Seedling emergence model for tropic Ageratum (Ageratum conyzoides)

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cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationMichael Okpara University of Agricultureen
cg.contributor.affiliationUnited States Department of Agricultureen
cg.contributor.affiliationWindsor Mill, United Statesen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.coverage.countryNigeria
cg.coverage.countryUnited States
cg.coverage.iso3166-alpha2NG
cg.coverage.iso3166-alpha2US
cg.coverage.regionAfrica
cg.coverage.regionACP
cg.coverage.regionWestern Africa
cg.coverage.regionNorthern America
cg.identifier.doihttps://doi.org/10.1614/ws-03-147r1en
cg.isijournalISI Journalen
cg.issn0043-1745en
cg.issue1en
cg.journalWeed Scienceen
cg.reviewStatusPeer Reviewen
cg.subject.iitaWEEDSen
cg.subject.iitaSOIL INFORMATIONen
cg.subject.iitaSOIL HEALTHen
cg.subject.iitaSOIL SURVEYS AND MAPPINGen
cg.subject.iitaSOIL FERTILITYen
cg.subject.iitaINTEGRATED SOIL FERTILITY MANAGEMENTen
cg.subject.iitaFARM MANAGEMENTen
cg.subject.iitaLIVELIHOODSen
cg.subject.iitaHANDLING, TRANSPORT, STORAGE AND PROTECTION OF AGRICULTURAL PRODUCTSen
cg.volume53en
dc.contributor.authorEkeleme, F.en
dc.contributor.authorForcella, F.en
dc.contributor.authorArcher, D.en
dc.contributor.authorAkobundu, O.en
dc.contributor.authorChikoye, Daviden
dc.date.accessioned2018-03-23T06:48:58Zen
dc.date.available2018-03-23T06:48:58Zen
dc.identifier.urihttps://hdl.handle.net/10568/91893
dc.titleSeedling emergence model for tropic Ageratum (Ageratum conyzoides)en
dcterms.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.en
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationEkeleme, F., Forcella, F., Archer, D., Akobundu, O. & Chikoye, D. (2005). Seedling emergence model for tropic ageratum (Ageratum conyzoides). Weed Science, 53(1), 55-61.en
dcterms.extentp. 55-61en
dcterms.issued2005-01
dcterms.languageen
dcterms.publisherCambridge University Pressen
dcterms.subjecthydrothermal timeen
dcterms.subjectphenologyen
dcterms.subjectsimulationen
dcterms.subjectsoil moistureen
dcterms.subjectsoil temperatureen
dcterms.subjecttropical weeden
dcterms.typeJournal Article

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