Showing results for: [ Animal Production not elsewhere classified ]
This data collection contains behavioural and cortisol data for 28 Merino ewes. The study aimed to determine the impact of chronic stress on the emotional states of sheep, assessed through judgement b... moreias and attention bias tests. Stress was induced pharmacologically by administering Synacthen. Judgement bias was assessed during acute (one injection), chronic (21 daily injections) and acute-on-chronic (2 min isolation after 28 daily injections) stress. Attention bias was assessed during chronic stress only (22 daily injections). Cortisol responses were assessed on days 1 and 29 to confirm the effects of the Synacthen.less
SIP 36-1: Resilience in livestock - - Published 12 Mar 2019
A spatially disaggregated global livestock dataset containing information on biomass use, production, feed efficiency, excretion, and greenhouse gas emissions for 28 world regions, 8 livestock product... moreion systems, 4 animal species (cattle, small ruminants, pigs, and poultry), and 3 livestock products (milk, meat, and eggs) for the year 2000.
The dataset highlights: (i) feed efficiency as a key driver of productivity, resource use, and greenhouse gas emission intensities, with vast differences between production systems and animal products; (ii) the importance of grasslands as a global resource, supplying almost 50% of biomass for animals while continuing to be at the epicentre of land conversion processes; and (iii) the importance of mixed crop–livestock systems, producing the greater part of animal production (over 60%) in both the developed and the developing world. These data provide critical information for developing targeted, sustainable solutions for the livestock sector and its widely ranging contribution to the global food system.
Legacy data - - Published 08 Mar 2018
Data was generated for NLMP project entitled "Culture independent metagenomic approaches for understanding the functional metabolic potential of methanogen communities in ruminant livestock"
Metagenomic approaches for understanding - Rumen Methanobacteriales metagenomes - Published 19 Jun 2015