Manure management system in dairy production is of great concern given the fact that if improperly managed contributes significantly to greenhouse gas emissions. On the other hand, properly managed manure provides fuel (biogas) and organic fertilizer. This study assessed the existing manure management system and factors influencing biogas technology adoption among smallholder dairy farmers in urban (Arusha City Council), peri-urban (Arusha District Council), and rural areas (Hai District Council) in Northern Tanzania. These districts were purposively selected based on the fact that they have a large number of smallholder dairy farmers producing large quantities of manure. A total of 150 households (50 from each study district) were purposively selected. Structured questionnaires were administered to the heads of the household’s head, to collect both qualitative and quantitative data. Data on the household socio-economic characteristics were analyzed using descriptive statistics. The chi-square test was used to analyze manure management system variation among smallholder dairy farmers. Logistic regression was also used to determine the factors influencing the adoption of biogas technology among smallholder dairy farmers. The results showed that there were significant variations in manure management systems such as solid storage, daily spread, and anaerobic digester (p < 0.05). Logistic regression revealed that socioeconomic factors such as Household income, Household size, and Herd size had a positive influence on biogas technology adoption at (p < 0.05). Education level and farm size showed an influence on technology adoption by having an odd ratio greater than one. The findings provide an understanding of the existing manure management system and factors influencing the adoption of biogas technology. The study recommends training programs to be sensitized on the best manure management system to fill the education gap, low-interest loans and subsidies to minimize the initial installation cost of bigas accessories. Additionally, larger herd size farmers and large family size are highly sensitized due to the availability of enough substrate and labour for biogas operation. Further research on the influence of other source of energy on biogas technology adoption in both urban and rural smallholder dairy farmers is required.
Published in | International Journal of Animal Science and Technology (Volume 9, Issue 2) |
DOI | 10.11648/j.ijast.20250902.18 |
Page(s) | 100-111 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Cattle Manure, Biogas Technology, Manure Management System, Smallholder Dairy Farmers
Variables | Urban | Pri-Urban | Rural | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Min | Mean | Max | S. D | Min | Mean | Max | S. D | Min | Mean | Max | S. D | |
Age | 28 | 54.8 | 80 | 10.3 | 38 | 59 | 77 | 8.6 | 35 | 53.7 | 68 | 9.28 |
Household size | 2 | 3.18 | 7 | 1.17 | 2 | 3.12 | 7 | 0.8 | 2 | 3.68 | 5 | 0.98 |
Farming experience | 4 | 19.8 | 55 | 12.9 | 2 | 22.3 | 50 | 14 | 1 | 13.9 | 45 | 12.9 |
Herd size | 2 | 4.22 | 18 | 2.87 | 1 | 4.64 | 16 | 3.7 | 1 | 6.86 | 18 | 4.99 |
Variable | Category | Urban (%) | Peri-urban (%) | Rural (%) | Total |
---|---|---|---|---|---|
Gender | Male | 25.3 | 29.3 | 22.7 | 77.30 |
female | 8.0 | 4.0 | 10.7 | 22.7 | |
Marital status | Married | 24.66 | 27.3 | 22.7 | 74.7 |
Single | 8.7 | 6.0 | 10.7 | 25.3 | |
Education level | No formal school | 1.3 | 2.0 | 6% | 9.3 |
Primary | 7.3 | 20.7 | 12.7 | 40.7 | |
secondary | 9.3 | 5.3 | 6.7 | 21.3 | |
Tertiary | 15.3 | 5.3 | 8 | 28.7 | |
Farm size (Acre) | Less than one | 28.0 | 23.3 | 12.7 | 64.0 |
One to five | 5.3 | 10. | 20.7 | 36.0 | |
Household income (Mil/yr) | Less than 3 | 18.7 | 24.7 | 16.0 | 59.3 |
Three to five | 14.0 | 6.7 | 16.7 | 37.4 | |
greater than 5 | 0.7 | 2.0 | 0.7 | 3.3 | |
Training on MMP | YES | 8.7 | 6.7 | 13.30 | 28.66 |
No | 24.7 | 26.7 | 20.0 | 71.3 | |
Awareness to biogas technology | yes | 12.0 | 15.3 | 20.0 | 47.3 |
NO | 21.3 | 18.0 | 13.30 | 52.7 |
Location | ||||||
---|---|---|---|---|---|---|
Manure management system | Urban (%) | Peri-urban (%) | Rural (%) | Total (N=150) (%) | X2 | P- value |
Solid storage | 16.7 | 12 | 6.7 | 35.3 | 9.862 | 0.007 |
Daily spread | 6.7 | 10 | 14.7 | 31.3 | 6.755 | 0.034 |
Anaerobic digester | 4.7 | 5.3 | 10 | 20 | 4.750 | 0.093 |
composting | 2.7 | 3.3 | 1.3 | 7.3 | 1.373 | 0.503 |
Slurry/Liquid | 2.7 | 2.7 | 0.7 | 6.1 | 2.128 | 0.345 |
Variables | Coefficients | S.E. | Wald | df | P- value. | Odd ratio | VIF |
---|---|---|---|---|---|---|---|
Age | 0.126 | 0.102 | 1.546 | 1 | 0.214 | 1.135 | 1.391 |
Household size | 0.856 | 0.328 | 6.825 | 1 | 0.009 | 2.354 | 1.351 |
Education level | 1.08 | 0.559 | 3.735 | 1 | 0.053 | 2.944 | 1.100 |
Farm size | 0.373 | 1.151 | 0.105 | 1 | 0.746 | 1.451 | 1.119 |
Farming experience | -0.078 | 0.065 | 1.445 | 1 | 0.229 | 0.925 | 1.507 |
household income | 3.495 | 1.361 | 6.596 | 1 | 0.01 | 3.2944 | 1.524 |
Herd size | 0.351 | 0.173 | 4.118 | 1 | 0.042 | 1.421 | 1.203 |
Awareness to biogas technology | -2.1683 | 3.348 | 0.213 | 1 | 0.995 | 0.132 | 1.521 |
Training on MMP | -0.885 | 1.19 | 0.552 | 1 | 0.457 | 0.413 | 1.361 |
SDF | Smallholder Dairy Farming |
SDG | Sustainable Development Goal |
CE | Circular Economy |
AADGG | Africa Asian Dairy Genetic Gain |
GHG | Greenhouse Gas Emission |
VIF | Variance Inflation Factor |
PRA | Performance Recording Agent of the Project |
ODK | Open data kit |
SPSS | Statistical Package for Social Sciences |
S. D | Standard Deviation |
df | Degree of Freedom |
S.E | Standard Error |
MMP | Manure Management System |
Max | Maximum |
Min | Minimum |
TALIRI | Tanzania Livestock Research Institute |
ILRI | International Livestock Research Institute |
SUA | Sokoine University of Agriculture |
X2 | Chi- square |
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APA Style
Dawite, S., Maleko, D. D., Selemani, I. S., Lyatuu, E. T., Komwihangilo, D. M., et al. (2025). Manure Management Systems and Factors Influencing Biogas Technology Adoption Among Smallholder Dairy Farmers in Northen Tanzania. International Journal of Animal Science and Technology, 9(2), 100-111. https://doi.org/10.11648/j.ijast.20250902.18
ACS Style
Dawite, S.; Maleko, D. D.; Selemani, I. S.; Lyatuu, E. T.; Komwihangilo, D. M., et al. Manure Management Systems and Factors Influencing Biogas Technology Adoption Among Smallholder Dairy Farmers in Northen Tanzania. Int. J. Anim. Sci. Technol. 2025, 9(2), 100-111. doi: 10.11648/j.ijast.20250902.18
AMA Style
Dawite S, Maleko DD, Selemani IS, Lyatuu ET, Komwihangilo DM, et al. Manure Management Systems and Factors Influencing Biogas Technology Adoption Among Smallholder Dairy Farmers in Northen Tanzania. Int J Anim Sci Technol. 2025;9(2):100-111. doi: 10.11648/j.ijast.20250902.18
@article{10.11648/j.ijast.20250902.18, author = {Sabina Dawite and David Dawson Maleko and Ismail Saidi Selemani and Eliamoni Titus Lyatuu and Daniel Mshumbusi Komwihangilo and Raphael Mrode}, title = {Manure Management Systems and Factors Influencing Biogas Technology Adoption Among Smallholder Dairy Farmers in Northen Tanzania }, journal = {International Journal of Animal Science and Technology}, volume = {9}, number = {2}, pages = {100-111}, doi = {10.11648/j.ijast.20250902.18}, url = {https://doi.org/10.11648/j.ijast.20250902.18}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijast.20250902.18}, abstract = {Manure management system in dairy production is of great concern given the fact that if improperly managed contributes significantly to greenhouse gas emissions. On the other hand, properly managed manure provides fuel (biogas) and organic fertilizer. This study assessed the existing manure management system and factors influencing biogas technology adoption among smallholder dairy farmers in urban (Arusha City Council), peri-urban (Arusha District Council), and rural areas (Hai District Council) in Northern Tanzania. These districts were purposively selected based on the fact that they have a large number of smallholder dairy farmers producing large quantities of manure. A total of 150 households (50 from each study district) were purposively selected. Structured questionnaires were administered to the heads of the household’s head, to collect both qualitative and quantitative data. Data on the household socio-economic characteristics were analyzed using descriptive statistics. The chi-square test was used to analyze manure management system variation among smallholder dairy farmers. Logistic regression was also used to determine the factors influencing the adoption of biogas technology among smallholder dairy farmers. The results showed that there were significant variations in manure management systems such as solid storage, daily spread, and anaerobic digester (p < 0.05). Logistic regression revealed that socioeconomic factors such as Household income, Household size, and Herd size had a positive influence on biogas technology adoption at (p < 0.05). Education level and farm size showed an influence on technology adoption by having an odd ratio greater than one. The findings provide an understanding of the existing manure management system and factors influencing the adoption of biogas technology. The study recommends training programs to be sensitized on the best manure management system to fill the education gap, low-interest loans and subsidies to minimize the initial installation cost of bigas accessories. Additionally, larger herd size farmers and large family size are highly sensitized due to the availability of enough substrate and labour for biogas operation. Further research on the influence of other source of energy on biogas technology adoption in both urban and rural smallholder dairy farmers is required. }, year = {2025} }
TY - JOUR T1 - Manure Management Systems and Factors Influencing Biogas Technology Adoption Among Smallholder Dairy Farmers in Northen Tanzania AU - Sabina Dawite AU - David Dawson Maleko AU - Ismail Saidi Selemani AU - Eliamoni Titus Lyatuu AU - Daniel Mshumbusi Komwihangilo AU - Raphael Mrode Y1 - 2025/06/23 PY - 2025 N1 - https://doi.org/10.11648/j.ijast.20250902.18 DO - 10.11648/j.ijast.20250902.18 T2 - International Journal of Animal Science and Technology JF - International Journal of Animal Science and Technology JO - International Journal of Animal Science and Technology SP - 100 EP - 111 PB - Science Publishing Group SN - 2640-1312 UR - https://doi.org/10.11648/j.ijast.20250902.18 AB - Manure management system in dairy production is of great concern given the fact that if improperly managed contributes significantly to greenhouse gas emissions. On the other hand, properly managed manure provides fuel (biogas) and organic fertilizer. This study assessed the existing manure management system and factors influencing biogas technology adoption among smallholder dairy farmers in urban (Arusha City Council), peri-urban (Arusha District Council), and rural areas (Hai District Council) in Northern Tanzania. These districts were purposively selected based on the fact that they have a large number of smallholder dairy farmers producing large quantities of manure. A total of 150 households (50 from each study district) were purposively selected. Structured questionnaires were administered to the heads of the household’s head, to collect both qualitative and quantitative data. Data on the household socio-economic characteristics were analyzed using descriptive statistics. The chi-square test was used to analyze manure management system variation among smallholder dairy farmers. Logistic regression was also used to determine the factors influencing the adoption of biogas technology among smallholder dairy farmers. The results showed that there were significant variations in manure management systems such as solid storage, daily spread, and anaerobic digester (p < 0.05). Logistic regression revealed that socioeconomic factors such as Household income, Household size, and Herd size had a positive influence on biogas technology adoption at (p < 0.05). Education level and farm size showed an influence on technology adoption by having an odd ratio greater than one. The findings provide an understanding of the existing manure management system and factors influencing the adoption of biogas technology. The study recommends training programs to be sensitized on the best manure management system to fill the education gap, low-interest loans and subsidies to minimize the initial installation cost of bigas accessories. Additionally, larger herd size farmers and large family size are highly sensitized due to the availability of enough substrate and labour for biogas operation. Further research on the influence of other source of energy on biogas technology adoption in both urban and rural smallholder dairy farmers is required. VL - 9 IS - 2 ER -