EFFICIENCY OF SELECTION INDEXES USING THE REML/BLUP PROCEDURE IN SUGARCANE BREEDING

Authors

  • Cássia Ângela PEDROZO UFV
  • Flávio Rodrigo Gandolfi BENITES UFV
  • Márcio Henrique Pereira BARBOSA UFV
  • Marcos Deon Vilela de RESENDE
  • Felipe Lopes da SILVA UFV

DOI:

https://doi.org/10.5380/rsa.v10i1.11711

Keywords:

valores genotípicos preditos, geração clonal, modelos mistos, predicted genotypic values, clonal generation, mixed model.

Abstract

This study aimed to compare the efficiency of three selection indexes constructed from the estimated variance components and predicted genotypic values by the REML/BLUP procedure, on three first clonal populations in sugarcane. The populations were evaluated at the experimental area of the Sugarcane Research and Breeding Center – CECA of the Federal University of Viçosa, using the augmented block design. The traits number of stems per meter (NSM), average stem mass (ASW), total soluble solids content (BRIX) and  production of BRIX per hectare (TBH) were evaluated in the cane plant and sugar cane ratoon-cycle in the A and B populations and the cane plant in the C population. The first three traits were used to construct the following selection indexes: classic index, multiplicative index and the index based on sum of ranks. The genetic-statistics analyses were carried by the GENES and Selegen - REM/BLUP programs. The multiplicative index showed higher selection efficiency as it presented larger coefficient of coincidence of genotypes selected with the selection strategy for TBH, larger direct gains from selection and larger indirect gains for TBH. However, the rate of selection efficiency of a certain index should be considered as an intrinsic characteristic of the studied population.

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Published

2009-01-01

How to Cite

PEDROZO, C. Ângela, BENITES, F. R. G., BARBOSA, M. H. P., RESENDE, M. D. V. de, & SILVA, F. L. da. (2009). EFFICIENCY OF SELECTION INDEXES USING THE REML/BLUP PROCEDURE IN SUGARCANE BREEDING. Scientia Agraria, 10(1), 031–036. https://doi.org/10.5380/rsa.v10i1.11711

Issue

Section

Crop Science