| Literature DB >> 35071767 |
Joseph P Musara1, Handsen Tibugari1, Busani Moyo2, Chinomukutu Mutizira3.
Abstract
Domestic and international crops and livestock trade remain fragile among Zimbabwean smallholder farmers. Commercial crop-livestock integration in climate change vulnerable areas is low and sparsely documented. Practice, knowledge, and attitude indicators influencing participation of smallholder farmers in crop-livestock integrated platforms as a hedge against climate change-induced risks and uncertainties were assessed. A survey with 240 farmers in Insiza district, Matabeleland province, Zimbabwe was conducted. A modified knowledge, attitude, and perception framework was used to analyze data from six wards supported by World Vision through supplementary livelihood programs on crop-livestock integration. Conventional crop-livestock (63%), mixed crops-livestock (25%), and traditional grains-livestock (12%) options were dominant. There was a thin presence of stakeholders with a limited number of local buyers, contracting companies, and agro-dealers who participate on these platforms. Farmers have the knowledge, positive attitude, and motivated perceptions about the potential of traditional grains-livestock mechanisms to reduce climate change welfare compromising factors. Unbalanced policies, limited financing, and uncompetitive marketing channels limit the uptake of this option. Traditional grains-livestock alternatives should be supported in semi-arid environments to reduce food, income, and nutrition insecurity. Public-private partnerships should establish value addition systems to increase the market size of traditional grains-livestock products and enhance commercialization.Entities:
Keywords: climate change resilience; crop-livestock integration; semi-arid area; smallholder farmers; stakeholder networking
Year: 2021 PMID: 35071767 PMCID: PMC8724351 DOI: 10.1515/biol-2021-0135
Source DB: PubMed Journal: Open Life Sci ISSN: 2391-5412 Impact factor: 0.938
Figure 1A conceptual perspective of crop-livestock integration networking systems. Adapted from Mkuhlani et al. [12] and Musara et al. [20].
Figure 2Sampling framework and data collection strategy.
Selected socio-economic characteristics
| Parameter | Sampled ward | |||||
|---|---|---|---|---|---|---|
| 1 | 11 | 2 | 19 | 9 | 12 | |
| Cattle price/unit (US$) | 400 | 450 | 400 | 500 | 500 | 450 |
| Goat price/unit (US$) | 50 | 47.5 | 50 | 50 | 40 | 40 |
| Indigenous chicken price/unit (US$) | 5 | 5 | 5 | 5 | 7 | 5 |
| Livestock body condition | Poor | Poor | Poor | Poor | Fair | Poor |
| Pastures availability | Very poor | Very poor | Very poor | Very poor | Poor | Very poor |
| Livestock poverty death | Low | Low | Low | Low | Low | Low |
| State of water source (full capacity) | 48% | 20% | 5% | 10% | 60% | 60% |
| Water for livestock tracking distance (km) | 6 | 7 | 7 | 15 | 5 | 4 |
| Distance to household water source (km) | 3.2 | 4.5 | 1.25 | 7 | 3 | 2 |
| Maize price/20 kg tin (US$) | 8 | 6 | 8 | 5 | 7 | 7 |
| Pearl millet price/20 kg tin (US$) | 10 | 10 | 10 | 15 | 8 | 10 |
| Rapoko price/20 kg tin (US$) | 12 | 10 | 12 | 15 | 8 | 10 |
| Sorghum price/20 kg tin (US$) | 10 | 10 | 10 | 10 | 8 | 10 |
Source: author analysis.
Figure 3Forms of crop-livestock integration used by the farmers. Source: Author analysis.
Figure 4Stakeholders participating on the crop-livestock integration platforms. Source: Author analysis.
Figure 5Mean scores for KAP across the crop-livestock integration schemes. Source: Author analysis.
Figure 6Least square means of KAP scores for the crop-livestock integration schemes. Source: Author analysis.
Summary of challenges experienced by the farmers (percent score)
| Constraints in using option | Crop-livestock integration mode | |||
|---|---|---|---|---|
| Conventional crop-livestock | Traditional grains-livestock | Mixed crops-livestock | Total sample | |
| Ineffective extension services | 5.34 | 5.88 | 5.22 | 5.66 |
| Unreliable product markets | 5.25 | 5.79 | 5.28 | 5.43 |
| Lack of information | 4.09 | 4.56 | 4.17 | 4.48 |
| Insufficient finances | 4.99 | 5.12 | 5.01 | 5.00 |
| High prices of inputs | 4.83 | 5.09 | 4.92 | 5.02 |
| Frequent disease outbreaks | 4.47 | 4.12 | 4.23 | 4.31 |
| Low producer prices | 4.43 | 4.45 | 4.44 | 4.43 |
| Late delivery of inputs | 4.21 | 4.78 | 4.53 | 4.69 |
| Unavailability of inputs | 3.99 | 5.43 | 4.39 | 4.64 |
| Labor shortages | 3.48 | 3.21 | 3.49 | 3.42 |
Source: author analysis.