Stelzer, H. E., Doudrick, R. L., Kubisiak, T. L., and Nelson, C. D. 1999. Prescreening slash pine and Cronartium pedigrees for evaluation of complementary gene action in fusiform rust disease. Plant Dis. 83:385-389. Single-urediniospore cultures of the fusiform rust fungus were used to inoculate seedlings from 10 full-sib families of a five-parent slash pine diallel at two different times in 19...

Dispersal and deposition of pollen of creeping bentgrass (Agrostis stolonifera L.) was estimated by using CALPUFF, a complex model originally developed to simulate dispersal of particulates and other air pollutants. In fi eld experiments, peak pollen emission rates (8 × 106 pollen grains per min per m2 of a creeping bentgrass stand) occurred between 1000 and 1200 h. Pollen survival under outdoo...

mained effective in North America longer than 5 yr after the resistance genes were released in pure-line Integrating selection for agronomic performance and quantitative cultivars (Holland, 1997). Monogenic resistances can be resistance to crown rust, caused by Puccinia coronata Corda var. avenae W.P. Fraser & Ledingham, in oat (Avena sativa L.) requires overcome rapidly by new races of the pat...

Connolly, 1990). Crown rust is the most serious ryegrass fungal pathogen in these areas (Eagling and Clark, 1993), Perennial ryegrass (Lolium perenne L.) and white clover (Trifowith epidemics regularly occurring between spring and lium repens L.) are important pasture components in the higher rainfall areas of southeastern Australia. Crown rust (Puccinia coronata autumn. A preliminary study dem...

Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focussed upon identifying characteristics of fraudulent claims and claimants, and this focus is apparent in the current wave of forensic and data-mining technologies for fraud detection. An alternative, yet ...

This paper presents a survey on methods that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum. Although disease symptoms can manifest in any part of the plant, only methods that explore visible symptoms in leaves and stems were considered. This was done for two main reasons: to limit the length of the paper and b...