Exploring the Interaction of Altitude, Breedand Management on Physicochemical Properties of Milk in Admixed Dairy Cattle of Muheza District

Dairy cow is a nutrient rich food containing essential nutrients such as fat, protein, lactose, minerals, and vitamins. Breed, agroecology, and management influence its quality, particularly physiochemical composition. This study assessed the physiochemical composition of milk from different breeds raised under varying altitudes and management in Muheza district, Tanga, Tanzania. A cross-sectional study involving structural questionnaires, face-to-face group discussions, and milk sampling was conducted among 207 farmers managing 400 crossbred dairy cows (197 in lowlands, 203 in highlands) data were analyzed using Crosstabs, Student’s t-test, chi-squire, and Analysis of Variance (ANOVA), in Statistical Package for Social Sciences (SPSS). Mean value of fat, protein, lactose, Ph and density in highlands and lowlands milk were 3.38%, 3.22%, 3.61%, 6.65, 1.028 g/cm3 and 2.89%, 3.03%, 3.56%, 6.79, 1.028 g/cm3, respectively. Milk fat, protein, and Ph significantly differed (p < 0.05) with altitude, while lactose and density did not. Altitudes interacted with breed, pasture type and parity affecting fat, protein, and Ph. Despite differences across groups, all milk components were within FAO, WHO and EAC Standards. Farmers are encouraged to improve herd genetics toward Guernsey and Jersey breeds due to their superior milk fat and protein content.

Authors

Institutions

Publication Details

Journal
European Journal of Agriculture and Food Sciences
Published
2025-09-15
DOI
https://doi.org/10.24018/ejfood.2025.7.5.957
Citations
1
Primary Topic
Livestock Management and Performance Improvement
Type
article
Field-Weighted Citation Impact
1.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Interaction of Altitude, Breedand Management on Physicochemical Properties of Milk in Admixed Dairy Cattle of Muheza District

Mwemezi L. Kabululu, P. French, Zabron Nziku, Isaac Kashoma et al.
1 citations
European Journal of Agriculture and Food Sciences
Livestock Management and Performance Improvement
1.90
article

Exploring the Interaction of Altitude, Breedand Management on Physicochemical Properties of Milk in Admixed Dairy Cattle of Muheza District

Mwemezi L. Kabululu, P. French, Zabron Nziku, Isaac Kashoma, Charles M. Lyimo, Joel Mahugija Malagira
article en
1 citations

Abstract

Dairy cow is a nutrient rich food containing essential nutrients such as fat, protein, lactose, minerals, and vitamins. Breed, agroecology, and management influence its quality, particularly physiochemical composition. This study assessed the physiochemical composition of milk from different breeds raised under varying altitudes and management in Muheza district, Tanga, Tanzania. A cross-sectional study involving structural questionnaires, face-to-face group discussions, and milk sampling was conducted among 207 farmers managing 400 crossbred dairy cows (197 in lowlands, 203 in highlands) data were analyzed using Crosstabs, Student’s t-test, chi-squire, and Analysis of Variance (ANOVA), in Statistical Package for Social Sciences (SPSS). Mean value of fat, protein, lactose, Ph and density in highlands and lowlands milk were 3.38%, 3.22%, 3.61%, 6.65, 1.028 g/cm3 and 2.89%, 3.03%, 3.56%, 6.79, 1.028 g/cm3, respectively. Milk fat, protein, and Ph significantly differed (p < 0.05) with altitude, while lactose and density did not. Altitudes interacted with breed, pasture type and parity affecting fat, protein, and Ph. Despite differences across groups, all milk components were within FAO, WHO and EAC Standards. Farmers are encouraged to improve herd genetics toward Guernsey and Jersey breeds due to their superior milk fat and protein content.

European Journal of Agriculture and Food SciencesVol. 7(5)
Tanzania Wildlife Research Institute (TZ), Teagasc - The Irish Agriculture and Food Development Authority (IE), Sokoine University of Agriculture (TZ)
Teagasc
Openalex Percentile: Top 12%
Livestock Management and Performance Improvement
1.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.