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Effects of yield-related QTLs SPIKE and GPS in two indica rice genetic backgrounds

Authors :
Toshiyuki Takai
Shunsuke Adachi
Daisuke Fujita
Yumiko Arai-Sanoh
Masaki Okamura
Motohiko Kondo
Nobuya Kobayashi
Source :
Plant Production Science, Vol 20, Iss 4, Pp 467-476 (2017)
Publication Year :
2017
Publisher :
Taylor & Francis Group, 2017.

Abstract

Recent progress in rice genomics has promoted the identification of quantitative trait loci (QTLs) associated with yield and its related traits. SPIKE, a QTL controlling spikelet number per panicle, and GPS, a QTL controlling leaf photosynthesis rate, were identical to NAL1. To assess the effect of SPIKE/GPS on yield potential, we compared DNA sequences of these alleles and conducted yield experiments in the field of Japan using the near-isogenic lines NIL-SPIKE (allele from Daringan in IR 64 genetic background), NIL-GPS (allele from Koshihikari in Takanari genetic background), and a chromosome segment substitution line, SL2115 (allele from Koshihikari in IR 64 genetic background). Despite the two SNPs in the promoter regions between Koshihikari and Daringan, both alleles were effective to increase the number of spikelets per panicle both in Takanari and IR 64 backgrounds. However, the extent of the increase was smaller and unstable in Takanari background than that in IR 64 background. In addition, SPIKE/GPS improved percentage of filled spikelets only in the IR 64 background. These results suggest that the effects of SPIKE/GPS alleles are similar but are affected by the difference of the genetic backgrounds. Because the increasing effect of spikelets number per panicle was canceled by the decrease of the number of panicles, which seems to be affected by environmental factors, none of NIL-SPIKE, SL2115, or NIL-GPS significantly out-yielded their parental cultivars. These results indicate the importance to consider genetic backgrounds and QTL-environment interaction toward the future use of SPIKE/GPS.

Details

Language :
English
ISSN :
1343943X and 13491008
Volume :
20
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Plant Production Science
Publication Type :
Academic Journal
Accession number :
edsdoj.4b96d229a9524a7d9e85418c120014a1
Document Type :
article
Full Text :
https://doi.org/10.1080/1343943X.2017.1385404