Registration of the KS4895 × Jackson Soybean Mapping Population, AR93705. Issue 2 (4th February 2015)

• Record Type: Journal Article
• Authors: Hwang, Sadal; King, C. Andy; Davies, Marilynn K.; Charlson, Dirk V.; Ray, Jeffery D.; Cregan, Perry B.; Sneller, Clay H.; Chen, Pengyin; Carter, Thomas E.; Purcell, Larry C.
• Is Part Of: Journal of plant registrations. Volume 9:Issue 2(2015)
• Page Start: 266
• Page End: 271
• Publication Date: 2015-02-04
• Subjects: Crops -- Genetic engineering -- Registers; Crops -- Germplasm resources -- Registers; Plant genetic engineering -- Periodicals; Plants -- Development -- Periodicals; Crops -- Genetic engineering; Crops -- Germplasm resources; Plant genetic engineering; Plants -- Development; Electronic journals; Periodicals; Registers (Lists); 631.523
• DOI: 10.3198/jpr2014.05.0034crmp
• Languages: English
• ISSNs: 1936-5209

Abstract

Abstract : AR93705 (Reg. No. MP‐4, NSL 503796 MAP) is a soybean [ Glycine max (L.) Merr.] mapping population developed by the University of Arkansas Experiment Station. The population consists of 15 F3 – and 76 F5 –derived recombinant inbred lines (RILs) from a cross between 'KS4895' (PI 595081) and 'Jackson' (PI 548657). The parents were originally chosen due to differences in sensitivity of N2 fixation to drought, with Jackson being tolerant and KS4895 being sensitive. The population was selected to have a similar maturity, with a relative maturity group rating from approximately 5.2 to 5.7. The population was genotyped with 171 polymorphic simple sequence repeats by the USDA–ARS Crop Genetics Research Unit at Stoneville, MS, and with 493 polymorphic single nucleotide polymorphisms by the USDA–ARS Soybean Genomic and Improvement Laboratory in Beltsville, MD. Phenotypic data for the population were collected at multiple field sites for yield, canopy wilting, shoot ureide and N concentrations, stem N concentrations, nodule weight (mg plant −1 ), individual nodule weight (mg nodule −1 ), nodule size (mm), and nodule number per plant. Phenotypic and molecular‐marker data were used to identify quantitative trait loci associated with these traits. The population offers a unique educational tool for molecular mapping exercises and genetics and for comparative physiology of drought‐related, phenotypic extremes from the same genetic background.