Posted on

weed seeds what does r or f mean seed bank

Luschei, E.C., Buhler, D.D & Dekker, J.H. 1998. Effect of separating giant foxtail (Setaria faberi) seeds from soil using potassium carbonate and centrifugation on viability and germination. Weed Sci. 46: 548-548.

The spatial pattern of seed banks often can be described mathematically by a negative binomial distribution (NBD). From a practical point of view, this basically means that many soil samples representative of the seed bank for any particular species will have no seeds, and a few samples will have high numbers of seeds. For instance, Jones, (1998) found that at least half of her sampled cores were devoid of seeds when mean seed densities were less than 4 000 m -2 , and that 75 percent of cores were devoid of seeds when seed densities were less than 750 m -2 . Note that seed density changes the apparent level of aggregation. Typically, as the density of a species increases, the level of aggregation decreases, and the ease of adequate sampling rises, but much variation surrounds this generality. For instance, in the equation describing NBD, the level of aggregation is associated with the k coefficient, which was reported by Chauvel et al. (1989) for several common temperate weed species (Table 1).

Where possible, split air-dried seeds symmetrically with a single-edged razor to bisect and expose the embryo. Thus, the cut surface of each half of the seed should show at least parts of the radicle and hypocotyl (e.g. Abutilon theophrasti Medik.) or the radicle and coleoptile (e.g. Setaria faberi Herrm.). Choose the half-seed that appears most intact, place on blotter paper saturated with 0.2 percent TZ, and incubate at 25 C. After 12 hours’ incubation, viable seeds exhibit red growing points, whereas dead seeds retain their original colour. The period of incubation usually is too short for substantial growth of micro-organisms.

Delorit, R.J. 1970. Illustrated taxonomy manual of weed seeds . University of Wisconsin Agronomy Publications, River Falls, Wisconsin, USA. 175 pp.

The recent symposium volume edited by Champion et al. (1998) provides one of the best available condensations of seed bank studies and methodologies. We encourage researchers who desire to begin working on seed banks to consult this book. Another very useful treatise on seed banks is Leck et al. (1989). The review by Roberts (1981) and chapters in Baskin and Baskin (1998) also contain much useful information. Otherwise, the first and most important guidance we can provide is that the objectives of the overall experiment should be matched to the need to have seed bank information. Will knowledge of seed bank composition and density provide insights that are more useful than those gained from knowledge of aboveground vegetation? Although seed bank analyses usually are not very expensive, they are labour-intensive. Consequently, the objectives of seed bank studies should be clear and unequivocal. Researchers must remember that the seed bank is part of a dynamic soil-plant-animal-microbe system, and the tedious work required to characterize the seed bank only provides us with a ‘shapshot’ in time.

The first technique can be termed “direct seed extraction,” and Malone, (1967) is the author most often cited for this technique. The direct seed extraction method can be used on (a) the entire soil sample derived from entire individual cores, (b) subsamples of individual cores, or (c) subsamples of soil from aggregated cores. Clearly, labour requirements decrease from a-c, as does reliability of the resulting estimates of seed bank densities.

The results shown in Table 2 (Dessaint et al. 1996) also may be specific to the region in which the data were collected, but this region was quite broad, involved many crops and soil types, crossed several national boundaries, and spanned Mediterranean through temperate agro-ecosystems. In any event, the number of cores necessary for estimating seed bank densities is not nearly as large as other literature sources indicate, provided that densities of the species of interest are greater than 100 seeds m -2 . With some luck, these results will have universal application (although exceptions certainly can be expected), which will help to alleviate a formidable burden on seed bank researchers. It should be kept in mind, however, that if the goal of the study is to characterize the seed flora and density completely, as in a weed community analysis, then the number of cores required is higher because the less common species will be sampled at a lower level of precision than the more common species. In agricultural fields, over 90 percent of the seeds might be comprised of just a few of the 30 or more species represented in the seed bank. Therefore, some of the more interesting changes in weed communities – such as shifts in response to management – might be happening among the less abundant species, and higher sampling intensity is required to detect these changes.

Our systems have detected unusual traffic activity from your network. Please complete this reCAPTCHA to demonstrate that it’s you making the requests and not a robot. If you are having trouble seeing or completing this challenge, this page may help. If you continue to experience issues, you can contact JSTOR support.

Block Reference: #a734b650-d57d-11eb-9594-c1b4516a2731
VID: #(null)
IP: 193.188.21.42
Date and time: Fri, 25 Jun 2021 06:22:01 GMT