Predicting Potato Yield Loss Due to Metribuzin Sensitivity in North Dakota

dc.contributor.authorIbrahim, Razi
dc.date.accessioned2018-09-19T20:16:32Z
dc.date.available2018-09-19T20:16:32Z
dc.date.issued2018en_US
dc.description.abstractA linear-log model to predict yield loss due to metribuzin injury was established by Love et. al. in 1993. Two experiments were conducted in 2016 and 2017 to evaluate and improve this model for application in North Dakota (ND). Metribuzin was applied (1.12 a.i./ha) when potato plants were 20-30 cm tall at Inkster, ND. The model did not accurately predict yield loss in 2016 but performed better in 2017. Foliar injury was more correlated with yield reduction than relative plant height. Results also indicated that new models that used foliar injury at 21 days after treatment (DAT) data and at 7 DAT data, most accurately predicted total yield loss and marketable yield loss, respectively. The new model performed similar to the previous model, but unlike previous model it can predict yield loss very early in growing season (21 DAT).en_US
dc.description.sponsorshipUSDA Specialty Block Grant Programen_US
dc.identifier.urihttps://hdl.handle.net/10365/28860
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
dc.subject.lcshPotatoes -- Weed control.
dc.subject.lcshMetribuzin.
dc.subject.lcshPlants -- Effect of herbicides on.
dc.subject.lcshPotatoes -- Yields -- Mathematical models.
dc.titlePredicting Potato Yield Loss Due to Metribuzin Sensitivity in North Dakotaen_US
dc.typeThesisen_US
ndsu.advisorValenti, Harlene H.
ndsu.advisorThompson, Asunta L.
ndsu.collegeAgriculture, Food Systems and Natural Resourcesen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.departmentPlant Sciencesen_US
ndsu.programPlant Sciencesen_US

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