Skip to main content
Log in

Kernel weight per spike: what contributes to it at the individual QTL level?

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

Spike length (SL), spikelet number (SPN) per spike, kernel number per spike (KNPS), and thousand-kernel weight (TKW) have strong genetic associations with kernel weight per spike (KWPS) in wheat. To investigate their genetic relationships at the individual quantitative trait locus (QTL) level, both unconditional and conditional QTL mapping for KWPS with respect to SL, SPN, KNPS, and TKW were conducted. Two related F8:9 recombinant inbred line populations, comprising 485 and 229 lines, respectively, were used. The trait phenotypic performances of each population were evaluated in four different environments. Unconditional QTL mapping analysis identified 22 putative additive QTL for KWPS, five of which were stable QTL, and only QKwps-WJ-1B.2 showed significant additive-by-environment interaction effects. In comparison with unconditional QTL mapping analysis, conditional QTL mapping analysis indicated that, at the QTL level, KNPS and TKW contributed more to KWPS than did SL and SPN. Any unconditional QTL for KWPS detected in this study was associated with at least one of its four related traits. The present study will provide assistance in the understanding of the genetic relationships between KWPS and its related traits.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

KWPS :

Kernel weight per spike

KWPSRTs :

Kernel weight per spike related traits

SL :

Spike length

SPN :

Spikelet number per spike

KNPS :

Kernel number per spike

TKW :

Thousand-kernel weight

WJ :

Recombinant inbred line population derived from the cross between Weimai 8 and Jimai 20

WY :

Recombinant inbred line population derived from the cross between Weimai 8 and Yannong 19

References

  • Böner A, Schumann E, Fürste A, Cöter H, Leithold B, Röder MS, Weber WE (2002) Mapping of quantitative trait locus determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet 105:921–936

    Article  Google Scholar 

  • Campbell KG, Bergmem CJ, Gualberto DG, Anderson JA, Giroux MJ, Hareland G, Fulcher RG, Sorrells ME, Finney PL (1999) Quantitative trait loci associated with kernel traits in a soft × hard wheat cross. Crop Sci 39:1184–1195

    Article  CAS  Google Scholar 

  • Cui F, Ding AM, Li J, Zhao CH, Li XF, Feng DS, Wang XQ, Wang L, Gao JR, Wang HG (2011a) Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL? J Genet 90:409–425

    Article  PubMed  Google Scholar 

  • Cui F, Li J, Ding AM, Zhao CH, Wang L, Wang XQ, Li SS, Bao YG, Li XF, Feng DS, Kong LR, Wang HG (2011b) Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet 122:1517–1536

    Article  PubMed  Google Scholar 

  • Cui F, Ding AM, Li J, Zhao CH, Wang L, Wang XQ, Qi XL, Li XF, Li GY, Gao JR, Wang HG (2012) QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations. Euphytica 186:177–192

    Article  Google Scholar 

  • Cuthbert JL, Somers DJ, Brûlé-Babel AL, Brown PD, Crow GH (2008) Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.). Theor Appl Genet 117:595–608

    Article  PubMed  CAS  Google Scholar 

  • Golabadi M, Arzani A, Mirmohammadi-Maibody SAM, Sayed-Tabatabaei BE, Mohammadi SA (2010) Identification of microsatellite markers linked with yield components under drought stress at terminal growth stages in durum wheat. Euphytica 177:207–221

    Article  Google Scholar 

  • Guo LB, Xing YZ, Mei HW, Xu CG, Shi CH, Wu P, Luo LJ (2005) Dissection of component QTL expression in yield formation in rice. Plant Breed 124:127–132

    Article  CAS  Google Scholar 

  • Hai L, Guo HJ, Wagner C, Xiao SH (2008) Genomic regions for yield and yield parameters in Chinese winter wheat (Triticum aestivum L.) genotypes tested under varying environments correspond to QTL in widely different wheat materials. Plant Sci 175:226–232

    Article  CAS  Google Scholar 

  • Heidari B, Sayed-Tabatabaei EB, Saeidi G, Kearsey M, Suenaga K (2011) Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat. Genome 54:517–527

    Article  PubMed  Google Scholar 

  • Huang XQ, Kempf H, Ganal MW, Röder MS (2004) Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L). Theor Appl Genet 109:933–943

    Article  PubMed  CAS  Google Scholar 

  • Johnson EB, Nalam VJ, Zemetra RS, Riera-Lizarazu O (2008) Mapping the compactum locus in wheat (Triticum aestivum L.) and its relationship to other spike morphology genes of the Triticeae. Euphytica 163:193–201

    Article  Google Scholar 

  • Kato K, Miura H, Sawada S (1999) QTL mapping of genes controlling ear emergence time and plant height on chromosome 5A of wheat. Theor Appl Genet 98:472–477

    Article  CAS  Google Scholar 

  • Kumar N, Kulwal PL, Balyan HS, Gupta PK (2007) QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat. Mol Breed 19:163–177

    Article  Google Scholar 

  • Lander ES, Botstein D (1989) Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199

    PubMed  CAS  Google Scholar 

  • Li SS, Jia JZ, Wei XY, Zhang XC, Li LZ, Chen HM, Fan YD, Sun HY, Zhao XH, Lei TD, Xu YF, Jiang FS, Wang HG, Li LH (2007) A intervarietal genetic map and QTL analysis for yield traits in wheat. Mol Breed 20:167–178

    Article  Google Scholar 

  • Li YL, Dong YB, Cui DQ, Wang YZ, Liu YY, Wei MG, Li XH (2008) The genetic relationship between popping expansion volume and two yield components in popcorn using unconditional and conditional QTL analysis. Euphytica 162:345–351

    Article  Google Scholar 

  • Li J, Cui F, Ding AM, Zhao CH, Wang XQ, Wang L, Bao YG, Qi XL, Li XF, Gao JR, Feng DS, Wang HG (2012) QTL detection of seven quality traits in wheat using two related recombinant inbred line populations. Euphytica 183:207–226

    Article  Google Scholar 

  • Liu SB, Zhou RH, Dong YC, Li P, Jia JZ (2006) Development, utilization of introgression lines using a synthetic wheat as donor. Theor Appl Genet 112:1360–1373

    Article  PubMed  CAS  Google Scholar 

  • Liu GF, Yang J, Xu HM, Hayat Y, Zhu J (2008) Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.). Aust J Agric Res 59:189–195

    Article  CAS  Google Scholar 

  • Ma ZQ, Zhao DM, Zhang CQ, Zhang ZZ, Xue SL, Lin F, Kong ZX, Tian DG, Luo QY (2007) Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol Gen Genomics 277:31–42

    Article  CAS  Google Scholar 

  • Manickavelu A, Kawaura K, Imamura H, Mori M, Ogihara Y (2010) Molecular mapping of quantitative trait locus for domestication traits and b-glucan content in a wheat recombinant inbred line population. Euphytica 177:179–190

    Article  Google Scholar 

  • Marza F, Bai GH, Carver BF, Zhou WC (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112:688–698

    Article  PubMed  CAS  Google Scholar 

  • Mei YJ, Ye ZH, Xu Z (2007) Genetic impacts of fiber sugar content on fiber characters in Sea Island cotton, Gossypium barbadense L. Euphytica 154:29–39

    Article  CAS  Google Scholar 

  • 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 51:421–429

    Article  PubMed  CAS  Google Scholar 

  • Sourdille P, Tixier MH, Charmet G, Gay G, Cadalen T, Bernard S, Bernard M (2000) Location of genes involved in ear compactness in wheat (Triticum aestivum) by means of molecular markers. Mol Breed 6:247–255

    Article  CAS  Google Scholar 

  • Sourdille P, Cadalen T, Guyomarc’h H, Snape JW, Perretant MR, Charmet G, Boeuf C, Bernard S, Bernard M (2003) An update of the Courtot × Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat. Theor Appl Genet 106:530–538

    PubMed  CAS  Google Scholar 

  • Suenaga K, Khairallah M, William HM, Hoisington DA (2005) A new intervarietal linkage map and its application for quantitative trait locus analysis of ‘‘gigas’’ features in bread wheat. Genome 48:65–75

    Article  PubMed  CAS  Google Scholar 

  • Tsilo TJ, Hareland GA, Simsek S, Chao S, Anderson JA (2010) Genome mapping of kernel characteristics in hard red spring wheat breeding lines. Theor Appl Genet 121:717–730

    Article  PubMed  CAS  Google Scholar 

  • Varshney RK, Prasad M, Roy JK, Kumar N, Dhaliwal HS, Balyan HS, Gupta PK (2000) Identification of eight chromosomes and a microsatellite marker on 1AS associated with QTLs for grain weight in bread wheat. Theor Appl Genet 100:1290–1294

    Article  CAS  Google Scholar 

  • Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH (2009) QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai × Yu8679. Theor Appl Genet 118:313–325

    Article  PubMed  CAS  Google Scholar 

  • Wang JS, Liu WH, Wang H, Li LH, Wu J, Yan XM, Li XQ, Gao AN (2011) QTL mapping of yield-related traits in the wheat germplasm 3228. Euphytica 177:277–292

    Article  Google Scholar 

  • Wen YX, Zhu J (2005) Multivariable conditional analysis for complex trait and its components. Acta Genet Sin 32:289–296

    PubMed  Google Scholar 

  • Ye ZH, Wang J, Liu Q, Zhang MZ, Zou KQ, Fu XS (2009) Genetic relationships among panicle characteristics of rice (Oryza sativa L.) using unconditional and conditional QTL analyses. J Plant Biol 52:259–267

    Article  CAS  Google Scholar 

  • Zhao JY, Becker HC, Zhang DQ, Zhang YF, Ecke WG (2006) Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield. Theor Appl Genet 113:33–38

    Article  PubMed  CAS  Google Scholar 

  • Zhu J (1992) Mixed model approaches for estimating genetic variance and covariance. J Biomath 7:1–11

    Google Scholar 

  • Zhu J (1995) Analysis of conditional genetic effects and variance components in developmental genetics. Genetics 141:1633–1639

    PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported by the National Natural Science Foundation of China (30971765). The author thanks Dr. Sishen Li, College of Agronomy, Shandong Agricultural University, Tai’an, China, for kindly providing EST-SSR markers. We are also grateful to Dr. Jun Zhu, Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, China, for technical assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Honggang Wang.

Additional information

F. Cui, C. Zhao, J. Li and A. Ding contributed equally to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 204 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cui, F., Zhao, C., Li, J. et al. Kernel weight per spike: what contributes to it at the individual QTL level?. Mol Breeding 31, 265–278 (2013). https://doi.org/10.1007/s11032-012-9786-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11032-012-9786-8

Keywords

Navigation