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Biblioteca(s):  Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia.
Data corrente:  27/09/2021
Data da última atualização:  16/12/2021
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  RESENDE, R. T.; SILVA, P. I. T.; SILVA JUNIOR, O. B. da; FREITAS, M. L. M.; SEBBENN, A. M.; SOUSA, V. A. de; AGUIAR, A. V. de; GRATTAPAGLIA, D.
Afiliação:  RAFAEL T. RESENDE, Universidade federal de Goiás; PEDRO ITALO T. SILVA, Universidade de Brasília; ORZENIL BONFIM DA SILVA JUNIOR, Cenargen; MIGUEL L. MENEZES FREITAS, Instituto Florestal de São Paulo; ALEXANDRE M. SEBBENN, Instituto Florestal de São Paulo; VALDERES APARECIDA DE SOUSA, CNPF; ANANDA VIRGINIA DE AGUIAR, CNPF; DARIO GRATTAPAGLIA, Cenargen.
Título:  Age trends in genetic parameters for growth performance across country-wide provenances of the iconic conifer tree Araucaria angustifolia show strong prospects for systematic breeding and early selection.
Ano de publicação:  2021
Fonte/Imprenta:  Forest Ecology and Management, v. 501, 119671, Dec. 2021. 13 p.
DOI:  https://doi.org/10.1016/j.foreco.2021.119671
Idioma:  Inglês
Conteúdo:  Understanding the growth patterns of long-lived conifer tree species is important to devise breeding and early selection strategies, predict future biomass productivity and assess adaptive tree fitness for long term conservation efforts. We investigated the genetic variation for growth traits of Araucaria angustifolia, the grandiose renowned ?Parana ´ pine? tree, in a trial involving 122 families across 15 provenances covering the entire natural range of the species in Brazil. Measurements at ages 7, 24, 32, 33 and 35 were used to adjust continuous growth curves based on nonlinear mixed-effect models for all 2158 trees, providing annual estimates for unmeasured ages in the 7-to-35-year interval. Estimated values closely matched observed ones and a reduction of the coefficient of residual variation was observed in the estimated data, possibly due to removal of random error in the observed measurements, making the estimated curves more reliable to predict growth patterns. Genetic variation for growth within provenances was greater than between, with a trend of increasing heritabilities over time for most provenances. Substantial genetic variation found both within and between families could drive efficient early selection at both levels. All provenances included individual trees and families with good potential to be selected for shorter rotations. Growth curves show that trees invest first in height and later in diameter growth. Considerable variation was observed ... Mostrar Tudo
Palavras-Chave:  Conifer breeding; Genetic parameters; Individual tree modeling; Mixed models; Random regression.
Thesagro:  Araucária Angustifólia; Pinheiro do Paraná.
Thesaurus Nal:  Early selection.
Categoria do assunto:  G Melhoramento Genético
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226395/1/1-s2.0-S0378112721007611-main.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Recursos Genéticos e Biotecnologia (CENARGEN)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CENARGEN38630 - 1UPCAP - DD
CNPF57839 - 1UPCAP - DD
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Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br.

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Biblioteca(s):  Embrapa Territorial.
Data corrente:  10/01/2019
Data da última atualização:  03/01/2020
Tipo da produção científica:  Resumo em Anais de Congresso
Autoria:  LUMBRERAS, J. F.; CARVALHO FILHO, A. de; MOTTA, P. E. F. da; FREITAS, P. L. de; BARROS, A. H. C.; AGLIO, M. L. D.; DART, R. de O.; SILVEIRA, H. L. F. da; QUARTAROLI, C. F.; ALMEIDA, R. E. M. de.
Afiliação:  JOSE FRANCISCO LUMBRERAS, CNPS; AMAURY DE CARVALHO FILHO, CNPS; PAULO EMILIO FERREIRA DA MOTTA, CNPS; PEDRO LUIZ DE FREITAS, CNPS; ALEXANDRE HUGO CEZAR BARROS, CNPS; MARIO LUIZ DIAMANTE AGLIO, CNPS; RICARDO DE OLIVEIRA DART, CNPS; HILTON LUIS FERRAZ DA SILVEIRA, CNPM; CARLOS FERNANDO QUARTAROLI, CNPM; RODRIGO ESTEVAM MUNHOZ DE ALMEIDA, CNPASA.
Título:  Agricultural potential for Crop-Livestock-Forestry integration system in the Matopiba region, Brazil.
Ano de publicação:  2018
Fonte/Imprenta:  In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Não paginado. WCSS 2018.
Idioma:  Inglês
Conteúdo:  In this paper, it is presented the agricultural potential for integrated production systems for the Matopiba region, which covers approximately 73 million hectares and represents an important frontier for the expansion of agricultural production in Brazil. In soil and climate studies, the main limitations to agricultural land use have been identified, complemented by field campaigns to validate interpretations. The agricultural potential of the land for the adoption of Crop-Livestock-Forest integration systems (CLFi) considered the high technological level for crops, and medium and high for silviculture and planted pasture. The evaluation is presented in map compatible with the 1:500,000 scale. Mixed systems of agricultural production, based on the spatial and temporal integration of agricultural components (annual and perennial crops), forestry (silviculture) and livestock (pasture) were considered. The systems used for sustainable intensification of land include: crop-livestock-forest system or CLFi: integrating agricultural, livestock and forestry components in rotation, consortium or succession in the same area. They include the forest-agriculture systems or crop-forest integration with emphasis on crop-forestry systems; crop-livestock systems or Crop-Livestock integration (CLi): integrating agricultural components (annual crops) and livestock in rotation, consortium or succession, in the same area and in the same agricultural year or for multiple years. They include ina... Mostrar Tudo
Palavras-Chave:  Agricultural suitability; Environmental planning; Integrated production systems.
Categoria do assunto:  P Recursos Naturais, Ciências Ambientais e da Terra
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Territorial (CNPM)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPM5026 - 1UPCPC - DD17/074RA2018.074
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