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dc.contributor.author Hash, C. T.
dc.contributor.author Yadav, Rattan S.
dc.contributor.author Howarth, Catherine J.
dc.contributor.author Nepolean, T.
dc.contributor.author Bidinger, F. R.
dc.date.accessioned 2009-07-06T09:24:09Z
dc.date.available 2009-07-06T09:24:09Z
dc.date.issued 2009-07-06
dc.identifier.citation Hash , C T , Yadav , R S , Howarth , C J , Nepolean , T & Bidinger , F R 2009 , ' Quantitative trait loci for grain yield in pearl millet under variable postflowering moisture conditions ' Crop Science 47 . en
dc.identifier.other PURE: 116311
dc.identifier.other dspace: 2160/2547
dc.identifier.uri http://hdl.handle.net/2160/2547
dc.description Bidinger, F. R., Nepolean, T., Hash, C. T., Yadav, R. S., Howarth, C. J., (2007) Quantitative trait loci for grain yield in pearl millet under variable postflowering moisture conditions. Crop Science 47, 969¿980. Abbreviations: BLUP, best linear unbiased predictor; GRMA, individual grain mass; GRNO, grain number; GRYLD, grain yield; HI, harvest index; LG, linkage group; LOD, logarithm of odds; MAS, marker-assisted selection; PNHI, panicle harvest index; QTL, quantitative trait locus; RFLP, restriction fragment length polymorphism; SSR, simple sequence repeat. en
dc.description.abstract Pearl millet marker-assisted selection (MAS) programs targeting adaptation to variable post-flowering moisture environments would benefit from quantitative trait loci (QTLs) that improve grain yield across the full range of post-flowering moisture conditions, rather than just in drought-stressed environments. This research was undertaken to identify such QTLs from an extensive (12-environment) phenotyping data set that included both stressed and unstressed post-flowering environments. Genetic materials were test crosses of 79 F2¿derived F4 progenies from a mapping population based on a widely adapted maintainer line (ICMB 841) × a post-flowering drought-tolerant maintainer (863B). Three QTLs (on linkage group [LG] 2, LG 3, and LG 4) were identifi ed as primary candidates for MAS for improved grain yield across variable post-flowering moisture environments. The QTLs on LG 2 and LG 3 (the most promising) explained a useful proportion (13¿25%) of phenotypic variance for grain yield across environments. They also co-mapped with QTLs for harvest index across environments, and with QTLs for both grain number and individual grain mass under severe terminal stress. Neither had a significant QTL × environment interaction, indicating that their predicted effects should occur across a broad range of available moisture environments. We have estimated the benefits in grain yield and accompanying changes in yield components and partitioning indices that would be expected as a result of incorporating these QTLs into other genetic backgrounds by MAS. en
dc.language.iso eng
dc.relation.ispartof Crop Science 47 en
dc.title Quantitative trait loci for grain yield in pearl millet under variable postflowering moisture conditions en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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