Mixed models

Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum)

C. A. Ticona-Benavente and Filho, D. Fda Silva, Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum), vol. 14, pp. 18421-18430, 2015.

The use of best linear unbiased prediction/restricted maximum likelihood (BLUP/REML) in perennial crops and animal breeding enhances selection gain. However, its advantage with respect to annual crops is not clear. We compared the BLUP and best linear unbiased estimator selection efficiency in the breeding of various potato generations. This was done by simulating various selection intensities on clonal families (full sibs), and clones. The characters evaluated were tuber yield and tuber specific gravity.

Genetic parameters and prediction of genotypic values for root quality traits in cassava using REML/BLUP

E. J. Oliveira, Santana, F. A., Oliveira, L. A., and Santos, V. S., Genetic parameters and prediction of genotypic values for root quality traits in cassava using REML/BLUP, vol. 13, pp. 6683-6700, 2014.

The aim of this study was to estimate the genetic parameters and predict the genotypic values of root quality traits in cassava (Manihot esculenta Crantz) using restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP). A total of 471 cassava accessions were evaluated over two years of cultivation. The evaluated traits included amylose content (AML), root dry matter (DMC), cyanogenic compounds (CyC), and starch yield (StYi).

Prediction of maize hybrid performance using similarity in state and similarity by descent information

D. V. Ferreira, Von Pinho, R. G., Balestre, M., and Oliveira, R. L., Prediction of maize hybrid performance using similarity in state and similarity by descent information, vol. 9, pp. 2381-2394, 2010.

We evaluated the efficiency of the best linear unbiased predictor (BLUP) and the influence of the use of similarity in state (SIS) and similarity by descent (SBD) in the prediction of untested maize hybrids. Nine inbred lines of maize were crossed using a randomized complete diallel method. These materials were genotyped with 48 microsatellite markers (SSR) associated with the QTL regions for grain yield.

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