Association Mapping of Yield and Yield-related Traits Under Reproductive Stage Drought Stress in Rice (Oryza sativa L.)

B. P.Mallikarjuna Swamy, Noraziyah Abd Aziz Shamsudin, Site Noorzuraini Abd Rahman, Ramil Mauleon, R Wickneswari V Ratnam, Ma Teressa Sta. Cruz, Arvind Kumar

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Background: The identification and introgression of major-effect QTLs for grain yield under drought are some of the best and well-proven approaches for improving the drought tolerance of rice varieties. In the present study, we characterized Malaysian rice germplasm for yield and yield-related traits and identified significant trait marker associations by structured association mapping. Results: The drought screening was successful in screening germplasm with a yield reduction of up to 60% and heritability for grain yield under drought was up to 78%. There was a wider phenotypic and molecular diversity within the panel, indicating the suitability of the population for quantitative trait loci (QTL) mapping. Structure analyses clearly grouped the accessions into three subgroups with admixtures. Linkage disequilibrium (LD) analysis revealed that LD decreased with an increase in distance between marker pairs and the LD decay varied from 5–20 cM. The Mixed Linear model-based structured association mapping identified 80 marker trait associations (MTA) for grain yield (GY), plant height (PH) and days to flowering (DTF). Seven MTA were identified for GY under drought stress, four of these MTA were consistently identified in at least two of the three analyses. Most of these MTA identified were on chromosomes 2, 5, 10, 11 and 12, and their phenotypic variance (PV) varied from 5% to 19%. The in silico analysis of drought QTL regions revealed the association of several drought-responsive genes conferring drought tolerance. The major-effect QTLs are useful in marker-assisted QTL pyramiding to improve drought tolerance. Conclusion: The results have clearly shown that structured association mapping is one of the feasible options to identify major-effect QTLs for drought tolerance-related traits in rice.

Original languageEnglish
Article number21
JournalRice
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017

Fingerprint

drought stress
chromosome mapping
quantitative trait loci
Oryza sativa
water stress
rice
drought
drought tolerance
linkage disequilibrium
grain yield
tolerance
disequilibrium
germplasm
germplasm screening
phenotypic variation
introgression
heritability
linear models
deterioration
marker

Keywords

  • Association mapping
  • Drought
  • Genes
  • Genetic diversity

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Soil Science
  • Plant Science

Cite this

Association Mapping of Yield and Yield-related Traits Under Reproductive Stage Drought Stress in Rice (Oryza sativa L.). / Swamy, B. P.Mallikarjuna; Abd Aziz Shamsudin, Noraziyah; Rahman, Site Noorzuraini Abd; Mauleon, Ramil; V Ratnam, R Wickneswari; Sta. Cruz, Ma Teressa; Kumar, Arvind.

In: Rice, Vol. 10, No. 1, 21, 01.12.2017.

Research output: Contribution to journalArticle

Swamy, B. P.Mallikarjuna ; Abd Aziz Shamsudin, Noraziyah ; Rahman, Site Noorzuraini Abd ; Mauleon, Ramil ; V Ratnam, R Wickneswari ; Sta. Cruz, Ma Teressa ; Kumar, Arvind. / Association Mapping of Yield and Yield-related Traits Under Reproductive Stage Drought Stress in Rice (Oryza sativa L.). In: Rice. 2017 ; Vol. 10, No. 1.
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AU - Rahman, Site Noorzuraini Abd

AU - Mauleon, Ramil

AU - V Ratnam, R Wickneswari

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AB - Background: The identification and introgression of major-effect QTLs for grain yield under drought are some of the best and well-proven approaches for improving the drought tolerance of rice varieties. In the present study, we characterized Malaysian rice germplasm for yield and yield-related traits and identified significant trait marker associations by structured association mapping. Results: The drought screening was successful in screening germplasm with a yield reduction of up to 60% and heritability for grain yield under drought was up to 78%. There was a wider phenotypic and molecular diversity within the panel, indicating the suitability of the population for quantitative trait loci (QTL) mapping. Structure analyses clearly grouped the accessions into three subgroups with admixtures. Linkage disequilibrium (LD) analysis revealed that LD decreased with an increase in distance between marker pairs and the LD decay varied from 5–20 cM. The Mixed Linear model-based structured association mapping identified 80 marker trait associations (MTA) for grain yield (GY), plant height (PH) and days to flowering (DTF). Seven MTA were identified for GY under drought stress, four of these MTA were consistently identified in at least two of the three analyses. Most of these MTA identified were on chromosomes 2, 5, 10, 11 and 12, and their phenotypic variance (PV) varied from 5% to 19%. The in silico analysis of drought QTL regions revealed the association of several drought-responsive genes conferring drought tolerance. The major-effect QTLs are useful in marker-assisted QTL pyramiding to improve drought tolerance. Conclusion: The results have clearly shown that structured association mapping is one of the feasible options to identify major-effect QTLs for drought tolerance-related traits in rice.

KW - Association mapping

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