Literature DB >> 33569693

Two Novel QTLs for the Harvest Index that Contribute to High-Yield Production in Rice (Oryza sativa L.).

Hiroki Saito1, Yoshimichi Fukuta2, Mitsuhiro Obara3, Asami Tomita1,4, Tsutomu Ishimaru3,5, Kazuhiro Sasaki3, Daisuke Fujita3,6, Nobuya Kobayashi3,7.   

Abstract

BACKGROUND: The harvest index (HI) is a measure of the biological success of forming harvestable products. However, our understanding of the genetic basis of HI in rice (Oryza sativa L.) is limited, because it is a complex trait consisting of various yield-related traits and physiological attributes. YTH183 is a high-yielding line with large panicles and high HI derived from a cross between the Indica Group variety IR 64 and the NPT line IR 69093-41-2-3-2 (YP5).
RESULTS: Here, we detected two novel QTLs for HI, designated qHI5.1 on chromosome 5 and qHI8.1 on chromosome 8, by using 155 recombinant inbred lines (RILs) derived from the cross between IR 64 and YTH183. The YTH183 allele at qHI5.1 contributed to a wide grain, resulting in heavy grain weight and panicle weight, and was consistently effective under the different environmental conditions of subtropical (Ishigaki) and temperate (Tsukuba) regions. Genetic polymorphism revealed that qHI5.1 was identical to GSE5/GW5, which is known to control the grain weight. On the other hand, although qHI8.1 functioned additively with qHI5.1 for higher HI, it did not show any significant effect on grain or panicle weight. In addition, its effects on HI were shown only in the first seasons at Ishigaki but not at Tsukuba or in the second season at Ishigaki.
CONCLUSION: Our results indicate that qHI5.1 controls the grain size, regardless of whether environmental conditions are of subtropical or temperate regions, while qHI8.1 might be involved in controlling the physiological processes of source ability or the translocation of photosynthesis products from vegetative organs to grains depending on environmental conditions during the maturing stage. These QTLs will be useful genetic resources for future breeding programs to break through the ceiling of maximum yield in Indica Group varieties.

Entities:  

Keywords:  Harvest index; QTL; Rice (Oryza sativa L.); Source ability; Yield potential

Year:  2021        PMID: 33569693      PMCID: PMC7876197          DOI: 10.1186/s12284-021-00456-1

Source DB:  PubMed          Journal:  Rice (N Y)        ISSN: 1939-8425            Impact factor:   4.783


  13 in total

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3.  Deletion in a gene associated with grain size increased yields during rice domestication.

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Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

4.  GW5 acts in the brassinosteroid signalling pathway to regulate grain width and weight in rice.

Authors:  Jiafan Liu; Jun Chen; Xiaoming Zheng; Fuqing Wu; Qibing Lin; Yueqin Heng; Peng Tian; ZhiJun Cheng; Xiaowen Yu; Kunneng Zhou; Xin Zhang; Xiuping Guo; Jiulin Wang; Haiyang Wang; Jianmin Wan
Journal:  Nat Plants       Date:  2017-04-10       Impact factor: 15.793

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Journal:  Mol Plant       Date:  2017-03-30       Impact factor: 13.164

7.  Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures.

Authors:  Jarrod R Welch; Jeffrey R Vincent; Maximilian Auffhammer; Piedad F Moya; Achim Dobermann; David Dawe
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-09       Impact factor: 11.205

8.  Rice yields decline with higher night temperature from global warming.

Authors:  Shaobing Peng; Jianliang Huang; John E Sheehy; Rebecca C Laza; Romeo M Visperas; Xuhua Zhong; Grace S Centeno; Gurdev S Khush; Kenneth G Cassman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-28       Impact factor: 11.205

9.  Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon.

Authors:  Pradeep Reddy Marri; N Sarla; Laxminarayana V Reddy; E A Siddiq
Journal:  BMC Genet       Date:  2005-06-13       Impact factor: 2.797

10.  Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.).

Authors:  Shaohong Zhang; Xiuying He; Junliang Zhao; Yongsheng Cheng; Zhimei Xie; Yuehan Chen; Tifeng Yang; Jingfang Dong; Xiaofei Wang; Qing Liu; Wei Liu; Xingxue Mao; Hua Fu; Zhaoming Chen; Yaoping Liao; Bin Liu
Journal:  Rice (N Y)       Date:  2017-09-26       Impact factor: 4.783

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Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

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