Using Plant Volume to Quantify Interference in Corn (<i>Zea mays</i>) Neighborhoods

Bussler, Brett H.; Maxwell, Bruce D.; Puettmann, Klaus J.

doi:10.1017/s0043174500081698

Cited by 42 publications

(42 citation statements)

References 30 publications

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“…Canopy area (A) was multiplied by height to obtain an estimate of cylindrical volume (m 3 ) for each tree (Bussler et al 1995;Haskell et al 2012).…”

Section: Growth and Survival Of Treesmentioning

confidence: 99%

Restoring hardwood trees to lake riparian areas using three planting treatments

Haskell

Bales

Webster

et al. 2017

Restoration Ecology

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Lake riparian areas provide wildlife habitat for a wide variety of species. Residential development throughout such lakeshore areas of the United States has increased exponentially in recent decades. Awareness of the vulnerability and importance of lakeshore ecosystems has increased concurrently. Lakeshore habitat restoration projects have been implemented to mitigate some of the negative impacts of human shoreline development, and containerized (CT) trees are frequently one of the highest costs associated with such restoration projects. As an alternative, we tested the effectiveness of using dormant bare‐root (BR) trees in restoration projects along two lakeshores in northern Wisconsin, U.S.A. In addition, we experimented using BR stock that was incorporated into gravel medium at a local nursery and planted later in the summer months. We monitored growth and survival of four native tree species in these three planting treatments over a 3–4‐year period. CT red maple (Acer rubra), paper birch (Betula paperifera), and northern red oak (Quercus rubra) increased in size significantly faster than BR and/or gravel culture (GC) counterparts, whereas CT showy mountain ash (Sorbus decora) growth rates were similar to those of BR and GC stock. Mortality was generally low, but for those species/planting treatments with higher mortality (paper birch and red oak), CT trees were more likely to survive than BR or GC trees. Our results show that the success of deciduous BR and/or GC tree stock relative to CT trees is species dependent, and for some species, CT trees' higher growth rates and survivorship could offset their higher costs.

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“…Canopy area (A) was multiplied by height to obtain an estimate of cylindrical volume (m 3 ) for each tree (Bussler et al 1995;Haskell et al 2012).…”

Section: Growth and Survival Of Treesmentioning

confidence: 99%

Restoring hardwood trees to lake riparian areas using three planting treatments

Haskell

Bales

Webster

et al. 2017

Restoration Ecology

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“…The multiplication of density with a competitive ability factor might improve prediction for multiple weed species. But there is a limitation of using density as a measure of the infestation; it does not account for the emergence time of weeds relative to the crop, weed size and morphology or distance from neighboring plants (Bussler et al, 1995). A rapidly growing plant attains competitive strength, takes up nutrients, suppresses the neighboring plants, occupies more space, and has more access to light.…”

Section: Density Based Modelsmentioning

confidence: 99%

Yield loss prediction models based on early estimation of weed pressure

2013

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“…(1987) extended the density‐dependent yield loss equation to incorporate variable emergence dates. Subsequent efforts have used relative leaf area or cylindrical volumes for crop damage prediction (Kropff & Spitters, 1991; Bussler et al. , 1995; Conley et al.…”

Section: Introductionmentioning

confidence: 99%

Early season height differences as robust predictors of weed growth potential in maize: new avenues for adaptive management?

McDonald¹,

Riha²,

DiTommaso³

2010

Weed Research

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McDonald AJ, Riha SJ & Ditommaso A (2010). Early season height differences as robust predictors of weed growth potential in maize: new avenues for adaptive management? Weed Research50, 110–119. Summary Weed interference in annual cropping systems can be highly variable from year‐to‐year, as well as spatially heterogeneous. These factors have confounded efforts to develop simple methods for predicting competitive outcomes early in the growing season. A 2‐year study was conducted with maize in competition with four annual weed species (Setaria faberi, Abutilon theophrasti, Chenopodium album and Amaranthus retroflexus) to: (i) characterise the relationship between early crop–weed height differences and weed growth potential, and (ii) assess threshold‐type decision rules based on these relationships. Analysis of 742 weed individuals suggests that early season height disparities are robust predictors of season‐long growth. For example, weeds ≤8 cm tall when maize canopy was 60 cm tall had a very low probability (c. 2%) of growing larger than 150 cm and this applied across weed species, relative emergence dates and spatial proximity to the maize row. In our dataset, weeds less than 150 cm tall were associated with low crop yield losses and weed fecundity. Precision management of weed individuals based on early season height differences may provide a reliable and practical basis for selective post‐emergence weed control that is relevant to both yield loss and longer‐term seedbank considerations.

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Using Plant Volume to Quantify Interference in Corn (Zea mays) Neighborhoods

Cited by 42 publications

References 30 publications

Restoring hardwood trees to lake riparian areas using three planting treatments

Restoring hardwood trees to lake riparian areas using three planting treatments

Yield loss prediction models based on early estimation of weed pressure

Early season height differences as robust predictors of weed growth potential in maize: new avenues for adaptive management?

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