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Seedling emergence model for tropic Ageratum (Ageratum conyzoides)

dc.contributor.authorEkeleme, F.
dc.contributor.authorForcella, F.
dc.contributor.authorArcher, D.
dc.contributor.authorAkobundu, O.
dc.contributor.authorChikoye, D.
dc.date.accessioned2019-12-04T11:19:01Z
dc.date.available2019-12-04T11:19:01Z
dc.date.issued2005
dc.identifier.citationEkeleme, F., Forcella, F., Archer, D., Akobundu, O. & Chikoye, D. (2005). Seedling emergence model for tropic ageratum (Ageratum conyzoides). Weed Science, 53(1), 55-61.
dc.identifier.issn0043-1745
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3375
dc.description.abstractThe timing of weed seedling emergence relative to the crop is important in planning and optimizing the time of weed control, but very little work has been done to predict seedling emergence of tropical weed species, especially in low-input and small-scale farms. We developed a simple model based on hydrothermal time to predict seedling emergence of tropic ageratum. Hydrothermal time at 2-cm soil depth was calculated from soil moisture and soil temperature simulated from several micrometeorological and soil physical variables. The model was developed using 5 yr of field emergence data from a continuous corn–cassava production system in southwestern Nigeria. Percentage of cumulative seedling emergence from the 5-yr data set was fitted to cumulative soil hydrothermal time using a Weibull function. The predicted cumulative emergence curve significantly matched observed field emergence (r2 = 0.83). Model predictions were evaluated with root mean square error (RMSE) using four field emergence data sets from southeastern Nigeria (RMSE ≤ 10.1) and Los Banos, Philippines (RMSE = 8.9). RMSE values ≤ 10 indicated that predictions represented observations well. With such models, extension personnel working on tropical soils, especially in West Africa, may be able to provide additional advice to farmers on the appropriate time for the management of tropic ageratum.
dc.language.isoen
dc.subjectHydrothermal Time
dc.subjectPhenology
dc.subjectSimulation
dc.subjectSoil Moisture
dc.subjectSoil Temperature
dc.subjectTropical Weed
dc.titleSeedling emergence model for tropic Ageratum (Ageratum conyzoides)
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationMichael Okpara University of Agriculture
cg.contributor.affiliationUnited States Department of Agriculture
cg.contributor.affiliationWindsor Mill, United States
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionAcp
cg.coverage.regionWest Africa
cg.coverage.regionNorth America
cg.coverage.countryNigeria
cg.coverage.countryUnited States
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectWeeds
cg.iitasubjectSoil Information
cg.iitasubjectSoil Health
cg.iitasubjectSoil Surveys And Mapping
cg.iitasubjectSoil Fertility
cg.iitasubjectIntegrated Soil Fertility Management
cg.iitasubjectFarm Management
cg.iitasubjectLivelihoods
cg.iitasubjectHandling, Transport, Storage And Protection Of Agricultural Products
cg.accessibilitystatusLimited Access
local.dspaceid95049
cg.identifier.doihttps://dx.doi.org/10.1614/WS-03-147R1


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