@article{pratt_holland_balint-kurti_coles_zwonitzer_casey_mcmullen_2015, title={Registration of the Ki14 × B73 Recombinant Inbred Mapping Population of Maize}, volume={9}, ISSN={1936-5209}, url={http://dx.doi.org/10.3198/jpr2014.06.0041crmp}, DOI={10.3198/jpr2014.06.0041crmp}, abstractNote={The Ohio Agricultural Research and Development Center released Ki14 × B73 maize (Zea mays L.) mapping population (Reg. No. MP-2, MGS 9025066 MAP; Maize Genetics COOP Stock Center no. Z042), a set of 119 recombinant inbred lines (RILs), in 2007. The mapping population was derived from a biparental cross between tropical inbred Ki14 (NCRPIS accession Ames 27259) and temperate inbred B73 (Reg. No. PL-17, PI 550473). One hundred sixteen of the original RILs were used for mapping quantitative trait loci associated with host resistance to foliar pathogens inciting southern corn leaf blight [caused by Cochliobolus heterostrophus (Drechs.)], gray leaf spot, (caused by Cercospora zeae-maydis Tehon & E.Y. Daniels), and northern corn leaf blight [caused by Setosphaeria turcica (Luttrell) K.J. Leonard & E.G. Suggs], three traits associated with maturity—days to anthesis, days to silking, and anther silk interval—and two morphological traits, plant and ear height. The genetic marker data included 765 single nucleotide polymorphisms and 74 simple sequence repeat markers genotyped on all the RILs and constructed into a genetic map. It is envisioned that the high level of host resistance of Ki14 and the agronomic performance of B73 will invite use of the population as a germplasm source for improved host resistance of temperate zone, and increased yield potential, of tropical zone maize. Distribution of the RIL mapping population will allow public access to this resource for continued mapping, gene discovery, and plant breeding.}, number={2}, journal={Journal of Plant Registrations}, publisher={Wiley}, author={Pratt, R. C. and Holland, J. B. and Balint-Kurti, P. J. and Coles, N. D. and Zwonitzer, J. C. and Casey, M. A. and McMullen, M. D.}, year={2015}, month={Mar}, pages={262–265} }
 @article{belcher_zwonitzer_cruz_krakowsky_chung_nelson_arellano_balint-kurti_2012, title={Analysis of quantitative disease resistance to southern leaf blight and of multiple disease resistance in maize, using near-isogenic lines}, volume={124}, ISSN={["1432-2242"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84860880839&partnerID=MN8TOARS}, DOI={10.1007/s00122-011-1718-1}, abstractNote={Maize inbred lines NC292 and NC330 were derived by repeated backcrossing of an elite source of southern leaf blight (SLB) resistance (NC250P) to the SLB-susceptible line B73, with selection for SLB resistance among and within backcross families at each generation. Consequently, while B73 is very SLB susceptible, its sister lines NC292 and NC330 are both SLB resistant. Previously, we identified the 12 introgressions from NC250P that differentiate NC292 and NC330 from B73. The goals of this study were to determine the effects of each introgression on resistance to SLB and to two other foliar fungal diseases of maize, northern leaf blight and gray leaf spot. This was achieved by generating and testing a set of near isogenic lines carry single or combinations of just two or three introgressions in a B73 background. Introgressions 3B, 6A, and 9B (bins 3.03-3.04, 6.01, and 9.02-9.03) all conferred significant levels of SLB resistance in the field. Introgression 6A was the only introgression that had a significant effect on juvenile plant resistance to SLB. Introgressions 6A and 9B conferred resistance to multiple diseases.}, number={3}, journal={THEORETICAL AND APPLIED GENETICS}, publisher={Springer Science \mathplus Business Media}, author={Belcher, Araby R. and Zwonitzer, John C. and Cruz, Jose Santa and Krakowsky, Mathew D. and Chung, Chia-Lin and Nelson, Rebecca and Arellano, Consuelo and Balint-Kurti, Peter J.}, year={2012}, month={Feb}, pages={433–445} }
 @article{kump_bradbury_wisser_buckler_belcher_oropeza-rosas_zwonitzer_kresovich_mcmullen_ware_et al._2011, title={Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population}, volume={43}, ISSN={["1061-4036"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-79251575784&partnerID=MN8TOARS}, DOI={10.1038/ng.747}, abstractNote={Nested association mapping (NAM) offers power to resolve complex, quantitative traits to their causal loci. The maize NAM population, consisting of 5,000 recombinant inbred lines (RILs) from 25 families representing the global diversity of maize, was evaluated for resistance to southern leaf blight (SLB) disease. Joint-linkage analysis identified 32 quantitative trait loci (QTLs) with predominantly small, additive effects on SLB resistance. Genome-wide association tests of maize HapMap SNPs were conducted by imputing founder SNP genotypes onto the NAM RILs. SNPs both within and outside of QTL intervals were associated with variation for SLB resistance. Many of these SNPs were within or near sequences homologous to genes previously shown to be involved in plant disease resistance. Limited linkage disequilibrium was observed around some SNPs associated with SLB resistance, indicating that the maize NAM population enables high-resolution mapping of some genome regions.}, number={2}, journal={NATURE GENETICS}, publisher={Nature Publishing Group}, author={Kump, Kristen L. and Bradbury, Peter J. and Wisser, Randall J. and Buckler, Edward S. and Belcher, Araby R. and Oropeza-Rosas, Marco A. and Zwonitzer, John C. and Kresovich, Stephen and McMullen, Michael D. and Ware, Doreen and et al.}, year={2011}, month={Feb}, pages={163–U120} }
 @article{zwonitzer_bubeck_bhattramakki_goodman_arellano_balint-kurti_2009, title={Use of selection with recurrent backcrossing and QTL mapping to identify loci contributing to southern leaf blight resistance in a highly resistant maize line}, volume={118}, ISSN={["1432-2242"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-61649093980&partnerID=MN8TOARS}, DOI={10.1007/s00122-008-0949-2}, abstractNote={B73 is a historically important maize line with excellent yield potential but high susceptibility to the foliar disease southern leaf blight (SLB). NC292 and NC330 are B73 near-isogenic lines (NILs) that are highly resistant to SLB. They were derived by repeated backcrossing of an elite source of SLB resistance (NC250P) to B73, with selection for SLB resistance among and within backcross families. The goal of this paper was to characterize the loci responsible for the increased SLB resistance of NC292 and NC330 and to determine how many of the SLB disease resistance quantitative trait loci (dQTL) were selected for in the development of NC292 and NC330. Genomic regions that differentiated NC292 and NC330 from B73 and which may contribute to NC292 and NC330s enhanced SLB resistance were identified. Ten NC250P-derived introgressions were identified in both the NC292 and NC330 genomes of which eight were shared between genomes. dQTL were mapped in two F(2:3) populations derived from lines very closely related to the original parents of NC292 and NC330--(B73rhm1 x NC250A and NC250A x B73). Nine SLB dQTL were mapped in the combined populations using combined SLB disease data over all locations (SLB AllLocs). Of these, four dQTL precisely colocalized with NC250P introgressions in bins 2.05-2.06, 3.03, 6.01, and 9.02 and three were identified near NC250P introgressions in bins 1.09, 5.05-5.06, and 10.03. Therefore the breeding program used to develop NC292 and NC330 was highly effective in selecting for multiple SLB resistance alleles.}, number={5}, journal={THEORETICAL AND APPLIED GENETICS}, publisher={Springer Science \mathplus Business Media}, author={Zwonitzer, John C. and Bubeck, David M. and Bhattramakki, Dinakar and Goodman, Major M. and Arellano, Consuelo and Balint-Kurti, Peter J.}, year={2009}, month={Mar}, pages={911–925} }
 @article{kirigwi_zwonitzer_mian_wang_saha_2008, title={Microsatellite markers and genetic diversity assessment in Lolium temulentum}, volume={55}, ISSN={["1573-5109"]}, DOI={10.1007/s10722-007-9218-5}, number={1}, journal={GENETIC RESOURCES AND CROP EVOLUTION}, author={Kirigwi, Francis M. and Zwonitzer, John C. and Mian, M. A. Rouf and Wang, Zeng-Yu and Saha, Malay C.}, year={2008}, month={Feb}, pages={105–114} }
 @article{balint-kurti_wisser_zwonitzer_2008, title={Use of an advanced intercross line population for precise mapping of quantitative trait loci for gray leaf spot resistance in maize}, volume={48}, ISSN={["1435-0653"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-54949084231&partnerID=MN8TOARS}, DOI={10.2135/cropsci2007.12.0679}, abstractNote={Gray leaf spot [GLS, causal agent Cercospora zeae‐maydis (Tehon and E. Y. Daniels)] is an important fungal disease of maize in the U.S. and worldwide. The IBM population, an advanced intercross recombinant inbred line population derived from a cross between the maize lines Mo17 (resistant) and B73 (susceptible), was evaluated in three environments (Andrews, NC in 2005, 2006, and 2007) for resistance to GLS and for days from planting to anthesis (DTA). A conventional recombinant inbred line population derived from the same two parents (the “Stuber” population) was also assessed for GLS resistance in two environments (Andrews NC, 2004 and 2005). Quantitative trait loci (QTL) for GLS resistance were detected in each population. Five significant QTL were detected in the IBM population in bins 1.05, 2.04, 4.05, 9.03, and 9.05. In each case the QTL were localized to regions less than 3 centiMorgans (cM). Two QTL for GLS resistance were identified in the Stuber population in bins 2.04 and 7.05. The GLS QTL in bin 2.04 was previously identified as a QTL for southern leaf blight resistance in the IBM population. These results were compared with results from five previous GLS QTL studies and two potential GLS QTL “hotspots” were identified in bins 1.05–1.06 and 2.03–2.05. As expected, QTL were identified with much more precision in the IBM population compared to the Stuber population and to previous studies. There was no significant correlation between disease resistance and days to anthesis. Three DTA QTL were detected in bins 4.09, 8.05, and 9.02, which did not co‐localize with GLS QTL.}, number={5}, journal={CROP SCIENCE}, publisher={Crop Science Society of America}, author={Balint-Kurti, Peter J. and Wisser, Randall and Zwonitzer, John C.}, year={2008}, pages={1696–1704} }