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This article in CS

  1. Vol. 52 No. 2, p. 539-550
     
    Received: Sept 23, 2010


    * Corresponding author(s): pierre.bertin@uclouvain.be
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doi:10.2135/cropsci2009.09.0544

Multienvironment Quantitative Trait Loci Mapping and Consistency across Environments of Resistance Mechanisms to Ferrous Iron Toxicity in Rice

  1. I. Dufeya,
  2. M.-P. Hiela,
  3. P. Hakizimanaa,
  4. X. Drayea,
  5. S. Luttsa,
  6. B. Konéb,
  7. K.N. Draméb,
  8. K.A. Konatéc,
  9. M. Sieb and
  10. P. Bertin *a
  1. a Earth and Life Institute, Université catholique de Louvain, Croix du Sud, 2 bte 11, B-1348 Louvain-La-Neuve, Belgium
    b Africa Rice Center 01 B.P., 2031 Cotonou, Benin
    c Institut national de l'environnement et de recherches agricoles (INERA), 01 B.P., 476 Ouagadougou, Burkina Faso

Abstract

Lowland rice (Oryza sativa L.) is often affected by iron toxicity, which may lead to yield losses. One important constraint in the study of the inheritance of resistance strategies to this stress is the inconsistency of gene expression across different environments. This study aimed to determine the stability of quantitative trait loci (QTL) across several environments. Quantitative trait loci mapping for traits related to resistance mechanisms had been previously performed using 164 recombinant inbred lines derived from ‘Azucena’ and ‘IR64’ screened in hydroponics in a phytotron. In the present study, this population was tested under excessive ferrous iron conditions in three additional environments: in hydroponics in a greenhouse, on washed sand, and in the field. Altogether, 44 putative QTL were identified in the four single QTL analyses for morphological, physiological, and agronomic traits. From these 44 QTL, 20 were found in overlapping regions for the same or related traits in different environments, identifying six genomic regions of great interest for the inheritance of resistance to iron toxicity. Quantitative trait loci stability across environments was also checked by performing a joint QTL analysis, which confirmed the position of nine QTL previously found in the same or adjacent regions by at least one single analysis. Combining both single and joint analyses helps in separating QTL specific to a particular environment from generally expressed ones thus is more suitable for marker-assisted selection.

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