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Browsing by Author "Gumisiriya, Costa"

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    Assessment of electrical conductivity and germinability of groundnut genotype seeds
    (Acta Agraria Debreceniensis, 2025-06-08) Akuo, Ruth; Okiria, Latif Aisu; Ssemugenze, Brian; Gumisiriya, Costa; Kabaale, Fred Peter; Ocwa, Akasairi
    Seed quality affects crop establishment and productivity. In addition, the use of good-quality seed is an essential prerequisite for sustainable crop production including groundnuts. Assessing germinability and electrical conductivity provides early evidence of the production potential of a given crop variety or genotype. Therefore, this study assessed the germinability and electrical conductivity of seeds of three groundnut genotypes. A laboratory experiment arranged in a Completely Randomized Design (CRD), replicated three times, was conducted at the Faculty of Agriculture, Kyambogo University, in 2020. Seeds of Igola, Serenut 1, and Serenut 2 groundnut varieties were tested, and data was collected on germination percentage and electrical conductivity. Analysis of variance (ANOVA) was performed using GenStat and means were separated using the least significant difference test at a 5% probability level. Germination percentage and electrical conductivity significantly (p<0.05) differed among the groundnut varieties, with Igola recording the highest germination percentage, followed by Serenut 1, and the lowest was in Serenut 2. The highest electrical conductivity was recorded in Serenut 1 and the lowest in Igola. Since Igola had one of the lowest electrical conductivity and the highest germination percentage, it was concluded that Igola genotype retained higher quality attributes.
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    Prioritising non-native pest species to inform plant health biosecurity policy decisions and to safeguard agriculture, forestry, biodiversity, and livelihoods in Uganda /
    (Frontirs in Agronomy, 2025-08-07) Mulema, Joseph; Nankinga, Caroline; Kagorora, John Patrick Kanahe; Tusiime, Geoffrey; Amayo, Robert; Chemonges, Martin; Gumisiriya, Costa; Kato, Fred; Kigongo, Boniface Mulindwa; Kutunga, David; Mudde, Barnabas; Muhumuza, John Bosco; Mukasa, Yosia; Musiimenta, Herbert; Muzira, Fred; Namasa, Emmanuel John; Idd, Ramathan; Sebutare, Gilbert; Ssamula, Alexander; Tukahirwa, Benius; Opio, Samuel Morris; Obare, Ivan Juma; Aliamo, Caroline; Alokit, Christine; Tumuhaise, Venansio; Karanja, Daniel; Mwambu, Paul; Oronje, MaryLucy; Athman, Shahasi Yusuf; Akiri, Morris; Rwomushana, Ivan; Tugume, Joab; Talwana, Herbert; Onkendi, Edward; Ochwo, Mildred
    In recent years, various invasive species have been introduced to sub-Saharan Africa, partly due to insufficient information about potential invasions, which has led countries to respond reactively rather than proactively. This information can be gathered through horizon scanning. Using the CABI Horizon Scanning Tool, 9,071 pest species have been identified as unreported in Uganda. A subset of 1,517 was prioritised for rapid risk assessment based on guidelines that evaluated the likelihood of entry and establishment, the magnitude of socio-economic and environmental impact, as well as potential pathways of introduction. These pest species included 357 arthropods, 130 bacteria, 74 chromista, 417 fungi, 19 molluscs, 124 nematodes, nine protists, and 387 viruses and viroids, of which 360 of the 1,517 were reported as invasive. Vectors and vectored organisms were also assessed to determine their associated risk. Management actions were recommended for 618 species, which included 160 arthropods, 70 bacteria, 30 chromista, 174 fungi, six molluscs, 41 nematodes, three protists, eight viroids, and 126 viruses. These pest species either attained an overall risk score of 54 and above or a lower score for specific pest species. The actions included targeted surveillance, regulation supported by pest risk analysis, contingency planning, publicity, management by the industry, and research. This information is vital for risk monitoring and management and can be utilised by countries in the East African Region.

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