Literature DB >> 11901998

Genetic analysis of the panicle traits related to yield sink size of rice.

Ke-Hui Cui1, Shao-Bing Peng, Yong-Zhong Xing, Si-Bin Yu, Cai-Guo Xu.   

Abstract

In the study, ten panicle traits associated with yield sink size were measured in a recombinant inbred population derived from Zhenshan 97 x Minghui 63. Generally, spikelets per panicle were more closely correlated with number of secondary branch per panicle, spikelets on secondary branch per secondary branch, and spikelet density. A total of 53 QTL were detected for ten traits in two years. Approximately 43.4% QTLs were detected in both two years, suggesting environmental effects on traits. Five chromosomal regions (G359-RG532 and C567-C86-RG236 on chromosome 1, R712-RM29 on chromosome 2, P-RG424 on chromosome 6, C148-RM258 on chromosome 10) were detected to have effects on multiple panicle traits. QTLs for traits, which were correlated, were generally localized in similar chromosomal regions, suggesting that pleiotropy and (or) linkage are the molecular basis of relationship between them. A large number of digenic interactions were detected, 18.2% of which were detected simultaneously in both two years. The proportion of common interactions was trait-depended, ranging 8.7% for spikelets on secondary branch per secondary branch to 32.6% for panicle length. Approximately 26.7% of common two-locus combinations had pleiotropic effects by simultaneously influencing two or more traits. Overall, the results indicate that each panicle trait is controlled by several QTLs, genotype x environment interaction, and a large number of epistatic interactions.

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Mesh:

Year:  2002        PMID: 11901998

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  6 in total

1.  QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.).

Authors:  H W Mei; J L Xu; Z K Li; X Q Yu; L B Guo; Y P Wang; C S Ying; L J Luo
Journal:  Theor Appl Genet       Date:  2005-12-06       Impact factor: 5.699

2.  Genetic analysis of an elite super-hybrid rice parent using high-density SNP markers.

Authors:  Meijuan Duan; Zhizhong Sun; Liping Shu; Yanning Tan; Dong Yu; Xuewu Sun; Ruifen Liu; Yujie Li; Siyu Gong; Dingyang Yuan
Journal:  Rice (N Y)       Date:  2013-08-15       Impact factor: 4.783

3.  Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions.

Authors:  Anshuman Singh; Jerome Carandang; Zennia Jean C Gonzaga; Bertrand C Y Collard; Abdelbagi M Ismail; Endang M Septiningsih
Journal:  Rice (N Y)       Date:  2017-04-20       Impact factor: 4.783

4.  Deciphering the genetic basis of root morphology, nutrient uptake, yield, and yield-related traits in rice under dry direct-seeded cultivation systems.

Authors:  Nitika Sandhu; Sushil Raj Subedi; Vikas Kumar Singh; Pallavi Sinha; Santosh Kumar; S P Singh; Surya Kant Ghimire; Madhav Pandey; Ram Baran Yadaw; Rajeev K Varshney; Arvind Kumar
Journal:  Sci Rep       Date:  2019-06-27       Impact factor: 4.379

5.  Fine mapping and candidate gene analysis of a major QTL for panicle structure in rice.

Authors:  Youlin Peng; Zhenyu Gao; Bin Zhang; Chaolei Liu; Jie Xu; Banpu Ruan; Jiang Hu; Guojun Dong; Longbiao Guo; Guohua Liang; Qian Qian
Journal:  Plant Cell Rep       Date:  2014-07-31       Impact factor: 4.570

6.  Genetic analysis for the grain number heterosis of a super-hybrid rice WFYT025 combination using RNA-Seq.

Authors:  Liang Chen; Jianmin Bian; Shilai Shi; Jianfeng Yu; Hira Khanzada; Ghulam Mustafa Wassan; Changlan Zhu; Xin Luo; Shan Tong; Xiaorong Yang; Xiaosong Peng; Shuang Yong; Qiuying Yu; Xiaopeng He; Junru Fu; Xiaorong Chen; Lifang Hu; Linjuan Ouyang; Haohua He
Journal:  Rice (N Y)       Date:  2018-06-15       Impact factor: 4.783

  6 in total

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