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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Drought-tolerance QTLs commonly detected in two sets of reciprocal introgression lines in rice

Yun Wang A B C , Qiang Zhang A B C , Tianqing Zheng A , Yanru Cui A , Wenzhong Zhang B , Jianlong Xu A D and Zhikang Li A
+ Author Affiliations
- Author Affiliations

A Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12 South Zhong-Guan-Cun Street, Beijing 100081, China.

B Rice Research Institute, Key Lab for Northern Japonica Rice Genetics and Breeding of Ministry of Education, Shenyang Agricultural University, Shenyang 110866, China.

C These authors contributed equally to the work.

D Corresponding author. Email: xujlcaas@126.com; xujianlong@caas.cn

Crop and Pasture Science 65(2) 171-184 https://doi.org/10.1071/CP13344
Submitted: 5 October 2013  Accepted: 20 December 2013   Published: 14 February 2014

Abstract

Drought is one of the major abiotic stresses limiting rice (Oryza sativa L.) production. Quantitative trait loci (QTLs) for drought tolerance (DT) at the reproductive stage were identified with two sets of reciprocal introgression lines derived from Lemont × Teqing. In total, 29 and 23 QTLs were identified in the Teqing and Lemont backgrounds, respectively, during the reproductive stage under drought and irrigated conditions for spikelet number per panicle, seed fertility, filled grain weight per panicle, plant height, and grain yield per plant. Most of these QTLs showed obvious differential expressions in response to drought stress. Another 21 QTLs were detected by the ratio of trait values under drought stress relative to the normal irrigation conditions in the two backgrounds. For 28 DT QTLs, the Teqing alleles at 23 loci had increased trait values and could improve DT under drought stress. Only five (17.9%) DT QTLs (QSnp1b, QSnp3a, QSnp11, QSf8, and QGyp2a) were consistently detected in the two backgrounds, clearly suggesting overwhelming genetic background effects on QTL detection for DT. Seven of the DT QTL regions identified were found to share the same genomic regions with previously reported DT-related genes. Introgressing or pyramiding of favourable alleles from Teqing at the validated QTLs (QSnp3a, QSnp11 and QGyp2a) into Lemont background may improve DT level of Lemont.

Additional keywords: Abiotic stress tolerance, marker-assisted selection, pyramiding, genetic background effect, rice.


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