Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Boletin Medico Del Hospital Infantil De Mexico|November 1, 1993
[Zygomycosis in childhood. A report of 2 cases]R Figueroa-Damián, F E Torres-González
Genetics and Molecular Research : GMR|August 16, 2016
Clustering of soybean genotypes via Ward-MLM and ANNs associated with mixed modelsP E Teodoro, F E Torres, A M Corrêa
Genetics and Molecular Research : GMR|August 16, 2016
Selection of common bean (Phaseolus vulgaris L.) genotypes using a genotype plus genotype x environment interaction biplotA M Corrêa, P E Teodoro, M C Gonçalves, et al.
Genetics and Molecular Research : GMR|May 14, 2016
Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed modelsF E Torres, P E Teodoro, E V Rodrigues, et al.
Genetics and Molecular Research : GMR|May 14, 2016
Artificial intelligence in the selection of common bean genotypes with high phenotypic stabilityA M Corrêa, P E Teodoro, M C Gonçalves, et al.
Genetics and Molecular Research : GMR|May 14, 2016
Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypesP E Teodoro, F E Torres, A D Santos, et al.
Genetics and Molecular Research : GMR|May 14, 2016
Adaptability and phenotypic stability of common bean genotypes through Bayesian inferenceA M Corrêa, P E Teodoro, M C Gonçalves, et al.
Microscopy Research and Technique|December 5, 2020
Micro-CT evaluation of filling of flattened root canals using a new premixed ready-to-use calcium silicate sealer by single-cone techniqueKarina I M C Tavares, Jáder C Pinto, Airton O Santos-Junior, et al.
Genetics and Molecular Research : GMR|November 8, 2016
Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stabilityL M A Barroso, P E Teodoro, M Nascimento, et al.
Pageof 2