Baker, Derek

Morley, Philip

Al-Moadhen, Hussain

Downey, Rebecca

Yusuf, Eva

Longin, Nsiima

Baleseng, Leonard Boitumelo

Makgekgenene, Alec

Coleman, Michael

Moss, Jonathan

2017

The following reports and working papers are available in relation to this project:<br> <a href="http://gsars.org/wp-content/uploads/2016/04/LR_Improving-Methods-for-Estimating-Livestock-Production-and-Productivity-220416.pdf">Literature Review</a> (<b>April 2016</b>): Timely and accurate data is critically important for the development of food security programs, agricultural development, poverty reduction policies, investment strategies and natural disaster responses. (<i>Drafted By</i>: Jonathan Moss, Philip Morley, Derek Baker, Hussain Al-Moadhen, Rebecca Downie, and University of New England)<br> <a href="http://gsars.org/wp-content/uploads/2016/11/Improving-Methods-for-Estimating-Livestock-Production-and-Productivity1.pdf">Gap Analysis Report</a> (<b>November 2016</b>): This Gap Analysis Report seeks methods for improving the quality of livestock data across a range of species and focuses on production-level livestock, specifically on the measurement of production and productivity at household level.<br> <a href="http://gsars.org/wp-content/uploads/2016/12/WP_Improving-Methods-for-Estimating-Livestock-Production-Productivity_Test-Stage-081216.pdf">Test Stage</a> (<b>November 2016</b>): The test phase of the project <i>Improving Methods for Estimating Livestock Production and Productivity</i> is based on the literature review and gap analysis and was carried out in three countries (Botswana, Tanzania and Indonesia). (<i>Drafted By</i>: Michael Coleman, Phil Morley, Derek Baker and Jonathan Moss)<br> <a href="http://gsars.org/wp-content/uploads/2017/05/TR-04.05.2017-Improving-Methods-for-Estimating-Livestock-Production-and-Productivity.pdf">Methodological Report</a> (<b>May 2017</b>): This Technical Report proposes methods for the collection of data to compile improved measures of selected indicators, based on analyses of existing methods and field-testing of alternatives.

This project seeks methods of improving the quality of livestock data. It supports the Global Strategy on Agricultural and Rural Statistics, and focuses on production-level livestock: specifically the measurement of production and productivity at household level.<br/> The project seeks opportunities to improve livestock data collection methods across a range of species. It also addresses the definition of target variables, methods of collection, procedures for benchmarking, and institutional organisation surrounding livestock data collection.<br/> The fieldwork for the project features several stages:<br/> <ul> <li><b>Consultation</b> – identifying species and variables for which measurement of production and productivity are most important, and identifying mechanisms by which field tests can be carried out (Feb 2015)</li> <li><b>Gap analysis</b> – identifying gaps between an "ideal system" and the current reality, and proposing changes that can be tested. This includes a review of existing questionnaires and other collection mechanisms (Feb-March 2015).</li> <li><b>Communications</b> – formulating new variables and measures, and designing new collection methods which can be tested in selected locations (Feb-April 2015).</li> <li><b>Testing</b> – field-testing of new collection methods, which can occur alongside existing collection procedures or independently (April-August 2015).</li> <li><b>Review and validation</b> – examination and discussion of results, and their application in future data collection (through to early 2016).</li></ul> The field work for the project offers an opportunity to test and improve existing or new activities in livestock data collection, and to improve mechanisms for benchmarking performance.

https://hdl.handle.net/1959.11/30472

en

Global Strategy to Improving agricultural and rural statistics (GSARS)

Improving Methods for Estimating Livestock Production and Productivity

Report

Publication