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Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight. Author(s): MELO, L. C.; SILVA, A. C. F.; PEREIRA, H. S.; MELO, P. G. S.; SOUZA, T. L. P. O. Common beans are a key source of protein and are consumed daily by most of the Brazilian population. More than 70% of what is consumed in this country is classified as carioca beans, based on seed qua... ... Repository: BDPA Publication year: 2019
Parental genetic representativeness in black seeded common bean progenies from the Embrapa Recurrent Selection Program for tolerance to BGMV. Author(s): BATISTA, C. E. A.; BUENO, L. G.; RESENDE, T. N.; WENDLAND, A.; PEREIRA, H. S.; FARIA, L. C.; MELO, L. C.; SOUZA, T. L. P. O. Bean golden mosaic virus (BGMV) can seriously limit common bean (Phaseolus vulgaris L.) yield in some of the main production areas in Brazil. Unfortunately, up to now, no cultivars or elite lines have... ... Repository: BDPA Publication year: 2014
Economic impact of superior genetic Nellore bulls from Geneplus-Embrapa Program in natural breeding systems. Author(s): PEREIRA, M. A.; ROSA, A. N. F.; COSTA, F. P. Repository: BDPA Publication year: 2016
Multiatr: a tool for ranking of pairwise alternatives. Author(s): LOBO, R. N. B. The decision-making process is complex and often demands time and difficulties for managers, project coordinators and, especially here, specialists in genetic improvement programs. Tools that can help... ... Repository: BDPA Publication year: 2021
Genetic trend estimates for milk yield production and fertility traits of the Girolando cattle in Brazil. Author(s): CANAZA-CAYO, A. W.; COBUCI, J. A.; LOPES, P. S.; TORRES, R. de A.; MARTINS, M. F.; DALTRO, D. dos S.; SILVA, M. V. G. B. Annual genetic trends and selection differentials for 305-day milk yield (305MY), age at first calving (AFC), and first calving interval (FCI) were estimated by four selection paths [sires of bulls (S... ... Repository: BDPA Publication year: 2016
Average inbreeding and genetic gain in simulated populations of dual-purpose cattle under different methods of selection. Author(s): OLIVEIRA, J. P. L.; NASCIMENTO, G. C.; COSTA, L. C.; TEIXEIRA, R. B.; PANETTO, J. C. do C.; PINHEIRO, R. O. The development of breeding programs that meet two goals (dairy and beef) can be important for improving the dual-purpose breeds, thus contributing to greater profitability and satisfaction of dual-pu... ... Repository: BDPA Publication year: 2015
Estimation of genetic and phenotypic trends for dairy traits of Gyr and Guzerá breeds. Author(s): RANGEL, A. H. do N.; ARAÚJO, T. P. M.; LIMA, G. F. da C.; BORBA, L. H. F.; PEIXOTO, M. G. C. D.; LIMA JÚNIOR, D. M. de ABSTRACT Milk production has high economic importance in dairy cattle production systems, which justifies its inclusion in genetic breeding programs. The objective of this study was to evaluate the ge... ... Repository: BDPA Publication year: 2018
Recurrent selection of pumpkin (Cucurbita moschata) genotypes to increase fruit quality. Author(s): BONFIM, W. M. D.; LIMA, M. A. C. de; COSTA, C. dos S. R.; BORGES, R. M. E.; SILVA, B. F. R. da; OLIVEIRA, T. G. B. de; MENDONÇA JUNIOR, A. F. de The aim of pumpkin breeding programs is to develop cultivars that meet the production, commercial quality, and nutritional value, considering several attributes. Therefore, the objective of this study... ... Repository: BDPA Publication year: 2024
Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related american sires. Author(s): CAMPOS, G. S.; CARDOSO, F. F.; GULIAS GOMES, C. C.; DOMINGUES, R.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE; CARVALHEIRO, R.; ALBUQUERQUE, L. G.; MILLER, S.; MISTZAL, I.; LOURENCO, D. Genomic prediction has become the new standard for genetic improvement programs, and currently, there is a desire to implement this technology for the evaluation of Angus cattle in Brazil. Thus, the m... ... Repository: BDPA Publication year: 2022
Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Author(s): EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. An accurate and efficient statistical method for genetic evaluation is a key requirement for progress in any breeding program. Thus, the present study aimed to evaluate the performance of Frequentist... ... Repository: BDPA Publication year: 2022

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