Literature DB >> 30818447

Biplot Analysis of Host-by-Pathogen Data.

Weikai Yan1, Duane E Falk1.   

Abstract

Effective breeding for disease resistance relies on a thorough understanding of host-by-pathogen relations. Achieving such understanding can be difficult and challenging, particularly for large data sets with complex host genotype-by-pathogen strain interactions. This paper presents a biplot approach that facilitates visual analysis of host-by-pathogen data. A biplot displays both host genotypes and pathogen isolates in a single scatter plot; each genotype or isolate is displayed as a point defined by its scores on the first two principal components derived from subjecting genotype- or strain-centered data to singular value decomposition. From a biplot, clusters of host genotypes and clusters of pathogen strains can be simultaneously visualized. Moreover, the basis for genotype and strain classifications, i.e., interactions between individual genotypes and strains, can be visualized at the same time. A biplot based on genotype-centered data and that based on strain-centered data are appropriate for visual evaluation of susceptibility/resistance of genotypes and virulence/avirulence of strains, respectively. Biplot analysis of genotype-by-strain is illustrated with published response scores of 13 barley line groups to 8 net blotch isolate groups.

Entities:  

Keywords:  GGE biplot; genotype-by-environment interaction; genotype-by-strain interaction; host-by-pathogen interaction

Year:  2002        PMID: 30818447     DOI: 10.1094/PDIS.2002.86.12.1396

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  5 in total

1.  Deois flexuosa (Hemiptera: Cercopidae) in Perennial Forage Species (Poaceae): Quali-quantitative Impacts and Tolerance Expression.

Authors:  Leandro do Prado Ribeiro; Dylan Thomas Telles Amandio; Adriana Lídia Santana Klock; Cristiano Nunes Nesi; Ângela Fonseca Rech; Edson Luiz Lopes Baldin
Journal:  Neotrop Entomol       Date:  2022-08-09       Impact factor: 1.650

2.  Delineation of Genotype-by-Environment interactions for identification and validation of resistant genotypes in mungbean to root-knot nematode (Meloidogyne incognita) using GGE biplot.

Authors:  Bansa Singh; Arpita Das; A K Parihar; B Bhagawati; Deepak Singh; K N Pathak; Kusum Dwivedi; Niranjan Das; Nishi Keshari; R L Midha; Raju Kumar; Aditya Pratap; Vaibhav Kumar; Sanjeev Gupta
Journal:  Sci Rep       Date:  2020-03-05       Impact factor: 4.379

3.  Breeding for higher yield, early maturity, wider adaptability and waterlogging tolerance in soybean (Glycine max L.): A case study.

Authors:  Shivakumar Maranna; Vennampally Nataraj; Giriraj Kumawat; Subhash Chandra; Vangala Rajesh; Rajkumar Ramteke; Ram Manohar Patel; Milind B Ratnaparkhe; S M Husain; Sanjay Gupta; Nita Khandekar
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

4.  Distribution and pathogenic diversity in Fusarium udum Butler isolates: the causal agent of pigeonpea Fusarium wilt.

Authors:  Ravikumara B M; Ramanagouda G; M K Naik; Rameshwar Telangre; Mamta Sharma
Journal:  BMC Plant Biol       Date:  2022-03-26       Impact factor: 4.215

5.  Deciphering Genotype-By-Environment Interaction for Target Environmental Delineation and Identification of Stable Resistant Sources Against Foliar Blast Disease of Pearl Millet.

Authors:  S Mukesh Sankar; S P Singh; G Prakash; C Tara Satyavathi; S L Soumya; Yashpal Yadav; L D Sharma; A R Rao; Nirupma Singh; Rakesh K Srivastava
Journal:  Front Plant Sci       Date:  2021-05-17       Impact factor: 5.753

  5 in total

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