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Gaire R, Sneller C, Brown-Guedira G, Van Sanford D, Mohammadi M, Kolb FL, Olson E, Sorrells M, Rutkoski J. Genetic Trends in Fusarium Head Blight Resistance from 20 Years of Winter Wheat Breeding and Cooperative Testing in the Northern U.S.A. Plant Dis 2022; 106:364-372. [PMID: 34282926 DOI: 10.1094/pdis-04-21-0891-sr] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Fusarium head blight (FHB) is a devastating disease of wheat and barley. In the U.S.A., a significant long-term investment in breeding FHB-resistant cultivars began after the 1990s. However, to this date, no study has been performed to understand and monitor the rate of genetic progress in FHB resistance as a result of this investment. Using 20 years of data (1998 to 2018) from the Northern Uniform and Preliminarily Northern Uniform winter wheat scab nurseries that consisted of 1,068 genotypes originating from nine different institutions, we studied the genetic trends in FHB resistance within the northern soft red winter wheat growing region using mixed model analyses. For the FHB resistance traits incidence, severity, Fusarium-damaged kernels, and deoxynivalenol content, the rate of genetic gain in disease resistance was estimated to be 0.30 ± 0.1, 0.60 ± 0.09, and 0.37 ± 0.11 points per year, and 0.11 ± 0.05 parts per million per year, respectively. Among the five FHB-resistance quantitative trait loci assayed for test entries from 2012 to 2018, the frequencies of favorable alleles from Fhb 2DL Wuhan1 W14, Fhb Ernie 3Bc, and Fhb 5A Ning7840 were close to zero across the years. The frequency of the favorable at Fhb1 and Fhb 5A Ernie ranged from 0.08 to 0.33 and 0.06 to 0.20, respectively, across years, and there was no trend in changes in allele frequencies over years. Overall, this study showed that substantial genetic progress has been made toward improving resistance to FHB. It is apparent that today's investment in public wheat breeding for FHB resistance is achieving results and will continue to play a vital role in reducing FHB levels in growers' fields.
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Affiliation(s)
- Rupesh Gaire
- University of Illinois at Urbana-Champaign, Crop Sciences Department, Urbana, IL 61801
| | - Clay Sneller
- Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH 43210
| | - Gina Brown-Guedira
- U.S. Department of Agriculture's Agricultural Research Service, Plant Science Research, Raleigh, NC 27695
| | - David Van Sanford
- Wheat Breeding and Genetics, Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY 40546-0312
| | - Mohsen Mohammadi
- Department of Agronomy, Purdue University, West Lafayette, IN 47907
| | - Frederic L Kolb
- University of Illinois at Urbana-Champaign, Crop Sciences Department, Urbana, IL 61801
| | - Eric Olson
- Michigan State Wheat Breeding and Genetics, Department of Plant, Soil and Microbial Sciences, College of Agriculture & Natural Resources, Michigan State University, East Lansing, MI 48824
| | - Mark Sorrells
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853
| | - Jessica Rutkoski
- University of Illinois at Urbana-Champaign, Crop Sciences Department, Urbana, IL 61801
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Carmack WJ, Clark A, Dong Y, Brown-Guedira G, Van Sanford D. Optical Sorter-Based Selection Effectively Identifies Soft Red Winter Wheat Breeding Lines With Fhb1 and Enhances FHB Resistance in Lines With and Without Fhb1. Front Plant Sci 2020; 11:1318. [PMID: 32983207 PMCID: PMC7479218 DOI: 10.3389/fpls.2020.01318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 08/11/2020] [Indexed: 06/11/2023]
Abstract
Previous results from our lab have shown that using an optical sorter to identify Fusarium head blight (FHB) resistant breeding lines was effective at reducing the toxin deoxynivalenol (DON) and FHB-associated kernel damage. In this paper we quantified the proportion of desirable genotypes at FHB resistance QTL in lines from three selection cycles of optical sorting. Breeding lines were genotyped at loci on chromosomes 3BS, 2DL, and 5A using the following DNA markers: TaHRC, CFD233, and GWM304. TaHRC is a KASP marker for Fhb1, a major FHB resistance QTL on chromosome 3BS. CFD233 is an SSR marker for Qfhs.nau-2DL on chromosome 2DL. GWM304 is an SSR marker for Qfhs.ifa-5A on chromosome 5A. Sorter selection was effective at identifying lines that had the resistant genotype at TaHRC; in other words, the sorter was able to identify lines with resistance alleles at Fhb1. The sorter was less effective at selecting for the resistant genotype at CFD233 and GWM304. However, the proportion of lines with resistant genotypes at GWM304 did increase with additional sorter selection, just not to the degree that was observed for the Fhb1-associated marker. The proportion of lines with resistant alleles at CFD233 did not show a consistent trend. In addition to increasing the proportion of lines with Fhb1 and Qfhs.ifa-5A each selection cycle, optical sorter-based mass selection enhanced FHB resistance in different marker genotype combinations evaluated in this study. For example, there were net reductions in DON and kernel damage after two cycles of sorter selection in 15X110601S07002, a line with Fhb1, with Qfhs.nau-2DL, and with Qfhs.ifa-5A; final C3 DON levels were 63% of the resistant check (KY02C-3005-25). Kernel damage was also reduced in 15X110601A08221 a line without Fhb1, without Qfhs.nau-2DL, and without Qfhs.ifa-5A. Our findings suggest the increased resistance observed in different marker genotype combinations was conferred by QTL other than Fhb1, QFhs.nau-2DL, and Qfhs.ifa-5, and validate our previous results that the optical sorter is effective at selecting FHB-resistant breeding material.
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Affiliation(s)
- W. Jesse Carmack
- Department of Plant and Soil Science, University of Kentucky, Lexington, KY, United States
| | - Anthony Clark
- Department of Plant and Soil Science, University of Kentucky, Lexington, KY, United States
| | - Yanhong Dong
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, United States
| | - Gina Brown-Guedira
- Plant Science Research Unit, USDA-Agricultural Research Service, Raleigh, NC, United States
| | - David Van Sanford
- Department of Plant and Soil Science, University of Kentucky, Lexington, KY, United States
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Russell K, Van Sanford D. Breeding for resilience to increasing temperatures: A field trial assessing genetic variation in soft red winter wheat. Ecol Evol 2018; 8:12090-12100. [PMID: 30598802 PMCID: PMC6303748 DOI: 10.1002/ece3.4668] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 09/27/2018] [Accepted: 10/01/2018] [Indexed: 11/10/2022] Open
Abstract
Breeding for resilience to climate change is a daunting prospect. Crop and climate models tell us that global wheat yields are likely to decline as the climate warms, causing a significant risk to global food security. High temperatures are known to affect crop development yet breeding for tolerance to heat stress is difficult to achieve in field environments. We conducted an active warming study over two years to quantify the effects of heat stress on genetic variation of soft red winter (SRW) wheat (Triticum aestivum L.). Forty SRW cultivars and breeding lines were chosen based on marker genotypes at photoperiod sensitivity and reduced height loci. These genotypes were planted in a randomized complete block design replicated twice across two environments, ambient and artificially warmed. Average heading date occurred 5 days earlier in the warmed environment than in the ambient environment over both years (p ≤ 0.05). On average, grain yield was significantly reduced in the warmed environment by 211.41 kg/ha (p ≤ 0.05) or 4.84%, though we identified 13 genotypes with increased yield in response to warming in both years. Of these genotypes, eight had significantly increased N uptake while six showed significantly increased N utilization efficiency under warming. Under warming, genotypes with wild-type alleles at the Rht-D1 locus display significantly greater yields (p ≤ 0.01) and biomass (p ≤ 0.001) than genotypes with reduced height alleles. Of the 13 genotypes with higher (p ≤ 0.01) yields under warming, nine have the wild-type allele at the Rht-D1 locus in addition to being photoperiod insensitive. The next steps will be to validate these findings in other populations and to develop an efficient breeding/phenotyping scheme that will lead to more resilient cultivars.
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Affiliation(s)
- Kathleen Russell
- Department of Plant and Soil SciencesUniversity of KentuckyLexingtonKentucky
| | - David Van Sanford
- Department of Plant and Soil SciencesUniversity of KentuckyLexingtonKentucky
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Huang M, Cabrera A, Hoffstetter A, Griffey C, Van Sanford D, Costa J, McKendry A, Chao S, Sneller C. Genomic selection for wheat traits and trait stability. Theor Appl Genet 2016; 129:1697-710. [PMID: 27262436 DOI: 10.1007/s00122-016-2733-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 05/21/2016] [Indexed: 05/02/2023]
Abstract
Based on the estimates of accuracy, genomic selection would be useful for selecting for improved trait values and trait stability for agronomic and quality traits in wheat. Trait values and trait stability estimated by two methods were generally independent indicating a breeder could select for both simultaneously. Genomic selection (GS) is a new marker-assisted selection tool for breeders to achieve higher genetic gain faster and cheaper. Breeders face challenges posed by genotype by environment interaction (GEI) pattern and selecting for trait stability. Obtaining trait stability is costly, as it requires data from multiple environments. There are few studies that evaluate the efficacy of GS for predicting trait stability. A soft winter wheat population of 273 lines was genotyped with 90 K single nucleotide polymorphism markers and phenotyped for four agronomic and seven quality traits. Additive main effect and multiplicative interaction (AMMI) model and Eberhart and Russell regression (ERR) were used to estimate trait stability. Significant GEI variation was observed and stable lines were identified for all traits in this study. The accuracy of GS ranged from 0.33 to 0.67 for most traits and trait stability. Accuracy of trait stability was greater than trait itself for yield (0.44 using AMMI versus 0.33) and heading date (0.65 using ERR versus 0.56). The opposite trend was observed for the other traits. GS did not predict the stability of the quality traits except for flour protein, lactic acid and softness equivalent. Significant GS accuracy for some trait stability indicated that stability was under genetic control for these traits. The magnitude of GS accuracies for all the traits and most of the trait stability index suggests the possibility of rapid selection for these trait and trait stability in wheat breeding.
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Affiliation(s)
- Mao Huang
- Ohio Agriculture Research and Development Center, The Ohio State University, 1680 Madison Ave., Wooster, OH, 44691, USA
| | - Antonio Cabrera
- Ohio Agriculture Research and Development Center, The Ohio State University, 1680 Madison Ave., Wooster, OH, 44691, USA
| | - Amber Hoffstetter
- Ohio Agriculture Research and Development Center, The Ohio State University, 1680 Madison Ave., Wooster, OH, 44691, USA
| | - Carl Griffey
- University of Virginia Tech, 185 Ag Quad Lane, Blacksburg, VA, 24061, USA
| | - David Van Sanford
- University of Kentucky, 1405 Veterans Drive, Lexington, KY, 40546, USA
| | | | | | - Shiaoman Chao
- Cereal Crops Research Unit, USDA-ARS, Fargo, ND, 58102, USA
| | - Clay Sneller
- Ohio Agriculture Research and Development Center, The Ohio State University, 1680 Madison Ave., Wooster, OH, 44691, USA.
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Cabrera A, Guttieri M, Smith N, Souza E, Sturbaum A, Hua D, Griffey C, Barnett M, Murphy P, Ohm H, Uphaus J, Sorrells M, Heffner E, Brown-Guedira G, Van Sanford D, Sneller C. Identification of milling and baking quality QTL in multiple soft wheat mapping populations. Theor Appl Genet 2015; 128:2227-2242. [PMID: 26188588 DOI: 10.1007/s00122-015-2580-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 07/07/2015] [Indexed: 06/04/2023]
Abstract
Two mapping approaches were use to identify and validate milling and baking quality QTL in soft wheat. Two LG were consistently found important for multiple traits and we recommend the use marker-assisted selection on specific markers reported here. Wheat-derived food products require a range of characteristics. Identification and understanding of the genetic components controlling end-use quality of wheat is important for crop improvement. We assessed the underlying genetics controlling specific milling and baking quality parameters of soft wheat including flour yield, softness equivalent, flour protein, sucrose, sodium carbonate, water absorption and lactic acid, solvent retention capacities in a diversity panel and five bi-parental mapping populations. The populations were genotyped with SSR and DArT markers, with markers specific for the 1BL.1RS translocation and sucrose synthase gene. Association analysis and composite interval mapping were performed to identify quantitative trait loci (QTL). High heritability was observed for each of the traits evaluated, trait correlations were consistent over populations, and transgressive segregants were common in all bi-parental populations. A total of 26 regions were identified as potential QTL in the diversity panel and 74 QTL were identified across all five bi-parental mapping populations. Collinearity of QTL from chromosomes 1B and 2B was observed across mapping populations and was consistent with results from the association analysis in the diversity panel. Multiple regression analysis showed the importance of the two 1B and 2B regions and marker-assisted selection for the favorable alleles at these regions should improve quality.
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Affiliation(s)
- Antonio Cabrera
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA.
| | - Mary Guttieri
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Kein Hall, Lincoln, NE, 68583-0915, USA
| | - Nathan Smith
- BHN Research, P. O. Box 3267, Immokalee, FL, 34143, USA
| | - Edward Souza
- Bayer Crop Science LP, 202 Keim Hall, Lincoln, NE, USA
| | - Anne Sturbaum
- Soft Wheat Quality Laboratory, USDA Agricultural Research Service, Wooster, OH, 44691, USA
| | - Duc Hua
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA
| | - Carl Griffey
- Department of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute, State University, Blacksburg, VA, 24061, USA
| | - Marla Barnett
- Limagrain Cereal Seeds LLC, 6414 N Sheridian, Wichita, KS, 67204, USA
| | - Paul Murphy
- Department of Crop Science, North Carolina State University, Campus Box 7620, Raleigh, NC, 27695-7620, USA
| | - Herb Ohm
- Department of Agronomy, Purdue University, 915 West State Street, West Lafayette, IN, 47907, USA
| | - Jim Uphaus
- Pioneer HiBreed International, INC., Windfall, IN, USA
| | - Mark Sorrells
- Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Elliot Heffner
- DuPont Pioneer Hi Bred International Inc, Des Moines, IA, 50316, USA
| | | | - David Van Sanford
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY, 40546, USA
| | - Clay Sneller
- Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA.
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Liu S, Griffey CA, Hall MD, McKendry AL, Chen J, Brooks WS, Brown-Guedira G, Van Sanford D, Schmale DG. Molecular characterization of field resistance to Fusarium head blight in two US soft red winter wheat cultivars. Theor Appl Genet 2013; 126:2485-98. [PMID: 23832049 PMCID: PMC3782633 DOI: 10.1007/s00122-013-2149-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2011] [Accepted: 06/18/2013] [Indexed: 05/21/2023]
Abstract
In the soft red winter wheat (Triticum aestivum L.) regions of the US, Fusarium head blight (FHB, caused by Fusarium spp.) resistance derived from locally adapted germplasm has been used predominantly. Two soft red winter wheat cultivars, Massey and Ernie, have moderate resistance to FHB. Mapping populations derived from Becker/Massey (B/M) and Ernie/MO 94-317 (E/MO) were evaluated for FHB resistance and other traits in multiple environments. Eight QTL in B/M and five QTL in E/MO were associated with FHB variables including incidence, severity (SEV), index (IND), Fusarium damaged kernels (FDK), deoxynivalenol (DON), and morphological traits flowering time and plant height. Four QTL were common to both populations. Three of them were located at or near known genes: Ppd-D1 on chromosome 2DS, Rht-B1 on 4BS, and Rht-D1 on 4DS. Alleles for dwarf plant height (Rht-B1b and Rht-D1b) and photoperiod insensitivity (Ppd-D1a) had pleiotropic effects in reducing height and increasing FHB susceptibility. The other QTL detected for FHB variables were on 3BL in both populations, 1AS, 1DS, 2BL, and 4DL in B/M, and 5AL (B1) and 6AL in E/MO. The additive effects of FHB variables ranged from 0.4 mg kg(-1) of DON to 6.2 % for greenhouse (GH) SEV in B/M and ranged from 0.3 mg kg(-1) of DON to 8.3 % for GH SEV in E/MO. The 4DS QTL had epistasis with Ppd-D1, Qdon.umc-6AL, and Qht.umc-4BS, and additive × additive × environment interactions with the 4BS QTL for SEV, IND, and FDK in E/MO. Marker-assisted selection might be used to enhance FHB resistance through selection of favorable alleles of significant QTL, taking into account genotypes at Rht-B1b, Rht-D1a and Ppd-D1a.
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Affiliation(s)
- Shuyu Liu
- Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24060 USA
- Present Address: Texas A&M AgriLife Research and Extension Center, Texas A&M University System, 6500 Amarillo Blvd W., Amarillo, TX 79106 USA
| | - Carl A. Griffey
- Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24060 USA
| | - Marla D. Hall
- Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24060 USA
- Present Address: Limagrain Cereal Seeds, 6414 N. Sheridan, Wichita, KS 67204 USA
| | - Anne L. McKendry
- Department of Plant Science, University of Missouri, Columbia, MO 65201 USA
| | - Jianli Chen
- Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24060 USA
- Present Address: Department of Agronomy, University of Idaho Aberdeen Research and Extension Center, Aberdeen, ID 83210 USA
| | - Wynse S. Brooks
- Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24060 USA
| | - Gina Brown-Guedira
- Eastern Regional Small Grains Genotyping Lab, USDA-ARS, Raleigh, NC 27695 USA
| | - David Van Sanford
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546 USA
| | - David G. Schmale
- Department of Plant Pathology, Physiology and Weed Science, Virginia Tech, Blacksburg, VA 24060 USA
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