Literature DB >> 21367649

Combining phenotypic data from ordinal rating scales in multiple plant experiments.

Ivan Simko, Hans-Peter Piepho.   

Abstract

Mesh：

Year:  2011        PMID： 21367649     DOI： 10.1016/j.tplants.2011.02.001

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN： 1360-1385            Impact factor:   18.313


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  5 in total

1.  Genome-wide association mapping reveals genomic regions frequently associated with lettuce field resistance to downy mildew.

Authors:  Ivan Simko; Hui Peng; Jinita Sthapit Kandel; Rebecca Zhao
Journal:  Theor Appl Genet       Date:  2022-04-13       Impact factor: 5.699

2.  Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment.

Authors:  Kauê de Sousa; Jacob van Etten; Jesse Poland; Carlo Fadda; Jean-Luc Jannink; Yosef Gebrehawaryat Kidane; Basazen Fantahun Lakew; Dejene Kassahun Mengistu; Mario Enrico Pè; Svein Øivind Solberg; Matteo Dell'Acqua
Journal:  Commun Biol       Date:  2021-08-19

3.  The first genetic map of the American cranberry: exploration of synteny conservation and quantitative trait loci.

Authors:  Laura Georgi; Jennifer Johnson-Cicalese; Josh Honig; Sushma Parankush Das; Veeran D Rajah; Debashish Bhattacharya; Nahla Bassil; Lisa J Rowland; James Polashock; Nicholi Vorsa
Journal:  Theor Appl Genet       Date:  2012-12-08       Impact factor: 5.699

4.  Identification of QTLs conferring resistance to downy mildew in legacy cultivars of lettuce.

Authors:  Ivan Simko; Amy J Atallah; Oswaldo E Ochoa; Rudie Antonise; Carlos H Galeano; Maria Jose Truco; Richard W Michelmore
Journal:  Sci Rep       Date:  2013-10-07       Impact factor: 4.379

5.  Molecular markers reliably predict post-harvest deterioration of fresh-cut lettuce in modified atmosphere packaging.

Authors:  Ivan Simko; Ryan J Hayes; Maria-Jose Truco; Richard W Michelmore; Rudie Antonise; Mark Massoudi
Journal:  Hortic Res       Date:  2018-04-01       Impact factor: 6.793
  5 in total

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