Improving Methods for Estimating Livestock Production and Productivity

Derek Baker; Philip Morley; Hussain Al-Moadhen; Rebecca Downey; Eva Yusuf; Nsiima Longin; Leonard Boitumelo Baleseng; Alec Makgekgenene; Michael Coleman; Jonathan Moss

Improving Methods for Estimating Livestock Production and Productivity

Derek Baker (Project Team Member)
, Philip Morley (Project Team Member)
, Hussain Al-Moadhen (Project Team Member)
, Rebecca Downey (Project Team Member)
, Eva Yusuf (Project Team Member)
, Nsiima Longin (Project Team Member)
, Leonard Boitumelo Baleseng (Project Team Member)
, Alec Makgekgenene (Project Team Member)
, Michael Coleman (Project Team Member)
, Jonathan Moss (Project Team Member)

Research output: Book/Report › Report › Other

Abstract

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.
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.
The fieldwork for the project features several stages:

Consultation – 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)
Gap analysis – 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).
Communications – formulating new variables and measures, and designing new collection methods which can be tested in selected locations (Feb-April 2015).
Testing – field-testing of new collection methods, which can occur alongside existing collection procedures or independently (April-August 2015).
Review and validation – examination and discussion of results, and their application in future data collection (through to early 2016).

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.

Original language	English
Place of Publication	Rome, Italy
Publisher	Global Strategy to Improving agricultural and rural statistics (GSARS)
Publication status	Published - 2017

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@book{5c20a86f85e74f1fb11398e15606d746,

title = "Improving Methods for Estimating Livestock Production and Productivity",

abstract = "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. 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. The fieldwork for the project features several stages: Consultation {\textendash} 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) Gap analysis {\textendash} 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). Communications {\textendash} formulating new variables and measures, and designing new collection methods which can be tested in selected locations (Feb-April 2015). Testing {\textendash} field-testing of new collection methods, which can occur alongside existing collection procedures or independently (April-August 2015). Review and validation {\textendash} examination and discussion of results, and their application in future data collection (through to early 2016). 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.",

author = "Derek Baker and Philip Morley and Hussain Al-Moadhen and Rebecca Downey and Eva Yusuf and Nsiima Longin and Baleseng, \{Leonard Boitumelo\} and Alec Makgekgenene and Michael Coleman and Jonathan Moss",

note = "The following reports and working papers are available in relation to this project: <a href={"}http://gsars.org/wp-content/uploads/2016/04/LR\_Improving-Methods-for-Estimating-Livestock-Production-and-Productivity-220416.pdf{"}>Literature Review</a> (April 2016): 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. (Drafted By: Jonathan Moss, Philip Morley, Derek Baker, Hussain Al-Moadhen, Rebecca Downie, and University of New England) <a href={"}http://gsars.org/wp-content/uploads/2016/11/Improving-Methods-for-Estimating-Livestock-Production-and-Productivity1.pdf{"}>Gap Analysis Report</a> (November 2016): 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. <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> (November 2016): The test phase of the project Improving Methods for Estimating Livestock Production and Productivity is based on the literature review and gap analysis and was carried out in three countries (Botswana, Tanzania and Indonesia). (Drafted By: Michael Coleman, Phil Morley, Derek Baker and Jonathan Moss) <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> (May 2017): 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.",

year = "2017",

language = "English",

publisher = "Global Strategy to Improving agricultural and rural statistics (GSARS)",

}

TY - BOOK

T1 - Improving Methods for Estimating Livestock Production and Productivity

A2 - Baker, Derek

A2 - Morley, Philip

A2 - Al-Moadhen, Hussain

A2 - Downey, Rebecca

A2 - Yusuf, Eva

A2 - Longin, Nsiima

A2 - Baleseng, Leonard Boitumelo

A2 - Makgekgenene, Alec

A2 - Coleman, Michael

A2 - Moss, Jonathan

N1 - The following reports and working papers are available in relation to this project: <a href="http://gsars.org/wp-content/uploads/2016/04/LR_Improving-Methods-for-Estimating-Livestock-Production-and-Productivity-220416.pdf">Literature Review</a> (April 2016): 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. (Drafted By: Jonathan Moss, Philip Morley, Derek Baker, Hussain Al-Moadhen, Rebecca Downie, and University of New England) <a href="http://gsars.org/wp-content/uploads/2016/11/Improving-Methods-for-Estimating-Livestock-Production-and-Productivity1.pdf">Gap Analysis Report</a> (November 2016): 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. <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> (November 2016): The test phase of the project Improving Methods for Estimating Livestock Production and Productivity is based on the literature review and gap analysis and was carried out in three countries (Botswana, Tanzania and Indonesia). (Drafted By: Michael Coleman, Phil Morley, Derek Baker and Jonathan Moss) <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> (May 2017): 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.

PY - 2017

Y1 - 2017

N2 - 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. 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. The fieldwork for the project features several stages: Consultation – 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) Gap analysis – 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). Communications – formulating new variables and measures, and designing new collection methods which can be tested in selected locations (Feb-April 2015). Testing – field-testing of new collection methods, which can occur alongside existing collection procedures or independently (April-August 2015). Review and validation – examination and discussion of results, and their application in future data collection (through to early 2016). 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.

AB - 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. 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. The fieldwork for the project features several stages: Consultation – 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) Gap analysis – 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). Communications – formulating new variables and measures, and designing new collection methods which can be tested in selected locations (Feb-April 2015). Testing – field-testing of new collection methods, which can occur alongside existing collection procedures or independently (April-August 2015). Review and validation – examination and discussion of results, and their application in future data collection (through to early 2016). 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.

UR - https://www.une.edu.au/research/research-centres-institutes/irf/international-development-research/current-projects/improving-methods-for-estimating-livestock-production-and-productivity

M3 - Report

BT - Improving Methods for Estimating Livestock Production and Productivity

PB - Global Strategy to Improving agricultural and rural statistics (GSARS)

CY - Rome, Italy

ER -

Improving Methods for Estimating Livestock Production and Productivity

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