Proof of concept of automated mapping of weeds in arable fields

The project investigated whether it would be possible to remove the main technical hindrance to precision application of herbicides to arable crops in the UK, namely creating geo-referenced weed maps for each field. The ultimate goal is an information system so that agronomists and farmers can plan precision weed control and create spraying maps. The project focussed on black-grass in wheat, but research was also carried out on barley and beans and on wild-oats, barren brome, rye-grass, cleavers and thistles which form stable patches in arable fields. Farmers may also make special efforts to control them. Using cameras mounted on farm machinery, the project explored the feasibility of automating the process of mapping black-grass in fields. Geo-referenced images were captured from June to December 2009, using sprayers, a tractor, combine harvesters and on foot. Cameras were mounted on the sprayer boom, on windows or on top of tractor and combine cabs and images were captured with a range of vibration levels and at speeds up to 20 km h-1. For acceptability to farmers, it was important that every image containing black-grass was classified as containing black-grass; false negatives are highly undesirable. The software algorithms recorded no false negatives in sample images analysed to date, although some black-grass heads were unclassified and there were also false positives. The density of black-grass heads per unit area estimated by machine vision increased as a linear function of the actual density with a mean detection rate of 47% of black-grass heads in sample images at T3 within a density range of 13 to 1230 heads m-2. A final part of the project was to create geo-referenced weed maps using software written in previous HGCA-funded projects and two examples show that geo-location by machine vision compares well with manually-mapped weed patches. The consortium therefore demonstrated for the first time the feasibility of using a GPS-linked computer-controlled camera system mounted on farm machinery (tractor, sprayer or combine) to geo-reference black-grass in winter wheat between black-grass head emergence and seed shedding.

Transgenic soya beans: economic implications for EU livestock sector

World oilseed trade consists of many closely substitutable commodities, with canola and cottonseed as possible alternatives to soya beans for many purposes. Transgenic events in all three crops have been widely adopted, particularly in North and South America, for compelling economic or agronomic reasons. Despite the close attention from organizations concerned about the potential consequences of transgenic crop adoption, there appears to be no substantiated evidence of transgenic DNA in meat or milk products when such crops are fed to livestock. The global area of these transgenic crops continues to increase. No transgenic canola, cotton or soya bean crops are permitted for commercial cultivation in Europe, and although transgenic feed resources are permitted for import, importers risk shipments being denied entry if the traces of an unauthorized transgenic crop are detected. These tight controls can mean that livestock farmers in the EU are disadvantaged due to restricted access to cheaper feed or higher feed costs, and they are thus loosing a degree of competitive advantage. This paper reviews the extent to which transgenic soya beans have become the ‘conventional’ method of cultivation elsewhere, and notes implications this has for livestock nutrition, traceability and economics within the EU. The paper concludes with discussion regarding the implications for the EU of delayed acceptance of newly available transgenic traits.

Black stem rust "...two blighted ears of wheat, which few persons would have thought it worthwhile to carry with them round the world..."

A brief survey of the history of this most severe pathogen of wheat and our developing understanding of it.

Modelling phosphorus dynamics in multi-branch river systems: A study of the Black River, Lake Simcoe, Ontario, Canada

High rates of nutrient loading from agricultural and urban development have resulted in surface water eutrophication and groundwater contamination in regions of Ontario. In Lake Simcoe (Ontario, Canada), anthropogenic nutrient contributions have contributed to increased algal growth, low hypolimnetic oxygen concentrations, and impaired fish reproduction. An ambitious programme has been initiated to reduce phosphorus loads to the lake, aiming to achieve at least a 40% reduction in phosphorus loads by 2045. Achievement of this target necessitates effective remediation strategies, which will rely upon an improved understanding of controls on nutrient export from tributaries of Lake Simcoe as well as improved understanding of the importance of phosphorus cycling within the lake. In this paper, we describe a new model structure for the integrated dynamic and process-based model INCA-P, which allows fully-distributed applications, suited to branched river networks. We demonstrate application of this model to the Black River, a tributary of Lake Simcoe, and use INCA-P to simulate the fluxes of P entering the lake system, apportion phosphorus among different sources in the catchment, and explore future scenarios of land-use change and nutrient management to identify high priority sites for implementation of watershed best management practises.

Standardised ileal digestibility of crude protein and amino acids of UK-grown peas and faba beans by broilers

In view of the increasing interest in home-grown legumes as components of diets for non-ruminant livestock and in an attempt to reduce the reliance on imported soya bean meal (SBM), two experiments were conducted to evaluate samples of peas and faba beans for their standardised ileal digestibility (SID) of amino acids determined with young broiler chicks. Experiment 1 evaluated six faba bean and seven pea cultivars and Experiment 2 evaluated two faba bean and three pea cultivars as well as a sample of soya bean meal provided as a reference material. Peas and beans were added at 750g/kg as the only source of protein/amino acids in a semi-synthetic diet containing the inert marker titanium dioxide; SBM was added, in a control diet, at 500g/kg. Each diet was fed to six replicates of a cage containing two Ross-type broilers for 96h at which point birds were culled allowing removal of ileal digesta. Chemical analyses allowed the calculation of the coefficient of SID of amino acids. There were no differences between samples of the same pulse species (P>0.05) but peas had higher values (P<0.05), similar to SBM, than beans. Trypsin inhibitor content (expressed as g trypsin inhibitor units/mg sample) of all pea samples was low and in the range 0.83–1.77mg/kg. There was relatively little variation in bean tannin content and composition amongst the coloured-flowered varieties; however, the white-flowered cultivar had no tannins. There was no correlation between tannin content and coefficient of SID. The content of SID of amino acids (g/kg legume) was higher in SBM when compared with peas and beans by virtue of having higher total concentrations.