Literature DB >> 24202365

Diallel analysis of tiller number at different growth stages in rice (Oryza sativa L.).

Y B Xu1, Z T Shen.   

Abstract

The genetics of tiller number at different development stages in rice was studied in a 6 x 6 diallel cross set involving six indica rice varieties in which a large difference of phenotypes existed. Estimates of genetic parameters following Hayman's method showed significant additive and nonadditive gene action, and the latter appeared to be solely due to dominance. High tillering ability was inherited as a partial dominant character conditioned by two or more blocks of genes, and var 'H1459' had more dominant genes, whereas 'Zhu-Yun-Luo' had more recessive ones. Combining ability analysis by Griffing's method also indicated significance of both additive and nonadditive effects, but the former was more important than the latter. 'H1459' and 'Bi-Yu-Zao-Luo' were good general combiners, and their hybrids 'H1459' x 'Le-Yi' and 'Zhu-Yun-Luo' x 'Bi-Yu-Zao-Luo' were better crosses for combining an optimum tiller number with high percentage of productive tiller. An identical polygenic system appeared to be responsible for the genetic control of both tiller number at the different growth stages and the terminal character, productive tiller number. However, with growth of the plant, relative contributions of nonadditive gene action and environmental factors to the variation decreased, while those of additive gene action increased. Selection for high tillering ability, therefore, should be exercised at peak tillering or later stages.

Entities:  

Year:  1991        PMID: 24202365     DOI: 10.1007/BF00226258

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  2 in total

1.  The Theory and Analysis of Diallel Crosses.

Authors:  B I Hayman
Journal:  Genetics       Date:  1954-11       Impact factor: 4.562

2.  A new selection criterion for yield in wheat.

Authors:  V P Kulshrestha; S Chowdhury
Journal:  Theor Appl Genet       Date:  1987-06       Impact factor: 5.699

  2 in total
  13 in total

1.  Functional mapping of quantitative trait loci associated with rice tillering.

Authors:  G F Liu; M Li; J Wen; Y Du; Y-M Zhang
Journal:  Mol Genet Genomics       Date:  2010-08-06       Impact factor: 3.291

2.  Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice.

Authors:  Guifu Liu; Ruizhen Zeng; Haitao Zhu; Zemin Zhang; Xiaohua Ding; Fangming Zhao; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-10-24       Impact factor: 5.699

3.  Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Authors:  Guifu Liu; Haitao Zhu; Shuwen Liu; Ruizhen Zeng; Zemin Zhang; Wentao Li; Xiaohua Ding; Fangming Zhao; Guiquan Zhang
Journal:  Genetica       Date:  2010-07-11       Impact factor: 1.082

4.  SASHAYDIALL: A SAS Program for Hayman's Diallel Analysis.

Authors:  Dan Makumbi; Gregorio Alvarado; José Crossa; Juan Burgueño
Journal:  Crop Sci       Date:  2018-06-14       Impact factor: 2.319

5.  Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.

Authors:  Xiaodong Wang; Hao Wang; Yan Long; Liezhao Liu; Yajun Zhao; Jianhua Tian; Weiguo Zhao; Baojun Li; Li Chen; Hongbo Chao; Maoteng Li
Journal:  Theor Appl Genet       Date:  2015-03-22       Impact factor: 5.699

6.  Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines.

Authors:  Guifu Liu; Haitao Zhu; Guiquan Zhang; Lanhai Li; Guoyou Ye
Journal:  Theor Appl Genet       Date:  2012-02-21       Impact factor: 5.699

7.  Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.).

Authors:  J D Ray; L Yu; S R McCouch; M C Champoux; G Wang; H T Nguyen
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

8.  Genetic changes in plant growth and their associations with chromosomes from Gossypium barbadense L. in G. hirsutum L.

Authors:  Jixiang Wu; Jack C McCarty; Sukumar Saha; Johnie N Jenkins; Russell Hayes
Journal:  Genetica       Date:  2009-01-20       Impact factor: 1.082

9.  Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population.

Authors:  Hong Xue; Xiaocui Tian; Kaixin Zhang; Wenbin Li; Zhongying Qi; Yanlong Fang; Xiyu Li; Yue Wang; Jie Song; Wen-Xia Li; Hailong Ning
Journal:  PLoS One       Date:  2019-11-20       Impact factor: 3.240

10.  Genome-Wide Association Study of the Genetic Basis of Effective Tiller Number in Rice.

Authors:  Mengmeng Ren; Minghan Huang; Haiyang Qiu; Yan Chun; Lu Li; Ashmit Kumar; Jingjing Fang; Jinfeng Zhao; Hang He; Xueyong Li
Journal:  Rice (N Y)       Date:  2021-06-25       Impact factor: 4.783

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