| Literature DB >> 31183359 |
Consolata Nolega Musita1, Michael Wandayi Okoth1, George Ooko Abong'1.
Abstract
Postharvest handling of the potato is an important factor not only in preventing postharvest losses but also in maintaining its safety and nutritional quality. Exposure of the potato to unfavorable conditions such as light, extreme temperatures, and bruising can result in accumulation of glycoalkaloids, which are toxic substances. This study was a cross-sectional survey which aimed to investigate the postharvest handling practices of potatoes and perception of potato safety among open air market traders in Nairobi County, Kenya. Information was collected from 100 potato traders using a semistructured questionnaire that assessed postharvest handling practices such as potato transportation, exposure to sunlight, and storage. Results indicated that most of the potatoes (88%) took one day to be transported to the market, with the storage period at the market ranging from 2 to 3 days for most traders (42%). Forty-seven percent (47%) of the vehicles and hand-pulled carts used to transport potatoes had open backs, while 53% had closed backs. Over half (69%) of the potatoes in the markets were directly exposed to sunlight, with 75% of the traders leaving their potatoes in the open covered with a polythene bag after the day's activities. Greening, sprouting, or bruised potatoes were mostly sold as seed, sold to restaurants and French fries vendors, or sold to consumers at a lower price. More than half of the traders did not think that consumption of greened potatoes is harmful to health. The results clearly show that there is poor handling of the potatoes by the traders which increases the risk of consumer exposure to glycoalkaloids. There is, therefore, a need to create awareness among traders on appropriate postharvest handling of potatoes to protect consumer health and reduce economic losses as well.Entities:
Year: 2019 PMID: 31183359 PMCID: PMC6512071 DOI: 10.1155/2019/2342619
Source DB: PubMed Journal: Int J Food Sci ISSN: 2314-5765
Figure 1Study area, Nairobi County. Source: https://iddimagina.wordpress.com/tag/business-2/.
Sociodemographic characteristics of potato traders in open air markets in Nairobi County.
| Characteristic | Frequency (n=100) | Percentage (%) |
|---|---|---|
|
| ||
| Male | 53 | 53 |
| Female | 47 | 47 |
|
| ||
| 20-29 years | 20 | 20 |
| 30-39 years | 36 | 36 |
| 40-49 years | 20 | 20 |
| 50-59 years | 18 | 18 |
| >59 years | 6 | 6 |
|
| ||
| No education | 10 | 10 |
| Primary | 44 | 44 |
| Secondary | 44 | 44 |
| Tertiary | 2 | 2 |
Figure 2Varieties of potatoes sold in open air markets in Nairobi.
Figure 3Source of ware potatoes sold in open air markets in Nairobi.
Association between postharvest handling practices and socioeconomic and demographic characteristics.
| Postharvest handling practices | Subcounty | Market | Gender | Level of education | Potato variety | Age |
|---|---|---|---|---|---|---|
| Duration taken to market | 5.18 | 4.23 | 8.80 | 3.21 | 2.20 | 7.51 |
| Means of transport | 38.55 | 38.89 | 9.62 | 5.34 | 7.25 | 9.90 |
| Vehicle/handcart design | 32.89 | 32.89 | 9.36 | 6.78 | 9.36 | 5.49 |
| Storage of potato | 8.33 | 8.33 | 2.27 | 2.25 | 1.14 | 3.31 |
| Duration of storage of potato | 10.98 | 10.98 | 8.84 | 8.14 | 8.58 | 8.54 |
∗Significant at p<0.05.
Preferences (%) for different modes of transport.
| Factors | Means of transport | Design of the vehicle | |||
|---|---|---|---|---|---|
| Vehicle | Handcart | Open back | Closed back | ||
| Subcounty | Dagoretti | 84.4 | 15.6 | 49.6 | 50.4 |
| Westlands | 66.7 | 33.3 | 57.1 | 42.9 | |
| Kamukunji | 52.6 | 47.4 | 48.7 | 51.3 | |
| Starehe | 79.2 | 20.8 | 34.7 | 65.3 | |
| Embakasi | 42.2 | 57.8 | 59.2 | 40.8 | |
| Market | Kawangware | 49.2 | 50.8 | 44.3 | 55.7 |
| Kangemi | 43.8 | 56.2 | 41 | 59 | |
| Gikomba | 60.9 | 39.1 | 56.2 | 43.8 | |
| Wakulima | 56.7 | 43.3 | 67.1 | 32.9 | |
| Kona | 65.9 | 34.1 | 49.9 | 50.1 | |
| Gender | Male | 68.1 | 31.9 | 50 | 50 |
| Female | 63 | 37 | 49.4 | 50.6 | |
| Potato variety | Shangi | 62.8 | 37.2 | 46.5 | 53.5 |
| Golf | 100 | 0 | 0 | 100 | |
Logit model for exposure of potatoes to sunlight.
| Variable | Odds Ratio | |
|---|---|---|
| Subcounty | Dagoretti | 0.638 |
| Westlands | 0.542 | |
| Kamukunji | 1.486 | |
| Starehe | 1.791 | |
| EmbakasiR | ||
| Gender | Male | 5.256 |
| FemaleR | ||
| Education level | Primary | 0.431 |
| Secondary | 1.008 | |
| Tertiary | 0.694 | |
| No educationR | ||
| Variety of potato | Shangi | 0.060 |
| GolfR | ||
| Supply of potatoes | Own production | 0.298 |
| Buy from other retailersR | ||
| Age | 2.547 |
∗Significant at p<0.05, R-reference category, R2=0.30, constant=0.00.
Figure 4Action taken by traders for potatoes that show signs of greening.
Figure 5Action taken by traders on bruised or sprouting potatoes.
Factors associated with trader perception of safety of potatoes.
| Traders' understanding of greening in potatoes (%) | |||||||
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| Socioeconomic and demographic factors | Seed | Effects of light or high temperature | Effect of plant disease | Immature potato | Spoilage | P-value | |
|
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| Potato variety | Shangi | 51.6 | 25.8 | 0 | 4.3 | 18.3 | 0.04 |
| Golf | 14.3 | 28.6 | 14.3 | 0 | 42.9 | ||
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| Actions taken by traders for potatoes that show greening | |||||||
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| Sell as seed | Sell to consumers | Sell at lower price | Consume it | Dispose | P-value | ||
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| Subcounty | Dagoretti | 68.5 | 5.1 | 15.7 | 0 | 10.7 | 0.02 |
| Westlands | 72.2 | 0 | 11.2 | 0 | 16.6 | ||
| Kamukunji | 58.1 | 10.6 | 5.1 | 5.1 | 21.2 | ||
| Starehe | 34.7 | 0 | 0 | 4.2 | 61.1 | ||
| Embakasi | 53.1 | 5.6 | 17.5 | 0 | 23.7 | ||
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| Actions taken by traders for potatoes that show greening | |||||||
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| Socioeconomic and demographic factors | Sell as seed | Sell to consumers | Sell at lower price | Consume it | Dispose | P-value | |
|
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| Market | Kawangware | 68.5 | 5.1 | 15.7 | 0 | 10.7 | 0.02 |
| Kangemi | 72.2 | 0 | 11.2 | 0 | 16.6 | ||
| Gikomba | 58.1 | 10.6 | 5.1 | 5.1 | 21.2 | ||
| Wakulima | 34.7 | 0 | 0 | 4.2 | 61.1 | ||
| Kona | 53.1 | 5.6 | 17.5 | 0 | 23.7 | ||
| Age | <20 | 0 | 100 | 0 | 0 | 0 | 0.02 |
| 20-25 | 36 | 11.9 | 16.1 | 0 | 36 | ||
| 26-30 | 71.4 | 0 | 5.8 | 2.7 | 20.1 | ||
| >30 | 57.1 | 0 | 8.5 | 2.7 | 31.6 | ||
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| Actions taken by traders for potatoes that show signs of damage/bruising | |||||||
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| Socioeconomic and demographic factors | Sell to vendors or restaurants | Given as additional items to customers | Consume | Sell at discounted price | Dispose | P-value | |
|
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| Subcounty | Dagoretti | 20.9 | 20.9 | 5.3 | 52.9 | 0 | 0.00 |
| Westlands | 15.9 | 15.9 | 20.8 | 47.3 | 0 | ||
| Kamukunji | 31.6 | 10.7 | 20.9 | 31.6 | 5.3 | ||
| Starehe | 56 | 12.6 | 12.6 | 12.6 | 6.3 | ||
| Embakasi | 42 | 10.6 | 0 | 47.3 | 0 | ||
| Market | Kawangware | 20.9 | 20.9 | 5.3 | 52.9 | 0 | 0.00 |
| Kangemi | 15.9 | 15.9 | 20.8 | 47.3 | 0 | ||
| Gikomba | 31.6 | 10.7 | 20.9 | 31.6 | 5.3 | ||
| Wakulima | 56 | 12.6 | 12.6 | 12.6 | 6.3 | ||
| Kona | 42 | 10.6 | 0 | 47.3 | 0 | ||
| Gender | Male | 34.8 | 17.4 | 2.2 | 43.4 | 2.2 | 0.00 |
| Female | 30.4 | 10.8 | 21.8 | 34.8 | 2.2 | ||