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Detection of exotic QTLs controlling nitrogen stress tolerance among wild barley introgression lines

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Abstract

Nitrogen (N) is one of the most important plant nutrients, controlling growth and, ultimately, yield of a cultivar. Hordeum vulgare ssp. spontaneum, the wild barley progenitor of cultivated barley, is known to possess genes that can improve tolerance against biotic and abiotic stresses. A quantitative trait locus (QTL) study with two levels of N fertilization was conducted under glasshouse in order to locate wild barley alleles that improve N stress tolerance in the genetic background of an elite barley cultivar. For this, a set of 28 barley introgression lines (S42ILs), which originate from the cross ‘Scarlett’ × ‘ISR42-8’, was studied. The S42ILs, containing single or multiple wild barley introgressions, and ‘Scarlett’ were evaluated in regard to a total of 15 traits, related to morphological parameters, grain parameters as well as to carbon (C) and N content parameters. A mixed model analysis and a subsequent Dunnett test was conducted to identify S42ILs that significantly deviate from the recurrent parent ‘Scarlett’, either tested separately for each N level, or simultaneously across both N levels. In total, 65 QTLs were detected for the S42IL set. Most QTLs were found for chlorophyll content during heading (10 QTLs) and the fewest for C/N ratio of straw (1 QTL). The individual S42ILs possessed different numbers of QTLs. For S42IL-108, a maximum of eight QTLs were found whereas S42IL-145 did not show any significant difference from ‘Scarlett’. Wild barley alleles revealed decreasing effects at 32 QTLs and increasing effects at 33 QTLs. Although 25 QTLs exhibited similar effects across both N levels, 18 and 22 QTLs exhibited effects that were only detected under N0 or N1, respectively. We, thus, conclude that it may be worth to select improved barley cultivars for N stress tolerance separately under low N fertilization, rather than extrapolating trait performances from experiments carried out under standard N fertilization conditions. A number of wild barley QTL alleles improved N stress tolerance. For example, a wild barley QTL allele on chromosome 4H, present in the Hsp introgression of S42IL-119, was associated with a 13.0 % increase of thousand grain weight across both N levels and a 20 % increase under low N supply. QTLs detected in the present study were compared with those of previous field studies of the same cross and with other QTL studies in barley and other small grains. Accordance between QTL studies (QTLs showing similar effects at the same map location) is documented and discussed. Based on our study, promising wild barley QTL alleles are available in S42ILs, which can be readily utilized to select for improved N use efficiency in barley breeding.

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References

  • Agrama HAS, Zakaria AG, Said FB, Tuinstra M (1999) Identification of quantitative trait loci for nitrogen use efficiency in maize. Mol Breed 5:187–195

    Article  Google Scholar 

  • An D, Su J, Liu Q, Zhu Y, Tong Y, Li J, Jing R, Li B, Li Z (2006) Mapping QTLs for nitrogen uptake in relation to the early growth of wheat (Triticum aestivum L.). Plant Soil 284:73–84

    Article  CAS  Google Scholar 

  • Avila C, Márquez AJ, Pajuelo P, Cannell ME, Wallsgrove RM, Forde BG (1993) Cloning and sequence analysis of a cDNA for barley ferredoxin-dependent glutamate synthase and molecular analysis of photorespiratory mutants deficient in the enzyme. Planta 189:475–483

    Article  PubMed  CAS  Google Scholar 

  • Baethgen WE, Christianson CB, Lamothe AG (1995) Nitrogen fertilizer effects on growth, grain yield, and yield components of malting barley. Field Crop Res 43:87–99

    Article  Google Scholar 

  • Bänziger M, Lafitte HR (1997) Efficiency of secondary traits for improving maize for low-nitrogen target environments. Crop Sci 37:1110–1117

    Article  Google Scholar 

  • Bänziger M, Bétran FJ, Lafitte HR (1997) Efficiency of high-nitrogen selection environments for improving maize for low-nitrogen target environments. Crop Sci 37:1103–1109

    Article  Google Scholar 

  • Bänziger M, Worku M, Erley GSA, Friesen D, Diallo AO, Horst WJ (2007) Nitrogen uptake and utilization in contrasting nitrogen efficient tropical maize hybrids. Crop Sci 47:519–528

    Article  Google Scholar 

  • Baum M, Grando S, Backes G, Jahoor A, Sabbagh A, Ceccarelli S (2003) QTLs for agronomic traits in the Mediterranean environment identified in recombinant inbred lines of the cross ‘Arta’ × H. spontaneum 41–1. Theor Appl Genet 107:1215–1225

    Article  PubMed  CAS  Google Scholar 

  • Becker H (2011) Pflanzenzüchtung. Verlag Eugen Ulmer, Stuttgart

    Google Scholar 

  • Bernard SM, Habash DZ (2009) The importance of cytosolic glutamine synthetase in nitrogen assimilation and recycling. New Phytol 182:608–620

    Article  PubMed  CAS  Google Scholar 

  • Bertin P, Gallais A (2001) Genetic variation for nitrogen use efficiency in a set of recombinant inbred lines II—QTL detection and coincidences. Maydica 46:53–68

    Google Scholar 

  • Bezant J, Laurie D, Pratchett N, Chojecki J, Kearsey M (1997a) Mapping QTL controlling yield and yield components in a spring barley (Hordeum vulgare L.) cross using marker regression. Mol Breed 3:29–38

    Article  CAS  Google Scholar 

  • Bezant JH, Laurie DA, Pratchett N, Chojecki J, Kearsey MJ (1997b) Mapping of QTL controlling NIR predicted hot water extract and grain nitrogen content in a spring barley cross using marker-regression. Plant Breed 116:141–145

    Article  CAS  Google Scholar 

  • Brancourt-Hulmel M, Heumez E, Pluchard P, Beghin D, Depatureaux C, Giraud A, Le Gouis J (2005) Indirect versus direct selection of winter wheat for low-input or high-input levels. Crop Sci 45:1427–1431

    Article  Google Scholar 

  • Breseghello F, Sorrells ME (2007) QTL analysis of kernel size and shape in two hexaploid wheat mapping populations. Field Crop Res 101:172–179

    Article  Google Scholar 

  • Buck-Sorlin GH (2002) The search for QTL in barley (Hordeum vulgare L.) using a new mapping population. Cell Mol Biol Lett 7:523–535

    PubMed  CAS  Google Scholar 

  • Close T, Bhat P, Lonardi S, Wu Y, Rostoks N, Ramsay L, Druka A, Stein N, Svensson J, Wanamaker S, Bozdag S, Roose M, Moscou M, Chao S, Varshney R, Szücs P, Sato K, Hayes P, Matthews D, Kleinhofs A, Muehlbauer G, DeYoung J, Marshall D, Madishetty K, Fenton R, Condamine P, Graner A, Waugh R (2009) Development and implementation of high-throughput SNP genotyping in barley. BMC Genomics 10:582

    Article  PubMed  Google Scholar 

  • Collard BCY, Mackill DJ (2008) Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos Trans R Soc B 363:557–572

    Article  CAS  Google Scholar 

  • Coque M, Gallais A (2006) Genomic regions involved in response to grain yield selection at high and low nitrogen fertilization in maize. Theor Appl Genet 112:1205–1220

    Article  PubMed  CAS  Google Scholar 

  • Coque M, Martin A, Veyrieras J, Hirel B, Gallais A (2008) Genetic variation for N-remobilization and postsilking N-uptake in a set of maize recombinant inbred lines. 3. QTL detection and coincidences. Theor Appl Genet 117:729–747

    Article  PubMed  CAS  Google Scholar 

  • Coventry SJ, Barr AR, Eglinton JK, McDonald GK (2003) The determinants and genome locations influencing grain weight and size in barley (Hordeum vulgare L.). Aust J Agric Res 54:1103–1115

    Article  CAS  Google Scholar 

  • Cuesta-Marcos A, Casas AM, Hayes PM, Gracia MP, Lasa JM, Ciudad F, Codesal P, Molina-Cano JL, Igartua E (2009) Yield QTL affected by heading date in Mediterranean grown barley. Plant Breed 128:46–53

    Article  CAS  Google Scholar 

  • Debaeke P, Rouet P, Justes E (2006) Relationship between the normalized SPAD index and the nitrogen nutrition index: application to durum wheat. J Plant Nutr 29:75–92

    Article  CAS  Google Scholar 

  • Distelfeld A, Korol A, Dubcovsky J, Uauy C, Blake T, Fahima T (2008) Colinearity between the barley grain protein content (GPC) QTL on chromosome arm 6HS and the wheat Gpc-B1 region. Mol Breed 22:25–38

    Article  CAS  Google Scholar 

  • Dunford RP, Griffiths S, Christodoulou V, Laurie DA (2005) Characterisation of a barley (Hordeum vulgare L.) homologue of the Arabidopsis flowering time regulator GIGANTEA. Theor Appl Genet 110:925–931

    Article  PubMed  CAS  Google Scholar 

  • Dunnett CW (1955) A multiple comparison procedure for comparing several treatments with a control. J Am Stat Assoc 50:1096–1121

    Article  Google Scholar 

  • Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q (2006) GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet 112:1164–1171

    Article  PubMed  CAS  Google Scholar 

  • Faure S, Higgins J, Turner A, Laurie DA (2007) The FLOWERING LOCUS T-like gene family in Barley (Hordeum vulgare). Genetics 176:599–609

    Article  PubMed  CAS  Google Scholar 

  • García-Suárez J, Röder M, Díaz de León J (2010) Identification of QTLs and associated molecular markers of agronomic traits in wheat (Triticum aestivum L.) under two conditions of nitrogen fertilization. Cereal Res Commun 38:459–470

    Article  Google Scholar 

  • Gegas VC, Nazari A, Griffiths S, Simmonds J, Fish L, Orford S, Sayers L, Doonan JH, Snape JW (2010) A genetic framework for grain size and shape variation in wheat. Plant Cell 22:1046–1056

    Article  PubMed  CAS  Google Scholar 

  • Good AG, Beatty PH (2011) Fertilizing nature: a tragedy of excess in the commons. PLoS Biol 9(8):e1001124. doi:10.1371/journal.pbio.1001124

    Article  PubMed  CAS  Google Scholar 

  • Grando S, Baum M, Ceccarelli S, Goodchild A, El-Haramein FJ, Jahoor A, Backes G (2005) QTLs for straw quality characteristics identified in recombinant inbred lines of a Hordeum vulgare × H. spontaneum cross in a Mediterranean environment. Theor App Genet 110:688–695

    Article  CAS  Google Scholar 

  • Griffiths S, Dunford RP, Coupland G, Laurie DA (2003) The evolution of CONSTANS-like gene families in barley, rice, and Arabidopsis. Plant Physiol 131:1855–1867

    Article  PubMed  CAS  Google Scholar 

  • Guo P, Baum M, Varshney R, Graner A, Grando S, Ceccarelli S (2008) QTLs for chlorophyll and chlorophyll fluorescence parameters in barley under post-flowering drought. Euphytica 163:203–214

    Article  CAS  Google Scholar 

  • Habash DZ, Bernard S, Schondelmaier J, Weyen J, Quarrie SA (2007) The genetics of nitrogen use in hexaploid wheat: N utilisation, development and yield. Theor Appl Genet 114:403–419

    Article  PubMed  CAS  Google Scholar 

  • Hirel B, Bertin P, Quillere I, Bourdoncle W, Attagnant C, Dellay C, Gouy A, Cadiou S, Retailliau C, Falque M, Gallais A (2001) Towards a better understanding of the genetic and physiological basis for nitrogen use efficiency in maize. Plant Physiol 125:1258–1270

    Article  PubMed  CAS  Google Scholar 

  • Hirel B, Le Gouis J, Ney B, Gallais A (2007) The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. J Exp Bot 58:2369–2387

    Article  PubMed  CAS  Google Scholar 

  • Kjær B, Jensen J (1995) The inheritance of nitrogen and phosphorus content in barley analysed by genetic markers. Hereditas 123:109–119

    Article  Google Scholar 

  • Lakew B, Henry RJ, Ceccarelli S, Grando S, Eglinton J, Baum M (2012) Association analysis of yield and drought related traits in Hordeum spontaneum introgression lines using SSR and SNP markers. Euphytica. doi:10.1007/s10681-012-0674-4

    Google Scholar 

  • Laperche A, Devienne-Barret F, Maury O, Le Gouis J, Ney B (2006) A simplified conceptual model of carbon/nitrogen functioning for QTL analysis of winter wheat adaptation to nitrogen deficiency. Theor Appl Genet 113:1131–1146

    Article  PubMed  CAS  Google Scholar 

  • Laperche A, Brancourt-Hulmel M, Heumez E, Gardet O, Hanocq E, Devienne-Barret F, Le Gouis J (2007) Using genotype × nitrogen interaction variables to evaluate the QTL involved in wheat tolerance to nitrogen constraints. Theor Appl Genet 115:399–415

    Article  PubMed  CAS  Google Scholar 

  • Laurie DA, Pratchett N, Bezant JH, Snape JW (1994) Genetic analysis of a photoperiod response gene on the short arm of chromosome 2(2H) of Hordeum vulgare (barley). Heredity 72:619–627

    Article  CAS  Google Scholar 

  • Laurie DA, Pratchett N, Bezant JH, Snape JW (1995) RFLP mapping of 5 major genes and 8 quantitative trait loci controlling flowering time in a winter × spring barley (Hordeum vulgare L.) cross. Genome 38:575–585

    Article  PubMed  CAS  Google Scholar 

  • Masclaux-Daubresse C, Daniel-Vedele F, Dechorgnat J, Chardon F, Gaufichon L, Suzuki A (2010) Nitrogen uptake, assimilation and remobilization in plants: challenges for sustainable and productive agriculture. Ann Bot 105:1141–1157

    Article  PubMed  Google Scholar 

  • Moll RH, Kamprath EJ, Jackson WA (1982) Analysis and interpretation of factors which contribute to efficiency of nitrogen utilization. Agron J 74:562–564

    Article  Google Scholar 

  • Montemurro F, Maiorana A, Ferri D, Convertini G (2006) Nitrogen indicators, uptake and utilization efficiency in a maize and barley rotation cropped at different levels and sources of N fertilization. Field Crop Res 99:114–124

    Article  Google Scholar 

  • Murphy KM, Campbell KG, Lyon SR, Jones SS (2007) Evidence of varietal adaptation to organic farming systems. Field Crops Res 102:172–177

    Article  Google Scholar 

  • Obara M, Sato T, Sasaki S, Kashiba K, Nagano A, Nakamura I, Ebitani T, Yano M, Yamaya T (2004) Identification and characterization of a QTL on chromosome 2 for cytosolic glutamine synthetase content and panicle number in rice. Theor Appl Genet 110:1–11

    Article  PubMed  CAS  Google Scholar 

  • Obara M, Takeda T, Hayakawa T, Yamaya T (2011) Mapping quantitative trait loci controlling root length in rice seedlings grown with low or sufficient supply using backcross recombinant lines derived from a cross between Oryza sativa L. and Oryza glaberrima Steud. Soil Sci Plant Nutr 57:80–92

    Article  CAS  Google Scholar 

  • Pillen K, Zacharias A, Léon J (2003) Advanced backcross QTL analysis in barley (Hordeum vulgare L.). Theor Appl Genet 107:340–352

    Article  PubMed  CAS  Google Scholar 

  • Pillen K, Zacharias A, Léon J (2004) Comparative AB-QTL analysis in barley using a single exotic donor of Hordeum vulgare ssp. spontaneum. Theor Appl Genet 108:1591–1601

    Article  PubMed  CAS  Google Scholar 

  • Quarrie SA, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C, Steele N, Pljevljakusić D, Waterman E, Weyen J, Schondelmaier J, Habash DZ, Farmer P, Saker L, Clarkson DT, Abugalieva A, Yessimbekova M, Turuspekov Y, Abugalieva S, Tuberosa R, Sanguineti MC, Hollington PA, Aragués R, Royo A, Dodig D (2005) A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its use to compare QTLs for grain yield across a range of environments. Theor Appl Genet 110:865–880

    Article  PubMed  CAS  Google Scholar 

  • Reinertsen SA, Elliott LF, Cochran VL, Campbell GS (1984) Role of available carbon and nitrogen in determining the rate of wheat straw decomposition. Soil Biol Biochem 16:459–464

    Article  CAS  Google Scholar 

  • Ribaut JM, Fracheboud Y, Monneveux P, Banziger M, Vargas M, Jiang CJ (2007) Quantitative trait loci for yield and correlated traits under high and low soil nitrogen conditions in tropical maize. Mol Breed 20:15–29

    Article  CAS  Google Scholar 

  • Saal B, von Korff M, Léon J, Pillen K (2011) Advanced-backcross QTL analysis in spring barley: iv. Localization of QTL × nitrogen interaction effects for yield-related traits. Euphytica 177:223–239

    Article  Google Scholar 

  • SAS Institute (2008) The SAS enterprise guide for windows, release 4.2. SAS Institute, Cary

    Google Scholar 

  • Schmalenbach I, Pillen K (2009) Detection and verification of malting quality QTLs using wild barley introgression lines. Theor Appl Genet 118:1411–1427

    Article  PubMed  Google Scholar 

  • Schmalenbach I, Körber N, Pillen K (2008) Selecting a set of wild barley introgression lines and verification of QTL effects for resistance to powdery mildew and leaf rust. Theor Appl Genet 117:1093–1106

    Article  PubMed  Google Scholar 

  • Schmalenbach I, Léon J, Pillen K (2009) Identification and verification of QTLs for agronomic traits using wild barley introgression lines. Theor Appl Genet 118:483–497

    Article  PubMed  CAS  Google Scholar 

  • Schmalenbach I, March TJ, Bringezu T, Waugh R, Pillen K (2011) High-resolution genotyping of wild barley introgression lines and fine-mapping of the threshability locus thresh-1 using the illumina goldengate assay. G3 Genes Genomes Genet 1:187–196

    CAS  Google Scholar 

  • See D, Kanazin V, Kephart K, Blake T (2002) Mapping genes controlling variation in barley grain protein concentration. Crop Sci 42:680–685

    Article  CAS  Google Scholar 

  • Seebauer JR, Singletary GW, Krumpelman PM, Ruffo ML, Below FE (2010) Relationship of source and sink in determining kernel composition of maize. J Exp Bot 61:511–519

    Article  PubMed  CAS  Google Scholar 

  • Sun X-Y, Wu K, Zhao Y, Kong F-M, Han G-Z, Jiang H-M, Huang X-J, Li R-J, Wang H-G, Li S-S (2009) QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165:615–624

    Article  CAS  Google Scholar 

  • Tanksley SD, McCouch SR (1997) Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277:1063–1066

    Article  PubMed  CAS  Google Scholar 

  • Tanksley SD, Nelson JC (1996) Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet 92:191–203

    Article  Google Scholar 

  • Teulat B, Merah O, Souyris I, This D (2001) QTLs for agronomic traits from a Mediterranean barley progeny grown in several environments. Theor Appl Genet 103:774–787

    Article  CAS  Google Scholar 

  • This D, Borries C, Souyris I, Teulat B (2000) QTL study of chlorophyll content as a genetic parameter of drought tolerance in barley. Barley Genet Newsl 30:20–23

    Google Scholar 

  • Turner A, Beales J, Faure S, Dunford RP, Laurie DA (2005) The pseudo-response regulator Ppd-H1 provides adaptation to photoperiod in barley. Science 310:1031–1034

    Article  PubMed  CAS  Google Scholar 

  • Uauy C, Brevis JC, Dubcovsky J (2006a) The high grain protein content gene Gpc-B1 accelerates senescence and has pleiotropic effects on protein content in wheat. J Exp Bot 57:2785–2794

    Article  PubMed  CAS  Google Scholar 

  • Uauy C, Distelfeld A, Fahima T, Blechl A, Dubcovsky J (2006b) A NAC gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science 314:1298–1301

    Article  PubMed  CAS  Google Scholar 

  • von Korff M, Wang H, Léon J, Pillen K (2004) Development of candidate introgression lines using an exotic barley accession (Hordeum vulgare ssp. spontaneum) as donor. Theor Appl Genet 109:1736–1745

    Article  CAS  Google Scholar 

  • von Korff M, Wang H, Léon J, Pillen K (2005) AB-QTL analysis in spring barley: i. Detection of resistance genes against powdery mildew, leaf rust and scald introgressed from wild barley. Theor Appl Genet 111:583–590

    Article  Google Scholar 

  • von Korff M, Wang H, Léon J, Pillen K (2006) AB-QTL analysis in spring barley: ii. Detection of favourable exotic alleles for agronomic traits introgressed from wild barley (H. vulgare ssp. spontaneum). Theor Appl Genet 112:1221–1231

    Article  Google Scholar 

  • von Korff M, Wang H, Léon J, Pillen K (2008) AB-QTL analysis in spring barley: iii. Identification of exotic alleles for the improvement of malting quality in spring barley (H. vulgare ssp. spontaneum). Mol Breed 21:81–93

    Article  Google Scholar 

  • von Korff M, Léon J, Pillen K (2010) Detection of epistatic interactions between exotic alleles introgressed from wild barley (Hordeum vulgare ssp. spontaneum). Theor Appl Genet 121:1455–1464

    Article  Google Scholar 

  • Wan X, Weng J, Zhai H, Wang J, Lei C, Liu X, Guo T, Jiang L, Su N, Wan J (2008) Quantitative trait loci (QTL) analysis for rice grain width and fine mapping of an identified qtl allele gw-5 in a recombination hotspot region on chromosome 5. Genetics 179:2239–2252

    Article  PubMed  CAS  Google Scholar 

  • Wang G, Schmalenbach I, von Korff M, Léon J, Kilian B, Rode J, Pillen K (2010) Association of barley photoperiod and vernalization genes with QTLs for flowering time and agronomic traits in a BC2DH population and a set of wild barley introgression lines. Theor Appl Genet 120:1559–1574

    Article  PubMed  Google Scholar 

  • Wienhold BJ, Krupinsky JM (1999) Chlorophyll meter as nitrogen management tool in malting barley. Commun Soil Sci Plant 30:2551–2562

    Article  CAS  Google Scholar 

  • Xue DW, Chen MC, Zhou MX, Chen S, Mao Y, Zhang GP (2008) QTL analysis of flag leaf in barley (Hordeum vulgare L.) for morphological traits and chlorophyll content. J Zhejiang Univ-Sci B 9:938–943

    Article  PubMed  Google Scholar 

  • Zadoks JC, Chang TT, Konkak CF (1974) A decimal code for the growth stages of cereals. Weed Res 14(415):421

    Google Scholar 

  • Zamir D (2001) Improving plant breeding with exotic genetic libraries. Nat Rev Genet 2:983–989

    Article  PubMed  CAS  Google Scholar 

  • Zheng TQ, Xu JL, Li ZK, Zhai HQ, Wan JM (2007) Genomic regions associated with milling quality and grain shape identified in a set of random introgression lines of rice (Oryza sativa L.). Plant Breed 126:158–163

    Article  CAS  Google Scholar 

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Acknowledgments

We thank Sebastian Albrecht, Steve Babben, Yvonne Frohl, Eva Geist, Christiane Kosellek, Bernd Kollmorgen and Brigitte Schröder for valuable assistance with glasshouse experiments and C/N measurements and Dr. Heidrun Beschow for providing the C/N analyzer. This work was funded by the Deutsche Forschungsgemeinschaft (DFG; project Pi339/5-1) as part of the European Research Area in Plant Genomics (ERANET-PG) initiative (project 061).

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  1. Institute of Agricultural and Nutritional Sciences, Martin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany

    Florian Schnaithmann & Klaus Pillen

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Correspondence to Klaus Pillen.

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Schnaithmann, F., Pillen, K. Detection of exotic QTLs controlling nitrogen stress tolerance among wild barley introgression lines. Euphytica 189, 67–88 (2013). https://doi.org/10.1007/s10681-012-0711-3

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