave para ninguna de las variables estudiadas. Un incremento en la concentración energética de la dieta incrementó la producción de huevos (88.8 % vs. 91.2 % vs. 92.7 % vs. 90.5 %), masa de huevo (56.1 g/d vs. 58.1 g/d vs. 58.8 g/d vs. 58.1 g/d), y eficiencia energética (5.42 vs. 5.39 vs. 5.38 vs. 5.58 kcal EMA/g huevo) de forma lineal y cuadrática (P< 0.05) y afectó significativamente a la ganancia de peso (255 g vs. 300 g vs. 325 g vs. 359 g; P<0.05) . Sin embargo, un incremento en la concentración energética provocó un descenso lineal en el consumo de los animales (115 g vs. 114 g vs. 111 g vs. 110 g; P< 0.001) y un descenso lineal y cuadrático en el IC por kg de huevo (2.05 vs. 1.96 vs. 1.89 vs. 1.89; P< 0.01). En cuanto a la calidad del huevo, un incremento en el contenido energético de la dieta provocó una reducción en la calidad del albumen de forma lineal en forma de reducción de Unidades Haugh (88.4 vs. 87.8 vs. 86.3 vs. 84.7; P< 0.001), asimismo el incremento de energía redujo de forma lineal la proporción relativa de cáscara en el huevo (9.7 vs. 9.6 vs. 9.6 vs. 9.5; P< 0.001). Sin embargo, el incremento energético propició un incremento lineal en la pigmentación de la yema del huevo (7.4 vs. 7.4 vs. 7.6 vs. 7.9; P< 0.001). El peso vivo al inicio de la prueba afecto a las variables productivas y a la calidad del huevo. Así, los huevos procedentes de gallinas pesadas al inicio de puesta tuvieron una mayor proporción de yema (25.7 % vs. 25.3 %; P< 0.001) y menor de albumen (64.7 vs. 65.0; P< 0.01) y cáscara (9.5 vs. 9.6; P< 0.05) respecto de los huevos procedentes de gallinas ligeras. Consecuentemente, el ratio yema:albumen fue mayor (0.40 vs. 0.39; P< 0.001) para las gallinas pesadas. Según los resultados del experimento se pudo concluir que las actuales gallinas ponedoras rubias responden con incrementos en la producción y en la masa del huevo a incrementos en la concentración energética hasta un límite que se sitúa en 2850 kcal EMAn/kg. Asimismo, los resultados obtenidos entre los 2 grupos de peso al inicio de puesta demostraron que las gallinas pesadas al inicio de puesta tienen un mayor consumo y producen huevos más pesados, con el consecuente aumento de la masa del huevo respecto de gallinas más ligeras. Sin embargo, el IC por kg de huevo fue el mismo en ambos grupos de gallinas y el IC por docena de huevo fue mejor en las gallinas ligeras. Asimismo, la eficiencia energética fue mejor en las gallinas ligeras. Abstract The general aim of this PhD Thesis was to study the influence of different nutritional factors and management on the productivity and egg quality of comercial Brown laying hens. The factor studied were: 1) The effect of the main cereal and type of fat of the diet; 2) The effect of crude protein and fat content of the diet; 3) The effect of energy concentration of the diet; 4) The effect of initial body weight of the hens at the onset of lay period. In experiment 1, the influence of the main cereal and type of supplemental fat in the diet on productive performance and egg quality of the eggs was studied in 756 Lohmann brown-egg laying hens from 22 to 54 wk of age. The experiment was conducted as a completely randomized design with 9 treatments arranged factorially with 3 cereals (dented corn, soft wheat, and barley) and 3 types of fat (soy oil, acidulated vegetable soapstocks, and lard). Each treatment was replicated 4 times (21 hens per replicate). All diets were formulated according to NRC (1994) and FEDNA (2008) to have similar nutrient content except for linoleic acid that ranged from 0.8 (wheat-lard diet) to 3.4% (corn-soy bean oil) depending on the combination of cereal and fat source used. This approach will allow to estimate the minimum level of linoleic acid in the diets that maximizes egg weight. Productive performance and egg quality traits were recorded every 28 d and BW of the hens was measured individually at the beginning and at the end of the experiment. No significant interactions between main factors were detected for any of the variables studied. Egg production, egg weight, and egg mass were not affected by dietary treatment. Body weight gain was higher (243 vs. 238 vs. 202 g; P<0.05) for hens fed corn or wheat than for hens fed barley and also for hens fed lard than for hens fed soy oil or acidulated vegetable soapstocks (251 vs. 221 vs. 210 g; P< 0.05). Egg quality was not influenced by dietary treatment except for yolk color that was greater (9.0 vs. 8.3 vs. 8.3; P< 0.001) for hens fed corn than for hens fed wheat or barley and for hens fed lard than for hens fed soy oil or acidulated vegetable soapstocks (8.9 vs. 8.5 vs. 8.2, respectivamente; P< 0.001). The influence of linoleic acid on egg weight and egg mass was higher when the fatty acid was reduced in the diet. Thus, the influence of the diet in egg weight/g linoleic acid intake and egg mass/g linolec acid intake was higher when the amount of this fatty acid decreased in the diet (P< 0.001). It is concluded that brown egg laying hens do not need more than 1.0% of linoleic acid in the diet (1.16 g/hen/d) to maximize egg production and egg size. The 3 cereals and the 3 fat sources tested can replace each other in the diet provided that the linoleic acid requirements to maximize egg size are met. In experiment 2, the influence of CP and fat content of the diet on performance and egg quality traits was studied in 672 Lohmann brown egg-laying hens from 22 to 50 wk of age. The experiment was conducted as a completely randomized design with 8 treatments arranged factorially with 4 diets and 2 initial BW of the hens (1,592 vs. 1,860 g). Three of these diets differed in the CP content (16.5, 17.5, and 18.5%) and included 1.8% added fat. The fourth diet had also 18.5% CP but was supplemented with 3.6% fat instead of 1.8% fat. Each treatment was replicated 4 times and the experimental unit consisted of 21 hens allocated in groups of 7 in 3 adjacent cages. All diets were isocaloric (2,750 kcal AME/kg) and met the recommendations of brown egg-laying hens for digestible Arg, Ile, Lys, Met, Thr, Trp, TSAA, and Val. Productive performance and egg quality were recorded by replicate every 28-d. For the entire experimental period, diet did not affect any of the productive performance traits studied but the heavier hens had higher ADFI (120.6 vs. 113.9g; P< 0.001), egg production (92.5 vs. 89.8%; P< 0.01), and egg weight (64.9 vs. 62.4g; P< 0.001) than the lighter hens. Initial BW did not affect feed conversion per kilogram of eggs or hen mortality but BW gain was higher (289 vs. 233g; P< 0.01) and FCR per dozen of eggs was better (1.52 vs. 1.57; P< 0.01) for the lighter than for the heavier hens. None of the egg quality variables studied was affected by dietary treatment or initial BW of the hens. It is concluded that brown egg-laying hens, irrespective of their initial BW, do not need more than 16.5% CP to maximize egg production provided that the diet meet the requirements for key indispensable amino acids. Heavier hens produce more eggs that are larger than lighter hens but feed efficiency per kilogram of eggs is not affected. In experiment 3, the influence of AMEn concentration of the diet on productive performance and egg quality traits was studied in 520 Hy-Line brown egg-laying hens differing in initial BW from 24 to 59 wks of age. There were 8 treatments arranged factorially with 4 diets varying in energy content (2,650, 2,750, 2,850, and 2,950 kcal AMEn/kg) and 2 initial BW of the hens (1,733 vs. 1,606 g). Each treatment was replicated 5 times (13 hens per replicate) and all diets had similar nutrient content per unit of energy. No interactions between energy content of the diet and initial BW of the hens were detected for any trait. An increase in energy concentration of the diet increased (linear, P< 0.05; quadratic P< 0.05) egg production (88.8 % vs. 91.2 % vs. 92.7 % vs. 90.5 %), egg mass (56.1 g/d vs. 58.1 g/d vs. 58.8 g/d vs. 58.1 g/d), energy efficiency (5.42 vs. 5.39 vs. 5.38 vs. 5.58 kcal AMEn/g of egg), and BW gain (255 g vs. 300 g vs. 325 g vs. 359 g; P<0.05) but decreased ADFI (115 g vs. 114 g vs. 111 g vs. 110 g; P< linear, P< 0.001) and FCR per kg of eggs (2.05 vs. 1.96 vs. 1.89 vs. 1.89; linear, P< 0.01; quadratic P< 0.01). An increase in energy content of the diet reduced Haugh units (88.4 vs. 87.8 vs. 86.3 vs. 84.7; P< 0.01) and the proportion of shell in the egg (9.7 vs. 9.6 vs. 9.6 vs. 9.5; P< 0.001). Feed intake (114.6 vs. 111.1 g/hen per day), AMEn intake (321 vs. 311 kcal/hen per day), egg weight (64.2 vs. 63.0 g), and egg mass (58.5 vs. 57.0 g) were higher for the heavier than for the lighter hens (P<0.01) but FCR per kg of eggs and energy efficiency were not affected. Eggs from the heavier hens had higher proportion of yolk (25.7 % vs. 25.3 %; P< 0.001) and lower of albumen (64.7 vs. 65.0; P< 0.01) and shell (9.5 vs. 9.6; P< 0.05) than eggs from the lighter hens. Consequently, the yolk to albumen ratio was higher (0.40 vs. 0.39; P< 0.001) for the heavier hens. It is concluded that brown egg-laying hens respond with increases in egg production and egg mass, to increases in AMEn concentration of the diet up to 2,850 kcal/kg. Heavy hens had higher feed intake and produced heavier eggs and more egg mass than light hens. However, energy efficiency was better for the lighter hens.
Resumo:
Adaptive embedded systems are required in various applications. This work addresses these needs in the area of adaptive image compression in FPGA devices. A simplified version of an evolution strategy is utilized to optimize wavelet filters of a Discrete Wavelet Transform algorithm. We propose an adaptive image compression system in FPGA where optimized memory architecture, parallel processing and optimized task scheduling allow reducing the time of evolution. The proposed solution has been extensively evaluated in terms of the quality of compression as well as the processing time. The proposed architecture reduces the time of evolution by 44% compared to our previous reports while maintaining the quality of compression unchanged with respect to existing implementations. The system is able to find an optimized set of wavelet filters in less than 2 min whenever the input type of data changes.