2021
SCN Screening for MO Breeding Programs
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Lead Principal Investigator:
Andrew Scaboo, University of Missouri
Co-Principal Investigators:
Pengyin Chen, University of Missouri
Project Code:
398-21
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
This project facilitates screening of the MU breeding programs’ experimental lines and varieties for resistance to SCN.
Unique Keywords:
#breeding & genetics, #breeding and genetics, #seed composition, #soybean breeding
Information And Results
Project Summary

This project facilitates screening of the MU breeding programs’ experimental lines and varieties for resistance to SCN.

Project Objectives

The primary goal of this project is to develop productive soybean germplasm and varieties for Missouri with resistance to multiple nematode species. This will be accomplished using SCN, RKN, and RN resistant sources with genes that are most effective against the species prevalent in the state. The work performed under this project will ensure the continued development of high yielding soybean cultivars with multi-nematode resistance for the delta region producers and ensure SCN resistance for the other portions of Missouri.

Project Deliverables

?Develop high yielding soybean varieties with resistance to SCN
?Incorporate genes from new sources for broader resistance to SCN
?Evaluate associated genetic markers for use in the variety development program atMU
?Phenotype breeding lines from the southern and northern MO breeding programs forresistance against multiple SCN populations
?Evaluate new methodologies to improve the process of SCN phenotyping for high-throughput screening of breeding lines

Progress Of Work

Updated April 27, 2021:
Plant-parasitic nematodes (PPN) are the cause of significant yield losses for Missouri soybean producers each year. Soybean cyst nematode (SCN) is the most economically important nematode species that infects soybeans, and it is found throughout the state of Missouri where soybeans are grown. The primary goal of this project is to develop productive soybean germplasm and varieties for Missouri with resistance to soybean cyst nematode. The work performed under this project will ensure the continued development of high yielding soybean cultivars with multi-nematode resistance for Missouri producers.

During 2020, 339 advanced soybean breeding lines from Missouri’s Southern and Northern breeding programs were
evaluated for resistance to four soybean cyst nematode populations including Race 1 (HG 2.5.7), Race 2 (HG 1.2.5.7),
Race 3 (HG 7) and Race 5 (HG 2.5.7). Approximately 5,169 plants from the breeding programs were evaluated.

This year we continued to evaluate material for Pawan Basnet’s research project involving the mapping of SCN resistance genes in a particular plant introduction (PI) line. In this project, we screened 218 lines to evaluate the interaction of SCN
resistance genes for response to four different nematode populations, Races 1, 2, 3, and 5. We also screened 126 lines
for fine-mapping of SCN resistance genes in that PI line. Approximately 5,390 plants were evaluated for this part of the project. This project will allow us to identify the genetic architecture of Race 2 resistance in the unique PI line.

Final Project Results

Benefit To Soybean Farmers

Varieties with multi-nematode and multi-SCN race resistance are limited and needed to reduce losses. Every bushel yield saved by growing a resistant variety will directly translate to farmer income. Continued development of high yielding soybean cultivars with SCN resistance is essential to maintain profitability of soybean for Missouri producers.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.