Evidence map›Paper›PMID 25572223›Full record

ArticleJournal of genetics2014

Mapping and introgression of QTL for yield and related traits in two backcross populations derived from Oryza sativa cv. Swarna and two accessions of O. nivara.

B P Mallikarjuna Swamy, K Kaladhar, G Ashok Reddy, B C Viraktamath, N Sarla

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Article in Journal of genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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22citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Fine mapping ofMolecular breeding : new strategies in plant improvement · 2025
    Article
  2. Wild rice: unlocking the future of rice breeding.Plant biotechnology journal · 2024
    Review
  3. Article
  4. Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight atPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  5. Article
  6. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Trait and Marker Associations inFrontiers in plant science · 2017
    Article
  19. Article
  20. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

B P Mallikarjuna SwamyDirectorate of Rice Research, Rajendranagar, Hyderabad 500 030, India. m.swamy@irri.org.
K Kaladhar
G Ashok Reddy
B C Viraktamath
N Sarla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced backcross QTL (AB-QTL) analysis was carried out in two Oryza nivara-derived BC2F2 populations. For nine traits, we identified 28 QTL in population 1 and 26 QTL in population 2. The two most significant yield-enhancing QTL, yldp9.1 and yldp2.1 showed an additive effect of 16 and 7 g per plant in population 1, while yld2.1 and yld11.1 showed an additive effect of 11 and 10 g per plant in population 2. At least one O. nivara-derived QTL with a phenotypic variance of >15% was detected for seven traits in population 1 and three traits in population 2. The O. nivara-derived QTL ph1.1, nt12.1, nsp1.1, nfg1.1, bm11.1, yld2.1 and yld11.1 were conserved at the same chromosomal locations in both populations. Two major QTL clusters were detected at the marker intervals RM488-RM431 and RM6-RM535 on chromosomes 1 and 2, respectively. The colocation of O. nivara-derived yield QTL with yield meta-QTL on chromosomes 1, 2 and 9 indicates their accuracy and consistency. The major-effect QTL reported in this study are useful for marker-assisted breeding and are also suitable for further fine mapping and candidate gene identification.

Indexed as

BreedingChromosome MappingCrops, AgriculturalGenetics, PopulationInbreedingOryzaQuantitative Trait Loci

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.