Crop Science Grow Your Career with CSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 31 May 2007
Published in Crop Sci 47:969-980 (2007)
© 2007 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bidinger, F. R.
Right arrow Articles by Howarth, C. J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Bidinger, F. R.
Right arrow Articles by Howarth, C. J.
Agricola
Right arrow Articles by Bidinger, F. R.
Right arrow Articles by Howarth, C. J.
Related Collections
Right arrow Water Stress
Right arrow Crop Physiology & Metabolism
Right arrow Crop Genetics

CROP BREEDING & GENETICS

Quantitative Trait Loci for Grain Yield in Pearl Millet under Variable Postflowering Moisture Conditions

F. R. Bidingera, T. Nepoleana,*, C. T. Hasha, R. S. Yadavb and C. J. Howarthb

a International Crops Research Inst. for the Semi-Arid Tropics (ICRISAT), Patancheru P.O., Andhra Pradesh 502 324, India
b Inst. of Grassland and Environmental Research, Aberystwyth, SY23 3EB, UK

* Corresponding author (t.nepolean{at}cgiar.org).

Pearl millet marker-assisted selection (MAS) programs targeting adaptation to variable postflowering moisture environments would benefit from quantitative trait loci (QTLs) that improve grain yield across the full range of postflowering 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 postflowering 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) x a postflowering drought-tolerant maintainer (863B). Three QTLs (on linkage group [LG] 2, LG 3, and LG 4) were identified as primary candidates for MAS for improved grain yield across variable postflowering 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 x 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.

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.




This article has been cited by other articles:


Home page
Plant Physiol.Home page
N. C. Collins, F. Tardieu, and R. Tuberosa
Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?
Plant Physiology, June 1, 2008; 147(2): 469 - 486.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2007 by the Crop Science Society of America.