Water Footprint of Thai Beef Meat Production

K. Boonyanuwat; P. Sirisom; V. Ngamsomrit

Water Footprint of Thai Beef Meat Production

In: 63rd International Congress of Meat Science and Technology

Authors:

K. Boonyanuwat

K. Boonyanuwat ¹Bureau of Animal Husbandry and Genetic Improvement, Department of Livestock Development, Ratchathevi, Bangkok 10400, Thailand

Search for other papers by K. Boonyanuwat in
Current site
Google Scholar
PubMed

P. Sirisom

P. Sirisom ²Tak Livestock Research and Breeding Center, Bureau of Animal Husbandry and Genetic Improvement, Department of Livestock Development, Tak Province 63000, Thailand; kalayabo@gmail.com

Search for other papers by P. Sirisom in
Current site
Google Scholar
PubMed

, and

V. Ngamsomrit

V. Ngamsomrit ²Tak Livestock Research and Breeding Center, Bureau of Animal Husbandry and Genetic Improvement, Department of Livestock Development, Tak Province 63000, Thailand; kalayabo@gmail.com

Search for other papers by V. Ngamsomrit in
Current site
Google Scholar
PubMed

Type:: Chapter

Pages:: 418–419

DOI:: https://doi.org/10.3920/9789086868605_185

Purchase instant access (PDF download and unlimited online access):

€42.00€35.00 excl. VAT

Add to Cart

Redeem Access Token

The water consumption of a range of Thai beef production systems from the Department of Livestock Development farms in Tak province was estimated in 2011. A Life Cycle Assessment (LCA) systems model was used to estimate the water consumption for 3 genotypes: Charolais × Brahman (CB), Charolais × Brahman × Native (CBN), and Charolais × Native (CN) fattening cattle. It included direct water consumption for drinking, washing, cleaning and more, as well as virtual water in the diet (that is, water that had been used to grow grass and concentrate feedstuffs). This was partitioned into green water assumed to be equal to the precipitation and the soil water absorbed by the crop. The crop evapotranspiration requirement would be calculated using different complex approaches. The blue water use depended mainly on process water and drinking water consumption. The grey water use depended on process water that caused pollution. Results showed that CB, CN, and CBN cattle had a water footprint averaging 5,078.39, 5,132.17, 5,215.91 kg respectively, for 1 kg of lean meat production. The major water footprint was the green water footprint. This report highlighted the importance of considering water use in context for a tropical climate where crop and grassland water requirements are adequately met by green water from rainfall.

Citation Info

Save
Cite
Email this content

Share link with colleague or librarian

You can email a link to this page to a colleague or librarian:
Email this content
or copy the link directly:

https://brill.edhh.ma/abstract/book/9789086868605/BP000185.xml
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

Collapse
Expand

63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

E-Book ISBN:: 9789086868605

Publisher:: Wageningen Academic

Print Publication Date:: 15 Nov 2017

Subjects
- Life Sciences

Metrics

	All Time	Past 365 days	Past 30 Days
Abstract Views	77	42	18
Full Text Views	1	0	0
PDF Views & Downloads	2	0	0

African Studies	Education	Media Studies
American Studies	History	Middle East and Islamic Studies
Ancient Near East and Egypt	Human Rights and Humanitarian Law	Musicology
Art History	International Law	Philosophy
Asian Studies	International Relations	Religious Studies
Biblical Studies	Jewish Studies	Slavic and Eurasian Studies
Biology	Languages and Linguistics	Social Sciences
Book History and Cartography	Life Sciences	Theology and World Christianity
Classical Studies	Literature and Cultural Studies

Subjects

Authors

Open Access

Product Information

Company

Contact

Water Footprint of Thai Beef Meat Production

Citation Info

Share link with colleague or librarian

63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

Table of Contents

Metrics

Metrics