Evaluation des Doses Variables du Miel Local de Apis Mellifera adansonii Latr. 1789 du Congo sur les Performances Zootechniques des Poulets de Chair standard

Le miel est un produit  qui renferme des propriétés nutritives susceptibles de stimuler les performances zootechniques des volailles. L’objectif de cette étude était de déterminer le taux d’incorporation optimal du miel dans les rations des poulets de chair. Un échantillon de 105 poussins de chair a été réparti en trois lots de 35 sujets  (témoin, traité 1 et traité 2).Chaque lot a été ensuite subdivisé en 5 répétitions   de 7 sujets  chacun. Les lots traités 1 et 2 ont reçu des doses du miel dans la ration alimentaire respectivement au démarrage 0,5% et 1%, en croissance 1% et 2% et en finition 1% et 4%. Le premier lot a servi de témoin. Les lots ont été comparés sur les variables de  la croissance pondérale.   Les résultats ont montré au cours de la phase de démarrage une amélioration significative (P < 0,05)  de  la consommation volontaire des aliments (30,5 g contre 34,8 g), du GMQ (22,7 g/jour contre 23,4 g/ jour), l’IC (1,3 contre 1,4) et le poids vif à 14 jours (359g contre 377 g). Par contre au cours de la phase de croissance, aucune différence significative n’a été notée dans la ration contenant 1% de miel. En revanche pendant la phase de finition, une amélioration significative a été observée sur tous les paramètres étudiés. Cette étude suggère l’utilisation du miel à la dose de 0,5% pendant les phases de démarrage et de croissance et à 1% au cours de la phase de finition.   Honey is a natural bee product containing nutritional properties able to stimulate the performance of poultry. The study aimed to determine the optimal rate of honey in the  diets of broiler. A sample of 105 chicks has been randomized and then divided into three groups of 35 chicks each (One control and two treated groups). Then each group was then divided in 5 replicates of 7 chicks. The treated groups received doses of honey at the starting 0.5% and 1%, in growing 1% and 2% finally in finishing stage 1% and 4% respectively. Groups were compared on the growth parameters. The results showed that during the starting stage, a significant improvement (P < 0.05) was observed on feed intake (30.5g vs 34.8g), DWG (22.7g per day vs 23.4g per day), feed efficiency (1.3 vs 1.4) and body live weight (359 vs 377g at 14 days). However, during the growing stage, no significant difference was observed on feed containing 1% of honey. Moreover, during the finishing stage, all the studied parameters were improved by honey at 1%. Therefore, the present study indicated the useful of honey at 0.5% during the starting and growing stages while 1% may be used during the finishing stag

Evaluation des Doses Variables du Miel Local de Apis Mellifera Adansonii Latr. 1789 dans les Rations des Poulets de Chair

Le miel est un produit renfermant des propriétés nutritives susceptibles de stimuler les performances zootechniques des volailles. L’objectif de cette étude était de déterminer le taux d’incorporation optimal du miel dans les rations des poulets de chair. Un échantillon de 105 poussins de chair a été  réparti en trois lots de 35 sujets et chaque lot  subdivisé en 5  répétitions   de 7 sujets. Les lots traités 1 et le traité 2 ont reçu des doses du miel dans la ration alimentaire respectivement au démarrage 0,5% et 1%, en croissance 1% et 2% et en finition 1% et 4%. Le premier lot a servi de témoin. Les lots ont été comparés sur les variables de croissance pondérale.   Les résultats ont  montré au cours de la phase de démarrage une amélioration significative (P < 0,05) sur la consommation volontaire des aliments (30,5g contre 34,8g), du GMQ (22,7 g/jour contre 23,4g/ jour), l’IC (1,3 contre 1,4)et le poids vif  à 14 jours (359g contre 377g).Par contre au cours de là phase de croissance, aucune différence significative n’a été notée dans la ration contenant 1% de miel. En revanche pendant la phase de finition, une amélioration significative a été observée sur tous les paramètres étudiés. Cette étude suggère l’utilisation du miel à la dose de 0,5% pendant les phases de démarrage et de croissance et à 1% au cours de la phase de finition.   Honey is a natural bee product containing nutritional properties able to stimulate the performance of poultry. The study aimed to determine the optimal rate of honey in the rations of broiler. A sample of 105 chicks has been randomized and then divided into three groups of 35 chicks each (One control and two treated groups). Then each group was then divided in 5 replicates of 7 chicks. The treated groups received doses of honey at the starting 0.5% and 1%, in growing 1% and 2% finally in finishing stage 1% and 4% respectively. Groups were compared on the growth parameters. The results showed that during the starting stage, a significant improvement (P < 0.05) was observed on feed intake (30.5g vs 34.8g), DWG (22.7g per day vs 23.4g per day), feed efficiency (1.3 vs 1.4) and body live weight (359 vs 377g at 14 days). However, during the growing stage, no significant difference was observed on feed containing 1% of honey. Moreover, during the finishing stage, all the studied parameters were improved by honey at 1%.Therefore, the present study indicated the useful of honey at 0.5% during the starting and growing stages while 1% may be used during the finishing stage

Evaluation des Doses Variables du Miel Local de Apis Mellifera Adansonii Latr. 1789 dans les Rations des Poulets de Chair

Le miel est un produit renfermant des propriétés nutritives susceptibles de stimuler les performances zootechniques des volailles. L’objectif de cette étude était de déterminer le taux d’incorporation optimal du miel dans les rations des poulets de chair. Un échantillon de 105 poussins de chair a été  réparti en trois lots de 35 sujets et chaque lot  subdivisé en 5  répétitions   de 7 sujets. Les lots traités 1 et le traité 2 ont reçu des doses du miel dans la ration alimentaire respectivement au démarrage 0,5% et 1%, en croissance 1% et 2% et en finition 1% et 4%. Le premier lot a servi de témoin. Les lots ont été comparés sur les variables de croissance pondérale.   Les résultats ont  montré au cours de la phase de démarrage une amélioration significative (P < 0,05) sur la consommation volontaire des aliments (30,5g contre 34,8g), du GMQ (22,7 g/jour contre 23,4g/ jour), l’IC (1,3 contre 1,4)et le poids vif  à 14 jours (359g contre 377g).Par contre au cours de là phase de croissance, aucune différence significative n’a été notée dans la ration contenant 1% de miel. En revanche pendant la phase de finition, une amélioration significative a été observée sur tous les paramètres étudiés. Cette étude suggère l’utilisation du miel à la dose de 0,5% pendant les phases de démarrage et de croissance et à 1% au cours de la phase de finition.   Honey is a natural bee product containing nutritional properties able to stimulate the performance of poultry. The study aimed to determine the optimal rate of honey in the rations of broiler. A sample of 105 chicks has been randomized and then divided into three groups of 35 chicks each (One control and two treated groups). Then each group was then divided in 5 replicates of 7 chicks. The treated groups received doses of honey at the starting 0.5% and 1%, in growing 1% and 2% finally in finishing stage 1% and 4% respectively. Groups were compared on the growth parameters. The results showed that during the starting stage, a significant improvement (P < 0.05) was observed on feed intake (30.5g vs 34.8g), DWG (22.7g per day vs 23.4g per day), feed efficiency (1.3 vs 1.4) and body live weight (359 vs 377g at 14 days). However, during the growing stage, no significant difference was observed on feed containing 1% of honey. Moreover, during the finishing stage, all the studied parameters were improved by honey at 1%.Therefore, the present study indicated the useful of honey at 0.5% during the starting and growing stages while 1% may be used during the finishing stage

Differential evolution for the offline and online optimization of fed-batch fermentation processes

The optimization of input variables (typically feeding trajectories over time) in fed-batch fermentations has gained special attention, given the economic impact and the complexity of the problem. Evolutionary Computation (EC) has been a source of algorithms that have shown good performance in this task. In this chapter, Differential Evolution (DE) is proposed to tackle this problem and quite promising results are shown. DE is tested in several real world case studies and compared with other EC algorihtms, such as Evolutionary Algorithms and Particle Swarms. Furthermore, DE is also proposed as an alternative to perform online optimization, where the input variables are adjusted while the real fermentation process is ongoing. In this case, a changing landscape is optimized, therefore making the task of the algorithms more difficult. However, that fact does not impair the performance of the DE and confirms its good behaviour.(undefined

Branch-and-lift algorithm for deterministic global optimization in nonlinear optimal control

This paper presents a branch-and-lift algorithm for solving optimal control problems with smooth nonlinear dynamics and potentially nonconvex objective and constraint functionals to guaranteed global optimality. This algorithm features a direct sequential method and builds upon a generic, spatial branch-and-bound algorithm. A new operation, called lifting, is introduced, which refines the control parameterization via a Gram-Schmidt orthogonalization process, while simultaneously eliminating control subregions that are either infeasible or that provably cannot contain any global optima. Conditions are given under which the image of the control parameterization error in the state space contracts exponentially as the parameterization order is increased, thereby making the lifting operation efficient. A computational technique based on ellipsoidal calculus is also developed that satisfies these conditions. The practical applicability of branch-and-lift is illustrated in a numerical example. © 2013 Springer Science+Business Media New York

II International Workshop. Information Technologies and Computing Techniques for the Agro-Food Sector

This  monographs of proceedings includes all extended abstracts, which will be presented during the AfoT. These presentations will cover a wide range of topics: - Modelling and simulation operations and process plants. - Food process optimisation, scheduling and control. - Food properties measurements and quality control. - Simulation of complex processes, for example those requiring computational fluid dynamics, CFD. - The use of new information technologies to develop decision support sytems

Global optimization for integrated design and control of computationally expensive process models

The problem of integrated design and control optimization of process plants is discussed in this paper. We consider it as a nonlinear programming problem subject to differential-algebraic constraints. This class of problems is frequently multimodal and "costly" (i.e., computationally expensive to evaluate). Thus, on the one hand, local optimization techniques usually fail to locate the global solution, and, on the second hand, most global optimization methods require many simulations of the model, resulting in unaffordable computation times. As an alternative, one may consider global optimization methods which employ surrogate-based approaches to reduce computation times and which require no knowledge of the underlying problem structure. A challenging wastewater treatment plant (WWTP) benchmark model1 is used here to evaluate the performance of these techniques. Numerical experiments with different optimization solvers indicate that the proposed benchmark optimization problem is indeed multimodal, and that via global optimization we can achieve an improvement of the controllers' performance compared to the best tuned controllers' settings available in the literature. Moreover, these results show that surrogate-based methods may reduce computation times while ensuring convergence to the best known solutions. -------------------------------------------------------------------------------

A comparison of methods for quantifying prediction uncertainty in systems biology.

The parameters of dynamical models of biological processes always possess some degree of uncertainty. This parameter uncertainty translates into an uncertainty of model predictions. The trajectories of unmeasured state variables are examples of such predictions. Quantifying the uncertainty associated with a given prediction is an important problem for model developers and users. However, the nonlinearity and complexity of most dynamical models renders it nontrivial. Here, we evaluate three state-of-the-art approaches for prediction uncertainty quantification using two models of different sizes and computational complexities. We discuss the trade-offs between applicability and statistical interpretability of the different methods, and provide guidelines for their application

Benchmarking optimization methods for parameter estimation in large kinetic models.

MOTIVATION: Kinetic models contain unknown parameters that are estimated by optimizing the fit to experimental data. This task can be computationally challenging due to the presence of local optima and ill-conditioning. While a variety of optimization methods have been suggested to surmount these issues, it is difficult to choose the best one for a given problem a priori. A systematic comparison of parameter estimation methods for problems with tens to hundreds of optimization variables is currently missing, and smaller studies provided contradictory findings. RESULTS: We use a collection of benchmarks to evaluate the performance of two families of optimization methods: (i) multi-starts of deterministic local searches and (ii) stochastic global optimization metaheuristics; the latter may be combined with deterministic local searches, leading to hybrid methods. A fair comparison is ensured through a collaborative evaluation and a consideration of multiple performance metrics. We discuss possible evaluation criteria to assess the trade-off between computational efficiency and robustness. Our results show that, thanks to recent advances in the calculation of parametric sensitivities, a multi-start of gradient-based local methods is often a successful strategy, but a better performance can be obtained with a hybrid metaheuristic. The best performer combines a global scatter search metaheuristic with an interior point local method, provided with gradients estimated with adjoint-based sensitivities. We provide an implementation of this method to render it available to the scientific community. AVAILABILITY AND IMPLEMENTATION: The code to reproduce the results is provided as Supplementary Material and is available at Zenodo https://doi.org/10.5281/zenodo.1304034. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online

GenSSI 2.0: Multi-experiment structural identifiability analysis of SBML models.

Motivation Mathematical modeling using ordinary differential equations is used in systems biology to improve the understanding of dynamic biological processes. The parameters of ordinary differential equation models are usually estimated from experimental data. To analyze a priori the uniqueness of the solution of the estimation problem, structural identifiability analysis methods have been developed. Results We introduce GenSSI 2.0, an advancement of the software toolbox GenSSI (Generating Series for testing Structural Identifiability). GenSSI 2.0 is the first toolbox for structural identifiability analysis to implement Systems Biology Markup Language import, state/parameter transformations and multi-experiment structural identifiability analysis. In addition, GenSSI 2.0 supports a range of MATLAB versions and is computationally more efficient than its previous version, enabling the analysis of more complex models