Setting directions and goals for animal production systems requires the integration of information achieved through internal and external processes. The importance of stakeholder input in setting goals for sustainable animal production systems should not be overlooked by the agricultural animal industries. Stakeholders play an integral role in setting the course for many aspects of animal production, from influencing consumer preferences to setting public policy. The Socially Sustainable Egg Production Project (SSEP) involved the development of white papers on various aspects of egg production, followed by a stakeholder workshop to help frame the issues for the future of sustainable egg production. Representatives from the environmental, food safety, food retail, consumer, animal welfare, and the general farm and egg production sectors participated with members of the SSEP coordination team in a 1.5-d workshop to explore socially sustainable egg production. This paper reviews the published literature on values integration methodologies and the lessons learned from animal welfare assessment models. The integration method used for the SSEP stakeholder workshop and its outcome are then summarized. The method used for the SSEP stakeholder workshop can be used to obtain stakeholder input on sustainable production in other farm animal industries.

No abstract

Mixing in a multicomponent batch system was evaluated by magnetic resonance images. The system was a I0% carbon black powder suspended in aqueous solution. The factors in this study were surfactant type (neodol 23-5 and sodium dodecyl sulfate) at two levels: 1 and 0.1%. Water (0% surfactant) was used as the control. In addition to surfactant type and level, the third factor ,,vas mixing mode: with vortex and without vortex motion. These conditions were disp[ayed at 180 and 60 rpm impeller speed respectively. The type of surfactant did not yield significantly different results in terms of mixing effectiveness. The rate of mixing, as characterized by first-order rate constants, was statistically different asa function of mixing mode, level of surfactant and the interaction of these factors. The extent of mixing, charactefized by a normalized mean signal intensity, was also statistically different as a function of the same factors and interaction. The incorporation of air and subsequent release of air was desc¡ by the volume change of the mixmre asa function of time.

ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.