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Author(s): ROCHA, R. F. B.; GARCIA, A. O.; SANTOS, M. G. dos; OTTO, P. I.; SILVA, M. V. G. B.; MARTINS, M. F.; MACHADO, M. A.; PANETTO, J. C. do C.; CALUS, M. P. L.; GUIMARÃES, S. E. F. Over the past decades, daughter designs, including genotyped sires and their genotyped daughters, have been used as an approach to identify QTL related to economic traits. The aim of this study was to... ... |
Author(s): SILVA, A. A.; AZEVEDO, A. L. S.; GASPARINI, K.; VERNEQUE, R. da S.; PEIXOTO, M. G. C. D.; PANETTO, B. R.; GUIMARÃES, S. E. F.; MACHADO, M. A. Fourteen Brazilian Gir sire families with 657 daughters were analyzed for quantitative trait loci (QTL) on chromosome 6 affecting lactose and total solids. Cows and sires were genotyped with 27 micros... ... |
Author(s): BARROSO, T. de O.; ROMANI, L. A. S. Desta forma, este artigo apresenta o processo e as alterações realizadas no design da nova versão do Agritempo a fim de melhorar continuamente a experiência do usuário em novos dispositivos, resoluçõe... ... |
Author(s): MATOS, M. C. de; MEDEIROS, J. A. de; SANTOS, L. B.; AZEREDO, H. M. C. de In multicomponent foods having both moist and dry components (e.g., pizzas and tacos), moisture migration between components causes undesirable texture changes (e.g., loss of crispiness of the dry com... ... |
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Author(s): DURAND-VALENCIA, J.; PINEDO-PANDURO, M.; PAREDES-DAVILA, E.; ZUMBA-LOPEZ, C.; ROMERO-VILLACREZ, L.; BARDALES-LOZANO, R. M.; TORRES, D. del C.; CHAGAS, E. A.; MELO, V. F.
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Author(s): MACHADO, R. C.; PEREIRA FILHO, E. R.; NOGUEIRA, A. R. de A.
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Author(s): GOMES, E. G.; SOUZA, G. da S. e; FREITAS, A. C. R. de; COSTA, F. de S.; KLEPKER, D. In this paper, we contribute to the low-carbon agriculture subject by evaluating the carbon-based performance of an experimental design carried out on a farm in the Brazilian Savanna (Cerrado biome),... ... |
Author(s): CIOCCIA, G.; MORAIS, C. P. de; BABOS, D. V.; MILORI, D. M. B. P.; ALVES, C. Z.; CENA, C.; NICOLODELLI, G.; MARANGONI, B. S. Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the Brachiaria seed physiological quality by discriminating the high and low vigor see... ... |
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