REML/BLUP

Mixed models identify physic nut genotypes adapted to environments with different phosphorus availability

P. E. Teodoro, Laviola, B. G., Martins, L. D., Amaral, J. F. T., Rodrigues, W. N., Teodoro, P. E., Laviola, B. G., Martins, L. D., Amaral, J. F. T., and Rodrigues, W. N., Mixed models identify physic nut genotypes adapted to environments with different phosphorus availability, vol. 15, p. -, 2016.

The aim of this study was to screen physic nut (Jatropha curcas) genotypes that differ in their phosphorous (P) use, using mixed models. The experiment was conducted in a greenhouse located in the experimental area of the Centro de Ciências Agrárias of the Universidade Federal do Espírito Santo, in Alegre, ES, Brazil. The experiment was arranged in a randomized block design, using a 10 x 3-factorial scheme, including ten physic nut genotypes and two environments that differed in their levels of soil P availability (10 and 60 mg/dm3), each with four replications.

Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions

P. E. Teodoro, Bhering, L. L., Costa, R. D., Rocha, R. B., Laviola, B. G., Teodoro, P. E., Bhering, L. L., Costa, R. D., Rocha, R. B., and Laviola, B. G., Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions, vol. 15, p. -, 2016.

The aim of this study was to estimate genetic parameters via mixed models and simultaneously to select Jatropha progenies grown in three regions of Brazil that meet high adaptability and stability. From a previous phenotypic selection, three progeny tests were installed in 2008 in the municipalities of Planaltina-DF (Midwest), Nova Porteirinha-MG (Southeast), and Pelotas-RS (South). We evaluated 18 families of half-sib in a randomized block design with three replications. Genetic parameters were estimated using restricted maximum likelihood/best linear unbiased prediction.

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