Browsing by Author "Agaba, Rolland"

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    Genetic Variability for Yield and Nutritional Quality in Yam Bean (Pachyrhizus sp.)
    (HortScience, 2016-09-01) Agaba, Rolland; Tukamuhabwa, Phinehas; Rubaihayo, Patrick; Tumwegamire, Silver; Ssenyonjo, Andrew; Mwanga, Robert O.M.; Gr€uneberg, Wolfgang J.
    The amount of genotypic and phenotypic variability that exists in a species is important for selection and initiating breeding programs. Yam bean is grown locally in tropical countries of the Americas and Asia for their tasty storage roots, which usually have low dry matter content. The crop was recently introduced in Uganda and other East and Central African countries to supplement iron (Fe) and protein content in diets. This study aimed to estimate genetic variability for root yield and quality traits among 26 yam bean accessions in Uganda. A randomized complete block design was used with two replications across two ecogeographical locations and two seasons during 2012 and 2013. Near-infrared reflectance spectroscopy (NIRS) was used to determine quality of storage root samples. Significant differences among genotypes were observed for all traits except root protein, zinc (Zn), and phosphorus contents. Genotypic variance components (
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    Performance Of Integrated And Single Cooperatives In Bulk Production And Credit Provision To Smallholder Farmers In Uganda
    (Journal of Development and Agricultural Economics, 2021) Nimusiima, Mercy; Mugisha, Johnny; Obaa, Bernard; Agaba, Rolland
    Agricultural cooperatives are autonomous associations of individuals formed to augment production, marketing and financial needs of members. In Uganda, performance of cooperatives is largely constrained by weak organizational structures, market failures, and policy weaknesses. An integrated cooperative model (ICM) was introduced to improve performance of cooperatives but the effect of ICM on institutional performance has not been evaluated. This study examined the effect of cooperative integration on bulk production and credit provision to smallholder farmers. A multi-stage sampling technique was employed to select 40 cooperatives for the study. Primary qualitative and secondary quantitative data were collected from 16 focus group discussions and cooperatives’ performance reports respectively. Data was analyzed using thematic content analysis, t-test and censored tobit regression model to assess performance of the studied cooperatives. The results showed that integrated cooperatives bulk larger proportions of produce and disburse bigger loan proportions than single cooperatives. Tobit model revealed that integration has a positive significant (p< 0.05) influence on cooperatives’ performance in bulk production and providing credit. In conclusion, the results demonstrate that adoption of ICM improves performance of cooperatives and benefits to small holder farmers.