Smallholder milk-quality awareness in Indonesian dairy farms.

Firth-type logistic regression multinomial logistic regression risk factor udder health

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 13 01 2023
accepted: 02 05 2023
pubmed: 29 8 2023
medline: 29 8 2023
entrez: 29 8 2023
Statut: ppublish

Résumé

In most low- and middle-income countries, milk is produced by smallholders, thereby contributing to the livelihood of their households. With the increasing importance of milk production in these countries, it is essential that milk quality is of a high level to ensure a safe product for consumers. It is, however, unclear whether smallholder dairy farmers are aware of the quality of their milk. The aim of this cross-sectional study was to gain insight on Indonesian smallholder dairy farmer awareness of milk quality parameters and to identify factors associated with the total plate count (TPC) and somatic cell count (SCC). A stratified sampling method was used to select smallholder farms in 4 districts in West Java, Indonesia, that were interviewed between August and September 2017. Factors putatively associated with awareness of TPC were investigated with multinomial regression models, whereas a Firth-type logistic regression was applied to identify factors associated with SCC awareness. Of the total 600 farmers surveyed, 264 (44%), 109 (18%), 170 (28%), 111 (19%), and 23 (4%) farmers were aware of TPC, total solid, fat content, milk density, and SCC, respectively, but did not know its value. Those that were conceptually aware of these quality parameters were generally unaware of their value. Furthermore, this study revealed that the following variables were significantly associated with dairy farmers' awareness of TPC: cooperative to which the farmer belonged, distance to neighboring dairy farmer, technology adoption index, TPC as the most important quality factor for the buyer, milk production information from cooperatives, and cow health information from veterinarians. Similarly, cooperative, dairy business experience, and milk quality test adoption were significantly associated with dairy farmers' awareness of SCC. Cooperative was the only variable that was significant in both final statistical models. This indicates that cooperatives play an important role in increasing farmer awareness of milk quality parameters in these smallholder dairies. This may be valid for other regions in the world also where milk production is dominated by smallholder dairy farmers.

Identifiants

pubmed: 37641270
pii: S0022-0302(23)00490-3
doi: 10.3168/jds.2023-23267
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7965-7973

Informations de copyright

© 2023, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Auteurs

Achmad Fadillah (A)

Business Economics Group, Wageningen University and Research, 6700 EW Wageningen, the Netherlands; School of Business, IPB University, Jl. Raya Pajajaran, SB-IPB Building, Bogor 16151, Indonesia. Electronic address: achmad.fadillah@wur.nl.

Bart H P van den Borne (BHP)

Business Economics Group, Wageningen University and Research, 6700 EW Wageningen, the Netherlands; Quantitative Veterinary Epidemiology, Wageningen University and Research, 6700 AH Wageningen, the Netherlands.

Okti Nadia Poetri (ON)

Department of Animal Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Jl. Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia.

Henk Hogeveen (H)

Business Economics Group, Wageningen University and Research, 6700 EW Wageningen, the Netherlands.

Wendy Umberger (W)

Centre for Global Food and Resources, School of Economics and Public Policy, Nexus 10 Building, The University of Adelaide, South Australia 5005, Australia.

Jack Hetherington (J)

Centre for Global Food and Resources, School of Economics and Public Policy, Nexus 10 Building, The University of Adelaide, South Australia 5005, Australia.

Ynte H Schukken (YH)

Quantitative Veterinary Epidemiology, Wageningen University and Research, 6700 AH Wageningen, the Netherlands; Royal GD, Arnsbergstraat 7, 7418EZ Deventer, 7400 AA, the Netherlands.

Classifications MeSH