Project Details:

Title:
Trait and production efficiency enhancement in soybean

Parent Project: Soybean variety and germ plasm improvement
Checkoff Organization:Kansas Soybean Commission
Categories:Breeding & genetics, Seed composition
Organization Project Code:
Project Year:2010
Lead Principal Investigator:William Schapaugh (Kansas State University)
Co-Principal Investigators:
Jim Long (Kansas State University)
Tim C. Todd (Kansas State University)
Harold Trick (Kansas State University)
Keywords:

Contributing Organizations

Funding Institutions

Information and Results

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Project Summary

The soybean breeding project will develop high yielding, multiple pest resistant varieties; special purpose varieties for use in food, feed or industrial products; germplasm with specific disease and insect resistance; and lines with improved oil quality. The breeding targets are increased seed yield under dryland and irrigated production systems; seed composition (high oil, high protein, low phytate, low linolenic, mid-oleic, and low saturated fats); and disease and insect resistance: soybean cyst nematode, soybean sudden death syndrome, soybean aphid and soybean rust.

The researchers will improve selection efficiency in breeding for specific traits. They will also continue to improve charcoal rot and soybean cyst nematode (SCN) and soybean sudden death syndrome (SDS) management recommendations. Including identifying and assess biological methods to control diseases, evaluating seed treatments and foliar treatments.

Project Objectives

1. Develop high yielding, multiple pest resistant varieties; special purpose varieties for use in food, feed or industrial products; germplasm with specific disease and insect resistance; lines with improved oil quality.
2. Improve selection efficiency in breeding for specific traits.
3. Improve charcoal rot and soybean cyst nematode (SCN) and soybean sudden death syndrome (SDS) management recommendations.

Project Deliverables

Progress of Work

Final Project Results

Benefit to Soybean Farmers

Performance Metrics

Project Years