rangelands
AGROVOC URI: http://aims.fao.org/aos/agrovoc/c_6448
Nile Basin Focal Project. Synthesis report
The Nile basin experiences wide spread poverty, lack of food and land and water
degradation. Because poverty is linked to access to water for crop, fish and
livestock based livelihoods, improving access to water and increasing agricultural
water productivity can potentially contribute substantially to poverty reduction.
The major goal of the Nile Basin Focal project is to identify high potential
investments that reduce poverty yet reverse trends in land and water
degradation. This is done through the implementation of six interlinked work
Nile Basin livestock water productivity
PN37 (Increasing Water-Use Efficiency for Food Production through Better Livestock Management -
The Nile River Basin) set out to improve food security, reduce poverty and enhance agroecosystem
health by managing livestock for more effective overall use of water. PN37 responded to water
challenges posed by the CPWF, to the Nile Basin Initiative’s goal of better sharing benefits of water
use, and to global need for the livestock sector to use agricultural water more efficiently and
Northern Rangelands Trust: Baseline assessment of rangeland health - Kalama and Namunyak conservancies
Notes from an expert consultation to develop a comprehensive livestock environmental assessment framework, Stockholm, 23-24 October 2013
Nutrition, feeds and feeding for pig production in Vietnam: Current status and future research—A review
One Health working brings widespread Rift Valley fever out of the shadows
On-farm characterization of blackhead Somali sheep breed and its production system in Shinile and Erer Districts of Shinile Zone
The study was carried out in Shinile and Erer districts of Shinile Zone of the Somali National Regional State. The objectives of the study were: to characterize the production system and phenotypic characteristics of the Blackhead Somali; to evaluate on-farm survivability/ mortality of Blackhead Somali lambs during pre- weaning period and to determine the best fitted regression model for prediction of live weight of Blackhead Somali sheep breed based on body measurements under field conditions.