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Biblioteca(s):  Embrapa Pecuária Sudeste.
Data corrente:  21/10/2022
Data da última atualização:  08/11/2023
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  OLIVEIRA, P. P. A.; BERNDT, A.; PEDROSO, A. de F.; ALVES, T. C.; LEMES, A. P.; OLIVEIRA, B. A.; PEZZOPANE, J. R. M.; RODRIGUES, P. H. M.
Afiliação:  PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; ALEXANDRE BERNDT, CPPSE; ANDRE DE FARIA PEDROSO, CPPSE; TERESA CRISTINA ALVES, CPPSE; AMANDA PRUDÊNCIO LEMES, Veterinary Hospital, Brazil University, Fernandópolis, Brazil.; BIA ANCHÃO OLIVEIRA, School of Agriculture and Environment, Massey University, Auckland, New Zealand.; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PAULO HENRIQUE MAZZA RODRIGUES, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science of University of São Paulo, São Paulo, Brazil.
Título:  Greenhouse gas balance and mitigation of pasture-based dairy production systems in the Brazilian Atlantic Forest Biome.
Ano de publicação:  2022
Fonte/Imprenta:  Frontiers in Veterinary Science, v. 9, 958751, sep. 2022.
Páginas:  15 p.
DOI:  https://doi.org/10.3389/fvets.2022.958751
Idioma:  Inglês
Conteúdo:  Brazilian cattle production is mostly carried out in pastures, and the need to mitigate the livestock's greenhouse gas (GHG) emissions and its environmental footprint has become an important requirement. The adoption of well-suited breeds and the intensification of pasture-based livestock production systems are alternatives to optimize the sector's land use. However, further research on tropical systems is necessary. The objective of this research was to evaluate the effect of Holstein (HO) and Jersey?Holstein (JE x HO) crossbred cows in different levels of pasture intensification (continuous grazing system with low stocking rate?CLS; irrigated rotational grazing system with high stocking rate?RHS), and the interaction between these two factors on GHG mitigation. Twenty-four HO and 24 JE x HO crossbred dairy cows were used to evaluate the effect of two grazing systems on milk production and composition, soil GHG emissions, methane (CH4) emission, and soil carbon accumulation (0?100 cm). These variables were used to calculate carbon balance (CB), GHG emission intensity, the number of trees required to mitigate GHG emission, and the land-saving effect. The number of trees necessary to mitigate GHG emission was calculated, considering the C balance within the farm gate. The mitigation of GHG emissions comes from the annual growth rate and accumulation of C in eucalyptus trees' trunks. The CB of all systems and genotypes presented a deficit in carbon (C); there was no difference... Mostrar Tudo
Palavras-Chave:  Enteric methane emission; GHG emission intensity; ILPF; Mitigation GHG emissions; Nitrous oxide emission.
Thesaurus Nal:  Carbon sequestration; Eucalyptus.
Categoria do assunto:  X Pesquisa, Tecnologia e Engenharia
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147546/1/GreenhouseGasBalance.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Pecuária Sudeste (CPPSE)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CPPSE25766 - 1UPCAP - DDPROCI-2022.00104OLI2022.00180
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Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br.

Registro Completo

Biblioteca(s):  Embrapa Florestas.
Data corrente:  26/11/2018
Data da última atualização:  26/11/2018
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 2
Autoria:  VOLPATO, L.; SIMOQUELI, G. F.; ALVES, R. S.; ROCHA, J. R. do A. S. de C.; DEL CONTE, M. V.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; SILVA, F. L. da.
Afiliação:  Leonardo Volpato, UFV; Guilherme Ferreira Simiqueli, UFV; Rodrigo Silva Alves, UFV; João Romero do Amaral Santos de Carvalho Rocha, UFV; Murilo Viotto Del Conte, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Pedro Crescêncio Souza Carneiro, UFV; Felipe Lopes da Silva, UFV.
Título:  Selection of inbred soybean progeny (Glycine max): an approach with population effect.
Ano de publicação:  2018
Fonte/Imprenta:  Plant Breeding, v. 137, n. 6, p. 865-872, Dec. 2018.
DOI:  10.1111/pbr.12648
Idioma:  Inglês
Conteúdo:  To meet the growing demand of the soybean consumer market, cultivars increasingly early, productive and resistant to biotic and abiotic stress are sought. Several populations are obtained in soybean breeding programmes, but progeny are selected without being weighted for their respective population effect. As a consequence, progeny originating from high?merit populations may be discarded too early. Given this scenario, this study proposes to employ the selection index with progeny and population effect via best linear unbiased prediction (SIPP?BLUP) for the genetic selection of early and productive soybean progeny. A total of 180 progeny derived from three populations were evaluated for yield?related traits. Genetic gains from selection, Spearman correlation and coincidence index were used to check the efficiency of the models with and without the population effect. The SIPP?BLUP index achieved greater selection accuracy and was efficient in the identification and future selection of early soybean progeny. Therefore, this study demonstrates that soybean breeding programmes should consider the population effect via SIPP?BLUP in progeny selection to obtain future lines that really contribute to genetic gain.
Palavras-Chave:  Breeding values; Earlier-maturing progeny; Enotype × environment interaction; Ganho genético; Genetic gain; Interação genótipo x ambiente; Mixed models; Modelos mistos.
Thesagro:  Glycine Max; Rendimento; Semente; Soja.
Thesaurus NAL:  Accuracy; Seed yield; Soybeans.
Categoria do assunto:  G Melhoramento Genético
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Florestas (CNPF)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPF56584 - 1UPCAP - DD
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