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L L Bhering

Showing results (1-10 of 21) with videos related to

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Genetics and Molecular Research : GMR|November 26, 2016
Determination of the optimal number of markers and individuals in a training population necessary for maximum prediction accuracy in F<sub>2</sub> populations by using genomic selection modelsL A Peixoto, L L Bhering, C D Cruz
Genetics and Molecular Research : GMR|July 1, 2015
Artificial neural networks reveal efficiency in genetic value predictionL A Peixoto, L L Bhering, C D Cruz
Micron (Oxford, England : 1993)|April 27, 2002
FMRFamide-like midgut endocrine cells during the metamorphosis in Melipona quadrifasciata anthidioides (Hymenoptera, Apidae)C A Neves, L L Bhering, J E Serrão, et al.
Genetics and Molecular Research : GMR|September 25, 2015
Comparison of methods used to identify superior individuals in genomic selection in plant breedingL L Bhering, V S Junqueira, L A Peixoto, et al.
Genetics and Molecular Research : GMR|October 6, 2016
Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regionsP E Teodoro, L L Bhering, R D Costa, et al.
Genetics and Molecular Research : GMR|September 9, 2015
Superiority of artificial neural networks for a genetic classification procedureI C Sant'Anna, R S Tomaz, G N Silva, et al.
Genetics and Molecular Research : GMR|March 25, 2017
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in JatrophaP E Teodoro, E V Rodrigues, L A Peixoto, et al.
Genetics and Molecular Research : GMR|March 25, 2017
Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yieldL A Silva, L A Peixoto, P E Teodoro, et al.
Genetics and Molecular Research : GMR|October 6, 2016
Biplot analysis of strawberry genotypes recommended for the State of Espírito SantoA F Costa, P E Teodoro, L L Bhering, et al.
Genetics and Molecular Research : GMR|June 15, 2017
Minimum number of measurements for evaluating soursop (Annona muricata L.) yieldC F B Sánchez, P E Teodoro, S Londoño, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Genetics and Molecular Research : GMR|November 26, 2016
Determination of the optimal number of markers and individuals in a training population necessary for maximum prediction accuracy in F<sub>2</sub> populations by using genomic selection modelsL A Peixoto, L L Bhering, C D Cruz
Genetics and Molecular Research : GMR|July 1, 2015
Artificial neural networks reveal efficiency in genetic value predictionL A Peixoto, L L Bhering, C D Cruz
Micron (Oxford, England : 1993)|April 27, 2002
FMRFamide-like midgut endocrine cells during the metamorphosis in Melipona quadrifasciata anthidioides (Hymenoptera, Apidae)C A Neves, L L Bhering, J E Serrão, et al.
Genetics and Molecular Research : GMR|September 25, 2015
Comparison of methods used to identify superior individuals in genomic selection in plant breedingL L Bhering, V S Junqueira, L A Peixoto, et al.
Genetics and Molecular Research : GMR|October 6, 2016
Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regionsP E Teodoro, L L Bhering, R D Costa, et al.
Genetics and Molecular Research : GMR|September 9, 2015
Superiority of artificial neural networks for a genetic classification procedureI C Sant'Anna, R S Tomaz, G N Silva, et al.
Genetics and Molecular Research : GMR|March 25, 2017
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in JatrophaP E Teodoro, E V Rodrigues, L A Peixoto, et al.
Genetics and Molecular Research : GMR|March 25, 2017
Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yieldL A Silva, L A Peixoto, P E Teodoro, et al.
Genetics and Molecular Research : GMR|October 6, 2016
Biplot analysis of strawberry genotypes recommended for the State of Espírito SantoA F Costa, P E Teodoro, L L Bhering, et al.
Genetics and Molecular Research : GMR|June 15, 2017
Minimum number of measurements for evaluating soursop (Annona muricata L.) yieldC F B Sánchez, P E Teodoro, S Londoño, et al.
Pageof 3