Common weeds found in selected cassava farms in Eastern zone of Tanzania

dc.contributor.authorLeonard, Joseph A.
dc.contributor.authorKudra, Abdul B.
dc.contributor.authorBaijukya, Frederick
dc.contributor.authorTryphone, George M.
dc.date.accessioned2024-04-04T10:50:32Z
dc.date.available2024-04-04T10:50:32Z
dc.date.issued2022-04-04
dc.descriptionResearch article
dc.description.abstractA field study was conducted at Kiimbwanindi village, Mkuranga district and Ilonga village, Kilosa district. Coast and Morogoro regions of Tanzania, respectively to identify the common weeds affecting cassava fields. A total of 24 random 1 m × 1 m quadrat were placed in each cassava field where by all weed species found in each quadrat were identified to a species level. During weed identification, weed density, uniformity and frequency were calculated according to Thomas methodology and used to determine weeds’ relative abundance. Also, a composite soil samples were collected based on random sampling procedure at a depth of 0 to 50 cm from each field before land preparation and analysed in the laboratory in order to determine the amount of nutrient content available in the soil. A total of 22 weeds species belonging to 16 families were identified, whereby out of these 14 were broad leaved weeds, 6 grassy weeds, 1 mushroom and 1 sedged weed belonging to 10 perennial and 12 annual weeds plant. During weed identification, Cyperus rotundus and Echinochloa colona were the most abundantweed species while Dactyloctenium aegyptium, Portulaca oleracea, Agaricus sp and Bidens pilosa were the least occurred weed species. Perennial weeds Cyperus rotundus, Echinochloa colona, Trichodesma zeylanicum, Reissantia sp, Mucuna pruriens and Commelina benghalensis found to be the mostly abundant weed species due to their ability to adapt into various soil types and their ability to reproduce as compared to other weeds. The study recommended that, research toward new or improved weed control measures is needed and also more survey work is needed on a regular basis to identify possible weed population shifts.
dc.identifier.issn2276-7770
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/5988
dc.language.isoen
dc.publisherGreener Journal of Agricultural Sciences
dc.relation.ispartofseriesVol. 12(1), pp. 75-85, 2022
dc.subjectWeed
dc.subjectThomas methodology
dc.subjectRelative Abundance
dc.subjectWeed density
dc.titleCommon weeds found in selected cassava farms in Eastern zone of Tanzania
dc.typeArticle

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