, 215:11 | Cite as

QTL analysis of wheat kernel traits, and genetic effects of qKW-6A on kernel width

  • Weiguo Chen
  • Daizhen SunEmail author
  • Xue Yan
  • Runzhi Li
  • Shuguang Wang
  • Yugang Shi
  • Ruilian JingEmail author


The three genetic populations used in this study included a doubled-haploid (DH) population derived from ‘Hanxuan 10’ × ‘Lumai 14’, a BC3F6 population from ‘Lumai 14’ × ‘Jing 411’ [introgression line (IL) population 1], and a BC3F6 population from ‘Lumai 14’ × ‘Shaanhan 8675’ (IL population 2). The genetic characters underpinning kernel morphological traits, such as kernel length, kernel width, kernel thickness, kernel length/width ratio, kernel length/thickness ratio, and kernel width/thickness ratio were analyzed. Quantitative trait loci (QTL) for all the above traits were mapped in the three populations across six, three, and three environments, respectively. The genetic effects of qKW-6A, which was detected in all three populations, were analyzed. Forty six additive QTLs for kernel morphological traits were detected in the DH population, and 20 additive QTLs were detected in each of the IL populations. A kernel-width QTL, qKW-6A, was located within the same interval in all three populations. qKT-7A-3, qLTR-4A, and qWTR-7A-1 mapped in the DH population were located in the same marker intervals as qKT-7A-1, qLTR-4A, and qWTR-7A-1, respectively, in IL population 2. qLWR-5A-2, qWTR-5A-2, and qWTR-5A-1 from the DH population were detected in five, four, and three environments, and explained 14.72, 25.11, and 25.91%, respectively, of the phenotypic variation. qLTR-7A from IL population 1 and qLWR-5B from IL population 2, detected in all three environments, explained 6.10 and 10.66% of the phenotypic variation, respectively. On the other hand, negative alleles of qKW-6A for kernel width detected in all three populations were derived from ‘Lumai 14’. Donor segments including this QTL were introgressed into 18 lines of IL population 1 and 44 lines of IL population 2. The mean kernel width in these lines was greater than the recurrent parent ‘Lumai 14’ under drought-stress conditions in 2 years, indicating that qKW-6A played an important role in determination of kernel width. Line 157 from IL population 2 contained only five chromosomal segments from the donor parent, and these donor segments harbored no QTL for kernel width other than qKW-6A. However, kernel width in this line was significantly greater than that of ‘Lumai 14’ in all three environments. Thus, Line 157 can be regarded as a near-isogenic line for fine mapping and map-based cloning of qKW-6A.


Doubled-haploid population Kernel morphology Introgression line population Quantitative trait locus Triticum aestivum 



This work was supported by the National Key R&D Program of China (2017YFD0300202), National Science and Technology Major Projects for Cultivation of New Transgenic Varieties (2018ZX0800917B), National Natural Science Foundation of China (31671607), and Key R&D Program in Shanxi province (201703D211007-6).

Supplementary material

10681_2018_2333_MOESM1_ESM.doc (966 kb)
Supplementary material 1 (DOC 966 kb)


  1. Botwright TL, Condon AG, Rebetzke GJ, Richards RA (2002) Field evaluation of early vigour for genetic improvement of grain yield in wheat. Aust J Agric Res 53:1137–1145CrossRefGoogle Scholar
  2. Breseghello F, Sorrells ME (2006) Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics 172:1165–1177CrossRefGoogle Scholar
  3. Breseghello F, Sorrells ME (2007) QTL analysis of kernel size and shape in two hexaploid wheat mapping populations. Field Crops Res 101:172–179CrossRefGoogle Scholar
  4. Breseghello F, Finney PL, Gaines C, Andres L, Tanaka J, Penner G, Sorrells ME (2005) Genetic loci related to kernel quality differences between a soft and a hard wheat cultivar. Crop Sci 45:1685–1695CrossRefGoogle Scholar
  5. Campbell KG, Bergman CJ, Gualberto DG, Anderson JA, Giroux J, Hareland G, Fulcher RG, Sorrells ME, Finney PL (1999) Quantitative trait loci associated with kernel traits in a soft × hard wheat cross. Crop Sci 39:1184–1195CrossRefGoogle Scholar
  6. Cheng R, Kong Z, Zhang L, Xie Q, Jia H, Yu D, Huang Y, Ma ZQ (2017) Mapping QTLs controlling kernel dimensions in a wheat inter-varietal RIL mapping population. Theor Appl Genet 130:1405–1414CrossRefGoogle Scholar
  7. Cui F, Ding A, Li J, Zhao C, Li X, Feng D, Wang X, Wang L, Gao J, Wang H (2011) Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level? J Genet 90:409–425CrossRefGoogle Scholar
  8. Dholakia BB, Ammiraju JSS, Singh H, Lagu MD, Roder MS, Rao VS, Dhaliwal HS, Ranjekar PK, Gupta VS (2003) Molecular marker analysis of kernel size and shape in bread wheat. Plant Breed 122:392–395CrossRefGoogle Scholar
  9. Dong L, Wang F, Liu T, Dong Z, Li A, Jing R, Mao L, Li Y, Liu X, Zhang K, Wang D (2014) Natural variation of TaGASR7-A1 affects grain length in common wheat under multiple cultivation conditions. Mol Breed 34:937–947CrossRefGoogle Scholar
  10. Farahani HA, Moaveni P, Maroufi K (2011) Effect of seed size on seedling production in wheat (Triticum aestivum L.). Adv Environ Biol 5:1711–1715Google Scholar
  11. Gegas VC, Nazari A, Griffiths S, Simmonds J, Fish L, Orford S, Say-ers L, Doonan JH, Snape JW (2010) A genetic framework for grain size and shape variation in wheat. Plant Cell 22:1046–1056CrossRefGoogle Scholar
  12. Hao Z, Chang X, Guo X, Jing R, Li R, Jia J (2003) QTL mapping for drought tolerance at stages of germination and seedling in wheat (Triticum aestivum L.) using a DH population. Agric Sci China 2:943–949Google Scholar
  13. Huang XQ, Cloutier S, Lyear L, Radovanovic N, Humphreys DG, Noll JS, Somers DJ, Brown PD (2006) Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theor Appl Genet 113:753–766CrossRefGoogle Scholar
  14. Kato K, Miura H, Sawada S (2000) Mapping QTLs controlling grain yield and its components on chromosome 5A of wheat. Theor Appl Genet 101:1114–1121CrossRefGoogle Scholar
  15. Kumar A, Mantovani EE, Seetan R, Soltani A, Echeverry-Solarte M, Jain S, Simsek S, Doehlert D, Alamri MS, Elias EM, Kianian SF, Mergoum M (2016) Dissection of genetic factors underlying wheat kernel shape and size in an elite × nonadapted cross using a high density SNP linkage map. Plant Genome 9:1–22Google Scholar
  16. Li M, Yang R, Li Y, Cui G, Wang Z, Xi Y, Liu S (2012) QTL analysis of kernel characteristics using a recombinant inbred line (RILs) population derived from the cross of Triticum polonicum L. and Triticum aestivum L. line “Zhong 13”. J Triticeae Crops 32:813–819 (in Chinese) Google Scholar
  17. Okamoto Y, Nguyen AT, Yoshioka M, Iehisa JC, Takumi S (2013) Identification of quantitative trait loci controlling grain size and shape in the D genome of synthetic hexaploid wheat lines. Breed Sci 63:423–429CrossRefGoogle Scholar
  18. Olmos S, Distelfeld A, Chicaiza O, Schlatter AR, Fahima T, Echenique V, Dubcovsky J (2003) Precise mapping of a locus affecting grain protein content in durum wheat. Theor Appl Genet 107:1243–1251CrossRefGoogle Scholar
  19. Prashant R, Kadoo N, Desale C, Kore P, Dhaliwal HS, Chhuneja P, Gupta V (2012) Kernel morphometric traits in hexaploid wheat (Triticum aestivum L.) are modulated by intricate QTL × QTL and genotype × environment interactions. J Cereal Sci 56:432–439CrossRefGoogle Scholar
  20. Quarrie SA, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C, Steele N, Pljevljakusic 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, Aragues 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 110:865–880CrossRefGoogle Scholar
  21. Ramya P, Chaubal A, Kulkarni K, Gupta L, Kadoo N, Dhaliwal HS, Chhuneja P, Lagu M, Gupta V (2010) QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.). J Appl Genet 51:421–429CrossRefGoogle Scholar
  22. Russo MA, Ficco DBM, Laidò G, Marone D, Papa R, Blanco A, Gadaleta A, Vita PD, Mastrangelo AM (2014) A dense durum wheat × T. dicoccum linkage map based on SNP markers for the study of seed morphology. Mol Breed 34:1579–1597CrossRefGoogle Scholar
  23. Salina E, Börner A, Leonova I, Korzun V, Laikova L, Maystrenko O, Röder MS (2000) Microsatellite mapping of the induced sphaerococcoid mutation genes in Triticum aestivum. Theor Appl Genet 100:686–689CrossRefGoogle Scholar
  24. Somers DJ, Isaac P, Edwards K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1105–1114CrossRefGoogle Scholar
  25. Su Z, Hao C, Wang L, Dong Y, Zhang X (2011) Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.). Theor Appl Genet 122:211–223CrossRefGoogle Scholar
  26. Sun X, Wu K, Zhao Y, Kong F, Han G, Jiang H, Huang X, Li R, Wang H, Li S (2009) QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165:615–624CrossRefGoogle Scholar
  27. Sun X, Liu T, Ning T, Liu K, Duan X, Wang X, Wang Q, An Y, Guan X, Tian J, Chen J (2018) Genetic dissection of wheat kernel hardness using conditional QTL mapping of kernel size and protein-related traits. Plant Mol Biol Rep 36:1–12CrossRefGoogle Scholar
  28. Tsilo TJ, Hareland GA, Simsek S, Chao SM, Anderson JA (2010) Genome mapping of kernel characteristics in hard red spring wheat breeding lines. Theor Appl Genet 121:717–730CrossRefGoogle Scholar
  29. Tsilo TJ, Hareland GA, Chao S, Anderson JA (2011) Genetic mapping and QTL analysis of flour color and milling yield related traits using recombinant inbred lines in hard red spring wheat. Crop Sci 51:237–246CrossRefGoogle Scholar
  30. Wang R, Zhang X, Wu L, Wang R, Hai L, You G, Yan C, Xiao S (2009) QTL analysis of grain size and related traits in winter wheat under different ecological environments. Sci Agric Sin 42:398–407 (in Chinese) Google Scholar
  31. Williams K, Sorrells ME (2014) Three-Dimensional seed size and shape QTL in hexaploid wheat (Triticum aestivum L.) populations. Crop Sci 54:98–110CrossRefGoogle Scholar
  32. Wu Q, Chen Y, Zhou S, Fu L, Chen J, Xiao Y, Zhang D, Ouyang S, Zhao X, Cui Y, Zhang D, Liang Y, Wang Z, Xie J, Qin J, Wang G, Li D, Huang Y, Yu M, Lu P, Wang L, Wang H, Dang C, Li J, Zhang Y, Peng H, Yuan C, You M, Sun Q, Wang J, Wang L, Luo M, Han J, Liu Z (2015) High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda 1817 × Beinong6. PLoS ONE 10:e0118144CrossRefGoogle Scholar
  33. Xiao Y, He S, Yan J, Zhang Y, Zhang Y, Wu Y, Xia X, Tian J, Ji W, He Z (2011) Molecular mapping of quantitative trait loci for kernel morphology traits in a non-1BL. 1RS × 1BL. 1RS wheat cross. Crop Pasture Sci 62:625–638CrossRefGoogle Scholar
  34. Zhang L, Liu D, Guo X, Yang W, Sun J, Wang D, Zhang A (2010) Genomic distribution of quantitative trait loci for yield and yield-related traits in common wheat. J Integr Plant Biol 62:996–1007CrossRefGoogle Scholar

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.College of AgronomyShanxi Agricultural UniversityTaiguChina
  2. 2.College of Life ScienceShanxi Agricultural UniversityTaiguChina
  3. 3.Institute of Crop ScienceChinese Academy of Agricultural SciencesBeijingChina

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