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2009

Sammendrag

Introduction: Current risk assessment procedures for contaminated land and for pesticides often fail to properly characterize the risk of chemicals for environment or human health and provide only a rough estimate of the potential risk of chemicals. Chemicals often occur in mixtures in the environment, while regulatory agencies often use a chemical-by-chemical approach, focusing on a single media, a single source, and a single toxic endpoint. Current concepts to estimate biological effects of chemical mixtures mainly rely on data available for single chemicals, disregarding interaction between chemicals in soils. The importance of soil microbes and their activity in the functioning of soils impose a need to include microorganisms in soil quality assessments (Winding et al., 2005) including terrestrial ecotoxicological studies. Numerous papers have been published on the effects of different contaminants on soil microbes, establishing changes in soil microbial diversity as an indicator of soil pollution, but only a limited number of molecular studies investigating fungal diversity in the environment have been performed. The main objective of the study presented here, is to assess the applicability of changes in soil microbial diversity and activity levels as indicators of ecologically relevant effects of chemicals contamination. We have studied the effects of the fungicide picoxystrobin and the chemical 4-n-nonylphenol, on the microbial biodiversity in a Norwegian sandy loam with focus both on prokaryotes and the fungal species. 4-n-nonylphenol is a chemical occurring in high amounts in sewage sludge, hence, these chemicals may occur as single chemicals as well as in mixtures in soils. This work is part of the research project ‘Bioavailability and biological effects of chemicals - Novel tools in risk assessment of mixtures in agricultural and contaminated soils" funded by the Norwegian research council.Methods: Soil samples were treated with the single chemicals or mixtures and incubated at 20°C. Continuous monitoring of respiration activity as well as occasional destructive sampling for extraction of soil DNA, RNA, and chemical residues was performed through a 70 d period. Amplification of soil bacterial and fungal DNA was followed by T-RFLP analysis to assess chemicals effects on soil microbial diversity. Further work will include analyses of extracted soil RNA to assess chemicals effects on important soil functions (e.g. nitrogen cycling, decomposition of organic matter) and an assessment of chemicals effects on the genetic diversity of the soil by high throughput shot-gun sequencing. Finally the results will be evaluated to assess the suitability of any specific group, species or activity/function as biomarker for the selected chemicals (and possibly their group of chemicals).Results and conclusions: A project outline and preliminary results from the project will be presented at the conference.ReferencesWinding A, Hund-Rinke K, Rutgers M (2005). The use of microorganisms in ecological soil classification and assessment concepts. Ecotoxicology and Environmental Safety 62: 230-248.

Sammendrag

A cost efficient use of harvesting resources is important in the forest industry. The main planning is made in an annual resource plan which is continuously revised. The harvesting operations are divided into harvesting and forwarding. The harvesting operation fells trees and put them in piles in the harvest areas. The forwarding operation collects piles and moves them to storage locations adjacent to forest roads. These operations are done by machines (harvesters, forwarders and harwarders) and these are operated by crews living in cities/villages which are within some maximum distance from the harvest areas. Machines, harvest teams and harvest areas have different characteristic and properties and it is difficult to come up with the best possible match throughout the year. The aim with the planning is to come up with a cost efficient plan The total cost is based on three parts; production cost, traveling cost and moving cost. The production cost is the cost for the harvesting and the forwarding. The traveling cost is the cost for driving back and forward (daily) to the harvest area from the home base. Moving cost is associated with moving the machines and equipment between harvest areas. The Forest Research Institute of Sweden has together with a number of Swedish forest companies developed a decision support platform for the planning. An important aspect is to come up with high quality plans within short computational time. A central part is an optimization model which integrates assignment of machines to harvest areas and scheduling of the harvest areas during the year for each machine. The problem is complex and we propose a two phase solution method where we first solve the assignment problem and in a second stage the scheduling. In order be able to control the scheduling also in phase 1, we have introduced an extra cost component which balances the geographical spread of the assignments in phase 1. We have tested the solution approach on a case study from one of the larger Swedish forest companies. This case study involves 46 machines and 968 harvest areas representing a log volume of 1,33 million cubic meters. We describe some numerical results and experiences from the development and tests.

Sammendrag

Control of dock species are a true bottleneck in the development of grassland based organic forage production in Norway. Rumex obtusifolius, Rumex crispus and Rumex longifolius are among the most important perennial weeds in grassland areas throughout the world. These dock- species are undesired in grasslands because they decrease yields and reduce forage feeding value. The experiment in our study is carried out as a full-factorial design, including key-factors, which may influence dock behaviour significantly. The first factor, (i) date of grassland establishment, may be important for preventing /decreasing the flush of seedlings from seeds as well as shoots from root fragments. The purpose of the second factor, (ii) black fallow, is both false seedbed preparation and decreasing food reserves in underground plant parts. The third factor, (iii) is the use of equipment for cutting the taproot either (a) before ploughing by using a tractor propelled rotovator, or (b) cutting the dock taproot in the same operation as ploughing by using a prototype ¿two layer dockplough¿. The biological background for cutting the taproot before ploughing is that many studies have shown that new shoots only come from the 5 upper cm of the taproot. Furthermore, our hypothesis is that shoots from highly fragmented regenerative parts (the neck) of the taproot placed deep will not reach the soil surface before their reserves are depleted. Experiments were carried out at 3 and 4 locations in 2007 and 2008, respectively. Weed development were assessed as number of emerging seedlings as well as number of sprouting plants from root fragments, both in the year when the treatments were carried out and the following year. The results are yet not completely analyzed, but preliminary results indicate that plants from seeds frequently are more numerous than plants from roots. At least at some locations and years both the use of rotovator and the ¿dock plough¿, has reduced the number of plants from root fragments with approx. 50%. However, our experiments have shown that ¿dock plough¿ prototype has to be improved, especially because it did not cut the taproot near the open furrow, and did not bury the green parts well enough.

Sammendrag

Microdochium nivale (syn. Microdochium nivale var. nivale) and Microdochium majus (syn. Microdochium nivale var. majus) are important pathogens which cause snow mould on grasses and winter cereals. These fungi are also able to cause leaf blotch of oat and seedling blight, foot rot and ear blight in cereals. Although no distinct differences in the host range of M. nivale and M. majus are found, indications for differences in host preferences between these fungal species have previously been discussed. The culture collection at Bioforsk contains about 250 Microdochium sp. isolated from grasses and cereals over the last 20 years. Most of the isolates collected from leaves of cereals displaying snow mould symptoms in spring, were identified as M. nivale (71 %), whereas most of the isolates collected from cereal seeds (mostly wheat) belong to the species M. majus (92 %). All, except one out of the sixty nine Microdochium sp. isolated from grass leaves were identified as M. nivale (99 %). The relatively higher incidence of M. majus vs. M. nivale on cereal seeds (mostly wheat) harvested in Norway, is in agreement with studies in UK (Parry et al. 1995). Parry et al. suggested that higher natural occurrence of M. majus (vs. M. nivale) on seeds of cereals could be partly due to the higher proportion of M. majus isolates producing perithecia and thus, a relatively higher amount of M. majus spores spreading to the ear (Parry et al. 1995). The high frequency of M. nivale (99 %) vs. M. majus on grasses collected in Norway could indicate that M. nivale is more aggressive on certain grass species. Studies in our lab indeed point towards a higher aggressiveness of M. nivale vs. M. majus on perennial ryegrass at low temperature (2?C) (Hofgaard et al 2006). However, the high incidence of M. nivale on grass leaves could also be caused by differences in temperature preferences, saprophytic ability or ability to infect certain plant parts. Isolates of M. nivale display a higher in vitro growth rate compared to isolates of M. majus at 2?C (Hofgaard et al. 2006). In conclusion, the higher natural occurrence of M. nivale vs. M. majus on turf grasses and the relatively higher aggressiveness of M. nivale on perennial ryegrass could indicate that M. nivale somehow is better adapted to infect certain grass species.