Authors :
D N Mutuku; G O Otieno; J M Ateka; S M Mutua
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/3pbret3x
Scribd :
https://tinyurl.com/3we36ujd
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP1356
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Livestock feed is a key factor influencing
animal production and productivity as evidenced by the
increased demand for animal source foods (ASFs) to feed a
growing human population in Kenya. However, there
exists untapped potential of pasture commercialization
and hence the need to harness the social, economic and
environmental benefits in the ASALs for overall rural
development. A study was conducted to characterize the
existing pasture production systems in Makueni County.
A purposive random sampling of 300 respondents drawn
from 3 Sub-counties and 12 wards was conducted in
Makueni County in January, 2021. The study aimed to
characterize existing pasture production systems using a
structured questionnaire. Data were analyzed using
descriptive and inferential statistics. Multivariate
statistical techniques; principal Component Analysis
(PCA) and Cluster Analysis (CA) were used to determine
whether or not there were significant differences in the
pasture production systems in Makueni County. Results of
the study showed that majority (97%) of the farmers were
small scale farmers (SSFs) who dedicated less than 5 acres
of their land to pasture production. The mean age of small-
scale farmers was 52 years compared to 55 years for the
large-scale farmers (LSFs). Most of the households were
male headed (83%). Most of the SSFs household heads had
primary level of education level or lower while most of the
large-scale household heads had secondary education and
above. Majority (35%) of SSFs owned the land under
pasture without a title while most of the LSFs had a title.
The land under pasture for SSFs was about 2 acres with an
average of 102 bales per season while LSFs had about 23
acres under pasture and produced about 1,762 bales per
season. Majority (92%) grew local grass varieties and sold
their pasture in form of a bale. 58% of SSFs sited NGOs as
their main source of grass seeds while LSFs mainly
sourced from agrovets Results of PCA revealed that 6 of
the 17 components had eigen values greater than 1 and
accounted for 58% of the total variance. Based on
Euclidian distance, six clusters were determined using the
agglomeration schedule. ANOVA analysis of the six
profiles were estimated to have p-values of 0.000,
suggesting the existence of significance difference between
cluster 1 to 6 in relation to the 6 profiles and hence
concluding the existence of variations in pasture
production systems in Makueni County. Development
strategies should focus on knowledge of and improved
access to grass seeds to farmers as well as development of
standards of the mode of sale of pasture.
Keywords :
Pasture, PCA, CA, HCI, Feed Balance, Small Scale Farmers, Large Scale Farmers.
References :
- Gebrekidan, B. H., Heckelei, T., & Rasch, S. (2020). Characterizing farmers and farming system in Kilombero Valley Floodplain, Tanzania. Sustainability (Switzerland), 12(17). https://doi.org/10.3390/su12177114
- Karega, L., & Muthusi, J. (2019). National Feed Inventory and Feed Balance Assessment: The Case of 23 ASAL Counties of Kenya Final Report.
- Kenya. (2019). Makueni Climate Resilience and Food Security Project.
- Karl B. Fischer (1998). Clustering in the Galaxy Redshit Survey.
- Kfssg 2021 Short Rains Food and Nutrition Security Assessment Findings Kenya Food Security Meeting. (2022).
- Kuivanen, K. S., Alvarez, S., Michalscheck, M., Adjei-Nsiah, S., Descheemaeker, K., Mellon-Bedi, S., & Groot, J. C. J. (2016). Characterising the diversity of smallholder farming systems and their constraints and opportunities for innovation: A case study from the Northern Region, Ghana. NJAS - Wageningen Journal of Life Sciences, 78, 153–166. https://doi.org/10.1016/j.njas.2016.04.003
- Loko, Y. L. E., Gbemavo, C. D. S. J., Djedatin, G., Ewedje, E. E., Orobiyi, A., Toffa, J., Tchakpa, C., Sedah, P., & Sabot, F. (2022). Characterization of rice farming systems, production constraints and determinants of adoption of improved varieties by smallholder farmers of the Republic of Benin. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-07946-2
- Makueni County Livestock Feed Strategy 2023-2033.
- Mohamed Sala, S., Otieno, D. J., Nzuma, J., & Mureithi, S. M. (2020). Determinants of pastoralists’ participation in commercial fodder markets for livelihood resilience in drylands of northern Kenya: Case of Isiolo. Pastoralism, 10(1). https://doi.org/10.1186/s13570-020-00166-1
- Nyambo, D. G., Luhanga, E. T., & Yonah, Z. Q. (2019). A review of characterization approaches for smallholder farmers: Towards predictive farm typologies. Scientific World Journal, 2019. https://doi.org/10.1155/2019/6121467
- Ouma, O. E. (2017). Analysis Of Fodder Production and Marketing in The Rangelands Of Southern Kenya of Science in Range Management (Economics Option) in the Department of Land Resource Management and Agricultural Technology.
- Pothuganti, K. (2020). Overview On Principal Component Analysis Algorithm In Machine Learning. In @International Research Journal of Modernization in Engineering. www.irjmets.com
- Sala, S. M. (2019). An Analysis of The Factors Influencing Participation Of Pastoralists In Commercial Fodder Value Chain For Livelihood Resilience In Isiolo County, Kenya.
Livestock feed is a key factor influencing
animal production and productivity as evidenced by the
increased demand for animal source foods (ASFs) to feed a
growing human population in Kenya. However, there
exists untapped potential of pasture commercialization
and hence the need to harness the social, economic and
environmental benefits in the ASALs for overall rural
development. A study was conducted to characterize the
existing pasture production systems in Makueni County.
A purposive random sampling of 300 respondents drawn
from 3 Sub-counties and 12 wards was conducted in
Makueni County in January, 2021. The study aimed to
characterize existing pasture production systems using a
structured questionnaire. Data were analyzed using
descriptive and inferential statistics. Multivariate
statistical techniques; principal Component Analysis
(PCA) and Cluster Analysis (CA) were used to determine
whether or not there were significant differences in the
pasture production systems in Makueni County. Results of
the study showed that majority (97%) of the farmers were
small scale farmers (SSFs) who dedicated less than 5 acres
of their land to pasture production. The mean age of small-
scale farmers was 52 years compared to 55 years for the
large-scale farmers (LSFs). Most of the households were
male headed (83%). Most of the SSFs household heads had
primary level of education level or lower while most of the
large-scale household heads had secondary education and
above. Majority (35%) of SSFs owned the land under
pasture without a title while most of the LSFs had a title.
The land under pasture for SSFs was about 2 acres with an
average of 102 bales per season while LSFs had about 23
acres under pasture and produced about 1,762 bales per
season. Majority (92%) grew local grass varieties and sold
their pasture in form of a bale. 58% of SSFs sited NGOs as
their main source of grass seeds while LSFs mainly
sourced from agrovets Results of PCA revealed that 6 of
the 17 components had eigen values greater than 1 and
accounted for 58% of the total variance. Based on
Euclidian distance, six clusters were determined using the
agglomeration schedule. ANOVA analysis of the six
profiles were estimated to have p-values of 0.000,
suggesting the existence of significance difference between
cluster 1 to 6 in relation to the 6 profiles and hence
concluding the existence of variations in pasture
production systems in Makueni County. Development
strategies should focus on knowledge of and improved
access to grass seeds to farmers as well as development of
standards of the mode of sale of pasture.
Keywords :
Pasture, PCA, CA, HCI, Feed Balance, Small Scale Farmers, Large Scale Farmers.