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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
Temporal field phenomics of transgenic maize events subjected to drought stress: cross?validation scenarios and machine learning models. Author(s): PEREIRA, H. D.; NONATO, J. V. A.; MOLTOCARO, R. C. R.; GERHARDT, I. R.; DANTE, R. A.; ARRUDA, P.; YASSITEPE, J. E. de C. T. Global climate change has driven breeding programs to develop abiotic stress?resilient plant varieties. Traditionally, assessing drought resilience involves labor?intensive and time?consuming processe... ... Repository: BDPA Publication year: 2025
Validation of genomic regions influencing nematode resistance in a Bos taurus x Bos indicus cross population. Author(s): BENAVIDES, M. V.; ECHEVARRIA, F. A. M.; SONSTEGARD, T. S.; TASSEL, C. P. V.; GASBARRE, L. C. Repository: BDPA Publication year: 2005
Genetic variability of a Bos taurus x Bos indicus cross population and validation of genomic regions influencing nematode resistance. Author(s): BENAVIDES, M. V.; ECHEVARRIA, F. A. M.; SONSTEGARD, T. S.; VAN TESSEL, C. P.; GASBARRE, L. C. Repository: BDPA Publication year: 2005
Genome prediction accuracy of common bean via Bayesian models. Author(s): BARILI, L. D.; VALE, N. M. do; SILVA, F. R. e; CARNEIRO, J. E. de S.; OLIVEIRA, H. R. de; VIANELLO, R. P.; VALDISSER, P. A. M. R.; NASCIMENTO, M. We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and g... ... Repository: BDPA Publication year: 2018
Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. Author(s): CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de Bovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the... ... Repository: BDPA Publication year: 2020
Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. Author(s): BROWN, J. C.; KASTENS, J. H.; COUTINHO, A. C.; VICTORIA, D. de C.; BISHOP, C. R. MODIS 250-m NDVI and EVI datasets are now regularly used to classify regional-scale agricultural land-use practices in many different regions of the globe, especially in the state of Mato Grosso, Braz... ... Repository: BDPA Publication year: 2013
New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program. Author(s): AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F.; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; OLIVEIRA, E. J. de ABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy... ... Repository: BDPA Publication year: 2016
Crossbreeding applied to systems of beef cattle production to improve performance traits and carcass quality. Author(s): FAVERO, R.; MENEZES, G. R. de O.; TORRES JUNIOR, R. A. de A.; SILVA, L. O. C. da; BONIN, M. N.; FEIJO, G. L. D.; ALTRAK, G.; NIWA, M. V. G.; KAZAMA, R.; MIZUBUTI, I. Y.; GOMES, R. da C. Crossbreeding represents an important technique to improve growth, beef quality and adaptability in beef production systems in tropical countries. The aim of this study was to evaluate sire and dam br... ... Repository: BDPA Publication year: 2019
Parameterization and evaluation of predictions of DSSAT/CANEGRO for Brazilian sugarcane. Author(s): MARIN, F. R.; JONES, J. W.; ROYCE, F.; SUGUITANI, C.; DONZELLI, J. L.; PALLONE FILHO, W.; NASSIF, D. S. P. The DSSAT/CANEGRO model was parameterized and its predictions evaluated using data from five sugarcane experiments conducted in Southern Brazil. Some parameters whose values were either directly measu... ... Repository: BDPA Publication year: 2011

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