Academic literature on the topic 'Soybean – Weed control – Kansas'
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Journal articles on the topic "Soybean – Weed control – Kansas"
Regehr, David L., and Keith A. Janssen. "Preplant Weed Control in a Ridge-Till Soybean (Glycine max) and Grain Sorghum (Sorghum bicolor) Rotation." Weed Technology 3, no. 4 (December 1989): 621–26. http://dx.doi.org/10.1017/s0890037x00032917.
Full textDevlin, Daniel L., James H. Long, and Larry D. Maddux. "Using Reduced Rates of Postemergence Herbicides in Soybeans (Glycine max)." Weed Technology 5, no. 4 (December 1991): 834–40. http://dx.doi.org/10.1017/s0890037x00033947.
Full textSbatella, Gustavo M., Albert T. Adjesiwor, Andrew R. Kniss, Phillip W. Stahlman, Phil Westra, Michael Moechnig, and Robert G. Wilson. "Herbicide options for glyphosate-resistant kochia (Bassia scoparia) management in the Great Plains." Weed Technology 33, no. 5 (June 20, 2019): 658–63. http://dx.doi.org/10.1017/wet.2019.48.
Full textYadav, Ramawatar, Vipan Kumar, and Prashant Jha. "Herbicide programs to manage glyphosate/dicamba-resistant kochia (Bassia scoparia) in glyphosate/dicamba-resistant soybean." Weed Technology 34, no. 4 (January 13, 2020): 568–74. http://dx.doi.org/10.1017/wet.2020.3.
Full textChatham, Laura A., Kevin W. Bradley, Greg R. Kruger, James R. Martin, Micheal D. K. Owen, Dallas E. Peterson, Jugulam Mithila, and Patrick J. Tranel. "A Multistate Study of the Association Between Glyphosate Resistance and EPSPS Gene Amplification in Waterhemp (Amaranthus tuberculatus)." Weed Science 63, no. 3 (September 2015): 569–77. http://dx.doi.org/10.1614/ws-d-14-00149.1.
Full textChhokar, Rajender Singh, and Rajender Singh Balyan. "Competition and control of weeds in soybean." Weed Science 47, no. 1 (February 1999): 107–11. http://dx.doi.org/10.1017/s004317450009072x.
Full textBuhler, Douglas D., and Jeffery L. Gunsolus. "Effect of Date of Preplant Tillage and Planting on Weed Populations and Mechanical Weed Control in Soybean (Glycine max)." Weed Science 44, no. 2 (June 1996): 373–79. http://dx.doi.org/10.1017/s0043174500094029.
Full textBarnes, Jeff W., and Lawrence R. Oliver. "Preemergence Weed Control in Soybean with Cloransulam." Weed Technology 18, no. 4 (December 2004): 1077–90. http://dx.doi.org/10.1614/wt-03-254r1.
Full textSwanton, Kevin Chandler, Anil Shrestha, and. "Weed seed return as influenced by the critical weed-free period and row spacing of no-till glyphosate-resistant soybean." Canadian Journal of Plant Science 81, no. 4 (October 1, 2001): 877–80. http://dx.doi.org/10.4141/p01-049.
Full textBelfry, Kimberly D., Kristen E. McNaughton, and Peter H. Sikkema. "Weed control in soybean using pyroxasulfone and sulfentrazone." Canadian Journal of Plant Science 95, no. 6 (November 2015): 1199–204. http://dx.doi.org/10.4141/cjps-2015-114.
Full textDissertations / Theses on the topic "Soybean – Weed control – Kansas"
Vongsaroj, Prasan. "Agronomy and weed control for rice-soybean cropping systems." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46596.
Full textPerron, France. "Weed response to weed control, tillage and nutrient source in a corn-soybean rotation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0025/MQ50854.pdf.
Full textRefsell, Dawn E. "Integrated weed management in Kansas winter wheat." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15742.
Full textDepartment of Agronomy
J. Anita Dille
Integrated weed management (IWM) is an ecological approach to weed control that reduces dependence on herbicides through understanding of weed biology and involves using multiple weed control measures including cultural, chemical, mechanical and biological methods. The critical period of weed control is the duration of the crop life cycle in which it must be kept weed-free to prevent yield loss from weed interference. Eight experiments were conducted throughout Kansas between October 2010 and June 2012 to identify this period in winter wheat grown under dryland and irrigated conditions. Impact of henbit and downy brome density on winter wheat yields were evaluated on four farmer’s fields with natural populations and on a research station with overseeded populations. Henbit density up to 156 plants m-2 did not affect winter wheat yield, while downy brome at a density of 40 plants m-2 reduced yield by 33 and 13% in 2011 and 2012, respectively. In the presence of downy brome, winter wheat should be kept weed-free approximately 30 to 45 days after planting to prevent yield loss; otherwise, weeds need to be removed immediately following release from winter dormancy to prevent yield loss due to existing weed populations. Flumioxazin and pyroxasulfone are herbicides registered for use in winter wheat, soybean and corn for control of broadleaf and grass weeds. Flumioxazin and pyroxasulfone were evaluated for plant response to localized herbicide exposure to roots, shoots, or both roots and shoots utilizing a novel technique. Two weed species, ivyleaf morningglory and shattercane, as well as two crops, wheat and soybean, were evaluated for injury after localized exposures. The location and expression of symptoms from the flumioxazin and pyroxasulfone herbicides were determined to be the shoot of seedling plants. The utilization of preemergence herbicides in winter wheat is not a common practice, although application may protect winter wheat from early season yield losses as determined by the critical weed-free period. Kansas wheat growers should evaluate the presence and density of weed species to determine which weed management strategy is most advantageous to preserving winter wheat yield.
Webb, Jared S. "The influence of winter annual weed control on soybean cyst nematode and summer annual weed growth and management /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1324369591&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textSarver, Jason. "INFLUENCE OF VARIOUS PLANT POPULATIONS ON WEED REMOVAL TIMING IN GLYPHOSATE-RESISTANT SOYBEAN." UKnowledge, 2009. http://uknowledge.uky.edu/gradschool_theses/591.
Full textVencill, William K. "Field and laboratory investigations on the efficacy, selectivity, and action of the herbicide clomazone." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/77751.
Full textPh. D.
Hustedde, Nicholas Victor. "Optimum® GAT® Concepts: Herbicide Combinations for Foliar and Residual Weed Control in Soybean and Corn." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/604.
Full textGoel, Pradeep Kumar. "Hyper-spectral remote sensing for weed and nitrogen stress detection." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82882.
Full textA 24-waveband (spectrum range 475 to 910 nm) multi-spectral sensor was used to detect weeds in corn (Zea mays L.) and soybean ( Glycine max (L.) Merr.) in 1999. Analysis of variance (ANOVA), followed by Scheffe's test, were used to determine which wavebands displayed significant differences in aerial spectral data due to weed treatments. It was found that the radiance values were mainly indicative of the contribution of weeds to the total vegetation cover in various plots, rather than indicative of changes in radiance of the crops themselves, or of differences in radiance between the weed populations and the crop species.
In the year 2000, a 72-waveband (spectrum range 407 to 949 nm) hyperspectral sensor was used to detect weeds in corn gown at three nitrogen levels (60, 120 and 250 kg N/ha). The weed treatments were: no control of weeds, control of grasses, control of broadleaved weeds and control of all weeds. Imagery was acquired at the early growth, tassel, and fully-mature stages of corn. Hyper-spectral measurements were also taken with a 512-waveband field spectroradiometer (spectrum range 270 to 1072 nm). Measurements were also carried out on crop physiological and associated parameters. ANOVA and contrast analyses indicated that there were significant (alpha = 0.05) differences in reflectance at certain wavebands, due to weed control strategies and nitrogen application rates. Weed controls were best distinguished at tassel stage. Nitrogen levels were most closely related to reflectance, at 498 nm and 671 nm, in the aerial data set. Differences in other wavebands, whether related to nitrogen or weeds, appeared to be dependent on the growth stage. Better results were obtained from aerial than ground-based spectral data.
Regression models, representing crop biophysical parameters and yield in terms of reflectance, at one or more wavebands, were developed using the maximum r2 criterion. The coefficients of determination (r 2) were generally greater than 0.7 when models were based on spectral data obtained at the tassel stage. Models based on normalized difference vegetation indices (NDVI) were more reliable at estimating the validation data sets than were the reflectance models. The wavebands at 701 nm and 839 nm were the most prevalent in these models.
Decision trees, artificial neural networks (ANNs), and seven other classifiers were used to classify spectral data into the weed and nitrogen treatment categories. Success rates for validation data were lower than 68% (mediocre) when training was done for all treatment categories, but good to excellent (up to 99% success) for classification into levels of one or the other treatment (i.e. weed or nitrogen) and also classification into pairs of levels within one treatment. Not one classifier was determined best for all situations.
The results of the study suggested that spectral data acquired from airborne platforms can provide vital information on weed presence and nitrogen levels in cornfields, which might then be used effectively in the development of PCM systems.
Carruthers, Kerry. "Intercropping of corn with soybean, lupin and forages for weed control and improved silage yield and quality in eastern Canada." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27294.
Full textCarruthers, Kerry. "Intercropping of corn with soybean, lupin and forages for weed control and improved silage yield and quality in eastern Canada." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0001/MQ29669.pdf.
Full textBook chapters on the topic "Soybean – Weed control – Kansas"
Korres, Nicholas E., Krishna N. Reddy, Christopher Rouse, and Andy C. King. ""Section 2.2: Row Crops"Sustainable Weed Control in Soybean." In Weed Control, 288–305. Boca Raton, FL:CRC Press,[2018]"A Science publishers book."|Include bibliographical references and index.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315155913-15.
Full textPadgette, Stephen R., and James C. Graham. "New Weed Control Strategies for Soybeans." In Pest Management in Soybean, 325–31. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_33.
Full textKnake, Ellery L. "Weed Control for Soybean in the Nineties." In Pest Management in Soybean, 360–68. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_38.
Full textMitidieri, Agustin. "Soybean Weed Problems in Argentina and their Control." In Pest Management in Soybean, 272–81. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_27.
Full textYorinori, Jose T., and Dionisio L. P. Gazziero. "The Control of Milk Weed (Euphorbia Heterophylla) In Soybean with a Mycoherbicide." In Pest Management in Soybean, 332–38. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_34.
Full textShaner, Dale L. "Developing an Integrated Weed Control Program to Prevent or Manage Herbicide Resistant Weeds in Soybeans." In Pest Management in Soybean, 339–47. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_35.
Full text"Weed Control." In World Soybean Research Conference II: Abstracts, edited by Frederick T. Corbin, 106–11. CRC Press, 2019. http://dx.doi.org/10.1201/9780429268120-16.
Full textConference papers on the topic "Soybean – Weed control – Kansas"
Shokun, Oleksandr, and Oksana Ishchenko. "WEED CONTROL TECHNOLOGY ON SOYBEAN CROPS IN THE CONDITOIN OF “AGRIFAS” COMPANY LTD BILOPILLIA DISTRICT SUMY REGION." In Scientific Development of New Eastern Europe. Publishing House “Baltija Publishing”, 2019. http://dx.doi.org/10.30525/978-9934-571-89-3_112.
Full textReports on the topic "Soybean – Weed control – Kansas"
Owen, Micheal, Damian Franzenburg, James Lee, Iththiphonh Macvilay, and Brady North. Preemergence and Postemergence Weed Control in Soybean. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1416.
Full textOwen, Michael D., Damian D. Franzenburg, James M. Lee, James F. Lux, and Jacob S. Eeling. Two-Pass Programs for Weed Control in Soybean. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-484.
Full textOwen, Micheal, Damian Franzenburg, James Lee, and Iththiphonh Macvilay. Two-Pass Programs for Weed Control in No-Till Soybean. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1649.
Full textOwen, Micheal, Damian Franzenburg, James Lee, and Jacob Eeling. Preplant and Postemergence Herbicide Programs for Weed Control in No-till Soybean. Ames: Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-2236.
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