Weed Control Problems Associated with Crop Residue Systems

2015 ◽  
pp. 165-172 ◽  
Author(s):  
J. L. Williams ◽  
G. A. Wicks
Keyword(s):  
Weed Control ◽  
Crop Residue ◽  
Control Problems ◽  
Residue Systems

Detection of pitted morningglory (Ipomoea lacunosa) by hyperspectral remote sensing. I. Effects of tillage and cover crop residue

Weed Science ◽  
2004 ◽  
Vol 52 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Clifford H. Koger ◽  
David R. Shaw ◽  
Krishna N. Reddy ◽  
Lori M. Bruce
Keyword(s):  
Cover Crop ◽  
Crop Residue ◽  
Field Experiments ◽  
Leaf Growth ◽  
Plant Size ◽  
Hyperspectral Reflectance ◽  
Discrimination Accuracy ◽  
Reflectance Measurement ◽  
Pitted Morningglory ◽  
Residue Systems

Field experiments were conducted to evaluate the potential of hyperspectral reflectance data collected with a hand-held spectroradiometer to discriminate soybean intermixed with pitted morningglory and weed-free soybean in conventional till and no-till plots containing rye, hairy vetch, or no cover crop residue. Pitted morningglory was in the cotyledon to six-leaf growth stage. Seven 50-nm spectral bands (one ultraviolet, two visible, four near-infrared) derived from each hyperspectral reflectance measurement were used as discrimination variables. Pitted morningglory plant size had more influence on discriminant capabilities than tillage or cover crop residue systems. Across all tillage and residue systems, discrimination accuracy was 71 to 95%, depending on the size of pitted morningglory plants at the time of data acquisition. The versatility of the seven 50-nm bands was tested by using a discriminant model developed for one experiment location to test discriminant capabilities for the other experiment, with discrimination accuracy across all tillage and residue systems of 55 to 73%, depending on pitted morningglory plant size.

Cover crop residue management for optimizing weed control

2008 ◽  
Vol 318 (1-2) ◽  
pp. 169-184 ◽  
Author(s):  
H. Marjolein Kruidhof ◽  
Lammert Bastiaans ◽  
Martin J. Kropff
Keyword(s):  
Weed Control ◽  
Cover Crop ◽  
Crop Residue ◽  
Residue Management ◽  
Crop Residue Management

Effects of Crop Residue Management and Tillage on Weed Control and Sugarcane Production

2007 ◽  
Vol 21 (3) ◽  
pp. 606-611 ◽  
Author(s):  
Wilson E. Judice ◽  
James L. Griffin ◽  
Luke M. Etheredge ◽  
Curtis A. Jones
Keyword(s):  
Weed Control ◽  
Crop Residue ◽  
Residue Management ◽  
Crop Residue Management ◽  
Sugarcane Production

Herbicide and Rye Cover Crop Residue Integration Affect Weed Control and Yield in Strip-Tillage Peanut

2015 ◽  
pp. 150330154931003
Author(s):  
Jatinder S. Aulakh ◽  
Monika Saini ◽  
Andrew Price ◽  
Wilson H. Faircloth ◽  
Edzard van Santen ◽  
...  
Keyword(s):  
Weed Control ◽  
Cover Crop ◽  
Crop Residue ◽  
Strip Tillage

scholarly journals Maximizing Herbicide Efficiency with Mixtures and Expert Systems

1991 ◽  
Vol 5 (4) ◽  
pp. 894-897 ◽  
Author(s):  
Jerry M. Green
Keyword(s):  
Expert Systems ◽  
Weed Control ◽  
Dose Response ◽  
Environmental Conditions ◽  
Control Problems ◽  
Economic Thresholds ◽  
Product Choices ◽  
Spectrum Density ◽  
Herbicide Mixtures ◽  
Objective System

A practical and objective system is needed to determine the lowest rates of the most efficacious herbicides to meet each producer's specific weed control problems. Determining which method of weed control to utilize is difficult today with increasing product choices, the growing use and complexity of herbicide mixtures, regulatory pressures to reduce rates, and the closer integration of weed control with other crop decisions. Expert computer systems could improve current practices and use herbicide mixtures as a tool to increase herbicide efficiency. Such systems would account for herbicide dose and mixture responses; select most economical herbicides; optimize adjuvants; recommend control at economic thresholds; and vary rates according to weed spectrum, density, and local environmental conditions. An example using chlorimuron and thifensulfuron illustrates how these systems could use quantitative dose response and mixture information.

Effect of Crop Residue on Seedling Emergence and Growth of Selected Weed Species in a Sprinkler-Irrigated Zero-Till Dry-Seeded Rice System

Weed Science ◽  
2013 ◽  
Vol 61 (3) ◽  
pp. 403-409 ◽  
Author(s):  
Bhagirath S. Chauhan ◽  
Seth B. Abugho
Keyword(s):  
Field Study ◽  
Weed Control ◽  
Weed Management ◽  
Crop Residue ◽  
Crop Residues ◽  
Seedling Emergence ◽  
Management Strategies ◽  
Weed Species ◽  
Weed Biomass ◽  
Residue Retention

Crop residues acting as mulches can influence weed seedling emergence and weed biomass. A field study was conducted to evaluate the effect of rice residue amounts (0, 3, and 6 t ha−1) on seedling emergence of eight weed species in zero-till dry-seeded rice. The highest seedling emergence of spiny amaranth, southern crabgrass, crowfootgrass, junglerice, eclipta, goosegrass, and Chinese sprangletop was observed in the absence of residue. Seedling emergence of these weeds declined with increasing residue amounts; however, the greatest and most substantial reductions in emergence occurred with 6 t ha−1of residue. The presence of residue also resulted in less weed biomass than with the no-residue treatment. The emergence and biomass of threelobe morningglory seedlings, however, were not influenced by residue amounts. The use of residue also increased the time taken to reach 50% of maximum emergence for some species, for example, spiny amaranth and Chinese sprangletop. The results of our study suggest that the use of residue at high rates can help suppress seedling emergence and growth of many weeds. However, there is a need to integrate other weed management strategies with residue retention to achieve season-long weed control.

Cover crop residue components and their effect on summer annual weed suppression in corn and soybean

Weed Science ◽  
2020 ◽  
Vol 68 (3) ◽  
pp. 301-310
Author(s):  
Kara B. Pittman ◽  
Jacob N. Barney ◽  
Michael L. Flessner
Keyword(s):  
Weed Control ◽  
Crop Yield ◽  
Cover Crop ◽  
Crop Residue ◽  
C:N Ratio ◽  
Amaranthus Retroflexus ◽  
Weed Suppression ◽  
Total Carbon ◽  
Cash Crop ◽  
Crop Biomass

AbstractCover crop residue can act as a mulch that will suppress weeds, but as the residue degrades, weed suppression diminishes. Biomass of cover crop residue is positively correlated to weed suppression, but little research is available regarding the composition of cover crop residue and its effect on weed suppression. Field experiments were conducted to determine the impact of cover crop residue properties (i.e., total carbon, total nitrogen, lignin, cellulose, and hemicellulose) on summer annual weed suppression and cash crop yield. Cover crop monocultures and mixtures were planted in the fall and designed to provide a range of biomass and residue properties. Cover crops were followed by corn (Zea mays L.) or soybean [Glycine max (L.) Merr.]. At termination, cover crop biomass and residue components were determined. Biomass ranged from 3,640 to 8,750 kg ha−1, and the carbon-to-nitrogen (C:N) ratio ranged from 12:1 to 36:1. As both cover crop biomass and C:N ratio increased, weed suppression and duration of suppression increased. For example, a C:N ratio of 9:1 is needed to suppress redroot pigweed (Amaranthus retroflexus L.) 50% at 4 wk after termination (WAT), and that increases to 16:1 and 20:1 to have 50% suppression at 6 and 8 WAT, respectively. Similarly, with biomass, 2,800 kg ha−1 is needed for 50% A. retroflexus suppression at 4 WAT, which increases to 5,280 kg ha−1 and 6,610 kg ha−1 needed for 50% suppression at 6 and 8 WAT, respectively. In general, similar trends were observed for pitted morningglory (Ipomoea lacunosa L.) and large crabgrass [Digitaria sanguinalis (L.) Scop.]. Corn and soybean yield increased as both cover crop biomass and C:N ratio increased where no weed control measures were implemented beyond cover crop. The same trend was observed with cash crop yield in the weed-free subblocks, with one exception. This research indicates that cover crop residue composition is important for weed control in addition to biomass.

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