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Author(s): BORGES JUNIOR, J. C. F.; FERREIRA, P. A.; ANDRADE, C. de L. T. de; HEDDEN-DUNKHORST, B. Linear programming models are effective tools to support initial or periodic planning of agricultural enterprises, requiring, however, technical coefficients that can be determined using computer simu... ... |
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Author(s): RIBEIRO, I. M.; BORGES, C. C. H.; SILVA, B. Z.; ARBEX, W. A. Abstract The genome-wide associations studies (GWAS) aims to identify the most influential markers in relation to the phenotype values. One of the substantial challenges is to find a non-linear mappin... ... |
Author(s): YANO, I. H.; OLIVEIRA, V. C. de; BECKER, M.; CORREA, A. S. Abstract: Wireless Sensor Networks are networks suitable for data collection in harsh environments, where it would be difficult or costly the deployment of wired infrastructure. In spite of these adva... ... |
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Author(s): GIONBELLI, T. R. S.; ROTTA, P. P.; VELOSO, C. M.; MARCONDES, M. I.; VALADARES FILHO, S. C.; CARVALHO, B. C. de; LOVATTI, J. V. R.; CUNHA, C. S.; NOVAIS, M. A. S.; DUARTE, M. S.; GIONBELLI, M. P.
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Author(s): OLIVEIRA, V. B. V.; MACHADO, C.; SILVA, R. K. da; RIBEIRO, A. B. de S.; SCABIN, A. Este artigo tem por objetivo discutir questões relacionadas ao campo da educomunicação, abordando a parceria interinstitucional entre a Embrapa e o Instituto Juruá (organização governamental e não-gov... ... |
Author(s): ISAAC JÚNIOR, M. A.; BARBOSA, B. H. G.; GOMIDE, L. R.; CALEGARIO, N.; FIGUEIREDO, E. O.; MORAS FILHO, L. O.; MELO, E. de A.; DANTAS, D. To reduce the damage caused by logging in the Amazon rainforest, new metaheuristics have been implemented and tested to ensure the sustainability of this economic segment. Therefore, this study aimed... ... |
Author(s): PACHECO, G. B.; NASCIMENTO, G. C.; PINHEIRO, R.; TEIXEIRA, R. B.; VERNEQUE, R. da S.; PANETTO, J. C. do C. An alternative to the adoption of 305-day milk yield during lactation to evaluate bovine genetics is the use of test-day milk yield (TDMY) information. This procedure has been used in the main cattle... ... |
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