Estimation of Critical Period of Weed Control

cg.contactunkown@unknown3.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Jordan, Faculty of Agriculture - JU - Agricultureen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1017/S0043174500093899en_US
cg.isijournalISI Journalen_US
cg.issn0043-1745en_US
cg.issn1550-2759en_US
cg.issue2en_US
cg.journalWeed Scienceen_US
cg.subject.agrovoclentilsen_US
cg.subject.agrovoclentilen_US
cg.volume44en_US
dc.contributorSaxena, Mohan C.en_US
dc.contributorAbu-Irmaileh, Ben_US
dc.contributorAl-Thahabi, S. A.en_US
dc.contributorHaddad, N. I.en_US
dc.creatorSingh, K. Ben_US
dc.date.accessioned2022-03-21T20:30:24Z
dc.date.available2022-03-21T20:30:24Z
dc.description.abstractAn estimation of the critical period of weed control is helpful in formulating appropriate weed-control strategies, A regression approach is presented to estimate the thresholds of critical period of weed control and time of equal interference (or time of onset of competition), In this approach, yields were either a linear or logistic function of the duration of weed-free and weed-infested periods, Confidence intervals of the thresholds of critical period and time of equal interference were determined for the linear model, An approximation to the standard error of critical period and associated confidence interval were given for any general form of the model, The method was applied to estimate the critical period of weed control in rainfed lentil using data from four field experiments conducted in Jordan, The relationship of yield with the duration of weed-free period was described by a linear function, whereas the relationship with the duration of weed-infested period showed a better fit with a logistic function, To maintain 90 % of maximum seed yield, the maximum time allowed to let weeds grow after the crop emergence varied over locations from 4.8 to 5.8 wk. The same level could be achieved if the crop is kept free of weeds from its emergence until 12.1 to 14.1 wk; while the time when the same amount of yield would be achieved under both approaches varied from 7.7 to 9.3 wk after crop emergence, For straw yield, the time to get 90% of the maximum yield could vary over location from a maximum of 4.5 to 8.0 wk under weed-infestation and from at least 11.5 to 13.5 wk when weed-free, The time to achieve the same amount of straw under two systems of competition varied from 6.5 to 9.9 wk after crop emergence, One of the four experiments showed a longer critical period than the others for seed and straw yields.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationK. B Singh, Mohan C. Saxena, B Abu-Irmaileh, S. A. Al-Thahabi, N. I. Haddad. (12/6/2017). Estimation of Critical Period of Weed Control. Weed Science, 44 (2), pp. 273 -283.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67225
dc.languageenen_US
dc.publisherWeed Science Society of Americaen_US
dc.sourceWeed Science;44,(2017) Pagination 273 -283en_US
dc.subjectweed interferenceen_US
dc.subjectlinear functionen_US
dc.subjectlogistic functionen_US
dc.titleEstimation of Critical Period of Weed Controlen_US
dc.typeJournal Articleen_US
dcterms.available2017-06-12en_US
dcterms.extent273 -283en_US
dcterms.issued1996-04-01en_US
mel.impact-factor2.713en_US

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