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Weed Population Dynamics in Potato Cropping Systems as Affected by Rotation Crop, Cultivation, and Primary TillageUllrich, Silke January 2000 (has links) (PDF)
No description available.
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Quackgrass [Agropyron repens (L.) Beauv.] control in potatoes with quizalofop-ethylPoliquin, Bernard January 1989 (has links)
Field trials were conducted to evaluate the effect of quizalofop-ethyl on quackgrass plants in a potato cropping sequence. Fall and summer applications were compared for their quackgrass control potential. Season-long quackgrass control was obtained with quizalofop-ethyl at 96 g/ha following summer application. An increase in the rate of quizalofop-ethyl did not further improve control. Yields with quizalofop-ethyl at 96 g/ha were similar to standard treatments sethoxydim and fluazifop-butyl at recommended rates. Quackgrass control following a summer application was not maintained through to the following season. Fall applications did not result in adequate control of quackgrass the following season at any of the quizalofop-ethyl rates tested.
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Quackgrass [Agropyron repens (L.) Beauv.] control in potatoes with quizalofop-ethylPoliquin, Bernard January 1989 (has links)
No description available.
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Predicting Potato Yield Loss Due to Metribuzin Sensitivity in North DakotaIbrahim, Razi January 2018 (has links)
A 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). / USDA Specialty Block Grant Program
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