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Comparison of different staining methods for coffee proteomic analysis. Author(s): FRANCO, O. L.; ANDRADE, A. E.; BARROS, E. V. S. A.; SA, M. F. G. de; CARNEIRO, R. M. D. G.; CARNEIRO, R.; EIRA, M. T. S. da; ROCHA, T. L.; REIS, A. M. dos Proteomic methods, such as bidimensional electrophoresis (2-DE) and mass spectrometry, have been extensively used for the study of protein differential expression in several plants including Arabidops... ... Repository: BDPA Publication year: 2007
Comparison of two lipid extraction methods produced by yeast in cheese whey. Author(s): CASTANHA, R. F.; MORAIS, L. A. S. de; MARIANO, A. P.; MONTEIRO, R. T. R. Abstract: This work aimed to evaluate nine strains of yeast, previously identified as good producers of lipids in honey medium, for selecting the most suitable strain for the production of lipids in c... ... Repository: BDPA Publication year: 2013
An application of hotelling's t2 test for the comparison of the visual-acoustic method in the identification of ingestive cattle behavior. Author(s): VIGAS, V. P.; VOLPI, D.; ALVES, F. V.; SILVA, G. O.; SARAIVA, E. F. Repository: BDPA Publication year: 2020
Comparison of analytical methods for determination of limonoids in tangerine juice using HPLC-PDA and ULC-ESI-Q-TOF. Author(s): ROSA, J. S. da; OIANO NETO, J.; FURTADO, A. A. L.; GODOY, R. L. de O.; BORGUINI, R. G.; SCHULZ, D. F.; BARRABIN, J. S.; IGLESIAS, A. N.; REZENDE, C. M. de Repository: BDPA Publication year: 2011
Comparison of grain yield and identification of QTLs of rice populations derived from the Bulk and SSD (Single Seed Descent) methods. Author(s): RAMOS, M. R. F.; MENDONÇA, J. A.; VIANELLO, R. P.; BRONDANI, C. Bulk and SSD are widely used methods for developing segregating populations in plant genetic improvement programs. This work aimed to analyze grain yield (GY) QTLs using two populations from the Epagr... ... Repository: BDPA Publication year: 2024
Comparison between barley malt protein quantification methods. Author(s): CENCI, I. de O.; GUIMARÃES, B. P.; AMABILE, R. F.; GHESTI, G. C. Brazil imports about 60% of all the malt used by the brewing industry which is spread throughout the country. Even though it is an agricultural country, only a small portion of the barley production h... ... Repository: BDPA Publication year: 2020
Comparison of methods to isolate DNA from Caesalpinia ferrea. Author(s): SOUSA, C. C.; GOMES, S. O.; LOPES, A. C. A.; GOMES, R. L. F.; BRITTO, F. B.; LIMA, P. S. C.; VALENTE, S. E. S. Molecular markers are important for characterizing the genetic diversity of plants and can provide the basis for strategies to protect and conserve endangered populations. However, numerous molecular... ... Repository: BDPA Publication year: 2014
Comparison of methods for conducting segregant populations for fiber content. Author(s): SILVA, A. C. F.; MELO, P. G. S.; BASSINELLO, P. Z.; DEL PELOSO, M. J.; FARIA, L. C. de; PEREIRA, H. S.; MELO, L. C. This research had study the genetic variability of the trait in Brazilian genotypes and had the following objectives: to quantify the content of crude fiber in populations conducted by three breeding... ... Repository: BDPA Publication year: 2009
Comparison of breeding methods for fiber content in common beans. Author(s): PONTES JÚNIOR, V. A.; MELO, P. G. S.; MELO, L. C.; PEREIRA, H. S.; DÍAZ, J. L. C.; BASSINELLO, P. Z.; WENDLEND, A.; PAIVA, B. A. R. The objective of this work was to compare raw fiber content of families obtained by different breeding methods. Repository: BDPA Publication year: 2011
A comparison of genomic and phenomic selection methods foryield prediction in Coffea canephora. Author(s): ADUNOLA, P.; FLORES, E. T.; RIVA-SOUZA, E. M.; FERRAO, M. A. G.; SENRA, J. F. B.; COMÉRIO, M.; ESPINDULA, M. C.; VERDIN FILHO, A. C.; VOLPI, P. S.; FONSECA, A. F. A. da; FERRÃO, R. G.; MUNOZ, P. R.; FERRÃO, L. F. V. Genomic prediction has been proposed as the standard method to predict the genetic merit of unphenotyped individuals. Despite the promising results reported in the plant breeding literature, its routi... ... Repository: BDPA Publication year: 2024

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