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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
27/09/2021 |
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Data da última atualização: |
16/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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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. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 501, 119671, Dec. 2021. 13 p. |
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DOI: |
https://doi.org/10.1016/j.foreco.2021.119671 |
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Idioma: |
Inglês |
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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 across provenances for the optimal age and optimal tree volume at which
annual growth increment peaks, a tipping point that could be used as a predictor of the optimal rotation age and
expected tree volume. The data clearly indicate potential for early selection for growth at age 7?10 with an 85%
prediction accuracy of growth at age 35. Additionally, growth data indicate potential of shortening harvest age
from 30?35 to 15?20 years by selecting the best individuals and families. These results underscore the potential
of expanding investments in breeding and plantation forestry of A. angustifolia, which in parallel could contribute
to enhancing conservation efforts of this iconic subtropical conifer. MenosUnderstanding 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 |
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Palavras-Chave: |
Conifer breeding; Genetic parameters; Individual tree modeling; Mixed models; Random regression. |
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Thesagro: |
Araucária Angustifólia; Pinheiro do Paraná. |
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Thesaurus Nal: |
Early selection. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226395/1/1-s2.0-S0378112721007611-main.pdf
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Marc: |
LEADER 03310naa a2200313 a 4500
001 2134780
005 2021-12-16
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2021.119671$2DOI
100 1 $aRESENDE, R. T.
245 $aAge trends in genetic parameters for growth performance across country-wide provenances of the iconic conifer tree Araucaria angustifolia show strong prospects for systematic breeding and early selection.$h[electronic resource]
260 $c2021
520 $aUnderstanding 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 across provenances for the optimal age and optimal tree volume at which annual growth increment peaks, a tipping point that could be used as a predictor of the optimal rotation age and expected tree volume. The data clearly indicate potential for early selection for growth at age 7?10 with an 85% prediction accuracy of growth at age 35. Additionally, growth data indicate potential of shortening harvest age from 30?35 to 15?20 years by selecting the best individuals and families. These results underscore the potential of expanding investments in breeding and plantation forestry of A. angustifolia, which in parallel could contribute to enhancing conservation efforts of this iconic subtropical conifer.
650 $aEarly selection
650 $aAraucária Angustifólia
650 $aPinheiro do Paraná
653 $aConifer breeding
653 $aGenetic parameters
653 $aIndividual tree modeling
653 $aMixed models
653 $aRandom regression
700 1 $aSILVA, P. I. T.
700 1 $aSILVA JUNIOR, O. B. da
700 1 $aFREITAS, M. L. M.
700 1 $aSEBBENN, A. M.
700 1 $aSOUSA, V. A. de
700 1 $aAGUIAR, A. V. de
700 1 $aGRATTAPAGLIA, D.
773 $tForest Ecology and Management$gv. 501, 119671, Dec. 2021. 13 p.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Semiárido. |
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Data corrente: |
03/01/2020 |
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Data da última atualização: |
03/07/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
GUEDES, J. A. C.; ALVES FILHO, E. DE G.; SILVA, M. F. S.; RODRIGUES, T. H. S.; RAMIRES, C. M. C.; LIMA, M. A. C. de; SILVA, G. S. DA; PESSOA, C. DO Ó; CANUTO, K. M.; BRITO, E. S. de; ALVES, R. E.; NASCIMENTO, R. F. DO; ZOCOLO, G. J. |
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Afiliação: |
JHONYSON ARRUDA CARVALHO GUEDES, Departamento de Química Analítica e Físico-Química, Universidade Federal do Ceará; ELENILSON DE GODOY ALVES FILHO, Embrapa Agroindústria Tropical; MARIA FRANCILENE SOUZA SILVA, Departamento de Fisiologia e Farmacologia, Universidade Federal do Ceará; TIGRESSA HELENA SOARES RODRIGUES, Universidade Estadual do Vale do Acaraú, Sobral; CHRISTIANE MENDES CASSIMIRO RAMIRES, Empresa Estadual de Pesquisa Agropecuária da Paraíba (EMEPA); MARIA AUXILIADORA COELHO DE LIMA, CPATSA; GISELE SILVESTRE DA SILVA, Embrapa Agroindústria Tropical; CLAUDIA DO Ó PESSOA, Departamento de Fisiologia e Farmacologia, Universidade Federal do Ceará; KIRLEY MARQUES CANUTO, CNPAT; EDY SOUSA DE BRITO, CNPAT; RICARDO ELESBAO ALVES, CNAT; RONALDO FERREIRA DO NASCIMENTO, Departamento de Química Analítica e Físico-Química, Universidade Federal do Ceará; GUILHERME JULIAO ZOCOLO, CNPAT. |
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Título: |
GC-MS-based metabolomic profiles combined with chemometric tools and cytotoxic activities of non-polar leaf extracts of Spondias mombin L. and Spondias tuberosa Arr. Cam. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of the Brazilian Chemical Society, Campinas, v. 31, n. 2, p. 331-340, 2020. |
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DOI: |
https://doi.org/10.21577/0103-5053.20190185 |
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Idioma: |
Inglês |
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Conteúdo: |
Agroindustrial residues, such as leaves of fruit plants, can be sources of bioactive molecules, thus adding value to co-products that are rarely explored in agroindustry. In this context, this study aimed to look into the phytochemical profiles in detail and to explore the antitumor potential of S. tuberosa and S. mombin leaves. We observed that, S. tuberosa leaf extract was cytotoxic in both tumor and healthy cells. S. mombin extracts selectively inhibited cell proliferation in the tumor cell line for prostate cancer (PC3) and did not significantly affect healthy cells. The metabolic profiles of the extracts were evaluated by gas chromatography coupled with mass spectrometry and twenty-three metabolites were identified. The correlation of metabolic profiles with cytotoxic tests indicated possible chemical markers that may be responsible for the inhibition of cell proliferation. This study revealed that the unexplored co-products in agroindustry may have great therapeutic potential, and therefore should be screened for biologically active compounds |
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Palavras-Chave: |
Agroindustria; Co-produto; Metabolômica; Residuo agroindustrial. |
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Thesagro: |
Cromatografia; Spondias Mombin; Umbu. |
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Thesaurus NAL: |
Chromatography; Metabolomics; Spondias; Yellow mombins. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208109/1/ART19066.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210746/1/Based-Metabolomic-Profiles-Combined-with-Chemometric-Tools.pdf
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Marc: |
LEADER 02354naa a2200409 a 4500
001 2118083
005 2020-07-03
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.21577/0103-5053.20190185$2DOI
100 1 $aGUEDES, J. A. C.
245 $aGC-MS-based metabolomic profiles combined with chemometric tools and cytotoxic activities of non-polar leaf extracts of Spondias mombin L. and Spondias tuberosa Arr. Cam.$h[electronic resource]
260 $c2020
520 $aAgroindustrial residues, such as leaves of fruit plants, can be sources of bioactive molecules, thus adding value to co-products that are rarely explored in agroindustry. In this context, this study aimed to look into the phytochemical profiles in detail and to explore the antitumor potential of S. tuberosa and S. mombin leaves. We observed that, S. tuberosa leaf extract was cytotoxic in both tumor and healthy cells. S. mombin extracts selectively inhibited cell proliferation in the tumor cell line for prostate cancer (PC3) and did not significantly affect healthy cells. The metabolic profiles of the extracts were evaluated by gas chromatography coupled with mass spectrometry and twenty-three metabolites were identified. The correlation of metabolic profiles with cytotoxic tests indicated possible chemical markers that may be responsible for the inhibition of cell proliferation. This study revealed that the unexplored co-products in agroindustry may have great therapeutic potential, and therefore should be screened for biologically active compounds
650 $aChromatography
650 $aMetabolomics
650 $aSpondias
650 $aYellow mombins
650 $aCromatografia
650 $aSpondias Mombin
650 $aUmbu
653 $aAgroindustria
653 $aCo-produto
653 $aMetabolômica
653 $aResiduo agroindustrial
700 1 $aALVES FILHO, E. DE G.
700 1 $aSILVA, M. F. S.
700 1 $aRODRIGUES, T. H. S.
700 1 $aRAMIRES, C. M. C.
700 1 $aLIMA, M. A. C. de
700 1 $aSILVA, G. S. DA
700 1 $aPESSOA, C. DO Ó
700 1 $aCANUTO, K. M.
700 1 $aBRITO, E. S. de
700 1 $aALVES, R. E.
700 1 $aNASCIMENTO, R. F. DO
700 1 $aZOCOLO, G. J.
773 $tJournal of the Brazilian Chemical Society, Campinas$gv. 31, n. 2, p. 331-340, 2020.
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Embrapa Agroindústria Tropical (CNPAT) |
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