Critical period for weed control: the concept and data analysis

By Stevan Knezevic, S. Evans, E. Blankenship, R. V. van Acker, J. Lindquist. Weed science, 2002

503 citations recorded by the source corpus.

Subfields: Plant Science, Pollution

View Paper: https://www.semanticscholar.org/paper/e3f0aa8ec13b9eb054a055ae0394fd9a02433657

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Plant Science

1. B. Bukun
2. Martin M. Williams
3. Stevan Knezevic
4. Christian Ritz
5. Jens Carl Streibig
6. J. Norsworthy
7. E. Page
8. Marcos J. Oliveira

In Pollution

1. B. Bukun
2. Martin M. Williams
3. Christian Ritz
4. Stevan Knezevic
5. Jens Carl Streibig
6. J. Norsworthy
7. Kenneth L. Smith
8. P. Tranel

Citations in the corpus

• Comparison of the critical period for weed control in wide- and narrow-row corn (2004, methodology): “Nonlinear regression analysis was used to determine when in the season corn must be kept free of weeds to prevent unacceptable yield loss (Knezevic et al. 2002).”
• Planting date influences critical period of weed control in sweet corn (2006, methodology): “Determining the appropriate timing of weed control tactics is valuable in developing integrated weed managements systems (Knezevic et al. 2002; Rajcan and Swanton 2001) and has been the subject of extensive research in agronomic crops (Zimdahl 2004).”
• Nitrogen application influences the critical period for weed control in corn (2003, methodology): “Knowledge of the CPWC and the factors that affect it is essential for making decisions on the appropriate timing of weed control and in achieving the efficient use of herbicides (Knezevic et al. 2002; Mulugeta and Boerboom 2000; Van Acker et al. 1993).”
• Why Early Season Weed Control Is Important in Maize (2012, methodology): “Following the onset of the CPWC, the linear decline phase of the logistic response curve was associated with concurrent decreases in the mean and SD of PDM and thus, little change in the CVPDM.”
• Utilizing R Software Package for Dose-Response Studies: The Concept and Data Analysis (2007, methodology): “Many previously published procedures for data analysis (Knezevic et al. 2002; Seefeldt 1995) might not have been very useful to colleagues in parts of the world where commercial statistical packages are not readily available.”
• Cover Crop for Early Season Weed Suppression in Crops: Systematic Review and Meta‐Analysis (2018, unknown): “Agronomy Journa l • Volume 110 , I s sue 6 • 2018 2211 Weeds occurring during early crop growth need to be removed because these are known to be most competitive with crops (Knezevic et al., 2002; Norsworthy and Oliviera, 2004; Tursun et al., 2016; Osipitan et al., 2016).”
• Critical periods for weed control in cotton in Turkey (2004, methodology): “Actual yields and relative yields were subjected to an overall analysis of variance using PROC MIXED in the SAS statistical package (SAS Institute, 1999; Knezevic et al., 2002; Evans et al., 2003).”
• Weed suppression and crop production in annual intercrops (2005, background): “However, most crop lodging would be expected to occur later in the season and beyond the critical time of weed removal for many crops (Knezevic et al. 2002).”
• Soybean row spacing and weed emergence time influence weed competitiveness and competitive indices (2006, background): “However, in most cases producers are faced with a multi-species complex of weeds, different relative emergence times, variable weed densities, and site-specific environmental conditions (Evans et al. 2003; Knezevic et al. 1997, 2002, 2003).”