Wild-type alleles of Rht-B1 and Rht-D1 as independent determinants of thousand-grain weight and kernel number per spike in wheat View Full Text


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Article Info

DATE

2013-06-19

AUTHORS

Jingjuan Zhang, Bernard Dell, Ben Biddulph, Fiona Drake-Brockman, Esther Walker, Nusrat Khan, Debbie Wong, Matthew Hayden, Rudi Appels

ABSTRACT

The utilization of dwarfing genes Rht-B1b and Rht-D1b in wheat significantly increased grain yield and contributed to the “green revolution”. However, the benefit of Rht-B1b and Rht-D1b in drought environments has been debated. Although quantitative trait loci (QTL) for kernel number per spike (KN) and thousand-grain weight (TGW) have been found to be associated with Rht-B1 and Rht-D1, the confounding effect of environmental variation has made a direct association difficult to find. In this study, we used a doubled haploid population (225 lines) of Westonia × Kauz, in which both Rht-B1b (Kauz) and Rht-D1b (Westonia) segregated. The purpose of the study was to determine the interaction of Rht-B1 and Rht-D1 with grain yield components, namely KN and TGW, and to investigate genotype-by-environment interactions in glasshouse and field trials conducted in 2010 and 2011 in Western Australia. A genetic map of 1,156 loci was constructed using 195 microsatellite markers, two gene-based markers for Rht-B1 and Rht-D1, and 959 single nucleotide polymorphisms. The major QTL for TGW and KN were strongly linked to Rht-B1 and Rht-D1 loci and the positive effects were associated with the wild-type alleles, Rht-B1a and Rht-D1a. The major QTL of TGW were on chromosome 2D and 4B. The significant genetic effects (14.6–22.9 %) of TGW indicated that marker-assisted selection for TGW is possible, and markers gwm192a (206 bp) or gwm192b (236 bp) can be used as indicators of high TGW. For KN, one major QTL was detected on chromosome 4D in the analysis across three environments. The association of the wild-type alleles Rht-B1a and Rht-D1a in drought environments is discussed. More... »

PAGES

771-783

References to SciGraph publications

  • 2005-12-01. RECORD: a novel method for ordering loci on a genetic linkage map in THEORETICAL AND APPLIED GENETICS
  • 2006-02-04. Advanced backcross QTL analysis of a hard winter wheat × synthetic wheat population in THEORETICAL AND APPLIED GENETICS
  • 2010-08-10. Using probe genotypes to dissect QTL × environment interactions for grain yield components in winter wheat in THEORETICAL AND APPLIED GENETICS
  • 2012-05-17. New cis-regulatory elements in the Rht-D1b locus region of wheat in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2004-07-09. Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivumL.) in THEORETICAL AND APPLIED GENETICS
  • 2009-10-29. Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions in THEORETICAL AND APPLIED GENETICS
  • 1998-06. Genetic analysis of the dwarfing gene Rht8 in wheat. Part II. The distribution and adaptive significance of allelic variants at the Rht8 locus of wheat as revealed by microsatellite screening in THEORETICAL AND APPLIED GENETICS
  • 1999-07. ‘Green revolution’ genes encode mutant gibberellin response modulators in NATURE
  • 1998-06. Genetic analysis of the dwarfing gene (Rht8) in wheat. Part I. Molecular mapping of Rht8 on the short arm of chromosome 2D of bread wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2005-12-21. Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark in THEORETICAL AND APPLIED GENETICS
  • 2008-10-14. QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai × Yu8679 in THEORETICAL AND APPLIED GENETICS
  • 2006-07-13. Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2008-04-06. The genome structure of the 1-FEH genes in wheat (Triticum aestivum L.): new markers to track stem carbohydrates and grain filling QTLs in breeding in MOLECULAR BREEDING
  • 1994-04-15. Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs in GENETICS SELECTION EVOLUTION
  • 2008-09-26. Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations in THEORETICAL AND APPLIED GENETICS
  • 2006-08-11. Dissecting gene × environmental effects on wheat yields via QTL and physiological analysis in EUPHYTICA
  • 2001-12. Map Manager QTX, cross-platform software for genetic mapping in MAMMALIAN GENOME
  • 2002-10-03. Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat in THEORETICAL AND APPLIED GENETICS
  • 2002-06-21. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2002-09-13. "Perfect" markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat in THEORETICAL AND APPLIED GENETICS
  • 2005-10. Identification, distribution and effects on agronomic traits of the semi-dwarfing Rht alleles in Bulgarian common wheat cultivars in EUPHYTICA
  • 2001-05. Allelic variation at the dwarfing gene Rht8 locus and its significance in international breeding programmes in EUPHYTICA
  • 2007-08-09. Application of multiplex-ready PCR for fluorescence-based SSR genotyping in barley and wheat in MOLECULAR BREEDING
  • 2005-02-18. A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its use to compare QTLs for grain yield across a range of environments in THEORETICAL AND APPLIED GENETICS
  • 2007-08-23. Genetic dissection of grain yield in bread wheat. I. QTL analysis in THEORETICAL AND APPLIED GENETICS
  • 2004-05-11. Linkage Between RFLP Molecular Markers and the Dwarfing Genes Rht‐B1 and Rht‐D1 in Wheat in HEREDITAS
  • 2010-09-09. Identification of microsatellite markers linked with yield components under drought stress at terminal growth stages in durum wheat in EUPHYTICA
  • 1981-06. NORIN 10 semi-dwarfism in tetraploid wheat and associated effects on yield in EUPHYTICA
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    http://scigraph.springernature.com/pub.10.1007/s11032-013-9905-1

    DOI

    http://dx.doi.org/10.1007/s11032-013-9905-1

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    https://app.dimensions.ai/details/publication/pub.1013394185


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