1996
DOI: 10.1017/s004317450009353x
|View full text |Cite
|
Sign up to set email alerts
|

A Comparison of Methods to Predict Weed Seedling Populations from the Soil Seedbank

Abstract: Accurate prediction of potential weed seedling density would allow growers to implement control measures more effectively and could help avoid inappropriate and over application of preemergence herbicides. We compared three methods for handling soil samples to predict potential weed seedling emergence in plow-disk and no-tillage corn: seedling emergence from greenhouse trays, emergence from intact cores, and seed extraction following sieving. Seedbank numbers were highest for common lambsquarters followed by a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

6
96
1
3

Year Published

2005
2005
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 111 publications
(106 citation statements)
references
References 18 publications
6
96
1
3
Order By: Relevance
“…Since estimates of seed bank density are known to vary with sampling method (Roberts 1981;Cardina and Sparrow 1996), as well as in time and space (Henderson et al 1988;Coffin and Lauenroth 1989), the wide range in seed bank estimates is not surprising. We also observed high temporal and geographic variation.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since estimates of seed bank density are known to vary with sampling method (Roberts 1981;Cardina and Sparrow 1996), as well as in time and space (Henderson et al 1988;Coffin and Lauenroth 1989), the wide range in seed bank estimates is not surprising. We also observed high temporal and geographic variation.…”
Section: Discussionmentioning
confidence: 99%
“…Some studies have investigated seed banks in CSS (Keeley and Keeley 1984) and related vegetation types such as coastal succulent scrub (Angoa-Roman et al 2005), chaparral (Zammit and Zedler 1994;Holl et al 2000), and grassland (Major and Pyott 1966), but estimates of seed density have varied widely. This may be due to both the high degree of spatial and temporal heterogeneity associated with some seed banks (Henderson et al 1988;Coffin and Lauenroth 1989;Wilson et al 2004) and to different sampling techniques (Roberts 1981;Cardina and Sparrow 1996;Ishikawa-Goto and Tsuyuzaki 2004;Devictor et al in press). Nevertheless, an understanding of the status of the seed bank in CSS and adjacent grassland areas will provide valuable information about the future of CSS (van der Valk and Pederson 1989).…”
Section: Introductionmentioning
confidence: 99%
“…Wheat seeds were extracted and sieved from the soil in a manner similar to Cardina and Sparrow (1996). All soil samples were washed in a root-washing apparatus using screens small enough (0.35 mm) to recover and count wheat seeds.…”
Section: Methodsmentioning
confidence: 99%
“…The subsamples were immediately frozen until November. In the winter of 2003 to 2004, the soil samples were thawed for at least 3 d and placed in the greenhouse in 43 ϫ 55-cm trays (5-cm-deep) (Cardina and Sparrow 1996) and watered and fertilized to encourage plant growth. Three weeks later, all emerged plants were treated with glyphosate at 900 g ae ha Ϫ1 , and GR wheat plants were counted and removed 2 wk after glyphosate application.…”
Section: Methodsmentioning
confidence: 99%
“…Within a single seed bank quantification study, coefficients of variation for germination typically exceed 50% . Greenhouse studies of seedling emergence have been somewhat more accurate than field studies, however the artificial nature of the greenhouse challenges study of seed traits such as dormancy or community processes such as self‐thinning . Even under controlled conditions, some of the mechanisms of seed dormancy are poorly understood.…”
Section: Exiting the Weed Seed Bankmentioning
confidence: 99%