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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
15/02/2022 |
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Data da última atualização: |
12/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DEMETRIO, W.; CAVALIERI-POLIZELI, K. M. V.; GUIMARÃES, R. M. L.; FERREIRA, S. de A.; PARRON, L. M.; BROWN, G. G. |
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Afiliação: |
WILIAN DEMETRIO, INPE; KARINA MARIA VIEIRA CAVALIERI-POLIZELI, UFPR; RACHEL MUYLAERT LOCKS GUIMARÃES, UTFPR; STEPHANIE DE ALMEIDA FERREIRA, UFPR; LUCILIA MARIA PARRON VARGAS, CNPF; GEORGE GARDNER BROWN, CNPF. |
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Título: |
Macrofauna communities and their relationship with soil structural quality in different land use systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Soil Research, v. 60, n. 7, p. 648-660, 2022. |
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Páginas: |
13 p. |
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DOI: |
https://doi.org/10.1071/SR21157 |
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Idioma: |
Inglês |
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Conteúdo: |
Context. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, termites and other groups) and Sq were observed, demonstrating that larger macrofauna populations were associated with better soil structural quality. Implications. Biological indicators, like soil macrofauna, can be easily measured at low cost and linked to visual Sq, facilitating simultaneous assessment of soil physical and biological health. MenosContext. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, ... Mostrar Tudo |
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Palavras-Chave: |
Agrosistemas integrado; Integrated agroecosystems; Macroinvertebrado; Mudança no uso da terra; Soil health; VESS. |
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Thesagro: |
Estrutura do Solo; Fauna; Qualidade; Solo. |
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Thesaurus Nal: |
Land use change; Macroinvertebrates; Soil fauna; Soil quality; Soil structure. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02956naa a2200385 a 4500
001 2140053
005 2023-06-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1071/SR21157$2DOI
100 1 $aDEMETRIO, W.
245 $aMacrofauna communities and their relationship with soil structural quality in different land use systems.$h[electronic resource]
260 $c2022
300 $a13 p.
520 $aContext. Soil structural quality (Sq) influences soil water dynamics, greenhouse gas emissions and plant productivity in natural and agricultural environments. Hence, assessing soil structural quality using simple methods is crucial to identifying potential impacts of different land uses. Aims. Identify correlations between Sq and macroinvertebrate communities in seven land use systems (LUS). Methods. Seven LUS were studied: native mixed ombrophylous forest (NF), native grassland (NG), native grass pasture (NP), Eucalyptus sp. plantation (EP, 20-years-old), no-tillage annual cropping (NT), integrated crop-livestock (ICL) and crop-livestock-forestry (ICLF). Each LUS had three plots and Sq and macrofauna community were evaluated. Sq was assessed through visual evaluation of soil structure (VESS) - a Sq score was assigned to each identified layer. Soil macrofauna were hand-sorted from each of these layers. Soil samples were taken in each LUS to describe selected chemical and physical attributes related to soil quality. Results. All LUS had non-degraded soil structure quality (Sq -< 3); however, with differences in Sq among LUS mainly in deeper layers. The VESS showed better Sq in NF (1.53) and NP (1.85) compared to the other LUS, with highest Sq scores for ICL and NG. The NP had the largest macrofauna communities (12 183 ind. m-2), comprising mainly termites and earthworms, with taxa richness highest in NF. Conclusions. Correlations between soil macrofauna (i.e. total density, termites and other groups) and Sq were observed, demonstrating that larger macrofauna populations were associated with better soil structural quality. Implications. Biological indicators, like soil macrofauna, can be easily measured at low cost and linked to visual Sq, facilitating simultaneous assessment of soil physical and biological health.
650 $aLand use change
650 $aMacroinvertebrates
650 $aSoil fauna
650 $aSoil quality
650 $aSoil structure
650 $aEstrutura do Solo
650 $aFauna
650 $aQualidade
650 $aSolo
653 $aAgrosistemas integrado
653 $aIntegrated agroecosystems
653 $aMacroinvertebrado
653 $aMudança no uso da terra
653 $aSoil health
653 $aVESS
700 1 $aCAVALIERI-POLIZELI, K. M. V.
700 1 $aGUIMARÃES, R. M. L.
700 1 $aFERREIRA, S. de A.
700 1 $aPARRON, L. M.
700 1 $aBROWN, G. G.
773 $tSoil Research$gv. 60, n. 7, p. 648-660, 2022.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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Data corrente: |
20/08/2019 |
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Data da última atualização: |
10/10/2019 |
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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: |
NICIURA, S. C. M.; TIZIOTO, P. C.; MORAES, C. V.; CRUVINEL, G. G.; ALBUQUERQUE, A. C. A. de; SANTANA, R. C. M.; CHAGAS, A. C. de S.; ESTEVES, S. N.; BENAVIDES, M. V.; AMARANTE, A. F. T. do. |
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Afiliação: |
SIMONE CRISTINA MEO NICIURA, CPPSE; Polyana Cristine Tizioto, NGS Soluções Genômicas; Caroline Valério Moraes, UFSCar; Giovanna Gabrielle Cruvinel, UNICEP; Ana Cláudia Alexandre de Albuquerque, FMVZ-UNESP; RAUL COSTA MASCARENHAS SANTANA, CPPSE; ANA CAROLINA DE SOUZA CHAGAS, CPPSE; SERGIO NOVITA ESTEVES, CPPSE; MAGDA VIEIRA BENAVIDES, CPPSUL; Alessandro Francisco Talamini do Amarante, IBB-UNESP. |
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Título: |
Extreme-QTL mapping of monepantel resistance in Haemonchus contortus. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Parasites Vectors, v.12, n.403, p.1-11, 2019. |
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DOI: |
https://doi.org/10.1186/s13071-019-3663-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Haemonchus contortus, a gastrointestinal nematode parasite of sheep, is mainly controlled by anthelmintics; the occurrence of anthelmintic resistance leads to treatment failures and increases economic burden. Because molecular mechanisms involved in drug resistance can be elucidated by genomic studies, an extreme quantitative trait locus (X-QTL) mapping approach was used to identify co-segregation of the resistance phenotype with genetic markers to detect the genome-wide variants associated with monepantel resistance in H. contortus. |
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Palavras-Chave: |
Anthelmintic resistance; F2 mapping; Genome sequencing; Sheep gastrointestinal nematodes. |
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Thesaurus NAL: |
Drug resistance. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/201085/1/Extreme-QTL-mapping.pdf
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Marc: |
LEADER 01455naa a2200301 a 4500
001 2111456
005 2019-10-10
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1186/s13071-019-3663-9$2DOI
100 1 $aNICIURA, S. C. M.
245 $aExtreme-QTL mapping of monepantel resistance in Haemonchus contortus.$h[electronic resource]
260 $c2019
520 $aHaemonchus contortus, a gastrointestinal nematode parasite of sheep, is mainly controlled by anthelmintics; the occurrence of anthelmintic resistance leads to treatment failures and increases economic burden. Because molecular mechanisms involved in drug resistance can be elucidated by genomic studies, an extreme quantitative trait locus (X-QTL) mapping approach was used to identify co-segregation of the resistance phenotype with genetic markers to detect the genome-wide variants associated with monepantel resistance in H. contortus.
650 $aDrug resistance
653 $aAnthelmintic resistance
653 $aF2 mapping
653 $aGenome sequencing
653 $aSheep gastrointestinal nematodes
700 1 $aTIZIOTO, P. C.
700 1 $aMORAES, C. V.
700 1 $aCRUVINEL, G. G.
700 1 $aALBUQUERQUE, A. C. A. de
700 1 $aSANTANA, R. C. M.
700 1 $aCHAGAS, A. C. de S.
700 1 $aESTEVES, S. N.
700 1 $aBENAVIDES, M. V.
700 1 $aAMARANTE, A. F. T. do
773 $tParasites Vectors$gv.12, n.403, p.1-11, 2019.
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