These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

78 related articles for article (PubMed ID: 26985961)

  • 1. Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability.
    Barroso LM; Teodoro PE; Nascimento M; Torres FE; Dos Santos A; Corrêa AM; Sagrilo E; Corrêa CC; Silva FA; Ceccon G
    Genet Mol Res; 2016 Mar; 15(1):15017625. PubMed ID: 26985961
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptability and phenotypic stability of common bean genotypes through Bayesian inference.
    Corrêa AM; Teodoro PE; Gonçalves MC; Barroso LM; Nascimento M; Santos A; Torres FE
    Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173270
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability.
    Barroso LM; Teodoro PE; Nascimento M; Torres FE; Nascimento AC; Azevedo CF; Teixeira FR
    Genet Mol Res; 2016 Nov; 15(4):. PubMed ID: 27820651
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simultaneous selection for cowpea (Vigna unguiculata L.) genotypes with adaptability and yield stability using mixed models.
    Torres FE; Teodoro PE; Rodrigues EV; Santos A; Corrêa AM; Ceccon G
    Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173301
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Adaptability and stability evaluation of maize hybrids using Bayesian segmented regression models.
    Oliveira TRA; Carvalho HWL; Nascimento M; Costa EFN; Oliveira GHF; Gravina GA; Junior ATA; Filho JLSC
    PLoS One; 2020; 15(7):e0236571. PubMed ID: 32730284
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence in the selection of common bean genotypes with high phenotypic stability.
    Corrêa AM; Teodoro PE; Gonçalves MC; Barroso LM; Nascimento M; Santos A; Torres FE
    Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173300
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypes.
    Teodoro PE; Torres FE; Santos AD; Corrêa AM; Nascimento M; Barroso LM; Ceccon G
    Genet Mol Res; 2016 May; 15(2):. PubMed ID: 27173351
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian GGE biplot models applied to maize multi-environments trials.
    de Oliveira LA; da Silva CP; Nuvunga JJ; da Silva AQ; Balestre M
    Genet Mol Res; 2016 Jun; 15(2):. PubMed ID: 27323201
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genetic parameters and path analysis in cowpea genotypes grown in the Cerrado/Pantanal ecotone.
    Lopes KV; Teodoro PE; Silva FA; Silva MT; Fernandes RL; Rodrigues TC; Faria TC; Corrêa AM
    Genet Mol Res; 2017 May; 16(2):. PubMed ID: 28525655
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of sorghum hybrids with high phenotypic stability using GGE biplot methodology.
    Teodoro PE; Almeida Filho JE; Daher RF; Menezes CB; Cardoso MJ; Godinho VP; Torres FE; Tardin FD
    Genet Mol Res; 2016 Jun; 15(2):. PubMed ID: 27323167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Selection for wide adaptability and high phenotypic stability of Brazilian soybean genotypes.
    Oliveira VM; Hamawaki OT; Nogueira AO; Sousa LB; Santos FM; Hamawaki RL
    Genet Mol Res; 2016 Mar; 15(1):. PubMed ID: 27051037
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genotype by environment interaction and yield stability of cowpea (
    Goa Y; Mohammed H; Worku W; Urage E
    Heliyon; 2022 Mar; 8(3):e09013. PubMed ID: 35309407
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models.
    Alves RS; Teodoro PE; Farias FC; Farias FJC; Carvalho LP; Rodrigues JIS; Bhering LL; Resende MDV
    Genet Mol Res; 2017 Aug; 16(3):. PubMed ID: 28829902
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of adaptability and stability for iron, zinc and protein content in cowpea genotypes using GGE biplot approach.
    Araújo MDS; Aragão WFL; Santos SPD; Freitas TKT; Saraiva VDC; Damasceno-Silva KJ; Dias LADS; Rocha MM
    Heliyon; 2022 Dec; 8(12):e11832. PubMed ID: 36506391
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Relationships between methods of variety adaptability and stability in sugarcane.
    Mendes de Paula TO; Marinho CD; Souza V; Barbosa MH; Peternelli LA; Kimbeng CA; Zhou MM
    Genet Mol Res; 2014 Jun; 13(2):4216-25. PubMed ID: 25036165
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diallelic analysis to obtain cowpea (Vigna unguiculata L. Walp.) populations tolerant to water deficit.
    Rodrigues EV; Damasceno-Silva KJ; Rocha MM; Bastos EA
    Genet Mol Res; 2016 May; 15(2):. PubMed ID: 27323025
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Phenotype adaptability and stability of sugarcane genotypes in the sugarcane belt of the state of Pernambuco, Brazil.
    Dutra Filho JA; Junior TC; Simões Neto DE
    Genet Mol Res; 2014 Aug; 13(3):6865-77. PubMed ID: 25177966
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cowpea: a legume crop for a challenging environment.
    Carvalho M; Lino-Neto T; Rosa E; Carnide V
    J Sci Food Agric; 2017 Oct; 97(13):4273-4284. PubMed ID: 28182297
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Protein, Phytate and Minerals in Grains of Commercial Cowpea Genotypes.
    GonÇalves FV; Medici LO; Fonseca MPSD; Pimentel C; Gaziola SA; Azevedo RA
    An Acad Bras Cienc; 2020 Jul; 92(suppl 1):e20180484. PubMed ID: 32756834
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Meta-analysis of the Italian studies on short-term effects of air pollution].
    Biggeri A; Bellini P; Terracini B;
    Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.