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Agricultural Research Service Weed Science Research: Past, Present, and Future
- Stephen L. Young, James V. Anderson, Scott R. Baerson, Joanna Bajsa-Hirschel, Dana M. Blumenthal, Chad S. Boyd, Clyde D. Boyette, Eric B. Brennan, Charles L. Cantrell, Wun S. Chao, Joanne C. Chee-Sanford, Charlie D. Clements, F. Allen Dray, Stephen O. Duke, Kayla M. Eason, Reginald S. Fletcher, Michael R. Fulcher, John F. Gaskin, Brenda J. Grewell, Erik P. Hamerlynck, Robert E. Hoagland, David P. Horvath, Eugene P. Law, John D. Madsen, Daniel E. Martin, Clint Mattox, Steven B. Mirsky, William T. Molin, Patrick J. Moran, Rebecca C. Mueller, Vijay K. Nandula, Beth A. Newingham, Zhiqiang Pan, Lauren M. Porensky, Paul D. Pratt, Andrew J. Price, Brian G. Rector, Krishna N. Reddy, Roger L. Sheley, Lincoln Smith, Melissa C. Smith, Keirith A. Snyder, Matthew A. Tancos, Natalie M. West, Gregory S. Wheeler, Martin M. Williams, Julie Wolf, Carissa L. Wonkka, Alice A. Wright, Jing Xi, Lew H. Ziska
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- Journal:
- Weed Science / Volume 71 / Issue 4 / July 2023
- Published online by Cambridge University Press:
- 16 August 2023, pp. 312-327
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The U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS) has been a leader in weed science research covering topics ranging from the development and use of integrated weed management (IWM) tactics to basic mechanistic studies, including biotic resistance of desirable plant communities and herbicide resistance. ARS weed scientists have worked in agricultural and natural ecosystems, including agronomic and horticultural crops, pastures, forests, wild lands, aquatic habitats, wetlands, and riparian areas. Through strong partnerships with academia, state agencies, private industry, and numerous federal programs, ARS weed scientists have made contributions to discoveries in the newest fields of robotics and genetics, as well as the traditional and fundamental subjects of weed–crop competition and physiology and integration of weed control tactics and practices. Weed science at ARS is often overshadowed by other research topics; thus, few are aware of the long history of ARS weed science and its important contributions. This review is the result of a symposium held at the Weed Science Society of America’s 62nd Annual Meeting in 2022 that included 10 separate presentations in a virtual Weed Science Webinar Series. The overarching themes of management tactics (IWM, biological control, and automation), basic mechanisms (competition, invasive plant genetics, and herbicide resistance), and ecosystem impacts (invasive plant spread, climate change, conservation, and restoration) represent core ARS weed science research that is dynamic and efficacious and has been a significant component of the agency’s national and international efforts. This review highlights current studies and future directions that exemplify the science and collaborative relationships both within and outside ARS. Given the constraints of weeds and invasive plants on all aspects of food, feed, and fiber systems, there is an acknowledged need to face new challenges, including agriculture and natural resources sustainability, economic resilience and reliability, and societal health and well-being.
List of contributors
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- By H. Elliott Albers, Reut Avinun, Karen L. Bales, Jorge A. Barraza, Michael T. Bowen, Sunny K. Boyd, Heather K. Caldwell, Elena Choleris, Amy E. Clipperton-Allen, Bruce S. Cushing, Monica B. Dhakar, Riccardo Dore, Richard P. Ebstein, Craig F. Ferris, Sara M. Freeman, James L. Goodson, Joshua J. Green, Haruhiro Higashida, Eric Hollander, Salomon Israel, Martin Kavaliers, Keith M. Kendrick, Ariel Knafo, Yoav Litvin, Olga Lopatina, David Mankuta, Iain S. McGregor, Richard H. Melloni, Inga D. Neumann, Jerome H. Pagani, Cort A. Pedersen, Donald W. Pfaff, Anna Phan, Benjamin J. Ragen, Amina Sarwat, Idan Shalev, Erica L. Stevenson, Bonnie Taylor, Richmond R. Thompson, Florina Uzefovsky, Erwin H. van den Burg, James C. Walton, Scott R. Wersinger, Nurit Yirmiya, Larry J. Young, W. Scott Young, Paul J. Zak
- Edited by Elena Choleris, University of Guelph, Ontario, Donald W. Pfaff, Rockefeller University, New York, Martin Kavaliers, University of Western Ontario
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- Book:
- Oxytocin, Vasopressin and Related Peptides in the Regulation of Behavior
- Published online:
- 05 April 2013
- Print publication:
- 11 April 2013, pp xi-xiv
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- By Luis G. Acevedo, Schahram Akbarian, Ioanna Andreou, Krishnarao Appasani, Raghu K. Appasani, Julia Arand, David M. Ashley, Alexander R. Ball, Yehudit Bergman, Marina Bibikova, Angela Bithell, Francesca Bonafè, Eric E. Bouhassira, Victoria L. Boyd, Noel J. Buckley, Lars Olov Bygren, Claudio M. Caldarera, Gemma Carvill, James W. F. Catto, Sarah Derks, Ewa Dudziec, Jeffrey D. Falk, Jian-Bing Fan, Joseph M. Fernandez, David E. Fisher, Emanuela Fiumana, Tamara B. Franklin, Fei Gao, Arkadiusz Gertych, Emanuele Giordano, David Goldman, Markus Grammel, Carlo Guarnieri, Kevin L. Gunderson, Victoria (Fatemeh) G. Haghighi, Xu Han, Yong-Mahn Han, Howard C. Hang, Aditi Hazra, Laura B.K. Herzing, Norbert Hochstein, Robin Holliday, Dorothee Honsel, Mary A. Jelinek, Guanyu Ji, Yan Jiang, Atsushi Kaneda, Richard A. Katz, Hyemin Kim, Richard Kroon, Tapas K. Kundu, Benoit Labonté, Daeyoup Lee, Konstantin Lepikhov, Andrea Linnemann-Florl, Dirk Loeffert, Dylan Maixner, Isabelle M. Mansuy, Andreas Missel, D. V. Mohankrishna, Joana Carvalho Moreira de Mello, Paolo G. Morselli, Rituparna Mukhopadhyay, Claudio Muscari, Takashi Nagano, Frank Narz, Shuji Ogino, Carlo M. Oranges, Shari Orlanski, Alice Pasini, Ralf Peist, Lygia V. Pereira, Andrey Poleshko, Claire Rougeulle, Thea Rütjes, Ana Sanz, Benjamin G. Schroeder, Gerald Schock, Kornel Schuebel, B. Ruthrotha Selvi, Hogyu Seo, Natalia Shalginskikh, Andrew Sharp, Jun S. Song, Lennart Suckau, Azim Surani, Jian Tajbakhsh, Gustavo Turecki, Céline Vallot, Manon van Engeland, Jörn Walter, Nicholas C. Wong, Mark Wossidlo, Honglong Wu, Yurong Xin, Zhixiang Yan, Yu-Ying Yang, Mingzhi Ye, Kyoko Yokomori, Sephorah Zaman, Weihua Zeng, Gerald Zon
- Edited by Krishnarao Appasani
- Foreword by Azim Surani, University of Cambridge
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- Book:
- Epigenomics
- Published online:
- 05 August 2012
- Print publication:
- 02 August 2012, pp x-xxiv
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- By Saleh H. Alwasel, Susan P. Bagby, David J. P Barker, Richard Boyd, Robert Boyd, Graham Burdge, Graham J Burton, Anthony M Carter, Irene Cetin, Zoe Cole, Cyrus Cooper, Hilary Critchley, Elaine Dennison, Susie Earl, Johan G Eriksson, Caroline H. D Fall, Anne C. Ferguson-Smith, Tom P. Fleming, Alison J. Forhead, Abigail L. Fowden, Dino Giussani, Laura Goodfellow, Nicholas Harvey, Christopher Holroyd, Joan Hunt, Alan A. Jackson, Thomas Jansson, Eric Jauniaux, Rosalind John, Eero Kajantie, Michelle Lampl, Karen Lillycrop, Charlie Loke, Samantha Louey, Per Magnus, Ashley Moffett, Lorna G. Moore, Terry Morgan, Clive Osmond, Perrie F. O'Tierney, Robert Pijnenborg, Lucilla Poston, Theresa L. Powell, Elizabeth J. Radford, Tessa J. Roseboom, Amanda Sferruzzi-Perri, Colin P. Sibley, Gordon C. S. Smith, Emanuela Taricco, Kent Thornburg, Benjamin Tycko, Owen R. Vaughan, Lisbeth Vercruysse
- Edited by Graham J. Burton, David J. P. Barker, Ashley Moffett, Kent Thornburg
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- Book:
- The Placenta and Human Developmental Programming
- Published online:
- 04 February 2011
- Print publication:
- 16 December 2010, pp vii-x
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3 - PIMS and COMPUSTAT data: different horses for the same course?
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- By D. Eric Boyd, Assistant Professor of Marketing James Madison University, Paul W. Farris, Professor of Business University of Virginia's Darden Graduate School, Lutz Hildebrandt, Professor of Marketing and Director of the Institute of Marketing Humboldt University of Berlin; President European Marketing Academy
- Edited by Paul W. Farris, University of Virginia, Michael J. Moore, University of Virginia
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- Book:
- The Profit Impact of Marketing Strategy Project
- Published online:
- 22 September 2009
- Print publication:
- 04 November 2004, pp 41-72
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Summary
For researchers investigating questions related to marketing strategy and financial performance, there are few databases that are, in any way, comparable to PIMS. However, COMPUSTAT is one database that researchers have used frequently to address such questions. Other databases that provide limited additional points of comparison are that of the Inland Revenue Service (IRS) and the Federal Trade Commission (FTC) Line of Business data. In this chapter we will provide some comparisons between PIMS and COMPUSTAT data.
From the beginning, researchers were impressed by the “overwhelming superiority of PIMS data to other sources in quantity, number of measured variables, timeliness, [and the] conscientious attempt to minimize potential sources of input error” (Anderson and Paine 1978). Of course, the “timeliness” of the PIMS data is no longer a strong point and, since 1990 or so, publications of empirical findings based on the PIMS data have appeared far less frequently in major marketing and strategy journals – published articles have declined along with the size and currency of the data.
On the other hand, publications based on COMPUSTAT data are appearing with increasing frequency in marketing journals. Further, many of the issues addressed by researchers using COMPUSTAT are similar to those addressed with analyses of the PIMS data. For example, both COMPUSTAT and PIMS data have been used to study: relationships of market share, firm size, and power to profits; determinants of marketing cost ratios and media budgets; and returns from R&D and new products activities, and patents.