Location: Vegetable Crops Research Unit
Project Number: 5090-21220-003-00
Start Date: Oct 01, 2013
End Date: Sep 30, 2018
Objective 1: Next-generation sequencing technology will be used to characterize the cranberry genome. The resultant data will be used to discover and mine molecular markers such as SSRs and SNPs. We will then develop high-resolution genetic maps using the developed markers based on several available half-sib F1 mapping populations. Phenotyping will involve collecting data on yield-related traits and other horticultural measurements, including total fruit weight, percent rotten fruit, average berry weight, and fruit quality parameters. These traits will be localized in the linkage map described above. Information derived from the high resolution cranberry linkage map with yield-related will be used to plan strategic crosses. Objective 2: Prior to creating cranberry hybrids, horticultural, genetic, and genomic information will be carefully considered to ensure that strategic crosses are accomplished. A microsatellite marker based fingerprinting assay will be developed for the true-to-type verification of the cranberry cultivars. We will also characterize known cranberry diversity from the breeding programs and collections and samples sent in by growers. Pedigree information will be evaluated in the light of marker information to determine the most likely genotypes or genetic pools associated with each named cultivar and their associated horticultural performance. A series of cranberry hybrids with complementary genetic pools will be created and evaluated. Objective 3: The temperature-specific development rates and degree-day (DD) accumulations associated with cranberry fruitworm (CFW) and Sparganothis fruitworm (SFW) will be determined. Larval growth rates will be measured over a wide range of controlled temperatures. Growth rates will be plotted against temperature, and models will be fit to the dynamic. From these models, the lower and upper development thresholds will be isolated. The thresholds will then be used to generate degree-day (DD) accumulations that can be linked to discrete biological events, such as flight initiation in the field, adult lifespan, ovipositional period, and egg-hatch periods. DD accumulations represent key developmental benchmarks, helping to optimize pest management in the cranberry system. Objective 4: novel insect pest management approaches will be investigated. Two primary tactics will be explored within the cranberry system: pheromone-based mating disruption and trophic position measurement. In partnership with private industry, as well as Wisconsin cranberry growers, the first ever 3-species mating disruption program will be deployed at large scales within commercial marshes. Population suppression of the target pests will be assayed and compared with conventional pest management approaches. Studies of arthropod trophic position will be conducted using stable isotopic analysis of amino acids. Trophic position estimation will reveal the lifetime trophic tendencies of carnivorous species, thereby providing empirical evidence as to which species are actually beneficial for cranberry production.