Theoretical and Applied Genetics

, Volume 122, Issue 8, pp 1517–1536 | Cite as

Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat

  • Fa Cui
  • Jun Li
  • Anming Ding
  • Chunhua Zhao
  • Lin Wang
  • Xiuqin Wang
  • Sishen Li
  • Yinguang Bao
  • Xingfeng Li
  • Deshun Feng
  • Lingrang Kong
  • Honggang Wang
Original Paper

Abstract

Plant height (PH) in wheat is a complex trait; its components include spike length (SL) and internode lengths. To precisely analyze the factors affecting PH, two F8:9 recombinant inbred line (RIL) populations comprising 485 and 229 lines were generated. Crosses were performed between Weimai 8 and Jimai 20 (WJ) and between Weimai 8 and Yannong 19 (WY). Possible genetic relationships between PH and PH components (PHC) were evaluated at the quantitative trait locus (QTL) level. PH and PHC (including SL and internode lengths from the first to the fourth counted from the top, abbreviated as FIITL, SITL, TITL, and FOITL, respectively) were measured in four environments. Individual and the pooled values from four trials were used in the present analysis. A QTL for PH was mapped using data on PH and on PH conditioned by PHC using IciMapping V2.2. All 21 chromosomes in wheat were shown to harbor factors affecting PH in two populations, by both conditional and unconditional QTL mapping methods. At least 11 pairwise congruent QTL were identified in the two populations. In total, ten unconditional QTL and five conditional QTL that could be detected in the conditional analysis only have been verified in no less than three trials in WJ and WY. In addition, three QTL on the short arms of chromosomes 4B, 4D, and 7B were mapped to positions similar to those of the semi-dwarfing genes Rht-B1, Rht-D1 and Rht13, respectively. Conditional QTL mapping analysis in WJ and WY proved that, at the QTL level, SL contributed the least to PH, followed by FIITL; TITL had the strongest influence on PH, followed by SITL and FOITL. The results above indicated that the conditional QTL mapping method can be used to evaluate possible genetic relationships between PH and PHC, and it can efficiently and precisely reveal counteracting QTL, which will enhance the understanding of the genetic basis of PH in wheat. The combination of two related populations with a large/moderate population size made the results authentic and accurate.

Abbreviations

PH

Plant height

PHC

Plant height components

SL

Spike length

FIITL

The first internode length from the top

SITL

The second internode length from the top

TITL

The third internode length from the top

FOITL

The fourth internode length from the top

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

Notes

Acknowledgments

This research was supported by the National Basic Research Program of China (973 Program, 2006CB101700). The author thanks Dr. Jun Zhu, Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People’s Republic of China, for technical assistance.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Fa Cui
    • 1
  • Jun Li
    • 1
  • Anming Ding
    • 1
  • Chunhua Zhao
    • 1
  • Lin Wang
    • 2
  • Xiuqin Wang
    • 3
  • Sishen Li
    • 1
  • Yinguang Bao
    • 1
  • Xingfeng Li
    • 1
  • Deshun Feng
    • 1
  • Lingrang Kong
    • 1
  • Honggang Wang
    • 1
  1. 1.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of AgronomyShandong Agricultural UniversityTaianChina
  2. 2.Municipal Academy of Agricultural SciencesJiningChina
  3. 3.Municipal Academy of Agricultural SciencesZaozhuangChina

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