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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Multienvironment quantitative trait loci mapping and consistency across environments of resistance mechanisms to ferrous iron toxicity in rice
Crop Science, Volume 52, No. 2, Year 2012
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Description
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. © Crop Science Society of America.
Authors & Co-Authors
Dufey, I.
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Hiel, M. P.
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Hakizimana, P.
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Draye, X.
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Lutts, Stanley
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Koné, Brahima
Benin, Cotonou
Africa Rice Center Contonou
Dramé, Khady Nani
Benin, Cotonou
Africa Rice Center Contonou
Konaté, K. A.
Burkina Faso, Ouagadougou
Institut de L'environnement et de Recherches Agricoles Ouagadougou
Sié, Moussa
Benin, Cotonou
Africa Rice Center Contonou
Bertin, Pierre
Belgium, Louvain-la-neuve
Université Catholique de Louvain
Statistics
Citations: 41
Authors: 10
Affiliations: 3
Identifiers
Doi:
10.2135/cropsci2009.09.0544
ISSN:
0011183X
e-ISSN:
14350653
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative