Browsing by Author "Nampala, P."

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    Assessment of Striga hermonthica infestation and effectiveness of current management strategies in maize-based cropping systems in eastern Uganda
    (African Crop Science Journal, 2022) Bisikwa, J.; Nampala, P.; Nsibo, D.L.; Kwikiriza, N.; Bukenya, C.; Otim, M.H.; Kapting, I.; Kabuye, F.M.; Felix, J.
    Striga is a major constraint to cereal production in the tropics, particularly on soils of low fertility. Striga causes 30 to 80% cereal crop losses in sub-Saharan Africa. The objective of this study was to assess farmers’ perception of level of infestation and efficacy of current management options of Striga (Striga hermonthica (Delile) Benth) in maize-based cropping systems in eastern Uganda. A survey was conducted in Iganga district in eastern Uganda, involving 360 households. On the basis of the survey outputs, on-farm trials were conducted to assess the efficacy of a herbicide seed-coating technology, imazapyr herbicide resistant maize (IR-maize) variety, either as a sole crop or intercropped with soybean (Glycine max) or common beans (Phaseolus vulgaris L). The study revealed that S. hermonthica caused more than 50% maize (Zea mays) yield loss and farmers were dissatisfied with the existing control practices. Farmers’ knowledge about Striga was mainly sourced from agricultural extension service providers. The on-farm trials revealed that IR-maize provided effective protection against S. hermonthica infestation. Also, intercropping Longe 6H maize variety with either soybean or common beans significantly reduced Striga infestation in farmers’ fields. Longe 6H-soybean intercropping reduced Striga infestation by 32%; while Longe 6H-common bean intercropping reduced Striga infestation by 14%. Intercropping either IR-maize or Longe 6H hybrid (farmer-preferred) with the aforementioned legumes, reduced S. hermonthica infestation (30–50%) and improved maize yield parameters (20-30%). For effective management of S. hermonthica in the maize-based cropping systems in eastern Uganda, farmers should be encouraged to adopt the improved IR-maize and intercrop farmer-preferred maize varieties with legumes in order to improve maize yields.
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    Enhancing Nutritional Density and Quality of Banana-Soy Based Complementary Diet Through Substitution with Sesame
    (African Journal of Food, Agriculture, Nutrition and Development, 2008) Bukusuba, J.; Isabiry, F.; Nampala, P.
    Although Uganda is well endowed with adequate food supplies, more than one third of the children under the age of five are malnourished and 60% of all deaths of children under five years of age are directly or indirectly attributable to malnutrition. The causes of this public health problem in Uganda are complex and multidisciplinary, but poor quality and quantity of foods given to children play a major role. In this study, we conducted a rat feeding trial experiment in order to explore the potential of a banana-soy based diet optimally incorporated with sesame as a complementary diet to support growth of children. The study applied sensory evaluation and rat feeding trial experiments to investigate the optimum level of sesame incorporation in an earlier formulated bananasoy diet and as well explore the nutritional value of the final diet. Crude protein, ash and energy contents of the formulations were determined using AOAC methods. Data were analyzed using GenStat 5 Release 3.2. Nutrient and energy composition was compared using ANOVA and PER was compared using t-test. Results showed that a mixture of 67% banana, 16.5% soybean and 16.5% sesame flours produced a blend whose proximate analysis, PER and sensory evaluation studies had satisfactory nutritional quality, quantity and optimum organoleptic attributes. There was a high nutritional quality attained when soy and sesame flours were mixed in equal proportions. Therefore optimum incorporation of soybean and sesame in banana based complementary diets not only greatly enhances nutrient density and quality of these diets but also their organoleptic attributes. Feeding children these diets could break the cycle of childhood malnutrition through reduced feeding of starchy gruels that have low energy and protein contents or with undesirable sensory properties. The mixture is also easy to prepare at community level and may be adequate for catch up growth among children recovering from malnutrition.
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    Farmer-participatory Evaluation of Cowpea integrated Pest Management (IPM) Technologies in Eastern Uganda
    (Crop Protection, 2003) Nabirye, J.; Nampala, P.; Ogenga-Latigo, M.W.; Kyamanywa, S.; Odeke, V.; Adipala, E.
    A three-season study was conducted with the goal of verifying integrated pest management (IPM) technologies developed at Makerere University for management of cowpea field pests. Ten IPM-field schools with 10–20 farmers were run for three consecutive seasons of 2000 A (first rains), 2000 B (second rains), and 2001 A. Each school evaluated seven treatments that included farmers’ practices; cowpea monoculture and cowpea/sorghum intercrop mixtures, and five varying insecticide spray regimes. The key insect pests targeted by the sprays included aphids, Aphis craccivora Koch, flower thrips, Megalurothrips sjostedi Trybom, the legume pod borer, Maruca vitrata Fabricius (formerly M. testularis Geyer), and a range of pod sucking bugs (i.e., Nezera viridula Linnaeus, Clavigralla tomentosicollis Stal., Riptortus dentipes Fab.). The experiment was a randomized complete block design with farms (i.e., field schools) as replicates. Results indicated that combining cultural practices and spraying once each at budding, flowering, and podding stages was more effective and profitable than spraying cowpea weekly throughout the growing season. An IPM practice which combined early planting, close spacing cowpea (30×20cm2), and three insecticide applications once each at budding, flowering and podding stages, had the highest yields of 791kg/ha with a 51% yield gain over the farmers’ traditional practices. Farmer evaluation over the three seasons revealed that this practice was most preferred by farmers, with a farmer preference of 46.4%, 57.1%, 71.4%, and 89.3% at planting, vegetative, flowering and harvesting evaluation stages, respectively.