Molecular mapping and location of QTLs for drought-resistance traits in <Emphasis Type="Italic">indica</Emphasis> rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) lines adapted to target environments |
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Authors: | Selvaraj Michael Gomez N Manikanda Boopathi S Satheesh Kumar T Ramasubramanian Zhu Chengsong P Jeyaprakash A Senthil R Chandra Babu |
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Institution: | (1) Texas Agri Life Research, Texas A&M University System, Lubbock, TX 79403, USA;(2) Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore, 641003, India;(3) Department of Agronomy, Throckmorton Plant Sciences Centre, Kansas State University, Manhattan, KS 66506, USA;(4) Central Research Institute for Jute and Allied Fibres (ICAR), Barrackpore, Kolkata, India;(5) Agricultural Research Station, Tamil Nadu Agricultural University, Paramakudi, India |
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Abstract: | Drought is a major limitation for rice production in rainfed ecosystems. Identifying quantitative trait loci (QTLs) linked
to drought resistance provides opportunity to breed high yielding rice varieties suitable for drought-prone areas. Although
considerable efforts were made in mapping QTLs associated with drought-resistance traits in rice, most of the studies involved
indica × japonica crosses and hence, the drought-resistance alleles were contributed mostly by japonica ecotypes. It is desirable to look for genetic variation within indica ecotypes adapted to target environment (TE) as the alleles from japonica ecotype may not be expressed under lowland conditions. A subset of 250 recombinant inbred lines (RILs) of F8 generation derived from two indica rice lines (IR20 and Nootripathu) with contrasting drought-resistance traits were used to map the QTLs for morpho-physiological
and plant production traits under drought stress in the field in TE. A genetic linkage map was constructed using 101 polymorphic
PCR-based markers distributed over the 12 chromosomes covering a total length of 1,529 cM in 17 linkage groups with an average
distance of 15.1 cM. Composite interval mapping analysis identified 22 QTLs, which individually explained 4.8–32.2% of the
phenotypic variation. Consistent QTLs for drought-resistance traits were detected using locally adapted indica ecotypes, which may be useful for rainfed rice improvement. |
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