Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration

Poor milk safety constitutes a persistent public health risk in Kenya. Poor milk composition, microbial contamination and adulteration is a constraint to dairy sector development. We hypothesise that variation in milk quality and safety depends on variation between farming systems. We argue that thi...

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Main Authors: Nyokabi, S.N., Boer, Imke J.M. de, Luning, P.A., Korir, Luke, Lindahl, Johanna F., Bett, Bernard K., Oosting, S.J.
Format: Journal Article
Language:Inglés
Published: Elsevier 2021
Subjects:
Online Access:https://hdl.handle.net/10568/108823
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author Nyokabi, S.N.
Boer, Imke J.M. de
Luning, P.A.
Korir, Luke
Lindahl, Johanna F.
Bett, Bernard K.
Oosting, S.J.
author_browse Bett, Bernard K.
Boer, Imke J.M. de
Korir, Luke
Lindahl, Johanna F.
Luning, P.A.
Nyokabi, S.N.
Oosting, S.J.
author_facet Nyokabi, S.N.
Boer, Imke J.M. de
Luning, P.A.
Korir, Luke
Lindahl, Johanna F.
Bett, Bernard K.
Oosting, S.J.
author_sort Nyokabi, S.N.
collection Repository of Agricultural Research Outputs (CGSpace)
description Poor milk safety constitutes a persistent public health risk in Kenya. Poor milk composition, microbial contamination and adulteration is a constraint to dairy sector development. We hypothesise that variation in milk quality and safety depends on variation between farming systems. We argue that this variation between farming systems is associated with spatial location which affects the agro-ecological conditions and the availability of labour and land. We used a spatial framework based on the distance to urban markets to distinguish the following farming systems: relatively intensive dairy systems in urban locations (UL), semi-intensive dairy systems in mid-rural locations (MRL) and extensive dairy systems in extreme rural locations (ERL). We aimed to investigate the variation in the quality of raw milk in these dairy farming systems and associated value chains in central Kenya. For this reason, we combined several methods such as participatory rural appraisal, participant observation, and milk physicochemical and microbiological analyses to collect data. Milk samples were collected at the informal and informal value chain nodes - farms, informal collection centres, informal retailing centres including milk vending machines, and formal bulking centres - where milk changes hands between value chain actors. Milk quality was compared to standards recommended by the Kenya Bureau of Standards (KeBS). There were no differences in the quality of raw milk between locations or between nodes. The overall milk physicochemical composition means (standard error) of the milk were within KeBS standards: fat 3.61 (0.05), protein 3.46 (0.06), solid-not fats 9.18 (0.04), density 1.031 (0.0002) and freezing point −0.597 (0.019). The protein percentage was below KeBS standards at all value chain nodes, except at the formal bulking node. There was significant contamination of milk samples: 16.7% of samples had added water, 8.8% had somatic cell count SCC above 300,000, 42.4% had E. coli, 47.9% had Pseudomonas spp., 3.3% had Staphylococcus spp. and 2.9% tested positive for brucellosis antibodies. Unsanitary milk handling practices were observed at farms and all value chains nodes. Milk physicochemical composition except for protein content meets the KeBS Standard. High levels of microbial contamination of milk pose a public health risk to consumers and show that urgent action is needed to improve milk quality.
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spelling CGSpace1088232025-08-15T13:22:14Z Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration Nyokabi, S.N. Boer, Imke J.M. de Luning, P.A. Korir, Luke Lindahl, Johanna F. Bett, Bernard K. Oosting, S.J. dairying milk food safety animal production value chains farming systems Poor milk safety constitutes a persistent public health risk in Kenya. Poor milk composition, microbial contamination and adulteration is a constraint to dairy sector development. We hypothesise that variation in milk quality and safety depends on variation between farming systems. We argue that this variation between farming systems is associated with spatial location which affects the agro-ecological conditions and the availability of labour and land. We used a spatial framework based on the distance to urban markets to distinguish the following farming systems: relatively intensive dairy systems in urban locations (UL), semi-intensive dairy systems in mid-rural locations (MRL) and extensive dairy systems in extreme rural locations (ERL). We aimed to investigate the variation in the quality of raw milk in these dairy farming systems and associated value chains in central Kenya. For this reason, we combined several methods such as participatory rural appraisal, participant observation, and milk physicochemical and microbiological analyses to collect data. Milk samples were collected at the informal and informal value chain nodes - farms, informal collection centres, informal retailing centres including milk vending machines, and formal bulking centres - where milk changes hands between value chain actors. Milk quality was compared to standards recommended by the Kenya Bureau of Standards (KeBS). There were no differences in the quality of raw milk between locations or between nodes. The overall milk physicochemical composition means (standard error) of the milk were within KeBS standards: fat 3.61 (0.05), protein 3.46 (0.06), solid-not fats 9.18 (0.04), density 1.031 (0.0002) and freezing point −0.597 (0.019). The protein percentage was below KeBS standards at all value chain nodes, except at the formal bulking node. There was significant contamination of milk samples: 16.7% of samples had added water, 8.8% had somatic cell count SCC above 300,000, 42.4% had E. coli, 47.9% had Pseudomonas spp., 3.3% had Staphylococcus spp. and 2.9% tested positive for brucellosis antibodies. Unsanitary milk handling practices were observed at farms and all value chains nodes. Milk physicochemical composition except for protein content meets the KeBS Standard. High levels of microbial contamination of milk pose a public health risk to consumers and show that urgent action is needed to improve milk quality. 2021-01 2020-07-20T15:03:57Z 2020-07-20T15:03:57Z Journal Article https://hdl.handle.net/10568/108823 en Open Access Elsevier Nyokabi, S.N., Boer, I.J.M. de, Luning, P.A., Korir, L., Lindahl, J., Bett, B. and Oosting, S.J. 2021. Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration. Food Control 119: 107482.
spellingShingle dairying
milk
food safety
animal production
value chains
farming systems
Nyokabi, S.N.
Boer, Imke J.M. de
Luning, P.A.
Korir, Luke
Lindahl, Johanna F.
Bett, Bernard K.
Oosting, S.J.
Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title_full Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title_fullStr Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title_full_unstemmed Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title_short Milk quality along dairy farming systems and associated value chains in Kenya: An analysis of composition, contamination and adulteration
title_sort milk quality along dairy farming systems and associated value chains in kenya an analysis of composition contamination and adulteration
topic dairying
milk
food safety
animal production
value chains
farming systems
url https://hdl.handle.net/10568/108823
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