Influence of Yellow Foxtail on Corn Growth and Yield

Clay, Sharon A.; Banken, K. R.; Forcella, Frank; Ellsbury, M. M.; Clay, David E.; Olness, Alan

doi:10.1080/00103620600628813

Cited by 6 publications

(7 citation statements)

References 18 publications

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“…13 Abundant S. glauca in maize fields can cause yield losses of up to 45%. 14 Since both weed species develop resistance to herbicides, 15 environmentally friendly alternatives are needed. Sowing CC plants can suppress weed growth and development.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of yellow foxtail (Setaria glauca L.) and barnyardgrass (Echinochloa crus‐galli L.) to aqueous extracts or dry biomass of cover crops

et al. 2020

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BACKGROUND: The common weeds Echinochloa crus-galli L. and Setaria glauca L. were studied for their sensitivity to aqueous extracts or dry biomass of the following cover crops (CCs): Brassicaceae (Sinapis alba, Raphanus sativus var. Oleiformis, Camellina sativa), Fagopyrum esculentum and Guizotia abyssinica. RESULTS: Treating E. crus-galli with aqueous extracts of mixed CCs or individual brassica CC significantly reduced germination. Treating S. glauca with aqueous extracts of C. sativa or G. abyssinicia reduced germination. Aqueous extracts of all CCs significantly reduced radicle length of E. crus-galli and S. glauca, with C. sativa and mixed CCs showing the greatest effect. Aqueous extracts of nearly all CCs delayed start and middle germination of E. crus-galli and S. glauca, with S. alba and R. sativus showing the strongest effects. Aqueous extracts of Brassicaceae leaf and flower significantly reduced germination, coleoptile length, radicle length and seedling biomass of E. crus-galli and S. glauca. Brassicaceae leaves and flowers contained higher phenolics than other tissues. Adding 4 or 8% S. alba and R. sativus dry powder to soil significantly reduced growth of E. crus-galli and S. glauca; even concentrations of 1% measurably slowed growth of E. crus-galli. CONCLUSIONS: Brassicaceae may be allelopathic to S. glauca and E. crus-galli. Aqueous extracts of leaves and flowers showed greater phytotoxic activity than other tissues and also contained more phenolics. Therefore Brassicaceae CCs may be most effective against S. glauca and E. crus-galli if incorporated into soil during their flowering stage.

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Section: Introductionmentioning

confidence: 99%

Sensitivity of yellow foxtail (Setaria glauca L.) and barnyardgrass (Echinochloa crus‐galli L.) to aqueous extracts or dry biomass of cover crops

et al. 2020

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“…Conversely, if control techniques are applied too late, early emerging weeds may be too large for effective control (Carey and Kells 1995;Dalley et al 2004). In addition, if weeds are controlled too late, crop yield potential already may have been reduced irreversibly even if the weeds are controlled (Clay et al 2006;Moriles et al 2012;Norsworthy and Oliveira 2004).…”

mentioning

confidence: 99%

Seed Burial Physical Environment Explains Departures from Regional Hydrothermal Model of Giant Ragweed (Ambrosia trifida) Seedling Emergence in U.S. Midwest

et al. 2013

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Robust predictions of weed seedling emergence from the soil seedbank are needed to aid weed management. A common seed accession (Illinois) of giant ragweed was buried in replicate experimental gardens over 18 site years in Illinois, Michigan, Kansas, Nebraska, Ohio, and South Dakota to examine the importance of site and climate variability by year on seedling emergence. In a nonlinear mixed-effects modeling approach, we used a flexible sigmoidal function (Weibull) to model giant ragweed cumulative seedling emergence in relation to hydrothermal time accumulated in each site-year. An iterative search method across a range of base temperature (Tb) and base and ceiling soil matric potentials (ψband ψc) for accumulation of hydrothermal time identified optima (Tb= 4.4 C, ψb= −2,500 kPa, ψc= 0 kPa) that resulted in a parsimonious regional model. Deviations between the fits for individual site-years and the fixed effects regional model were characterized by a negative relationship between random effects for the shape parameterlrc(natural log of the rate constant, indicating the speed at which emergence progressed) and thermal time (base 10 C) during the seed burial period October through March (r= −0.51, P = 0.03). One possible implication of this result is that cold winter temperatures are required to break dormancy in giant ragweed seeds. By taking advantage of advances in statistical computing approaches, development of robust regional models now is possible for explaining arable weed seedling emergence progress across wide regions.

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“…and Schult.] with a biomass of 110 g m 22 reduced corn grain yield by 10% when it was not controlled, but the absolute weed density that reduced corn grain yield was not reported (Clay et al 2006). Giant foxtail (Setaria faberi Herrm.)…”

mentioning

confidence: 99%

Competitive Effects of Volunteer Corn on Hybrid Corn Growth and Yield

Marquardt¹,

Terry²,

Krupke

et al. 2012

Weed sci.

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Transgenic volunteer corn is a competitive weed in soybean that decreases soybean yield at densities as low as 0.5 plants m−2, yet the competitive effects of volunteer corn in corn have yet to be quantified in the peer-reviewed literature. In order to quantify competition between volunteer corn and hybrid corn, seed was harvested from transgenic hybrid corn. The seed was then hand-planted at two locations (Lafayette, IN and Wanatah, IN) into 3 by 9 m plots of hybrid corn at five densities: 0 (control), 0.5, 2, 4, and 8 plants m−2. Volunteer corn competition reduced leaf area and biomass of hybrid corn plants. Hybrid corn grain yield at Lafayette, IN, was reduced by 23 and 22% due to competition with volunteer corn growing in densities of 8 plants m−2in 2010 and 2011, respectively, but when volunteer corn grain yield was combined with the hybrid corn grain yield, there was no reduction in total grain yield. This study demonstrates that the competitive effects on the grain yield of the hybrid corn will be offset by the grain yield of the volunteer plants. However, because the unpredictable locations and densities of volunteer corn plants present challenges to machine harvesting, future studies should examine what proportion of the volunteer crop is actually harvestable.

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Influence of Yellow Foxtail on Corn Growth and Yield

Cited by 6 publications

References 18 publications

Sensitivity of yellow foxtail (Setaria glauca L.) and barnyardgrass (Echinochloa crus‐galli L.) to aqueous extracts or dry biomass of cover crops

Sensitivity of yellow foxtail (Setaria glauca L.) and barnyardgrass (Echinochloa crus‐galli L.) to aqueous extracts or dry biomass of cover crops

Seed Burial Physical Environment Explains Departures from Regional Hydrothermal Model of Giant Ragweed (Ambrosia trifida) Seedling Emergence in U.S. Midwest

Competitive Effects of Volunteer Corn on Hybrid Corn Growth and Yield

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