| Literature DB >> 33936560 |
Faith R Chidavaenzi1, Adrino Mazenda2, Ntobeko Ndlovu1.
Abstract
Increasing food production by developing small-scale irrigation schemes is a requirement for tackling household food insecurity. Strategies, such as the World Vision, Enhancing Nutrition, Stepping Up Resilience and Enterprise, have been established to enhance food availability in the drought-prone Burirano Ward 4, Chipinge, Zimbabwe, through the drip irrigation intervention. This study analysed the extent to which the drip intervention has increased food production, abilities, income and nutrition of households. Consequently, the key factors impacting the performance of the drip irrigation scheme were assessed. The study utilised a mixed-method convergent parallel design, drawing from semi-structured questionnaires administered on a census of 40 household beneficiaries as well as a focus group discussion of five key informants directly linked to the Chidzadza irrigation scheme, Burirano Ward 4, Chipinge, Zimbabwe. The findings show that the drip irrigation scheme significantly increased households' food production abilities, nutrition and income. The main factors responsible for the success of the drip irrigation scheme are cheap labour from household members and agriculture extension support. Issues that prevent the success of the scheme include erratic rain supplies and damaged water pipes. Strategies to increase household food production through the drip irrigation scheme include maintenance of water pipes, an increase in water catchment areas and water availability through solar-powered borehole systems.Entities:
Keywords: Chidzadza irrigation scheme; Zimbabwe; drip irrigation; food security; household resilience
Year: 2021 PMID: 33936560 PMCID: PMC8063555 DOI: 10.4102/jamba.v13i1.985
Source DB: PubMed Journal: Jamba ISSN: 1996-1421
FIGURE 1Conceptual framework.
Gender of the household head.
| Gender | Frequency | % | Valid % | Cumulative % |
|---|---|---|---|---|
| Male | 18 | 45 | 45 | 45 |
| Female | 22 | 55 | 55 | 100 |
Age of the household head.
| Age group | Frequency | % | Valid % | Cumulative % |
|---|---|---|---|---|
| 18–25 | 3 | 7.5 | 7.5 | 7.5 |
| 26–35 | 9 | 22.5 | 22.5 | 30 |
| 36–45 | 13 | 32.5 | 32.5 | 62.5 |
| 46–55 | 10 | 25 | 25 | 87.5 |
| 56+ | 5 | 12.5 | 12.5 | 100 |
Level of education.
| Education level | Frequency | % | Valid % | Cumulative % |
|---|---|---|---|---|
| Primary education | 7 | 17.5 | 17.5 | 17.5 |
| Secondary education | 33 | 82.5 | 82.5 | 100 |
Crop yield before and after drip intervention.
| Crop yield | Crop type | Minimum | Maximum | Mean | Standard deviation | |
|---|---|---|---|---|---|---|
| Before drip | Maize | 40 | 30 | 765 | 310 | 149 |
| Beans | 40 | 0 | 165 | 65 | 56 | |
| Covo | 40 | 10 | 45 | 22 | 7 | |
| Tomatoes | 40 | 0 | 175 | 62 | 85 | |
| With drip | Maize | 40 | 100 | 1300 | 607 | 253 |
| Beans | 40 | 50 | 380 | 182 | 75 | |
| Covo | 40 | 20 | 65 | 35 | 9 | |
| Tomatoes | 40 | 22 | 350 | 206 | 83 |
Note: All yields are converted to kilograms (kg) (1 bundle of covo = 1 kg).
Impact of administering a drip on crop yields.
| Crop type | Dosage | Mean rank | Sum of ranks | |||
|---|---|---|---|---|---|---|
| Maize | Before drip | 40 | 26 | 1026 | 205 | 0.000 |
| With drip | 40 | 55 | 2215 | - | - | |
| Total | 80 | - | - | - | - | |
| Beans | Before drip | 40 | 25 | 996 | 176 | 0.000 |
| With drip | 40 | 56 | 2244 | - | - | |
| Total | 80 | - | - | - | - | |
| Covo | Before drip | 40 | 25 | 1012 | 192 | 0.000 |
| With drip | 40 | 56 | 2228 | - | - | |
| Total | 80 | - | - | - | - | |
| Tomatoes | Before drip | 40 | 25 | 1007 | 186 | 0.000 |
| With drip | 40 | 56 | 2234 | - | - | |
| Total | 80 | - | - | - | - |
Note: P-value significance level at 1%, 5% and 10%.
Impact of gender, age and education on crop production.
| Gender | Maize | Beans | Covo | Tomatoes |
|---|---|---|---|---|
| Kruskal–Wallis | 3.423 | 0.082 | 2.040 | 0.090 |
| df | 1 | 1 | 1 | 1 |
| Asymp. sig. | 0.064 | 0.775 | 0.153 | 0.764 |
| Age | ||||
| Kruskal–Wallis | 3.035 | 8.011 | 5.104 | 4.881 |
| df | 4 | 4 | 4 | 4 |
| Asymp. sig. | 0.552 | 0.091 | 0.277 | 0.300 |
| Education | ||||
| Kruskal–Wallis | 2.666 | 0.000 | 1.164 | 0.674 |
| df | 1 | 1 | 1 | 1 |
| Asymp. sig. | 0.103 | 0.986 | 0.281 | 0.412 |
Note: P-value significance level at 1%, 5% and 10%.
df, degrees of freedom.