Literature DB >> 23232576

Evaluation of the use of high-density SNP genotyping to implement UPOV Model 2 for DUS testing in barley.

Huw Jones1, Carol Norris, David Smith, James Cockram, David Lee, Donal M O'Sullivan, Ian Mackay.   

Abstract

Developments in high-throughput genotyping provide an opportunity to explore the application of marker technology in distinctness, uniformity and stability (DUS) testing of new varieties. We have used a large set of molecular markers to assess the feasibility of a UPOV Model 2 approach: "Calibration of threshold levels for molecular characteristics against the minimum distance in traditional characteristics". We have examined 431 winter and spring barley varieties, with data from UK DUS trials comprising 28 characteristics, together with genotype data from 3072 SNP markers. Inter varietal distances were calculated and we found higher correlations between molecular and morphological distances than have been previously reported. When varieties were grouped by kinship, phenotypic and genotypic distances of these groups correlated well. We estimated the minimum marker numbers required and showed there was a ceiling after which the correlations do not improve. To investigate the possibility of breaking through this ceiling, we attempted genomic prediction of phenotypes from genotypes and higher correlations were achieved. We tested distinctness decisions made using either morphological or genotypic distances and found poor correspondence between each method.

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Year:  2012        PMID: 23232576     DOI: 10.1007/s00122-012-2024-2

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


  6 in total

1.  Molecular markers for establishing distinctness in vegetatively propagated crops: a case study in grapevine.

Authors:  Javier Ibáñez; M Dolores Vélez; M Teresa de Andrés; Joaquín Borrego
Journal:  Theor Appl Genet       Date:  2009-08-13       Impact factor: 5.699

2.  L1 penalized estimation in the Cox proportional hazards model.

Authors:  Jelle J Goeman
Journal:  Biom J       Date:  2010-02       Impact factor: 2.207

Review 3.  The emergence of whole genome association scans in barley.

Authors:  Robbie Waugh; Jean-Luc Jannink; Gary J Muehlbauer; Luke Ramsay
Journal:  Curr Opin Plant Biol       Date:  2009-04       Impact factor: 7.834

4.  Genome-wide association mapping to candidate polymorphism resolution in the unsequenced barley genome.

Authors:  James Cockram; Jon White; Diana L Zuluaga; David Smith; Jordi Comadran; Malcolm Macaulay; Zewei Luo; Mike J Kearsey; Peter Werner; David Harrap; Chris Tapsell; Hui Liu; Peter E Hedley; Nils Stein; Daniela Schulte; Burkhard Steuernagel; David F Marshall; William T B Thomas; Luke Ramsay; Ian Mackay; David J Balding; Robbie Waugh; Donal M O'Sullivan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-29       Impact factor: 11.205

5.  Development and implementation of high-throughput SNP genotyping in barley.

Authors:  Timothy J Close; Prasanna R Bhat; Stefano Lonardi; Yonghui Wu; Nils Rostoks; Luke Ramsay; Arnis Druka; Nils Stein; Jan T Svensson; Steve Wanamaker; Serdar Bozdag; Mikeal L Roose; Matthew J Moscou; Shiaoman Chao; Rajeev K Varshney; Péter Szucs; Kazuhiro Sato; Patrick M Hayes; David E Matthews; Andris Kleinhofs; Gary J Muehlbauer; Joseph DeYoung; David F Marshall; Kavitha Madishetty; Raymond D Fenton; Pascal Condamine; Andreas Graner; Robbie Waugh
Journal:  BMC Genomics       Date:  2009-12-04       Impact factor: 3.969

6.  Evaluation of diagnostic molecular markers for DUS phenotypic assessment in the cereal crop, barley (Hordeum vulgare ssp. vulgare L.).

Authors:  James Cockram; Huw Jones; Carol Norris; Donal M O'Sullivan
Journal:  Theor Appl Genet       Date:  2012-08-17       Impact factor: 5.699

  6 in total
  10 in total

1.  Implications of using genomic prediction within a high-density SNP dataset to predict DUS traits in barley.

Authors:  Huw Jones; Ian Mackay
Journal:  Theor Appl Genet       Date:  2015-09-08       Impact factor: 5.699

Review 2.  Insights into deployment of DNA markers in plant variety protection and registration.

Authors:  Seyed Hossein Jamali; James Cockram; Lee T Hickey
Journal:  Theor Appl Genet       Date:  2019-05-02       Impact factor: 5.699

3.  Artificial Selection Trend of Wheat Varieties Released in Huang-Huai-Hai Region in China Evaluated Using DUS Testing Characteristics.

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Journal:  Front Plant Sci       Date:  2022-06-10       Impact factor: 6.627

4.  Genome-wide SNP discovery and core marker sets for assessment of genetic variations in cultivated pumpkin (Cucurbita spp.).

Authors:  Nam Ngoc Nguyen; Minkyung Kim; Jin-Kee Jung; Eun-Jo Shim; Sang-Min Chung; Younghoon Park; Gung Pyo Lee; Sung-Chur Sim
Journal:  Hortic Res       Date:  2020-08-01       Impact factor: 6.793

5.  Overcoming barriers to the registration of new plant varieties under the DUS system.

Authors:  Chin Jian Yang; Joanne Russell; Luke Ramsay; William Thomas; Wayne Powell; Ian Mackay
Journal:  Commun Biol       Date:  2021-03-08

Review 6.  Plant Variety Protection: Current Practices and Insights.

Authors:  Ju-Kyung Yu; Yong-Suk Chung
Journal:  Genes (Basel)       Date:  2021-07-25       Impact factor: 4.096

7.  Whole Genome Sequencing and Morphological Trait-Based Evaluation of UPOV Option 2 for DUS Testing in Rice.

Authors:  Hong Liu; Dehua Rao; Tao Guo; Sunil S Gangurde; Yanbin Hong; Mengqiang Chen; Zhanquan Huang; Yuan Jiang; Zhenjiang Xu; Zhiqiang Chen
Journal:  Front Genet       Date:  2022-08-26       Impact factor: 4.772

8.  Genome-wide association mapping of Hagberg falling number, protein content, test weight, and grain yield in U.K. wheat.

Authors:  Jon White; Rajiv Sharma; David Balding; James Cockram; Ian J Mackay
Journal:  Crop Sci       Date:  2022-03-04       Impact factor: 2.763

9.  Development of SLAF-Sequence and Multiplex SNaPshot Panels for Population Genetic Diversity Analysis and Construction of DNA Fingerprints for Sugarcane.

Authors:  Hui Zhang; Pingping Lin; Yanming Liu; Chaohua Huang; Guoqiang Huang; Hongtao Jiang; Liangnian Xu; Muqing Zhang; Zuhu Deng; Xinwang Zhao
Journal:  Genes (Basel)       Date:  2022-08-19       Impact factor: 4.141

10.  Development of GBTS and KASP Panels for Genetic Diversity, Population Structure, and Fingerprinting of a Large Collection of Broccoli (Brassica oleracea L. var. italica) in China.

Authors:  Yusen Shen; Jiansheng Wang; Ranjan K Shaw; Huifang Yu; Xiaoguang Sheng; Zhenqing Zhao; Sujuan Li; Honghui Gu
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

  10 in total

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