2011
DOI: 10.1186/1471-2164-12-319
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Meta-analysis of grain yield QTL identified during agricultural drought in grasses showed consensus

Abstract: BackgroundIn the last few years, efforts have been made to identify large effect QTL for grain yield under drought in rice. However, identification of most precise and consistent QTL across the environments and genetics backgrounds is essential for their successful use in Marker-assisted Selection. In this study, an attempt was made to locate consistent QTL regions associated with yield increase under drought by applying a genome-wide QTL meta-analysis approach.ResultsThe integration of 15 maps resulted in a c… Show more

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Cited by 173 publications
(173 citation statements)
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“…Furthermore, upland rice cultivars with deeper roots outperformed lowland cultivars possessing a shallow root system when encountered with water deficit stress (Uga et al, 2013). Additionally, majoreffect grain yield metaquantitative trait loci under water deficit stress identified in rice were found to colocalize on the genomes of other dryland cereals such as wheat, maize, and pearl millet (Pennisetum glaucum; Swamy et al, 2011), indicating a possible common evolutionary pathway for water deficit adaptation across cereals. Despite these achievements and the relatedness among cereals, rice does not respond in a way similar to other dryland cereals to water deficit stress conditions.…”
mentioning
confidence: 93%
“…Furthermore, upland rice cultivars with deeper roots outperformed lowland cultivars possessing a shallow root system when encountered with water deficit stress (Uga et al, 2013). Additionally, majoreffect grain yield metaquantitative trait loci under water deficit stress identified in rice were found to colocalize on the genomes of other dryland cereals such as wheat, maize, and pearl millet (Pennisetum glaucum; Swamy et al, 2011), indicating a possible common evolutionary pathway for water deficit adaptation across cereals. Despite these achievements and the relatedness among cereals, rice does not respond in a way similar to other dryland cereals to water deficit stress conditions.…”
mentioning
confidence: 93%
“…Meta-QTL regions were compared for synteny in other cereal crops. The major-effect MQTL 1.4 was also found in maize on chromosome 3 near marker msu2, in wheat on chromosome 4B near marker Rht-b1, and in barley on chromosome 6H near marker Bmac0316, while major-effect MQTL 3.2 was also found in maize on chromosome 1 near marker Umc107a (Swamy et al, 2011a).…”
Section: Meta Analysis and Comparative Genomics Of Grain-yield Qtlsmentioning
confidence: 85%
“…MQTL regions with small genetic and physical intervals are important regions for MAS, fine mapping, candidate gene identification, and functional analysis. Meta analysis of 53 grain-yield QTLs identified from 15 reports resulted in 14 meta-QTLs (Swamy et al, 2011a). There were seven meta-QTLs of around 1.3 Mb and they corresponded to a reasonably small genetic distance of 6 cM and they are suitable for use in marker-assisted selection.…”
Section: Meta Analysis and Comparative Genomics Of Grain-yield Qtlsmentioning
confidence: 99%
“…Therefore, developing drought-and salt-tolerant cultivars is an important strategy to reduce risk and increase rice productivity (Blumwald and Grover 2006). Over the past decade, extensive efforts have been devoted to developing drought-and/or salt-tolerant rice cultivars (Ali et al 2006;Bernier et al 2008;Kumar et al 2008;Swamy et al 2011Swamy et al , 2017Chai et al 2013;Swamy and Kumar 2013;Wang et al 2013;Bimpong et al 2016;Ali et al 2017). These cultivars were mostly developed through conventional cross-pedigree breeding and marker-assisted backcross breeding approaches to enhance the ability of modern rice varieties to tolerate drought and salinity stresses by using diverse rice accessions.…”
Section: Introductionmentioning
confidence: 99%