Comparison of different selection methods in the seedling stage of sugarcane breeding

Author:

Cursi Danilo Eduardo12ORCID,Cox Mike C.3,de Oliveira Anoni Carina1,Hoffmann Hermann Paulo24ORCID,Gazaffi Rodrigo24ORCID,Garcia Antonio Augusto Franco1ORCID

Affiliation:

1. Luiz de Queiroz College of Agriculture University of São Paulo (ESALQ/USP) Piracicaba SP 13418‐900 Brazil

2. Sugarcane Breeding Program of RIDESA/UFSCar Araras SP 13600‐970 Brazil

3. Former Sugar Research Australia Principal Scientist (Retired) 53 Stevenson Street Bundaberg Queensland 4670 Australia

4. Department of Biotechnology Vegetal and Animal Production Federal University of São Carlos Araras SP 13600‐970 Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Agronomy and Crop Science

Reference57 articles.

1. A new look at the statistical model identification

2. Mixed modeling of yield components and brown rust resistance in sugarcane families;Balsalobre T. W. A.;Biometry, Modeling & Statistics, Agronomy Journal,2016

3. GBS‐based single dosage markers for linkage and QTL mapping allow gene mining for yield‐related traits in sugarcane;Balsalobre T. W.;Bmc Genomics [Electronic Resource],2017

4. Use of REML/BLUP for the selection of sugarcane families specialized in biomass production;Barbosa M. H. P.;Crop Breeding and Applied Biotechnology,2004

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