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A broiler growth assay was conducted to compare the efficacy of l-lysine HCl and l-lysine sulfate at a graded addition of canola meal (CM). A total of 1,440 1-d-old female Hubbard broiler chicks were allotted randomly to 6 dietary treatments each in 4 replicates of 60 birds per pen. The 2 lysine sources (l-lysine HCl and l-lysine sulfate) and the 3 CM levels (10, 15, and 20%) were used in 2 x 3 factorial arrangement in isonitrogenous (19% CP) and equicaloric (2,700 kcal of ME/kg) diets containing 0.96% digestible lysine. The experiment lasted for 42 d, and a single mash diet was used throughout the experiment. The feed intake during the starter phase (1 to 28 d) decreased linearly as the dietary CM level increased with diets containing l-lysine HCl, whereas feed intake increased linearly with increasing dietary CM level with that of lysine sulfate. Gizzard weight as percentage of carcass weight increased linearly (P < or = 0.016) as dietary CM level increased. No significant effect of lysine sources or CM was observed on body weight gain, feed:gain, mortality, carcass weight, breast and thigh yield, and abdominal fat. In conclusion, l-lysine HCl can be replaced with l-lysine sulfate for broiler diets, and CM can be used as up to 20% of the starter (1 to 28 d) and finisher (29 to 42 d) diets without having any adverse effects of broiler performance.

By the dramatic growth of the population in cities requires the traffic systems to be designed efficiently and sustainably by taking full advantage of modern-day technology. Dynamic traffic flow is a significant issue which brings about a block of traffic movement. Thus, for tackling this issue, this paper aims to provide a mechanism to predict the traffic congestion with the help of Artificial Neural Networks (ANN) which shall control or minimize the blockage and result in the smoothening of road traffic. Proposed Modeling Smart Road Traffic Congestion Control using Artificial Back Propagation Neural Networks (MSR2C-ABPNN) for road traffic increase transparency, availability and efficiency in services offered to the citizens. In this paper, the prediction of congestion is operationalized by using the algorithm of backpropagation to train the neural network. The proposed system aims to provide a solution that will increase the comfort level of travellers to make intelligent and better transportation decision, and the neural network is a plausible approach to find traffic situations. Proposed MSR2C-ABPNN with Time series gives attractive results concerning MSE as compared to the fitting approach.

The response of broiler chickens to 2 levels of endo-1,4-beta xylanase and endo-1,3-beta glucanase combination (with and without), 3 levels of digestible Lys (0.8, 0.9, and 1.0%), and 2 levels of canola meal (CM; 20 and 30%) were evaluated in 2 x 3 x 2 factorial arrangement. A total of 2,448 male Hubbard broiler chicks were fed on practical mash diets having 2,750 kcal of ME.kg(-1) and 19.6% CP from 1 to 42 d of age. The BW gain was significantly reduced when 30% CM was added in the diets during 1 to 21 d. Feed:gain and mortality were also observed to be high. No significant effect of enzyme addition or Lys level was observed on feed intake, BW gain, feed:gain, and mortality during the starter phase. When the data were pooled for 42 d, BW gain and feed:gain were unaffected by enzyme addition or Lys levels. A depression in breast weight was observed due to 30% CM or 0.8 and 0.9% digestible Lys at 43 d. Leg weights were significantly depressed by enzyme addition or increasing digestible Lys to 1.0% of the diets. The AME, nitrogen digestibility, and antibody titers against Newcastle and infectious bursal diseases were also unaffected by the dietary treatments. In conclusion, the 30% CM is not recommended in broiler diets especially during starter phase (1 to 21 d). However, the CM may be used up to 30% of the diets during finishing phase. The digestible Lys can be lowered to 0.8% when amino acids in proportion to digestible Lys follow the ideal AA ratio. The glucanase and xylanase cocktail have no pronounced effect on the growth performance, nutrient digestibility, and carcass characteristics.

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