Drivers of Dry Common Beans Trade in Lusaka, Zambia: A Trader’s Perspective

Sichilima, Timothy; Mapemba, Lawrence; Tembo, Gelson

doi:10.5539/sar.v5n2p15

Cited by 19 publications

(31 citation statements)

References 16 publications

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“…In addition to their high yield potential, small-and medium-seeded beans are resistant to several diseases devastating the large-seeded beans such as angular leaf spot, anthracnose, rust, bean golden yellow mosaic virus and bean common mosaic virus and possess genes and high level of resistance to drought stress [6]. However, large-seeded Andean beans are the most widely grown in Eastern Africa because they are preferred by farmers and consumers for their seed quality and often fetch higher prices [5,7]. Andean genotypes possess a narrow to moderate genetic base especially for disease resistance and yield potential and thus, threatening progress toward improvements for those traits [8].…”

Section: Introductionmentioning

confidence: 99%

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Mondo¹,

Kimani²,

Narla³

2019

WJAR

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Determination of yield stability is critical in identifying new common bean cultivars with either specific or broad adaptation in target environments. This study aimed to assess genotype by environment (G x E) effects on agronomic performance of 78 F 1.7 lines selected with molecular markers for multiple disease resistance from 16 inter-racial bean populations. Field trials were conducted in low-, medium-and high altitude conditions in Kenya. Data collected on seed yield were subjected to additive main-effects and multiplicative interaction (AMMI) model to separate additive variance from the G x E interaction and to determine the stability of genotypes across locations. Results showed that G x E effects were highly significant (P<0.001), implying that tested lines behaved differently across the three locations. Better yields were recorded from high altitude Tigoni site while the lowest were from low altitude Mwea site. Yield across sites ranged from 1,518 to 2,748; 1,324 to 3,860; 1,537 to 3,722 and 1,010 to 3,718 kg ha-1 for pinto, red mottled, red kidney and mixed color bean lines, respectively. Number of pods plant-1 was the most strongly correlated to seed yield and could be, therefore, used as an indirect selection criterion for seed yield. The environment was responsible for the largest part of yield variability (86.4%, 84.8%, 82.3% and 49.5% for pinto, red kidney, red mottled and mixed color bean lines, respectively). KMA13-22-21 and KMA13-29-21 were the most stable high yielding lines across locations. Higher yielding lines were the most unstable across sites. Two pinto, four red kidney, 15 red mottled, and two mixed color lines did better than their corresponding checks with yield advantages of 7.6, 14.3, 71.5, and 34.9%, respectively. These lines should, therefore, be selected for further testing and release.

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Section: Introductionmentioning

confidence: 99%

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Mondo¹,

Kimani²,

Narla³

2019

WJAR

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“…A study conducted in Kenya [22] identified grain colour, cooking time, taste, grain size and availability of beans as significant factors underlying consumers' preferences. Similarly, a study in Zambia [23] reveals grain size and colour to influence consumers' preferences.…”

Section: Consumer Behaviour Theorymentioning

confidence: 98%

Factors underlying consumers’ choices of dry common beans in Dar es Salaam, Tanzania

Kilima¹,

Bolle²

2020

AJFAND

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Beans are widely grown, consumed and are major source of protein especially among low income households in Africa. The overall consumption is low but underlying reasons are not well established, leading to limited ability of chain actors to respond to consumers' requirements. This study was conducted in Dar es Salaam City, Tanzania to assess factors influencing consumers' choices of beans using data collected under Legume Innovation Lab Project SO2.2 in 2015 from a random sample of 600 households in a choice experiment setting. The experiment involved four beans attributes (grain colour, grain size, cooking time and gravy quality). Colour had four levels that were identified as soya supa, soya kawaida, mottled red and yellow while size had three levels (small, medium and large). Cooking time had two levels, slow cooking beans that require more than 120 minutes to cook and fast cooking beans, which require less than 90 minutes to cook. Gravy quality had two levels, poor (watery) and good (thick). Factorial design was used in the experiment where attributes were treated as factors to generate 48 choice tasks. The tasks were then blocked into six choice sets, each comprising eight hypothetical choice alternatives. Respondents were presented with each of the choice alternatives and asked to state whether they would choose it or not independent of the others, resulting into a binary dependent choice variable. Finally, the respondents were presented with all the choices made and given a fixed amount of money to spend over those choices. Cragg's double hurdle model was used to measure consumers' choices of beans and expenditure on the selected bean varieties. Results revealed that choices of beans were significantly influenced by gravy quality, cooking time, grain size as well as household size, income status of consumers, age and education of the main decision maker. Expenditure on the selected bean varieties were significantly influenced by gravy quality, cooking time, grain size, income status of consumers, education and sex of the main decision maker. Efforts to promote production and consumption of beans should focus on improving gravy quality, reducing cooking time and increasing grain size. Future research endeavours should attempt to explore further the overall effect of the three attributes and other identified factors on selection of wide range of beans varieties and expenditure on the same. This could be achieved by conducting more choice experiments using other popular beans.

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“…Thirty-two inter-racial and inter-gene pool populations were developed from crosses among Middle American (Mesoamerican) and Andean gene pool cultivars to broaden the genetic base of commercial cultivars, and take advantage of attributes of both gene pools. In addition to high yield potential of Middle American cultivars, they are resistant to major diseases of the Andean gene pool counterparts, and possess genes for drought resistance; while the Andean cultivars are the most preferred in Africa for their seed quality, and thus fetch higher prices in local markets (Welsh et al, 1995;Singh et al, 2002;Sichilima et al, 2016).…”

Section: Marker-assisted Gamete Selection For Multiple Disease Resistmentioning

confidence: 99%

Validation of effectiveness marker-assisted gamete selection for multiple disease resistance in common bean

Mondo¹,

Kimani²,

Narla³

2019

Afr. Crop Sci. J.

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Plant breeding is the most cost-effective, practical and environmentally friendly strategy for reducing losses associated with bean diseases, especially in low-input agricultural systems because no additional investment is required from farmers. However, incorporating resistance to one pathogen may not result in a significant change because several diseases co-infection beans at the farm level. Consequently, breeding varieties with multiple disease resistance is a more appropriate, reliable and sustainable approach. In such context, gamete selection is the more appropriate breeding method because it allows simultaneous selection for multiple traits; though as originally proposed and validated, it is largely based on phenotypic evaluation for agronomic traits, which leads to delay in variety development and strong dependence on erratic weather conditions. The objective of this study was to validate 26 F 1.8 elite bean lines selected for resistance to angular leaf spot (ALS), anthracnose, root rots, common bacterial blight (CBB) and bean common mosaic virus (BCMV), from inter-racial and inter-gene pool populations developed using molecular markers on the gamete selection method in early generations. Pathogens were isolated from diseased plants collected from various locations in central Kenya, multiplied on appropriate media and used to inoculate the test lines in a greenhouse at Kabete Field Station, University of Nairobi. Data on disease incidence and severity were collected at 14, 21, 28 th days after inoculation, using the 1-9 CIAT scale; except for the root rot experiments for which data were recorded once at 21 st day after seedling emergence. Results showed that five of the 26 elite lines possessed multiple resistance to five pathogens, eight to four pathogens, nine to three pathogens, three to two pathogens and one was resistant to one pathogen. This implied that markers, used in early generations, were effective in the identification and transfer of resistance genes to susceptible commercial varieties. However, there were no significant correlations in the reaction of tested genotypes to pathogens in this study, except between BCMV and ALS (r=0.3942*). This suggests that resistance genes are in different chromosomes and are assorted independently. The presence of genotypes with multiple disease resistance among test elite lines, confirms the effectiveness M.J. MONDO et al. 586 of inter-racial crosses and marker-assisted gamete selection to concurrently improve the resistance to common bean major diseases in Eastern Africa.

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Drivers of Dry Common Beans Trade in Lusaka, Zambia: A Trader’s Perspective

Cited by 19 publications

References 16 publications

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Factors underlying consumers’ choices of dry common beans in Dar es Salaam, Tanzania

Validation of effectiveness marker-assisted gamete selection for multiple disease resistance in common bean

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