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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
21/03/2022 |
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Data da última atualização: |
07/06/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, V. P. de; MARTINS, W. B. R.; RODRIGUES, J. I. de M.; SILVA, A. R.; LOPES, J. do C. A.; LIMA NETO, J. F. de; SCHWARTZ, G. |
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Afiliação: |
VICTOR PEREIRA DE OLIVEIRA, UFRA; WALMER BRUNO ROCHA MARTINS, UEPA; JULIA ISABELLA DE MATOS RODRIGUES, UFRA; ARYSTIDES RESENDE SILVA, CPATU; JOSE DO CARMO ALVES LOPES, CPATU; JOÃO FERNANDES DE LIMA NETO, Imerys; GUSTAVO SCHWARTZ, CPATU. |
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Título: |
Are liming and pit size determining for tree species establishment in degraded areas by kaolin mining? |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Ecological Engineering, v. 178, Article 106599, May 2022. |
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DOI: |
https://doi.org/10.1016/j.ecoleng.2022.106599 |
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Idioma: |
Inglês |
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Conteúdo: |
Mining contributes to the global economy on different scales and plays a fundamental role in the development of the goods and services sectors. However, the negative impacts caused by the activity are unavoidable, as they intensely degrade soil structures and modify landscapes. The use of native tree species has been effective in restoring the structure and functions of post-mining ecosystems in the Amazon. Thus, the objective of this work was to evaluate chemical indicators of soil quality, survival and initial growth of six tree species planted in degraded ecosystem by kaolin mining under the effects of liming in three pit volumes in the Eastern Amazon. The initial conditions indicated highly degraded soil, with acidic pH, low content of OM, P and K. Liming significantly reduced the level of toxic Al in the soil and provided Ca and Mg for the plants. Through Principal Component Analysis (PCA), we found that the two first components explained 69.30% of the variance of 13 functional indicators of soil quality. PC1 was positively correlated with Ca, Mg, K, SB, CEC and V% and negatively correlated with H+Al and Al saturation. Survival was higher than 80% for Clitoria fairchildiana in all treatments. Liming and pit volume were determining in growth, with high growth rates in height of Inga edulis, Inga cayennensis, Clitoria fairchildiana and Tachigali vulgaris. The species used in this study presented good initial development in restoring ecosystems after kaolin mining. |
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Palavras-Chave: |
Indicadores ecológicos; Restauração florestal. |
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Thesagro: |
Mineração. |
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Thesaurus Nal: |
Amazonia; Forest restoration; Mining. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02362naa a2200277 a 4500
001 2141111
005 2022-06-07
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.ecoleng.2022.106599$2DOI
100 1 $aOLIVEIRA, V. P. de
245 $aAre liming and pit size determining for tree species establishment in degraded areas by kaolin mining?$h[electronic resource]
260 $c2022
520 $aMining contributes to the global economy on different scales and plays a fundamental role in the development of the goods and services sectors. However, the negative impacts caused by the activity are unavoidable, as they intensely degrade soil structures and modify landscapes. The use of native tree species has been effective in restoring the structure and functions of post-mining ecosystems in the Amazon. Thus, the objective of this work was to evaluate chemical indicators of soil quality, survival and initial growth of six tree species planted in degraded ecosystem by kaolin mining under the effects of liming in three pit volumes in the Eastern Amazon. The initial conditions indicated highly degraded soil, with acidic pH, low content of OM, P and K. Liming significantly reduced the level of toxic Al in the soil and provided Ca and Mg for the plants. Through Principal Component Analysis (PCA), we found that the two first components explained 69.30% of the variance of 13 functional indicators of soil quality. PC1 was positively correlated with Ca, Mg, K, SB, CEC and V% and negatively correlated with H+Al and Al saturation. Survival was higher than 80% for Clitoria fairchildiana in all treatments. Liming and pit volume were determining in growth, with high growth rates in height of Inga edulis, Inga cayennensis, Clitoria fairchildiana and Tachigali vulgaris. The species used in this study presented good initial development in restoring ecosystems after kaolin mining.
650 $aAmazonia
650 $aForest restoration
650 $aMining
650 $aMineração
653 $aIndicadores ecológicos
653 $aRestauração florestal
700 1 $aMARTINS, W. B. R.
700 1 $aRODRIGUES, J. I. de M.
700 1 $aSILVA, A. R.
700 1 $aLOPES, J. do C. A.
700 1 $aLIMA NETO, J. F. de
700 1 $aSCHWARTZ, G.
773 $tEcological Engineering$gv. 178, Article 106599, May 2022.
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Embrapa Amazônia Oriental (CPATU) |
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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
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/06/2015 |
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Data da última atualização: |
10/06/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MUÑOZ, P. R.; RESENDE JUNIOR, M. F. R.; GEZAN, S. A.; RESENDE, M. D. V. de; CAMPOS, G. de los; KIRST, M.; HUBER, D.; PETER, G. F. |
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Afiliação: |
Patricio R. Muñoz, University of Florida; Marcio F. R. Resende Jr.; Salvador A. Gezan; MARCOS DEON VILELA DE RESENDE, CNPF; Gustavo de los Campos; Matias Kirst; Dudley Huber; Gary F. Peter, University of Florida. |
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Título: |
Unraveling additive from nonadditive effects using genomic relationship matrices. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics, v. 198, p. 1759-1768, Dec. 2014. |
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DOI: |
10.1534/genetics.114.171322 |
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Idioma: |
Inglês |
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Conteúdo: |
The application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves our current understanding of the genetic control and architecture of a quantitative trait and should be considered when developing breeding strategies. MenosThe application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves ... Mostrar Tudo |
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Palavras-Chave: |
G-BLUP; Genomic selection; Matriz de relacionamento; Melhoramento genético; Relationship matrices; Seleção genômica. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02502naa a2200289 a 4500
001 2017257
005 2015-06-10
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1534/genetics.114.171322$2DOI
100 1 $aMUÑOZ, P. R.
245 $aUnraveling additive from nonadditive effects using genomic relationship matrices.$h[electronic resource]
260 $c2014
520 $aThe application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves our current understanding of the genetic control and architecture of a quantitative trait and should be considered when developing breeding strategies.
653 $aG-BLUP
653 $aGenomic selection
653 $aMatriz de relacionamento
653 $aMelhoramento genético
653 $aRelationship matrices
653 $aSeleção genômica
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aGEZAN, S. A.
700 1 $aRESENDE, M. D. V. de
700 1 $aCAMPOS, G. de los
700 1 $aKIRST, M.
700 1 $aHUBER, D.
700 1 $aPETER, G. F.
773 $tGenetics$gv. 198, p. 1759-1768, Dec. 2014.
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