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Be-Breeder 2.0 provides a series of functions and tools for phenotypic and molecular analyses to simulate and compare a wide range of breeding scenarios.

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Description:

Be-Breeder 2.0 is a R/Shiny application for statistical analysis and plant breeding developed by Laboratory of Allogamous Plant Breeding group - Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of Sao Paulo, Brazil.



Contents:

1. Learning:

Experimental Analysis, Diallel Analysis, Index Selection, Correlation Analysis, Path Analysis, Biplot Anal-ysis, and Experiment Designs. Based on the data collected from their own experiments, users may perform statistical tests regard-ing the design adopted and the variables evaluated.

2. Phenotypic breeding:

Experiment Designs, Experimental Design Analysis, Index Selection, Path Analysis, Diallel Analysis, Correlation Analysis, and GGE-Biplot analysis. Based on the data collected from their own experiments, users may perform statistical tests regarding the design adopted and the variables evaluated.

3. Molecular breeding:

Quality control of genotyping data, Genomic selection, Genomic Association Analysis Studies (GWAS), and Diversity Analysis. Specifically, in the latter, we included the subtopic Discriminant Analysis, concerning the evaluation of the divergence at individual or population levels.

Credits:

Dr. Filipe Inacio Matias, Dr. Roberto Fritsche Neto, and Ph.D. students Julia Silva Morosini and Fernando Garcia Espolador

License:

This app is free for online use, just the intellectual property is reserved in periodicals by scientific citations of Be-Breeder papers.

  1. Matias FI, Morosini JS, Espolador FG, Fritsche-Neto R (2019) Be-breeder 2.0: a web application for genetic analyses in a plant breeding context. Crop Science. 59:1371-1373. http://dx.doi.org/10.2135/cropsci2018.10.0621le
  2. Matias, Filipe Inacio; Granato, Italo Stefanine Correa; Fritsche-Neto, Roberto. (2018). Be-Breeder: an R/Shiny application for phenotypic data analyses in plant breeding. Crop Breeding and Applied Biotechnology, 18:241-243. http://dx.doi.org/10.1590/1984-70332018v18n2s36
  3. Matias, Filipe Inacio, Granato, Italo Stefanine Correa, Dequigiovanni, Gabriel, & Fritsche-Neto, Roberto. (2017). Be-Breeder - an application for analysis of genomic data in plant breeding. Crop Breeding and Applied Biotechnology, 17(1):54-58 https://dx.doi.org/10.1590/1984-70332017v17n1n8
  4. Fritsche-Neto, Roberto, & Matias, Filipe Inacio. (2016). Be-Breeder - Learning: a new tool for teaching and learning plant breeding principles. Crop Breeding and Applied Biotechnology, 16(3):240-245 https://dx.doi.org/10.1590/1984-70332016v16n3n36

Contact:

Laboratory of Allogamous Plant Breeding, Department of Genetic, USP/ESALQ/Brazil

E-mail:

  1. filipematias23@gmail.com
  2. roberto.neto@usp.br
  3. julia.morosini@usp.br

Avenida Padua Dias, 11 - Caixa Postal 83, CEP: 13418-900 - Piracicaba - Sao Paulo - Brasil

Phone: +55 (19) 3429-4125 Line 45

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Be-Breeder 2.0 provides a series of functions and tools for phenotypic and molecular analyses to simulate and compare a wide range of breeding scenarios.

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