Theoretical and Applied Genetics

, Volume 95, Issue 5–6, pp 799–808 | Cite as

Analysis of QTL×environment interaction for yield components and plant height in rice

  • J.-Y. Zhuang
  • H.-X. Lin
  • J. Lu
  • H.-R. Qian
  • S. Hittalmani
  • N. Huang
  • K.-L. Zheng

Abstract

 An F2 and two equivalent F3 populations of an indica-indica cross of rice, Tesanai 2/CB, were constructed and grown in different environments. The identification of quantitative trait loci (QTL) for yield components and plant height and an analysis of QTL×environment interaction were conducted for three trials. Interval mapping of QTL for eight traits was employed with a threshold of LOD=2 using the computer package MAPMAKER/QTL. A total of 44 QTL were detected in 18 intervals of nine chromosomes, including 3 for the number of panicles (NP), 5 for the number of filled grains (NFG), 6 for total number of spikelets (TNS), 3 for spikelet fertility (SF), 7 for 1000-grain weight (TGWT), 5 for grain weight per plant (GWT), 8 for plant height (PH) and 7 for panicle length (PL). The numbers of QTL detected in two or three trials were 1 for NP, 1 for NFG, 1 for TNS, none for SF, 4 for TGWT, 3 for GWT, 2 for PH and 5 for PL, making a total of 17. When a QTL was detected in more than one trial the direction and magnitude of its additive effect, the dominance effect and the degree of dominance were generally in good agreement. In all three trials, QTL were frequently detected for related traits in the same intervals. The directions of additive effect of QTL for related traits in a given interval were in agreement with few exceptions, no matter whether they were detected in the same trial or not. This result suggested that pleiotropism rather than close linkage of different QTL was the major reason why QTL for different traits were frequently detected in the same intervals. When gene pleiotropism was considered, 23 of the 29 QTL for yield and its components and 9 of the 15 QTL for plant stature were detected in more than one trial. This indicated that the detection of chromosomal segments harboring QTL was hardly affected by environmental factors.

Key words Rice Yield components Plant height QTL×environment interaction Pleiotropism 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • J.-Y. Zhuang
    • 1
  • H.-X. Lin
    • 1
  • J. Lu
    • 1
  • H.-R. Qian
    • 1
  • S. Hittalmani
    • 2
  • N. Huang
    • 2
  • K.-L. Zheng
    • 1
  1. 1.Biotechnology Department, China National Rice Research Institute, Hangzhou 310006, ChinaCN
  2. 2.International Rice Research Institute, P. O. Box 933, Manila, PhilippinesXX

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