An experiment was conducted that examined the effect of day-to-day variability of dietary energy on feed intake behavior. Three levels of average daily dietary ME composition (2,580, 2,814, and 3,009 kcal/kg) and three levels of day-to-day variability of ME (low, medium, and high) were assigned to nine groups of DeKalb-XL laying hens in a 3x3 factorial design. Each of the nine treatments contai...

the objective of this work was to develop bioadhesive topical gel of aceclofenac with the help of response-surface approach. experiments were performed according to a 3-level factorial design to evaluate the effects of two independent variables [amount of poloxamer 407 (pl-407 = x1) and hydroxypropylmethyl cellulose k100 m (hpmc = x2)] on the bioadhesive character of gel, rheological property o...

The objectives of this work were to study the responses of one Leghorn and two broiler stocks and sexes to different levels of Thr and to estimate their requirements for this amino acid. All experiments were conducted with birds from 1 to 18 d of age. Body weight gain (BWG) and feed consumption were measured on the eighteenth day, and feed conversion ratio (FCR) was calculated. At Day 18, three...

Multi-level factorial designs are useful in experiments but their aliasing structure are complex compare to two-level fractional factorial designs. A new framework is proposed to study the complex aliasing of those designs. Geometric aliasing is deened for factorial designs. It generalize of the aliasing relation of regular two level fractional fac-torial designs to all factorial designs. Based...

For the improvement the postharvest longevity of cut alstroemeria (Alstroemeria hybrida L.), a factorial experiment was carried out based on RCD with 2 factors of stem end splitting at two levels (5 cm splitting and without splitting) and ethanol at five levels (0, 1, 2, 4 and 6%), 10 treatments, 3 replications and 30 plots. In this experiment, the estimated traits included vase life, water abs...

Non-regular two-level fractional factorial designs, such as Plackett–Burman designs, are becoming popular choices in many areas of scientific investigation due to their run size economy and flexibility. The run size of nonregular two-level factorial designs is a multiple of 4. They fill the gaps left by the regular twolevel fractional factorial designs whose run size is always a power of 2 (4, ...