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Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction. Author(s): CROSSA, J.; MONTESINOS-LÓPEZ, O. A.; PÉREZ-RODRÍGUEZ, P.; COSTA-NETO, G.; FRITSCHE-NETO, R.; ORTIZ, R.; MARTINI, J. W. R.; LILLEMO, M.; MONTESINOS-LÓPEZ, A.; JARQUIN, D.; BRESEGHELLO, F.; CUEVAS, J.; RINCENT, R. Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includ... ... Repository: BDPA Publication year: 2022
Cassava yield traits predicted by genomic selection methods. Author(s): ANDRADE, L. R. B. de; SOUSA, M. B. e; OLIVEIRA, E. J. de; RESENDE, M. D. V. de; AZEVEDO, C. F. Genomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and co... ... Repository: BDPA Publication year: 2019
Accuracy of genomic predictions in Bos indicus (Nellore) cattle. Author(s): NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. Background- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvemen... ... Repository: BDPA Publication year: 2014
Tournaments between markers as a strategy to enhance genomic predictions. Author(s): FERREIRA FILHO, D.; BUENO FILHO, J. S. de S.; REGITANO, L. C. de A.; ALENCAR, M. M. de; ALVES, R. R.; BAENA, M. M.; MEIRELLES, S. L. C. Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical a... ... Repository: BDPA Publication year: 2019
New insights into genomic selection through population-based non-parametric prediction methods. Author(s): LIMA L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; SUELA, M. M.; NASCIMENTO, M.; VIANA, J. M. S. Genome-wide selection (GWS) is based on a large number of markers widely distributed throughout the genome. Genome-wide selection provides for the estimation of the effect of each molecular marker on... ... Repository: BDPA Publication year: 2019
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
Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis. Author(s): MARTINS, F. B.; AONO, A. H.; MORAES, A. da C. L.; FERREIRA, R. C. U.; VILELA, M. de M.; PESSOA FILHO, M. A. C. de P.; RODRIGUES-MOTTA, M.; SIMEÃO, R. M.; SOUZA, A. P. de Tropical forage grasses, particularly those belonging to the Urochloa genus, play a crucial role in cattle production and serve as the main food source for animals in tropical and subtropical regions.... ... Repository: BDPA Publication year: 2023
Genomic prediction in family bulks using different traits and cross-validations in pine. Author(s): RIOS, E. F.; ANDRADE, M. H. M. L.; RESENDE JR, M. F. R.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. O. E. de; GEZAN, S. A.; MUNOZ, P. Genomic prediction integrates statistical, genomic, and computational tools to improve the estimation of breeding values and increase genetic gain. Due to the broad diversity in mating systems, breedi... ... Repository: BDPA Publication year: 2021
Enhancing genomic prediction with stacking ensemble learning in arabica coffee. Author(s): NASCIMENTO, M.; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; JARQUIN, D. Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection... ... Repository: BDPA Publication year: 2024
Using visual scores for genomic prediction of complex traits in breeding programs. Author(s): AZEVEDO, C. F.; FERRÃO, L. F. V.; BENEVENUTO, J.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; MUNOZ, P. R. An approach for handling visual scores with potential errors and subjectivity in scores was evaluated in simulated and blueberry recurrent selection breeding schemes to assist breeders in their decisi... ... Repository: BDPA Publication year: 2024

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