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Akademický článek

Genetic diversity of Eucalyptus hybrids estimated by genomic and EST microsatellite markers

Autor: F. B. Cupertino, J. B. Leal, R. X. Corrêa, F. A. Gaiotto

Publikováno v: Biologia Plantarum, Vol 55, Iss 2, Pp 379-382 (2011)

The knowledge of breeding impacts on the genetic diversity of hybrids of Eucalyptus is crucial to the exploration of genetic resources. We estimated genetic polymorphic parameters of 112 hybrids of Eucalyptus spp. using 10 genomic simple sequence rep

Externí odkaz: https://doaj.org/article/b76771c29e6f46deadbc81b588e419ab

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Simulação de cenários para avaliação bioeconômica de sistemas a pasto de recria-engorda de bovinos de corte no Sul do Brasil

Autor: Leonardo Rocha da Silva, J. J. B. Leal, Ricardo Zambarda Vaz, Alvim Faria, Vinícius do Nascimento Lampert

Publikováno v: Research, Society and Development. 10:e82101213908

The aim of this study was to evaluated twenty-seven scenarios simulated in stocker-finishing beef cattle grazing systems, performed with real data and the aid of integrated Microsoft Excel® spreadsheets. The scenarios, consisted of three intensifica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4bb1f52aba0e4af8af34d9afd53ba4c
https://doi.org/10.33448/rsd-v10i12.13908

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Breeding objectives of Brangus cattle in Brazil

Autor: Arione Augusti Boligon, Michael D. MacNeil, Marcos Jun Iti Yokoo, J. J. B. Leal, Vinícius Silva Junqueira, Claudia Cristina Gulias Gomes, Patrícia Iana Schmidt, R. F. Costa, Michele da R. Scholant Simões, Fernando Flores Cardoso, Alessandro Pelegrine Minho

Publikováno v: Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und ZuchtungsbiologieREFERENCES. 137(2)

Our goal was to define a breeding objective for Brangus beef cattle in Brazil. Bioeconomic models were produced and used to estimate economic values (EVs). The scenarios simulated were typical full-cycle beef production systems that are used in tropi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3e9aea73eb61115781a46c33409191
https://pubmed.ncbi.nlm.nih.gov/31179593

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Sire breed effect on carcass and temperament traits

Autor: Isabella Dias Barbosa Silveira, Fernando Flores Cardoso, Leandro Lunardini Cardoso, Marcelo Henrique Giordano Nunes, J. J. B. Leal, B. B. M. Teixeira, B. P. Sollero

Publikováno v: Semina: Ciências Agrárias, Vol 39, Iss 6, Pp 2717-2726 (2018)

This paper aimed to identify and evaluate the effects of sire breed on temperament and productive traits of different cross-breeds between Nellore (NE), Tabapua (TB), and Brahman (BR) bulls mated with Angus cows (AN), as well as the relationship betw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a719878db0032e608519a9336cfc57
https://doi.org/10.5433/1679-0359.2018v39n6p2717

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Simulation of the velocity field in compound channel flow using different closure models

Autor: Filonovich, Marina, R. Azevedo, L. R. Rojas-Solorzano, J. B. Leal

1st European IAHR Congress,6-4 May, Edinburg, Scotland In this study a comparison of three turbulence closure models (two isotropic and one anisotropic) with experimental data is performed. The interaction between the main channel (MC) flow and the f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c66519abd818bc821e0013f56463ffb
https://hdl.handle.net/10362/5032

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Evaluation of genetic diversity in a natural rosewood population (Dalbergia nigra Vell. Allemão ex Benth.) using RAPD markers

Autor: F S, Juchum, J B, Leal, L M, Santos, M P, Almeida, D, Ahnert, R X, Corrêa

Publikováno v: Genetics and molecular research : GMR. 6(3)

Dalbergia nigra (rosewood) is a long-lived leguminous species, which is endemic to the Brazilian Atlantic forest. Because of the high economic value of its wood, this species has been over-explored in recent years. Currently, rosewood is included in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d0592b150eb05226387f5f6939703d19
https://pubmed.ncbi.nlm.nih.gov/17985307

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