Published July 5, 2021 | Version v2
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Supplementary Materials - Agriculture - Manuscript: Genetic variability, correlation among agronomic traits, and genetic progress in a sugarcane diversity panel

Creators

  • 1. Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universi-dade Federal de São Carlos, Araras, São Paulo, CEP 13.604-900, Brasil
  • 2. Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, São Paulo, CEP 13418-260, Brasil
  • 3. Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Cam-pinas, São Paulo, CEP 13083-862, Brasil and Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, São Paulo, CEP 13083-862, Brasil

Description

Type of the Paper (Article): Genetic variability, correlation among agronomic traits and genetic progress in a sugarcane diversity panel

Table S1. Accessions names, ancestor germplasm or breeding germplasm (BP) and origin country of the 254 accessions of the Brazilian Panel of Sugarcane Genotypes (BPSG).

Table S2. Selected models for the  matrix and number of estimated parameters () considering each trait separately. The Akaike (AIC) and Bayesian (BIC) information criteria were used to compare the structures of the variance-covariance matrix. The models for the  matrix were selected according to the lowest value of the BIC criterion for BRIX (in °Brix), sucrose content of the cane (POL%C, in %), sucrose content of the juice (POL%J, in %), fiber content (FIB, in %), stalk height (SH, in m), stalk number (SN), stalk diameter (SD, in mm), stalk weight of the plot (SW, in kg), cane yield (TCH, in t ha–1) and sucrose yield (TPH, in t ha–1) for BPSG over three harvest years (2014, 2015 and 2016). Bold numbers represent the smallest AIC and BIC values.

Table S3. Spreadsheet with raw data for the 10 traits evaluated in the present study.

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