Additive and additive × additive interaction make important contributions to spikelets per panicle in rice near isogenic (Oryza sativa L.) lines

Qin He; Kexin Zhang; Caiguo Xu; Yongzhong Xing

doi:10.1016/S1673-8527(09)60097-7

Volume 37 Issue 12

Dec. 2010

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Additive and additive × additive interaction make important contributions to spikelets per panicle in rice near isogenic (Oryza sativa L.) lines

doi: 10.1016/S1673-8527(09)60097-7

National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China

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Corresponding author: E-mail address: yzxing@mail.hzau.edu.cn (Yongzhong Xing)
Received Date: 2010-07-23
Accepted Date: 2010-10-13
Rev Recd Date: 2010-09-04

Available Online: 2010-12-28

Publish Date: 2010-12-20

Abstract

Abstract

Epistasis plays an important role in the genetic basis of rice yield traits. Taking interactions into account in breeding programs will help the development of high-yielding rice varieties. In this study, three sets of near isogenic lines (NILs) targeting three QTLs for spikelets per panicle (SPP), namely qSPP1, qSPP2 and qSPP7, which share the same Zhenshan 97 genetic background, were used to produce an F₂ population in which the three QTLs segregated simultaneously. The genotypes of the individual F₂ plants at the three QTLs were replaced with three markers that are closely linked to the corresponding QTLs. These QTLs were validated in the F₂ and F₃ populations at the single marker level. qSPP7 exhibited major pleiotropic effects on SPP, plant height and heading date. Multifactor analysis of variance was performed for the F₂ population and its progeny. Additive (additive interaction between qSPP2 and qSPP7 had significant effects on SPP in both the F₂ population and its progeny. Both additive and additive (additive interactions could explain about 73% of the total SPP phenotypic variance. The SPP performance of 27 three-locus combinations was ranked and favorable combinations were recommended for rice breeding in different ecosystems.
- QTL validation,
- phenotypic variance,
- pleiotropic effect,
- favorable combination

These authors contributed equally to this work.

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References(37)

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