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Genotype x environment interaction in cassava multi-environment trials via analytic factor. Author(s): SAMPAIO FILHO, J. S.; OLIVEIRA, I. C. M.; PASTINA, M. M.; CAMPOS, M. de S.; OLIVEIRA, E. J. de The variability in genetic variance and covariance due to genotype × environment interaction (G×E) can hinder genotype selection accuracy, especially for complex traits. This study analyzed G×E intera... ... Repository: BDPA Publication year: 2024
Modeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials. Author(s): ARAÚJO, M. dos S.; CHAVES, S. F. da S.; SILVA, K. J. D. e; DIAS, L. A. dos S.; ROCHA, M. de M. In cowpea breeding, multi-environment trials are conducted to select lines withhigh yield. The occurrence of genetic and/or statistical imbalance is common inthese experiments, in addition to the poss... ... Repository: BDPA Publication year: 2023
Genomic prediction in multi-environment trials in maize using statistical and machine learning methods. Author(s): BARRETO, C. A. V.; DIAS, K. O. das G.; SOUSA, I. C. de; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; PASTINA, M. M.; NASCIMENTO, M. In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids that were not tested in field trials. Thi... ... Repository: BDPA Publication year: 2024
Reaction to white mold of early maturity carioca seeded common bean elite lines in multi-environment trials. Author(s): SILVA, L. I. D. M; SALES, J. O. P.; MELO, P. G. S.; VIEIRA, R. F.; LOBO JUNIOR, M.; KNUPP, A. M.; PEREIRA, H. S.; MELO, L. C.; SOUZA, T. L. P. O. The main goal of this study was to evaluate the reaction to white mold of early maturity (< 85 days) carioca seeded common bean elite lines and control cultivars in field nurseries in Brazil and in a... ... Repository: BDPA Publication year: 2019
GGE Biplot and REML/BLUP based-analysis of yield stability and adaptability for common beans in multi-environment trials. Author(s): SANTOS, P. R. dos; OLIVEIRA, T. R. A. de; SKEEN, P.; NASCIMENTO, M. R.; COSTA, K. D. da S.; ARAÚJO, E. R.; PEREIRA, H. S.; COSTA, A. F. da Prior to releasing new varieties, one of the most common aims in breeding is to study genotype by environmental interactions. Using the analysis obtained from these initial processes, a multitude of v... ... Repository: BDPA Publication year: 2019
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. Author(s): FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of report... ... Repository: BDPA Publication year: 2017
Models for optimizing selection based on adaptability and stability of cotton genotypes. Author(s): PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. In multi-environment trials (MET), large networks are assessed for results improvement. However, genotype by environment interaction plays an important role in the selection of the most adaptable and... ... Repository: BDPA Publication year: 2021
Adaptability and stability parameters for grain production in pigeonpea lines in the Brazilian semiarid region. Author(s): COSTA, A. E. da S.; SANTOS, C. A. F. Pigeonpea is a multipurpose species and can be used for grain, forage production, and as a soil improver. In Brazil, the scarcity of productive cultivars adapted to various growing conditions contribu... ... Repository: BDPA Publication year: 2022
Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones. Author(s): FERREIRA, F. M.; CHAVES, S. F. da S.; PEIXOTO, M. A.; ALVES, R. S.; COELHO, I. F.; RESENDE, M. D. V. de; SANTOS, G. A. dos; BHERING, L. L. Multi-trait multi-environment (MTME) models were fitted to eucalyptus breeding trials data to assess residual variance structure, genetic stability and adaptability. To do so, 215 eucalyptus clones we... ... Repository: BDPA Publication year: 2023
An integrated inventory of One Health tools: mapping and analysis of globally available tools to advance One Health. Author(s): BEHRAVESH, C. B.; CHARRON, D. F.; LIEW, A.; BECERRA, N. C.; MACHALABA, C.; HAYMAN, D. T. S.; ZANELLA, J. R. C.; FARAG, E.; CHAUDHARY, A.; BELLES, H.; ADISASMITO, W. B.; ALMUHAIRI, S.; BILIVOGUI, P.; BUKACHI, S. A.; CASAS, N; CUNNINGHAM, A. A.; DEBNATH, N.; DAR, O.; DUNGU, B.; GAO, G. F.; KHAITSA, M.; KOOPMANS, M. P. G.; MACKENZIE, J. S.; MORAND, S.; SMOLENSKIY, V.; ZHOU, L.; MARKOTTER, W.; METTENLEITER, T. C. Abstract: The global demand from multi-sectoral partners for operational tools for One Health implementation and capacity building is increasing, yet a validated global inventory of One Health tools d... ... Repository: BDPA Publication year: 2024

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