Browsing by Author "Sebatta, Christopher"
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Item Bridging the Gap: Decomposing Sources of Gender Yield Gaps in Uganda Groundnut Production.(Gender, Technology and Development, 2019) Mugisha, Johnny; Sebatta, Christopher; Mausch, Kai; Ahikiriza, Elizabeth; Okello, David Kalule; Njuguna, Esther M.Female plot managers in Sub-Saharan Africa often realize significantly lower crop yields than their male counterparts. Even for legumes, which are often referred to as ‘women’s crops’, yields are significantly lower. This study investigated the underlying causes of this gender yield gap in groundnut production. The analysis is based on survey data from 228 farm households from two groundnut growing regions in Uganda. We used the Blinder-Oaxaca model to decompose factors that contribute to this yield gap. Results show 63% and 44% gender yield gaps for improved and local varieties, respectively, with female plot managers realizing less than their male counterparts. Improved groundnut seeds increase female plot manager’s yields but not the yields of male plot managers. Male advantage and female disadvantage combined account for more than 70% of the yield gap in both improved and local groundnut variety production and exceed pure productivity differences. Labor use differences between female and male plot managers and variety types explain the observed yield gap. Interventions and policies that increase women’s access to productive inputs including improved seed will significantly contribute to closing the yield gap, and thereby increase crop production, food security, as well as women’s incomes.Item Can Occurrence and Distribution of Ground Beetles (Carabidae) Be Influenced by the Coffee Farming System in the Mount Elgon Region of Uganda?(Neotropical Entomology, 2021) Raphael Ijala, Anthony; Kyamanywa, Samuel; Cherukut, Scola; Sebatta, Christopher; Hilger, Thomas; Karungi, JeninahThe Mount Elgon region of Uganda has coffee farmlands distributed along the slopes of the mountain, in a mosaic of differing crop combinations, and semi-natural vegetation. Thus, there are parcels of varying microclimate that create disparities in occurrence of key insect functional groups. The study quantified the occurrence of Carabidae in 72 coffee farmlands categorized by altitude: low (1400–1499 m.a.s.l), mid (1500–1679 m.a.s.l), and high (1680–2100 m.a.s.l); and farming system: coffee monocrop, coffee+annual crops, coffee+banana, and coffee+banana+shade trees. The results revealed highly significant effects of altitude, farming systems, and the interaction of the two on occurrence of three Carabidae genera (Anisodactylus, Chlaenius, and Harpalus.). The abundance of Harpalus spp. was higher at lower altitudes in coffee monocropped farming systems; Anisodactylus spp. were more abundant at higher altitudes in coffee+annual crop systems; and Chlaenius spp. were highest in the coffee+banana+shade tree system at mid altitudes. The belowground microclimate parameters of soil moisture, pH, EC; and the aboveground diversity of semi-natural vegetation explained some of the differences in occurrence of the different Carabidae genera. This distinctiveness in preference of different genera in the same family hinders collective recommendations but looks to a more pragmatic strategy in nurturing diversity on a holistic scale.Item Parasitism of Hypothenemus hampei (Coleoptera: Scolytidae) in different farming systems and altitudes of Mount Elgon, Uganda(Journal of Applied Entomology, 2019) Raphael Ijala, Anthony; Kyamanywa, Samuel; Cherukut, Scola; Sebatta, Christopher; Karungi, JeninahAltitude and farming system play a vital role in modifying the niche for arthropods, by directly influencing microclimatic conditions, the quality and quantity of vegetative cover, which act variably on the behaviour of the pests, and their natural enemies. The objective of the study was to determine their effect on the abundance and parasitism of the Coffee berry borer (Hypothenemus hampei) in the Mount Elgon region. Altitude was categorized as: low (1,400–1,499 m.a.s.l); mid (1,500‐1,679 m.a.s.l); and high (1,680–2,100 m.a.s.l), and farming system was categorized as: Coffee monocrop; Coffee + annual; Coffee + banana; and Coffee + banana + shade trees. For each altitudinal range, each farming system was represented three times. The study was in two districts of the Mt. Elgon, covering a total of 72 Arabica Coffee study sites. The work involved field pest infestation inventories, followed by laboratory rearing for the abundance and parasitism studies. The results revealed highly significant interactions between altitude and farming system in influencing the abundance of the pest and its four parasitoids: Phymastichus coffea, Cephalonomia stephanoderis, Prorops nasuta and Heterospilus coffeicola. C. stephanoderis was highest in the mid‐altitudes within Coffee + banana+shade tree system; P. nasuta was highest at high altitude within Coffee + banana system; P. coffea was most abundant at mid‐altitude within Coffee + banana system, whereas H. coffeicola was highest at high altitude within the Coffee + annual cropping system. H. hampei counts were highest at low altitudes, especially in the Coffee + annual system. Some of these trends can be explained by the condition of the microclimate in the Coffee fields. There was a negative relationship between temperature and abundance of all the four parasitoids. Only C. stephanoderis had a relationship (+) with semi‐natural vegetation species counts. And only H. coffeicola had a relationship (+) with light intensity. These contrasted with H. hampei, which was positively related to temperature and negatively to light intensity.Item Pathways to sustainable intensification of the coffee-banana agroecosystems in the Mt. Elgon region(Cogent Food & Agriculture, 2019) Sebatta, Christopher; Mugisha, Johnny; Bagamba, Fredrick; Nuppenau, Ernst A.; Domptail, Stephanie E.; Kowalski, Benjamin; Hoeher, Matthias; Ijala, Anthony R.; Karungi, JeninahDespite the importance of coffee and banana as key income and food sources for millions of farmers inhabiting the densely populated East African highlands as well as and urban dwellers, there are declining yields. One of the causes for this decline is increased soil degradation that has led to recent conversions of more forest land into crop land in marginal and sensitive mountain ecosystems. However, evidence shows that only a few households manage the desired shift to sustainable production systems, mainly due to social, economic and environmental constraints. In this study we therefore, set out to find out typologies of coffee-banana farms based on intensification levels and pathways taken using a number of agricultural intensification surrogate indicators. We also sought to find the driving factors and barriers for intensification. Using Principal Component, cluster and Pearson correlation analyses, and later both a Generalised Linear and Multinomial Logit models, results revealed four distinct intensification pathways, one of which is a high-inputhigh- output conventional pathway and the other three were low-to-medium input agroecological pathways. Adoption of an intensification pathway could be impeded by geographical location, wealth status in form of livestock, land and lack of credit access. We found the hypothesis that resource-rich farmers intensify by capital investments, while the resource-constrained farmers intensify through labour true for the conventional and agroecological intensification pathways respectively. The existence of intermediary pathways under the agroecological classification creates opportunities for interventions that target to increase yields while reducing degradation and negative environmental impacts of agriculture.Item Potato Market Access, Marketing Efficiency And On-Farm Value Addition In Uganda(Scientific African, 2018) Kyomugisha, Harriet; Sebatta, Christopher; Mugisha, JohnnyUnderstanding barriers to market access for smallholder farmers and their marketing efficiency when they participate in agricultural value chains is key to unlocking the market potential and overcoming market failures. This study aimed at determining factors limiting farmers’ market access, the break-even point for undertaking postharvest value addition activities by the farmers, and the market efficiency of the Uganda potato market chains in which the smallholder farmers are participating. Our study was based on the hypothesis that market access and efficiency are higher where farmers have contract arrangements with buyers, and where they are directly linked with the buyers at the end of the value chain. The study was carried out in the popular potato growing districts of Kabale and Mbale in Uganda. The survey involved purposive selection of the study areas and random selection of potato farmers and traders. We used an Ordinary Least Square model to determine factors that influence potato smallholder farmers’ market access. We also used break-even analysis to determine the break-even point for potato farmers to take up postharvest value addition activities, and a value addition approach to determine market efficiency. Results indicate that having a contract with buyers, size of land owned, number of forked hoes owned and variety grown positively and significantly influenced farmer market access. We found that adding value to potato on farm earns farmers relatively more income. A farmer would earn 25% higher than when no value addition was done. Market chains where farmers sell to local rural traders were more efficient than selling to other alternatives. We recommend farmer involvement in value addition, collective and/or contractual marketing, and selling directly to the nearest actor in the value chain.Item Potential Determinants of Profits and Market Efficiency of Potato Market Chains in Uganda(Journal of Agribusiness in Developing and Emerging Economies, 2017) Kyomugisha, Harriet; Mugisha, Johnny; Sebatta, ChristopherThe study aimed at understanding the level of inefficiencies in the potato market chain. Farmers sell potato to traders but continue to complain of limited market access and low profits. The purpose of this paper is to determine market efficiency and profits of the potato market chain, and factors that influence the profits.The study focussed on potato farmers, traders and small-scale processors. It was conducted in Kabale and Mbale districts being the major potato producing areas in Uganda, and Kampala being a major potato market. Data were collected from 180 farmers, 60 traders and 32 small-scale processors. Descriptive and regression methods were used to analyse the data.There were three major potato market chains and all were profitable and efficient. The farmer-buyer node was the most efficient (efficiencies of 128-159 per cent). The trader node efficiency ranged between 56 and 81 per cent. Sex of chain actor, group marketing, contract duration and distance to market were among the factors that affected profits.Processors considered were those operating on very small scale, hence results do not apply to large-scale processing. Consumers were not included but the data and results are adequate for the study objective.This paper provides empirical information that serves as a basis to adopt market options for increased benefits to various chain actors.Item Smallholder Farmers’ Decision and Level of Participation in the Potato Market in Uganda(Modern Economy, 2014) Sebatta, Christopher; Mugisha, Johnny; Katungi, Enid; Kashaaru, Apolo; Kyomugisha, HarrietSmallholder potato farmers in Uganda face many production and marketing challenges including limited access to markets and low surpluses for sale into the market. This study sought to underscore the factors that influence smallholder farmers’ decision to participate in the potato market and level of participation in such markets. Data were collected from 200 smallholder potato farmers in Kabale and Mbale districts. Descriptive statistics and a two-stage Heckman model were used to analyse the data. Results indicated that proximity to a village market positively and significantly (p ≤ 0.05) influenced decision to participate in the potato market. Results of the second stage of the model indicated that non-farm income earned negatively and significantly (p ≤ 0.01) affected the potato farmer’s level of market participation.