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27 October 2021 Influence of integrated agronomic and weed management practices on soybean canopy development and yield
Nikola Arsenijevic, Ryan DeWerff, Shawn Conley, Matthew Ruark, Rodrigo Werle
Author Affiliations +
Abstract

The role of weed suppression by the cultivated crop is often overlooked in annual row cropping systems. Agronomic practices such as planting time, row spacing, tillage and herbicide selection may influence the time of crop canopy closure. The objective of this research was to evaluate the influence of the aforementioned agronomic practices and their interaction with the adoption of an effective preemergence (PRE) soil residual herbicide program on soybean canopy closure and yield. A field experiment was conducted in 2019 and 2020 in Arlington, WI, as a 2×2×2×2 factorial in a randomized complete block design, including early (late April) and standard (late May) planting time, narrow (38 cm) and wide (76 cm) row spacing, conventional tillage and no-till, and soil-applied PRE herbicide (yes and no; flumioxazin 150 g ai ha–1 + metribuzin 449 g ai ha–1 + pyroxasulfone 190 g ai ha–1). All plots were maintained weed-free throughout the growing season. In both years, early planted soybeans reached 90% green canopy cover (T90) before (7 to 9 d difference) and yielded more (188 to 902 kg ha–1 difference) than the standard planted soybeans. Narrow-row soybeans reached T90 earlier than wide-row soybeans (4 to 7 d difference), but yield was similar between row spacing treatments. Conventional tillage resulted in a higher yield compared to a no-till system (377 kg ha–1 difference). The PRE herbicide slightly delayed T90 (4 d or less) but had no impact on yield. All practices investigated herein influenced the time of soybean canopy closure but only planting time and tillage impacted yield. Planting soybeans earlier and reducing their row spacing expedites the time to canopy closure. The potential delay in canopy development and yield loss if soybeans are allowed to compete with weeds early in the season would likely outweigh the slight delay in canopy development by an effective PRE herbicide.

Nomenclature: flumioxazin; metribuzin; pyroxasulfone; soybean; Glycine max L. Merr

Introduction

Introduction of glyphosate-resistant (GR) soybean in 1996 drastically changed weed control practices in U.S. soybean production, allowing growers more flexibility for postemergence (POST) weed control with the use of the systemic and nonselective broad-spectrum herbicide glyphosate. This change resulted in reduced labor and time requirements, herbicide costs, reliance on tillage, and other means of mechanical and cultural weed control (Bradley et al. 2004; Johnson et al. 2000; Reddy and Whiting 2000). The change in herbicide use patterns from preemergence (PRE) followed by POST applications to POST-only applications(s) of glyphosate (Duke 2015; Givens et al. 2009; Powles 2008) contributed to selection pressure for widespread glyphosate resistance evolution. From 1990 to 2021, 17 different weed species evolved resistance to glyphosate in the United States alone (Heap 2021). Restoration of diverse and integrated weed management (IWM) strategies based on the practices of crop rotation, competitive crop cultivars, cover crops, and prudent use of tillage and herbicides are needed to confront herbicide resistance.

Focusing on reduction of weed-crop interference and weed fecundity while maximizing crop yield potential, a holistic and sustainable IWM is achieved through the adoption of numerous weed control measures including cultural, genetic, mechanical, biological, and chemical strategies applied in a systematic manner (Blackshaw et al. 2008; Butts et al. 2016; Liebman et al. 2001; Regnier and Janke 1990; Shaw 1982; Swanton and Murphy 1996; Swanton and Weise 1991; Walker and Buchanan 1982). Agronomic strategies aimed at reducing the time to crop canopy closure represent the foundation of cultural weed control (Jha and Norsworthy 2009). Numerous factors may influence crop canopy development including soil management strategy (i.e., tillage, no-till), planting date, row spacing, seeding rate, soil fertility, herbicide program, and environmental conditions (Arsenijevic 2021; Bradley 2006; Mallarino 1999; Nice et al. 2001; Renner and Mickelson 1997; Yusuf 1999; Zhang et al. 2010). Earlier canopy closure can limit the amount of light reaching the soil surface, which impacts weed seed germination, establishment, and growth (Norsworthy and Oliveira 2007; Sanyal et al. 2008). Soybean is generally a poor competitor during earlier stages of development; however, early planting and narrow row spacing can improve its competitiveness (Klingaman and Oliver 1994; Legere and Schreiber 1989). For instance, Butts et al. (2016) reported that narrow row width (≤38 cm) reduced end of season Amaranthus spp. growth and fecundity. A highly competitive soybean crop may translate into a reduced need for in-season herbicide applications and higher yield (Norsworthy and Shipe 2006).

In response to widespread herbicide resistance and a shortage of effective POST herbicide options, the use of effective PRE herbicide programs has increased in frequency for chemical weed control in soybeans. For instance, the soybean planted area treated with the PRE herbicides flumioxazin (a protoporphyrinogen oxidase inhibitor; Group 14) and metribuzin (photosystem II inhibitor; Group 5) increased by 3% and 15%, respectively, from 2006 to 2020, and pyroxasulfone (very-long-chain fatty acid [VLCFA]; Group 15) increased by 13% from 2012 to 2020 (USDA-NASS 2021). Early-season soybean injury leading to slower canopy closure and potential for yield reduction is a concern of soybean growers adopting effective PRE herbicides with multiple sites of action (Moomaw and Martin 1978; Niekamp et al. 2000; Nelson and Renner 2001; Osborne et al. 1995; Poston et al. 2008; Sakaki et al. 1991). Research investigating the interaction between cultural agronomic practices and early-season chemical weed control (i.e., PRE herbicides) on crop canopy development and yield is lacking. Thus, the objective of this field experiment was to evaluate the impact of integrated agronomic and weed management practices (i.e., planting time, row spacing, tillage practice, and PRE herbicide application) on soybean canopy development and yield. We hypothesized that the aforementioned practices would influence the time to soybean canopy closure and yield.

Materials and Methods

A field experiment was conducted in 2019 and 2020 at the University of Wisconsin-Madison Arlington Agricultural Research Station near Arlington, WI (43.3097°N, 89.3458°W). The experiment was conducted as a four-way-factorial established in a randomized complete block design (RCBD) with four replications. Experimental units were 3 m wide by 12.2 m long. Treatments consisted of two soybean planting times (early planting [late April] and standard planting [late May]), two row -spacings (38 cm [narrow-row spacing] and 76 cm [wide-row spacing]), two tillage systems (no-till and conventional tillage), and PRE herbicide application (yes PRE and no PRE). The PRE herbicide used (flumioxazin 150 g ai ha–1, metribuzin 449 g ai ha–1, and pyroxasulfone 190 g ai ha–1; Fierce® MTZ, Valent U.S.A. LLC, Walnut Creek, CA) has a broad weed control spectrum and is known to cause early-season soybean injury under adverse environmental conditions (i.e., cool and wet soils; Arsenijevic et al. 2021; Taylor-Lowell et al. 2001).

The soybean variety AG24X7 (seed treatment; Acceleron® Seed Applied Solutions Elite with NemaStrike Technology; Asgrow Seed Co. LLC, Creve Coeur, MO) was planted in both years at 360,000 seeds ha–1, at a depth of 3.8 cm. In 2019, soybean was planted on April 25 (early planting) and May 23 (standard planting). The soil type was silt loam (26% clay, 59% silt, and 16% sand), pH 6.9, and 4.8% organic matter (OM). In 2020, soybean was planted on April 21 (early planting) and May 22 (standard planting). The soil type was loam (25% clay, 48% silt, and 28% sand), pH 5.9, and 3.5% OM. No-till corn was the previous crop in both experimental years; the 2019 field was under no-till continuous corn (>5 yr) whereas the 2020 field was under no-till corn-soybean rotation (>5 yr). PRE herbicides were applied the day of each planting to designated plots using a CO2-pressurized backpack sprayer equipped with Turbo TeeJet® TTI11015 air induction nozzles (Spraying Systems Co., Wheaton, IL) calibrated to deliver 94 L ha–1. Because the objective of this experiment was to evaluate crop canopy closure and grain yield but not weed suppression, experimental units were kept weed-free throughout the study by hand-weeding and/or glyphosate application when weeds were detected (glyphosate 863 g ae ha–1, RoundUp®PowerMax; Bayer AG, Leverkusen, Germany; + ammonium-sulfate 1,430 g ha–1). Monthly precipitation, average air and soil temperature (10 cm depth) for each year, and historical weather data are presented in Table 1.

Table 1.

Monthly average air and soil temperature (10 cm depth) and cumulative precipitation in Arlington, WI.a,b

img-z2-7_73.gif

Soybean Canopy Development

To evaluate soybean canopy development, three photos per experimental unit of the six rows (narrow-row spacing) and four rows (wide-row spacing) were taken per week. A wooden L-shape pole (2.1 m height) was constructed, and a GoPro Hero 8 Black camera (GoPro Inc., San Mateo, CA) was mounted at the top and paired with an iPhone 6s cellphone (Apple Inc., Cupertino, CA) through the GoPro app (7.2.1 version), which provided view finding capabilities for the camera. Photos were processed using MATLAB (MathWorks®, Natick, MA) via Canopeo add-on (Canopeo Software, Oklahoma State University, Division of Agricultural Sciences and Natural Resources Soil Physics program, Stillwater, OK;  https://canopeoapp.com), which allowed for estimation of fractional green canopy cover within each image (Arsenijevic 2021; Liang et al. 2012; Paruelo et al. 2000; Patrignani and Ochsner 2015). Soybean canopy development assessments started 7 d after each planting timing and concluded when >95% green canopy cover was attained in all plots throughout the study.

Soybean Yield

Soybean grain weight (kilograms per plot) and moisture (%) were collected at crop physiological maturity (October 26, 2019, and October 15, 2020) with an Almaco plot combine (Almaco, Nevada, IA) by harvesting the two center rows of wide row-spacing treatments, and four center rows of narrow row-spacing treatments. All treatments within a year were harvested at the same time. Yield results were standardized to 13% moisture and converted to kilograms per hectare for comparisons.

Statistical Analyses

All analyses were completed in R statistical software version 4.0.1 (R Foundation for Statistical Computing, Vienna, Austria).

Soybean Canopy Closure Modeling

A three-parameter Weibull 2 model was fit to average soybean green canopy cover (%; response variable) regressed on the day of the year (Julian day) when photos were taken (explanatory variable) for each experimental unit within each treatment using the drc package in R:

e01_73.gif

where y is average soybean green canopy cover (%), c is the lower limit (fixed at 0), d is the upper limit (fixed at 100), b is the slope, x is day of year, and e is the inflection point (Ritz and Strebig 2016). The day of year when 90% soybean green canopy cover (T90) occurred in each plot was estimated using the ED function in R. T90 results are used herein as an indicator of time for canopy closure.

Analysis of Variance

Planting time, row-spacing, tillage system, PRE herbicide, and year were treated as fixed effects, and replications nested within years were treated as a random effect. Linear mixed models with a normal distribution (lme4 package) were fit to T90 and yield data. Normality and homogeneity of variance were evaluated using the Pearson chi-square test (nortest package) and Levene's test (car package), respectively. T90 data were log-transformed, and yield data were square root–transformed before analyses to satisfy the Gaussian assumptions of normality and homogeneity of variance. Means were separated when interactions and/or main effects were less than P = 0.05 using Fisher's protected least-significant difference test. Back-transformed means are presented for ease of interpretation. ANOVA summary for T90 and soybean yield is displayed in Table 2.

Results and Discussion

Soybean Canopy Development (T90)

All factors evaluated in this study had an impact on soybean canopy closure (Table 2). According to the ANOVA results, T90 was influenced by planting time × PRE × year (P = 0.0168), planting time × PRE × tillage (P =0.0359; Table 2), and the row spacing × year (P = 0.0109) interactions.

In 2019, early planted soybean reached T90 6 to 11 d before the standard planted soybean (Table 3). The use of a PRE delayed T90 by 4 d in the early planting whereas it had no impact during the standard planting time. In 2020, early planted soybean within the same PRE treatment reached T90 at 3 to 4 d before the standard planted soybean. The use of a PRE delayed T90 by 3 to 4 d for both planting times. Following a PRE herbicide application, extended cool and wet soil conditions during crop emergence can lead to crop injury and delayed canopy formation (Arsenijevic et al. 2021; Moomaw and Martin 1978; Nelson and Renner 2001; Niekamp et al. 2000; Osborne et al. 1995; Sakaki et al. 1991). Moreover, rainfall during crop emergence can result in the splashing of PRE herbicides onto soybean hypocotyl and cotyledons, causing injury (Hartzler 2004; Wise et al. 2015). Such conditions (cool and wet soils), which are common in the spring in Wisconsin and neighboring states, occurred in this experiment following a PRE application.

Table 2.

ANOVA summary for estimated time to 90% soybean canopy closure (T90) and yield.a

img-AFp_73.gif

Under conventional tillage, early planted soybean reached T90 at 4 to 9 d before the standard planted soybean (Table 4). The use of a PRE delayed T90 by 4 d in the early planting whereas it had no impact during the standard planting time. Under no-till, early planted soybean within the same PRE treatment reached T90 4 to 5 d before the standard planted soybean. The use of a PRE delayed T90 by 3 d for the standard planting time. Yusuf et al. (1999) observed greater crop growth rate in soybean under conventional tillage when compared to the no-till, with differences persisting until the R2 growth stage.

In 2019, narrow row space soybean reached T90 7 d before wide row space (day of the year 198 [95% confidence interval; 196–199] and 205 [203–207], respectively). In 2020, narrow row space soybean reached T90 4 d before wide row space (day of the year 188 [187–189] and 192 [191–194], respectively). Several researchers have documented faster canopy closure in narrow row spacing soybeans (<76 cm) compared to wide row spacing soybeans (76 cm; Alessi and Power 1982; Bertram and Pedersen 2004; Bradley 2006; Elmore 2013; Harder et al. 2007). Soybean canopy closure occurred earlier in 2020 compared with 2019, which can be attributed to warmer temperatures in May and June in 2020 compared with 2019 (Table 1).

Table 3.

Estimated day of year when soybean reached 90% canopy closure (T90) according to planting time, year, and preemergence herbicide interaction (P = 0.0168).a

img-z4-2_73.gif

Table 4.

Estimated day of year when soybean reached 90% canopy closure (T90) according to planting time, preemergence herbicide and tillage interaction (P = 0.0359).a

img-z4-5_73.gif

Even though early and standard treatments were planted approximately a month apart, the maximum difference detected in 90% canopy closure was 11 d in 2019. Nevertheless, a 4- to 11-d difference in T90 can contribute to cultural suppression of weed species with extended emergence window (i.e., redroot pigweed [Amaranthus retroflexus L.], waterhemp, Palmer amaranth; Franca 2015; Werle et al. 2014). PRE herbicide either had no impact or delayed the T90 by up to 4 d in this weed-free study. As a caution, DeWerff et al. (2014) reported that soybean canopy development was delayed in treatments in which no PRE was sprayed and weeds were allowed to compete with the crop.

Soybean Yield

Soybean yield was influenced by the planting time × year interaction (P < 0.0001) and the main effect of tillage (P < 0.0001). PRE herbicide and row spacing treatments did not influence yield in this experiment (P > 0.05; Table 2).

In 2019, early planted soybean yielded an average of 6,026 kg ha–1 (95% confidence interval: 5,837 to 6,221 kg ha–1) whereas standard planted soybean yielded 5,124 kg ha–1 (4,950 to 5,299 kg ha–1). In 2020, early planted soybeans yielded 4,183 kg ha–1 (4,021 to 4,338 kg ha–1), whereas standard planted soybeans yielded 3,995 kg ha–1 (3,840 to 4,149 kg ha–1). The early-planted soybean yielded on average 902 kg ha–1 and 188 kg ha–1 more than standard planted soybean in 2019 and 2020, respectively. In field studies conducted by Mourtzinis et al. (2017a, 2018) across several locations in Wisconsin and Minnesota, the highest soybean yields were achieved with earlier planting (late April); the authors concluded that planting time was the most consistent management factor influencing soybean yield. Matcham et al. (2020) surveyed management decisions deployed in 5,682 soybean fields across ten North Central states (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, North Dakota, Nebraska, Ohio, and Wisconsin) and reported that soybean planting from April 18 to May 11 had a higher yield potential than soybeans planted between May 22 to June 13. Thus, our results corroborate the findings reported by Mourtzinis et al. (2017a, 2018) and Matcham et al. (2020). Even though earlier planted soybeans outyielded standard planted soybeans in both years of this experiment, the yield in 2020 was substantially lower (a decrease of 27%). The 2020 growing season exhibited lower precipitation amounts, particularly in August and September (Table 1), when the lower observed soybean yield in the 2020 growing season was likely due to decreased soil water availability during the pod-filling phase, a crucial yield development stage (Alessi and Power 1982; Kirnak et al. 2008). In addition, soybeans in 2019 were planted after several years of continuous corn crops, which likely contributed to a higher yield potential. Pedersen and Lauer (2003) observed an 8% increase in first-year soybean yield after 5 yr of continuous corn in an experiment conducted in Wisconsin.

Treatments under conventional tillage yielded on average 5,016 kg ha–1 (4,895 to 5,144 kg ha–1), whereas treatments under no-till yielded 4,640 kg ha–1 (4,525 to 4,761 kg ha–1), a 376 kg ha–1 difference. Mourtzinis et al. (2017b) observed 8% to 10% higher soybean yield under conventional tillage compared to no-till in two out of three years of their experiment. However, the increase in soybean yield under conventional tillage system in this experiment is in contrast to the results from a long-term experiment by Pedersen and Lauer (2003), reporting an 8% increase in soybean yield under no-till system.

The yield advantage of narrow space soybeans was not observed in this experiment (P = 0.75), contrary to many findings in the literature in which narrow-row soybean outyielded wide-row soybeans (DeBruin and Pedersen 2008; Lee 2006). It is important to emphasize that there was no impact of PRE herbicide on soybean yield in this study (P = 0.0977; Table 2), despite the observed early-season herbicide injury and subsequent impact on soybean canopy development observed in some treatments (Tables 3 and 4). Previous research reported similar findings of early season soybean injury when other PRE herbicides were used, with no detrimental impact on final yield (Arsenijevic et al. 2021; Belfry et al. 2015; Swantek et al. 1998; Taylor-Lowell et al. 2001).

The findings from this experiment corroborate previous published research and support our initial hypothesis that soybean canopy development can be influenced by integrated agronomic and weed management practices. Herein, early planted soybeans closed canopy earlier and yielded more; narrow row spacing closed canopy earlier but did not influence yield; conventional tillage increased soybean yield. Although PRE herbicide application slightly delayed canopy development in some treatments, it did not impact yield. PRE herbicides are an important component of IWM programs and the delay in canopy development if soybeans were allowed to compete with weeds early in the season in the absence of an effective PRE herbicide would outweigh the slight delay in canopy development by PRE herbicides observed herein. Enhancing the competitive ability of the cultivated crop early in the season will reduce the weed management efforts required in the remainder of the growing season. Agronomic practices that reduce the time to soybean canopy closure (e.g., earlier planting of narrow soybeans) combined with an effective PRE herbicide program can contribute to management of troublesome weeds and mitigate further herbicide-resistance evolution.

Acknowledgments.

We thank the staff and undergraduate and graduate students in the Cropping Systems Weed Science program at the University of Wisconsin-Madison for their invaluable assistance in conducting this research, and the Soybean and Small Grain program for harvesting the soybean plots. This research was partially funded by the Wisconsin Soybean Marketing Board and the United Soybean Board. No conflict of interest has been declared.

References

1.

Alessi J, Power JF (1982) Effects of plant and row spacing on dryland soybean yield and water-use efficiency. Agron J 74:851–854 Google Scholar

2.

Arsenijevic N, De Avellar M, Butts L, Arneson N, Werle R (2021) Influence of sulfentrazone and metribuzin applied preemergence on soybean development and yield. Weed Technol.  https://doi.org/10.1017/wet.2020.99 Google Scholar

3.

Belfry D, Soltani N, Brown RL, Sikema HP (2015) Tolerance of identity preserved soybean cultivars to preemergence herbicides. Can J Plant Sci 95:719–726 Google Scholar

4.

Bertram MG, Pedersen P (2004) Adjusting management practices using glyphosate-resistant soybean varieties. Agron J 96:462–468 Google Scholar

5.

Blackshaw RE, Harker KN, O'Donovan JT, Beckie HJ, Smith EG (2008) Ongoing development of integrated weed management systems on Canadian prairies. Weed Sci 56:46–150 Google Scholar

6.

Bradley KW, Hagood ES, Davis PH (2004) Trumpetcreeper (Campsis radicans) control in double-crop glyphosate-resistant soybean with glyphosate and conventional herbicide systems. Weed Technol 18:298–303 Google Scholar

7.

Bradley KW (2006) A review of the effects of row spacing on weed management in corn and soybean. Crop Manag 5:1–10 Google Scholar

8.

Butts TR, Norsworthy JK, Kruger GR, Sandell LD, Young BG, Steckel LE, Loux MM, Bradley KW, Conley SP, Stoltenberg DE, Arriaga FJ, Davis VM (2016) Management of pigweed (Amaranthus spp.) in glufosinate-resistant soybean in the Midwest and Mid-south. Weed Technol 30:355–365 Google Scholar

9.

Correndo AA, MoroRosso LH, Ciampitti IA (2021) Agrometeorological data using R-software. Cambridge, MA: Harvard University Dataverse.  https://doi.org/10.7910/DVN/J9EUZU Google Scholar

10.

DeBruin JL, Pedersen P (2008) Effect of row spacing and seeding rate on soybean yield. Agron J 100:704–710 Google Scholar

11.

DeWerff RP, Conley SP, Colquhoun JB, Davis VM (2014) Can soybean seeding rate be used as an integrated component of herbicide resistance management. Weed Sci 62:625–636 Google Scholar

12.

Duke SO (2015) Perspectives on transgenic, herbicide-resistant crops in the United States almost 20 years after introduction. Pest Manag Sci 71:652–657 Google Scholar

13.

Elmore WR (2013) Soybean cultivar responses to row spacing and seeding rates in rainfed and irrigated environments. Nebraska Agricultural Research Division Journal Series no. 11856. https://doi.org/10.2134/jpa1998.0326 Google Scholar

14.

Franca LX (2015) Emergence patterns of common waterhemp and Palmer amaranth in Southern Illinois. Master thesis. Carbondale: Southern Illinois University Google Scholar

15.

Givens WA, Shaw DR, Johnson WG, Weller SC, Young BG, Wilson RG, Owen MD, Jordan D (2009) A grower survey of herbicide use patterns in glyphosate-resistant cropping systems. Weed Technol 23:156–161 Google Scholar

16.

Harder DB, Sprague CL, Renner KA (2007) Effect of soybean row width and population on weeds, crop yield, and economic return. Weed Technol 21:744–752 Google Scholar

17.

Hartzler B (2004) Sulfentrazone and flumioxazin injury to soybean. Ames: Iowa State University Extension.  http://extension.agron.iastate.edu/weeds/mgmt/2004/ppoinjury.shtml. Accessed: January 12, 2021 Google Scholar

18.

Heap I (2021) The International survey of herbicide resistant weeds.  http://www.weedscience.org/Home.aspx. Accessed: April 5, 2021 Google Scholar

19.

Jha P, Norsworthy JK (2009) Soybean canopy and tillage effects on emergence of Palmer amaranth (Amaranthus palmeri) from a natural seed bank. Weed Sci 57:644–651 Google Scholar

20.

Johnson WG, Bradley PR, Hart SE, Buesinger ML, Massey RE (2000). Efficacy and economics of weed management in glyphosate-resistant corn (Zea mays). Weed Technol 14:57–65 Google Scholar

21.

Klingaman TW, Oliver LR (1994) Influence of cotton (Gossypium hirsutum) and soybean (Glycine max) planting date on weed interference. Weed Sci 42:61–65 Google Scholar

22.

Kirnak H, Dogan E, Alpaslan M, Boydak E, Copur O, Celik S (2008) Drought stress imposed at different reproductive stages influences growth, yield and seed composition of soybean. Philippine Agric Sci 91:261–268 Google Scholar

23.

Lee CD (2006) Reducing row widths to increase yield: Why it does not always work. Crop Manag Sci 5:1–7 Google Scholar

24.

Legere A, Schreiber MM (1989) Competition and canopy architecture as affected by soybean (Glycine max) row width and density of redroot pigweed (Amaranthus retroflexus). Weed Sci 37:84–92 Google Scholar

25.

Liebman M, Mohler CL, Staver CP (2001) Ecological management of agricultural weeds. 1st ed. Cambridge, UK: Cambridge University Press. Pp 2–4 Google Scholar

26.

Matcham GE, Mourtzinis S, Edreira JI, Grassini P, Roth AC, Casteel SN, Ciampitti IA, Kandel HJ, Kyveryga PM, Licht MA, Lindsey LE, Mueller DS, Nafziger DE, Naeve LS, Stanley J, Staton JM, Conley PS (2020) Management Strategies for early- and late-planted soybean in the North Central U.S.  https://digitalcommons.unl.edu/agronomyfacpub/1398. Accessed: May 19, 2021 Google Scholar

27.

Mallarino AP (1999) Phosphorus and potassium placement effects on early growth and nutrient uptake of no-till corn and relationships with grain yield. Agron J 91:37–45 Google Scholar

28.

Mickelson JA, Renner KA (1997) Weed control using reduced rates of post emergence herbicides in narrow and wide row soybean. J Prod Agric 10:431–437 Google Scholar

29.

Moomaw RS, Martin AR (1978) Interaction of metribuzin and trifluralin with soil type on soybean (Glycine max) growth. Weed Sci 26:327–331 Google Scholar

30.

Mourtzinis S, Edreira JI, Grassini P, Roth AC, Casteel SN, Ciampitti IA, Kandel HJ, Kyveryga PM, Licht MA, Lindsey LE, Mueller DS, Nafziger DE, Naeve LS, Stanley J, Staton JM, Conley SP (2018) Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region. Field Crop Res 221:130–141 Google Scholar

31.

Mourtzinis S, Gaspar A, Naeve LS, Conley PS (2017a) Planting date, maturity, and temperature effects on soybean seed yield and composition. Agron J 109:2040–2049 Google Scholar

32.

Mourtzinis S, Marburger D, Gaska J, Diallo T, Lauer J, Conley S (2017b) Corn and soybean yield response to tillage, rotation, and nematicide seed treatment. Crop Sci 57:1704–1712 Google Scholar

33.

Nelson KA, Renner KA (2001) Soybean growth and development as affected by glyphosate and postemergence herbicide tank mixtures. Agron J 93:428–434 Google Scholar

34.

Nice GR, Buehring NW, Shaw DR (2001) Sicklepod (Senna obtusifolia) response to shading, soybean (Glycine max) row spacing, and population in three management systems. Weed Technol 15:155–162 Google Scholar

35.

Niekamp JW, Johnson WG, Smeda RJ (2000) Broadleaf weed control with sulfentrazone and flumioxazin in no-tillage soybean (Glycine max). Weed Technol 13:233–238 Google Scholar

36.

Norsworthy JK, Shipe E (2006) Evaluation of glyphosate resistant Glycine max genotypes for competitiveness at recommended seeding rates in wide and narrow rows. Crop Prot 25:362–368 Google Scholar

37.

Norsworthy JK, Oliveira, MJ (2007) Tillage and soybean canopy effects on common cocklebur (Xanthium strumarium) emergence. Weed Sci 55:474–480 Google Scholar

38.

Osborne BT, Shaw DR, Ratliff RL (1995) Soybean (Glycine max) cultivar tolerance to SAN 582H and metolachlor as influenced by soil moisture. Weed Sci 43:288–292 Google Scholar

39.

Pedersen P (2007) Managing soybean for high yield. Ames: Iowa State University Extension,  http://publications.iowa.gov/7963/1/HighYield.pdf. Accessed: February 27, 2021 Google Scholar

40.

Pedersen P, Lauer JG (2003) Corn and soybean response to rotation sequence, row spacing, and tillage system. Agron J 95:965–971 Google Scholar

41.

Poston DH, Nandula VK, Koger CH, Griffin R (2008) Preemergence herbicides effect on growth and yield of early-planted Mississippi soybean. Crop Manag 7:1–4 Google Scholar

42.

Powles SB (2008) Evolved glyphosate-resistant weeds around the world: Lessons to be learnt. Pest Manage Sci 64:360–365 Google Scholar

43.

Reddy KN, Whiting K (2000) Weed control and economic comparisons of glyphosate-resistant, sulfonylurea-tolerant, and conventional soybean (Glycine max) systems. Weed Technol 14:204–211 Google Scholar

44.

Regnier EE, Janke RR (1990) Evolving strategies for managing weeds. Pages 174–202 in Edwards R, Lal R, Madden R, Miller RH, House G, eds. Sustainable agricultural systems. Ankeny, IA: Soil Water Conservation Society Google Scholar

45.

Ritz C, Strebig J (2016) Package “drc.”  https://cran.r-project.org/web/packages/drc/drc.pdf. Accessed: Accessed February 26, 2021 Google Scholar

46.

Sakaki M, Sato R, Haga T, Nagano E, Oshio H, Kamoshita K (1991) Herbicidal efficacy of S-53482 and factors affecting the phytotoxicity and the efficacy. Weed Sci Soc Am Abstr 34:12 Google Scholar

47.

Sanyal D, Bhowmik PC, Anderson RL, Shrestha A (2008) Revisiting the perspective and progress of integrated weed management. Weed Sci 56:161–167 Google Scholar

48.

Shaw WC (1982) Integrated weed management systems technology for pest management. Weed Sci 30(S1):2–12 Google Scholar

49.

Swanton CJ, Murphy SD (1996) Weed science beyond the weeds: the role of integrated weed management (IWM) in agroecosystem health. Weed Sci 44:437–445 Google Scholar

50.

Swantek JM, Sneller CH, Oliver LR (1998) Evaluation of soybean injury from sulfentrazone and inheritance of tolerance. Weed Sci 46:271–277 Google Scholar

51.

Swanton CJ, Weise SF (1991) Integrated weed management: the rationale and approach. Weed Technol 5:657–663 Google Scholar

52.

Taylor-Lovell S, Wax LM, Nelson R (2001) Phytotoxic response and yield of soybean (Glycine max) varieties treated with sulfentrazone or flumioxazin. Weed Technol 15:95–102 Google Scholar

53.

Thornton PE, Thornton MM, Mayer BW, Wei Y, Devarakonda R, Vose RS, Cook RB (2016) Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3: 711509.8892839993 MB.  https://doi.org/10.3334/ORNLDAAC/1328 Google Scholar

54.

[USDA-NASS] United States Department of Agriculture–National Agricultural Statistics Service (2021). Quick Stats 2006–2020.  https://quickstats.nass.usda.gov/results/82AC96E3-CE4F-3708-8910-CD9F662B15A0. Accessed: September 30, 2021 Google Scholar

55.

Walker RH, Buchanan GA (1982) Crop manipulation in integrated weed management systems. Weed Sci 30(S1):17–24 Google Scholar

56.

Werle R, Sandel L, Buhler D, Hartzler R, Lindquist J (2014) Predicting emergence of 23 summer annual weed species. Weed Sci 62:267–279 Google Scholar

57.

Wise K, Mueller DS, Kandel Y, Young B, Johnson B, Legleiter T (2015) Soybean seedling damage: Is there an interaction between the ILeVO seed treatment and pre-emergence herbicides? Ames: Iowa State University Press Integrated Crop Management News.  https://crops.extension.iastate.edu/cropnews/2015/05/soybean-seedling-damage-there-interaction-between-ilevo-seed-treatment-and-pre. Accessed: May 19, 2021 Google Scholar

58.

Yusuf R, Siemens J, Bullock D (1999) Growth analysis of soybean under no-tillage and conventional tillage systems. Agron J 91:928–933 Google Scholar

59.

Zhang, QY, Gao QL, Herbert SJ, Li YS, Hashemi AM (2010) Influence of sowing date on phenological stages, seed growth and marketable yield of four vegetable soybean cultivars in North-eastern USA. Afr J Agric Res 5:2556–2562 Google Scholar
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Weed Science Society of America.
Nikola Arsenijevic, Ryan DeWerff, Shawn Conley, Matthew Ruark, and Rodrigo Werle "Influence of integrated agronomic and weed management practices on soybean canopy development and yield," Weed Technology 36(1), 73-78, (27 October 2021). https://doi.org/10.1017/wet.2021.92
Received: 26 July 2021; Accepted: 6 October 2021; Published: 27 October 2021
KEYWORDS
herbicide injury
integrated weed management
planting date
row spacing
soybean yield
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