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“Develop valuable soybean varieties and germplasm for use as genetic resources for companies and for direct on-farm production”
Principal Investigators: Schapaugh, W. - Agronomy
Todd, T. - Plant Pathology
Harold Trick – Plant Pathology
Kansas State University, Manhattan, KS
Outcomes of research on variety development, SCN resistance, genetic gain, drought, and high-throughput phenotyping, FY 23
Variety development
This project enabled the development of over 80 new breeding populations, and advancement of over 300 populations in the F1, F2, F3, F4 and F4:5 generations. Parents used to create these populations were selected for their yield potential, drought tolerance, herbicide resistance (Roundup Ready 1 and STS), seed protein content, oil composition, disease resistance (primarily SCN and Soybean Sudden Death Syndrome), and genetic diversity.
Nearly 10,000 genotypes were evaluated in over 21,000 plots in Kansas in 2022. Over 1600 K-lines were evaluated in our preliminary trials. Over 292 K-lines were evaluated in our KS advanced yield trials. Over 550 (including 59 K-lines) breeding lines from programs across the country were evaluated in USDA Uniform and other cooperative yield. Over 1,500 genotypes, (experimental breeding lines and plant introductions) were evaluated in our drought, remote sensing, and diversity yield trials.
Funding from this project enabled the development and release of KS4323NS and KS4423N from the Kansas Agricultural Experiment Station. These are high-yield, early maturity group IV varieties. The lines are being licensed for commercial production and for use in breeding.
SCN resistance
Breeding lines: Soybean resistance to SCN was evaluated in replicated screening trials for 275 breeding lines in 2022. Approximately 50% of 2022 lines were rated as resistant or moderately resistant to the HG Type 7 SCN screening population, while 9% were rated as resistant or moderately resistant to the HG Type 2.5.7 SCN screening population. Three soybean lines were resistant to both SCN populations, while 17 lines were moderately resistant to both SCN populations. Kansas Soybean Performance Test: Soybean resistance to SCN was evaluated in replicated screening trials for 25 KAES entries and 28 non-KAES entries in the Kansas Soybean Variety Performance Test (KSVPT). Evaluations involved SCN populations that varied in their virulence to the common resistance source PI 88788. Six KAES entries and 10 non-KAES entries were resistant (FI < 10) or moderately resistant (FI = 30) to the HG Type 7 population, while only three KAES entries and one non-KAES entry were resistant or moderately resistant to the GH Type 2.5.7 population. Female indices for the HG Type 7 population were strongly predictive of FI for the HG Type 2.5.7 population, confirming that most KSVPT entries shared a common source of resistance (PI 88788). Female indices for the HG Type 7 population were similarly predictive of FI for the HG Type 1.2.3.5.6.7 population for non-KAES entries but not for KAES entries, reflecting the greater prevalence of resistance sources other than PI 88788 (e.g. Peking) in the KAES entries. No entry had a FI = 30 for all three HG Type populations.
Genetic gain
Following three generations of selection where we used genomic predictions for yield, genetic variation, and seed composition to select, intermate and rapidly cycle F1 plants, progeny from the initial base population and the rapid cycling generations were evaluated at three locations in 2022 for seed yield, maturity, lodging, plant height, and seed protein and oil. These progeny will be evaluated again in 2023 at three locations. Results of these field trials will be used in 2023 and 2024 to characterize the effectiveness of the genomic selection and rapid cycling methodology. We also used the same genomic prediction model to create populations from elite public breeding lines that are predicted to produce superior progeny and have a negligible negative correlation between seed yield and seed protein content. The progeny of these crosses will be in progeny rows in 2023, with plans to evaluate the progeny in replicated field trials in 2024.
Opportunities for training and professional development
Four undergraduate students completed internships with the breeding project during the summer of 2022. One graduate student working on objectives related to this project has completed her M.S. degree requirements and will receive her diploma in May 2023. One post-doc on this project completed work on a manuscript, which was published, and moved to a position in private industry. One additional post-doctoral scientist has joined the team to focus on the applying remote sensing and genomic selection technology to our breeding project.
Dissemination of results
Extension publications, news releases, radio interviews, experiment station reports, field days, extension meetings and tours are used to share the results of this project. Web pages have been developed to disseminate information on new releases and germplasm and pests. Distribution of results of genotype characterization for resistance published online. Distribution of SCN survey results to cliental will provide much-needed information for making informed decisions by producers regarding variety selections for SCN management and by soybean breeders for the development of varieties with improved levels of resistance. Effects of high temperature stress on soybean, and evaluations of host plant resistance were published at scientific conferences and published in peer-reviewed publications. Publications in 2022 included:
Alencar Xavier, William Beavis, James Specht, Brian Diers, Rouf Mian, Reka Howard, George Graef, Randall Nelson, William Schapaugh, Dechun Wang, Grover Shannon, Leah McHale, Perry Cregan, Qijian Song, Miguel Lopez, William Muir, Katy Rainey. (2022). Soybean Nested Association Mapping Dataset. https://scholar.google.com/scholar?oi=bibs&cluster=5938341747497625123&btnI=1&hl=en.
Ayalew, H., Schapaugh, W., Vuong, T., & Nguyen, H. T. (2022). Genome-wide association analysis identified consistent QTL for seed yield in a soybean diversity panel tested across multiple environments. The Plant Genome, 15, e20268. https://doi.org/10.1002/tpg2.20268.