Management factors affecting milk yield, composition, and quality on smallholder dairy farms.

A cross-sectional study on 156 smallholder dairy farms in Rwanda was carried out to assess the association between farm management practices and milk yield and quality. A pre-tested questionnaire was used to collect data on cow characteristics and farm management practices. Milk yield was recorded at household level, milk composition was monitored using a Lactoscan device (Milk Analyzer). Somatic cell count (SCC) was determined using a DeLaval cell counter (DCC). A Delvotest SP-NT kit was used to determine antibiotic residues in raw milk. Most dairy cows were kept in zero-grazing system (84.6%) and most farmers had less experience of dairy production (78.2%). Mean daily milk yield was 3.9 L/cow and was associated with type of breed, milking frequency, stage of lactation, and parity. Mean milk content of protein, fat, lactose and solid non-fat, and density were normal and showed no association with different management practices. Based on SCC analyses, 65.8% of the milk samples with less than 300,000 cells/mL were graded as acceptable for delivery to a milk collection centre (MCC) and 12.9% of the samples tested positive for antibiotic residues. These findings suggest low milk yields on smallholder farms in Rwanda that are attributable to type of breed and prevalent high level mastitis, among other factors. The results also indicate possible non-compliance with withdrawal periods, resulting in antibiotic residues in milk, which has public health implications for consumers. Routine testing at MCC for both SCC and antibiotic residues is important for quality control.
Competing Interests: Declarations. Ethics approval: This research was reviewed and approved by the College of Medicine and Health Sciences (CMHS) Institutional Review Board (IRB) of the University of Rwanda, with approval notice No. 181/CMHS IRB/2021. Consent to participate: Further approval was obtained from participants before their voluntary participation in the study by signing informed consent forms. Consent for publication: The manuscript is approved by all authors for publication. Declaration of generative AI and AI-assisted technologies in the writing process: The authors did not use any artificial intelligence-assisted technologies in the writing process. Conflict of interest: The authors declare no competing interests.
(© 2025. The Author(s).)