Literature DB >> 25189236

Gene interactions and genetics of blast resistance and yield attributes in rice (Oryza sativa L.).

B Divya1, A Biswas, S Robin, R Rabindran, A John Joel.   

Abstract

Blast disease caused by the pathogen Pyricularia oryzae is a serious threat to rice production. Six generations viz., P1, P2, F1, F2, B1 and B2 of a cross between blast susceptible high-yielding rice cultivar ADT 43 and resistant near isogenic line (NIL) CT13432-3R, carrying four blast resistance genes Pi1, Pi2, Pi33 and Pi54 in combination were used to study the nature and magnitude of gene action for disease resistance and yield attributes. The epistatic interaction model was found adequate to explain the gene action in most of the traits. The interaction was complementary for number of productive tillers, economic yield, lesion number, infected leaf area and potential disease incidence but duplicate epistasis was observed for the remaining traits. Among the genotypes tested under epiphytotic conditions, gene pyramided lines were highly resistant to blast compared to individuals with single genes indicating that the nonallelic genes have a complementary effect when present together. The information on genetics of various contributing traits of resistance will further aid plant breeders in choosing appropriate breeding strategy for blast resistance and yield enhancement in rice.

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Year:  2014        PMID: 25189236     DOI: 10.1007/s12041-014-0395-7

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  10 in total

1.  Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations.

Authors:  H W Mei; L J Luo; C S Ying; Y P Wang; X Q Yu; L B Guo; A H Paterson; Z K Li
Journal:  Theor Appl Genet       Date:  2003-04-30       Impact factor: 5.699

2.  The separation of epistatic from additive and dominance variation in generation means. II.

Authors:  B I HAYMAN
Journal:  Genetica       Date:  1960       Impact factor: 1.082

3.  Gene actions at loci underlying several quantitative traits in two elite rice hybrids.

Authors:  Lanzhi Li; Kaiyang Lu; Zhaoming Chen; Tongmin Mou; Zhongli Hu; Xinqi Li
Journal:  Mol Genet Genomics       Date:  2010-09-23       Impact factor: 3.291

4.  What it will take to feed 5.0 billion rice consumers in 2030.

Authors:  Gurdev S Khush
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

5.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

6.  Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two backcross populations.

Authors:  H W Mei; Z K Li; Q Y Shu; L B Guo; Y P Wang; X Q Yu; C S Ying; L J Luo
Journal:  Theor Appl Genet       Date:  2005-01-13       Impact factor: 5.699

7.  Estimation of the Components of Heterosis.

Authors:  J L Jinks; R M Jones
Journal:  Genetics       Date:  1958-03       Impact factor: 4.562

8.  RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar.

Authors:  G L Wang; D J Mackill; J M Bonman; S R McCouch; M C Champoux; R J Nelson
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

9.  Identification of heterotic loci associated with yield-related traits in Chinese common wild rice (Oryza rufipogon Griff.).

Authors:  Xiaojin Luo; Shuang Wu; Feng Tian; Xiaoyun Xin; Xiaojun Zha; Xianxin Dong; Yongcai Fu; Xiangkun Wang; Jinshui Yang; Chuanqing Sun
Journal:  Plant Sci       Date:  2011-01-08       Impact factor: 4.729

Review 10.  Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize.

Authors:  Roberto Tuberosa; Silvio Salvi; Maria Corinna Sanguineti; Pierangelo Landi; Marco Maccaferri; Sergio Conti
Journal:  Ann Bot       Date:  2002-06       Impact factor: 4.357

  10 in total
  5 in total

1.  Linkage of SSR markers with rice blast resistance and development of partial resistant advanced lines of rice (Oryza sativa) through marker-assisted selection.

Authors:  Sheikh Arafat Islam Nihad; Mohammad Abdul Latif; Mohammad Kamrul Hasan; Amirul Kabir; Md Al-Imran Hasan; Md Rejwan Bhuiyan; Mohd Rafii Yusop
Journal:  Physiol Mol Biol Plants       Date:  2022-02-05

2.  No yield penalty under favorable conditions paving the way for successful adoption of flood tolerant rice.

Authors:  Manzoor H Dar; Najam W Zaidi; Showkat A Waza; Satish B Verulkar; T Ahmed; P K Singh; S K Bardhan Roy; Bedanand Chaudhary; Rambaran Yadav; Mirza Mofazzal Islam; Khandakar M Iftekharuddaula; J K Roy; R M Kathiresan; B N Singh; Uma S Singh; Abdelbagi M Ismail
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

Review 3.  Understanding the Dynamics of Blast Resistance in Rice-Magnaporthe oryzae Interactions.

Authors:  Basavantraya N Devanna; Priyanka Jain; Amolkumar U Solanke; Alok Das; Shallu Thakur; Pankaj K Singh; Mandeep Kumari; Himanshu Dubey; Rajdeep Jaswal; Deepak Pawar; Ritu Kapoor; Jyoti Singh; Kirti Arora; Banita Kumari Saklani; Chandrappa AnilKumar; Sheshu Madhav Maganti; Humira Sonah; Rupesh Deshmukh; Rajeev Rathour; Tilak Raj Sharma
Journal:  J Fungi (Basel)       Date:  2022-05-30

4.  Conversion between 100-million-year-old duplicated genes contributes to rice subspecies divergence.

Authors:  Chendan Wei; Zhenyi Wang; Jianyu Wang; Jia Teng; Shaoqi Shen; Qimeng Xiao; Shoutong Bao; Yishan Feng; Yan Zhang; Yuxian Li; Sangrong Sun; Yuanshuai Yue; Chunyang Wu; Yanli Wang; Tianning Zhou; Wenbo Xu; Jigao Yu; Li Wang; Jinpeng Wang
Journal:  BMC Genomics       Date:  2021-06-19       Impact factor: 3.969

5.  Genomic heritability estimates in sweet cherry reveal non-additive genetic variance is relevant for industry-prioritized traits.

Authors:  Julia Piaskowski; Craig Hardner; Lichun Cai; Yunyang Zhao; Amy Iezzoni; Cameron Peace
Journal:  BMC Genet       Date:  2018-04-10       Impact factor: 2.797

  5 in total

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