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Author(s): ARBEX, W. A.; CARVALHO, C. dos S. B. de; SANTOS, K. C. L. dos; BRUM, V. C; SILVA, M. V. G. B.

Repository: BDPA     Publication year: 2014

Author(s): CASTILHO, D.; TEDESCO, D.; HERNANDEZ, C.; MADARI, B. E.; CIAMPITTI, I.

Enhancing rapid phenotyping for key plant traits, such as biomass and nitrogen content, is critical for effectively monitoring crop growth and maximizing yield. Studies have explored the relationship... ...

Repository: BDPA     Publication year: 2024

Author(s): LARA, L. A. DE C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; GARCIA, A. A. F.

Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant populat... ...

Repository: BDPA     Publication year: 2016

Author(s): NASCIMENTO, M.; PETERNELLI, L. A.; CRUZ, C. D.; NASCIMENTO, A. C. C.; FERREIRA, R. de P.

The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology o... ...

Repository: BDPA     Publication year: 2013

Author(s): SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARAES, S. E. F.; GLORIA, L. S.; SILVA, F. F.

The aim of this study was to compare genomic selection methodologies using a linear mixed model and the Cox survival model. We used data from an F2 population of pigs, in which the response variable w... ...

Repository: BDPA     Publication year: 2015

Author(s): PEREIRA, R. C.; GUIMARÃES, C. M.; HEINEMANN, A. B.; LANNA, A. C.; LOPES JUNIOR, S.; NARCISO, M. G.; STONE, L. F.; VIANELLO, R. P.; CASTRO, A. P.

Plant phenotyping in greenhouse requires high physical effort for management and data collection. To minimize this effort, SITIS Platform of Plant Phenotyping for Drought Tolerance was projected and b... ...

Repository: BDPA     Publication year: 2017

Author(s): VIEIRA, F. D.; MOURA, D. G. de; SILVA, D. F. da; HIGA, R. H.; ZERLOTINI NETO, A.

In order to get efficient storage and fast queries in this high volume of data, in this work we present the BDGF system (Genotypes and Phenotypes Database). It is based on a data model first proposed... ...

Repository: BDPA     Publication year: 2016

Author(s): NOVAIS, F. J. DE; YU, H.; CESAR, A. S. M.; MOMEN, M.; POLETI, M. D.; PETRY, B.; MOURÃO, G. B.; REGITANO, L. C. de A.; MOROTA, G.; COUTINHO, L. L.

Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis... ...

Repository: BDPA     Publication year: 2022

Author(s): AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; NASCIMENTO, M.; VIANA, J. M. S.; VALENTE, M. S. F.

We proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values w... ...

Repository: BDPA     Publication year: 2017

Author(s): COSTA, W. G. da; SANTOS, I. G. dos; SILVA JÚNIOR, A. C. da; CRUZ, C. D.; NASCIMENTO, M.; FERREIRA, R. de P.; VILELA, D.

The aim of this study was to obtain estimates of genetic parameters via meta-analysis and mixed models to evaluate the potential of the germplasm from Embrapa Pecuaria Sudeste for integration in breed... ...

Repository: BDPA     Publication year: 2021

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