Ridge-furrow plastic mulching and dense planting with reduced nitrogen improve soil hydrothermal conditions, rainfed soybean yield and economic return in a semi-humid drought-prone region of China

2022 ◽  
Vol 217 ◽  
pp. 105291
Author(s):  
Zhenqi Liao ◽  
Kaibao Zhang ◽  
Junliang Fan ◽  
Zhijun Li ◽  
Fucang Zhang ◽  
...  
Crops & Soils ◽  
2014 ◽  
Vol 47 (3) ◽  
pp. 43-48
Author(s):  
Eric B. Riley ◽  
Raymond E. Massey ◽  
Kevin W. Bradley

Weed Science ◽  
1997 ◽  
Vol 45 (1) ◽  
pp. 158-165 ◽  
Author(s):  
Douglas D. Buhler ◽  
Robert P. King ◽  
Scott M. Swinton ◽  
Jeffery L. Gunsolus ◽  
Frank Forcella

A bioeconomic model was tested as a decision aid for weed control in soybean at Rosemount, MN, from 1991 to 1994. The model makes recommendations for preplant incorporated and preemergence control tactics based on the weed seed content of the soil and postemergence decisions based on weed seedling densities. Weed control, soybean yield, herbicide use, and economic return with model-generated treatments were compared to standard herbicide and mechanical control systems. Effects of these treatments on weed populations and corn yield the following year were also determined. In most cases, the model-generated treatments controlled weeds as well as a standard herbicide treatment. Averaged over the 3 yr, the quantity of herbicide active ingredient applied was decreased by 47% with the seedbank model and 93% with the seedling model compared with a standard soil-applied herbicide treatment. However, the frequency of herbicide application was not reduced. Soybean yields reflected differences in weed control and crop injury. Net economic return to weed control was increased 50% of the time using model-recommended treatments compared with a standard herbicide treatment. Weed control treatments the previous year affected weed density in the following corn crop but had little effect on weed control or corn yield. The bioeconomic model was responsive to differing weed populations, maintained weed control and soybean yield and often increased economic returns under the weed species and densities in this research.


ISRN Agronomy ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
Amy E. Hoffner ◽  
David L. Jordan ◽  
Alan C. York ◽  
E. James Dunphy ◽  
Wesley J. Everman

Palmer amaranth (Amaranthus palmeri S. Wats) has become one of the most prominent and difficult weeds to control in soybean (Glycine max (L.) Merr.) in North Carolina. A survey was conducted in North Carolina during fall 2010 to estimate the magnitude of this problem. Palmer amaranth was present in 39% of 2,512 fields representing 0.24% of soybean ha in North Carolina. In recent years, growers have reduced soybean seeding rates in an effort to decrease production costs associated with technology fees. However, given the increase in prevalence of Palmer amaranth and the difficultly in controlling this weed due to herbicide resistance, growers may need to reconsider reductions in seeding rates. Therefore, research was conducted during 2010 and 2011 to determine if Palmer amaranth control, soybean yield, and economic return were affected by soybean plant population, preemergence (PRE) and postemergence (POST) herbicides, and herbicide resistant traits (glufosinate-resistant and glyphosate-resistant cultivars). Applying PRE or POST herbicides and increasing soybean population increased Palmer amaranth control, soybean yield, and economic return when compared with POST herbicides only or when lower soybean populations were present. Efficacy of glufosinate and glyphosate did not vary in most instances, most likely because these herbicides were applied timely, and the frequency of glyphosate resistance did not exceed 10% in these fields.


Weed Science ◽  
1996 ◽  
Vol 44 (4) ◽  
pp. 915-923 ◽  
Author(s):  
Douglas D. Buhler ◽  
Robert P. King ◽  
Scott M. Swinton ◽  
Jeffery L. Gunsolus ◽  
Frank Forcella

A bioeconomic weed management model was tested as a decision aid for weed control in corn at Rosemount, MN, from 1991 to 1994. The model makes recommendations for preemergence control tactics based on the weed seed content of the soil and postemergence decisions based on weed seedling densities. Weed control, corn yield, herbicide active ingredient applied, and economic return with model-generated treatments were compared to standard herbicide and mechanical control treatments. Effects of these treatments on weed populations and soybean yield the following year were also determined. In most cases, the model-generated treatments controlled weeds as well as the standard herbicide treatment. The quantity of herbicide active ingredient applied decreased 27% with the seed bank model and 68% with the seedling model relative to the standard herbicide treatment. However, the frequency of herbicide application was not reduced. In 1 yr, seed bank model treatments did not control weeds as well as the standard herbicide or seedling model treatments. Corn yields reflected differences in weed control. Net economic return to weed control was not increased by using model-generated control recommendations. Weed control treatments the previous year affected weed density in the following soybean crop. In 2 of 3 yr, these differences did not after weed control or soybean yield. Although tactics differed, the bioeconomic model generally resulted in weed control and corn yield similar to the standard herbicide. The model was responsive to differing weed populations, but did not greatly after economic returns under the weed species and densities in this research.


1995 ◽  
Vol 75 (1) ◽  
pp. 293-299 ◽  
Author(s):  
Allan S. Hamill ◽  
Jianhua Zhang

Studies on quackgrass control were conducted using a factorial combination of glyphosate or SC-0224, each at 0.28, 0.56 and 0.84 kg ha−1, and ammonium sulphate at 0 and 2.5 kg ha−1 in corn and soybean plots on a severe infestation in southwestern Ontario during 5 yr. The two herbicides at a given rate provided similar degrees of quackgrass control. With the addition of ammonium sulphate, the effective rate of both herbicides was reduced from the recommended rate of 0.9 kg ha−1 to 0.56 kg ha−1, which results in a higher economic return. Although a lower rate, 0.28 kg ha−1, also provided satisfactory initial control of quackgrass, there was a tendency to increasing quackgrass coverage with time despite the repeated application of herbicides over years. After 5 yr of treatment at a consistently low rate (0.28 kg ha−1), quackgrass coverage approached the original level in the soybean field. The increase in quackgrass coverage caused a corresponding reduction in soybean yield. The results suggest that glyphosate or SC-0224 at about 0.56 kg ha−1 is effective when applied in conjunction with ammonium sulphate. Lower rates may be acceptable if used with a high rate at properly chosen intervals. Key words: Quackgrass control, glyphosate, SC-0224, ammonium sulphate, soybean, corn


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