Theoretical and Applied Genetics

, Volume 112, Issue 1, pp 106–113 | Cite as

Grain yield responses to moisture regimes in a rice population: association among traits and genetic markers

  • G. H. Zou
  • H. W. Mei
  • H. Y. Liu
  • G. L. Liu
  • S. P. Hu
  • X. Q. Yu
  • M. S. Li
  • J. H. Wu
  • L. J. Luo
Original Paper

Abstract

Drought is a major constraint to rice (Oryza sativa L.) production in rainfed and poorly irrigated environments. Identifying genomic regions influencing the response of yield and its components to water deficits will aid our understanding of the genetic mechanism of drought tolerance (DT) of rice and the development of DT varieties. Grain yield (GY) and its components of a recombinant inbred population developed from a lowland rice and an upland rice were investigated under different water levels in 2003 and 2004 in a rainout DT screening facility. Correlation and path analysis indicated that spikelet fertility (SF) was particularly important for grain yield with direct effect (P=0.60) under drought stress, while spikelet number per panicle (SN) contributed the most to grain yield (P=0.41) under well-watered condition. A total of 32 quantitative trait loci (QTLs) for grain yield and its components were identified. The phenotypic variation explained by individual QTLs varied from 1.29% to 14.76%. Several main effect QTLs affecting SF, 1,000-grain weight (TGW), panicle number (PN), and SN were mapped to the same regions on chromosome 4 and 8. These QTLs were detected consistently across 2 years and under both water levels in this study. Several digenic interactions among yield components were also detected. The identification of genomic regions associated with GY and its components under stress will be useful to improve drought tolerance of rice by marker-aided approaches.

Abbreviations

A

Additive effect

AA

Additive × additive epistasis

AE

Additive × environment interaction

AAE

Epistasis × environment interaction

DT

Drought tolerance

E-QTL

Epistatic QTL

GY

Grain yield

M-QTL

Main effect QTL

PN

Panicle number

QTL

Quantitative trait locus

Q×E

QTL × environment interaction

RIL

Recombinant inbred line

SF

Spikelet fertility

SN

Spikelet number per panicle

SSR

Simple sequence repeats

TGW

1,000-grain weight

Notes

Acknowledgements

We are grateful to Dr A. Blum and Dr J. C. O’Toole for their advice on the construction of the screening facility and on drought tolerant screening trials. This study was jointly supported by grants from Chinese Ministry of Science and Technology (973 plan, 2004B17200; 863 plan, 2003AA207010), Chinese Ministry of Agriculture (948 plan, 2001-101), Shanghai Municipal Science and Technology Commission (02ZC14082, 03DJ14014, 05DJ14008) and the Rockefeller Foundation (2004FS071), New York, USA.

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • G. H. Zou
    • 1
    • 2
  • H. W. Mei
    • 2
  • H. Y. Liu
    • 2
    • 3
  • G. L. Liu
    • 1
    • 2
  • S. P. Hu
    • 2
  • X. Q. Yu
    • 2
  • M. S. Li
    • 2
  • J. H. Wu
    • 2
  • L. J. Luo
    • 1
    • 2
  1. 1.Huazhong Agricultural UniversityWuhanChina
  2. 2.Shanghai Agrobiological Gene CenterShanghaiChina
  3. 3.Shanghai Jiao Tong UniversityShanghaiChina

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