| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
11/11/2021 |
|
Data da última atualização: |
11/11/2021 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
DIAS, H. B.; CUADRA, S. V.; FIGUEIREDO, G. K. D. A.; LAMPARELLI, R. A. C.; SILVA, L. E. A.; SILVA, Y. F. da; MORO, E.; ALVES, M. R.; MAGALHÃES, P. S. G. |
|
Afiliação: |
HENRIQUE BORIOLO DIAS, UNICAMP; SANTIAGO VIANNA CUADRA, CNPTIA; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, FEAGRI/UNICAMP; RUBENS AUGUSTO CAMARGO LAMPARELLI, NIPE/UNICAMP; LEANDRO EDUARDO ANNIBAL SILVA; YANE FREITAS DA SILVA, FEAGRI/UNICAMP; EDEMAR MORO, UNOESTE; MARCELO RODRIGO ALVES, UNOESTE; PAULO SERGIO GRAZIANO MAGALHÃES, NIPE/UNICAMP. |
|
Título: |
Modelling integrated crop-livestock systems: preliminary results from an agroecosystem model. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787. |
|
ISBN: |
978-65-994135-4-4 |
|
Idioma: |
Inglês |
|
Notas: |
WCCLF 2021. Evento online. |
|
Conteúdo: |
ABSTRACT. Integrated Crop-Livestock Systems (ICLS) are being considered to improve food production sustainability and are of increasing interest to the modelling community worldwide. Our goal was to evaluate the ability of an agroecosystem model simulator (ECOSMOS) to predict plant growth and yield, and water dynamics in an ICLS in the Western region of São Paulo State, Brazil. Four fields of approximately 50 ha each were monitored after the implementation of the ICLS at the end of 2018. Soybean yields (two seasons), mixed-pasture aboveground dry biomass and soil water content (for the pasture only) measurements were contrasted with predictions from ECOSMOS with recently implemented soybean and pasture sub-models. Preliminary results from a generic simulation for the whole farm showed that the model was able to capture fairly well the seasonal variation in growth and water dynamics. Such results suggest that the existing knowledge and modelling approaches embedded in the model are robust. Future steps toward modelling the ICLS will involve to parameterise the model for Brazilian cultivars of the system using data from controlled/manipulative experiments, develop a framework to simulate two plants concomitantly, and then assess its capability to predict environmental variables of interest, such as carbon dynamics. |
|
Palavras-Chave: |
Agriculture (Soybean); Integrated crop-livestock systems; Intensification; Modelagem; Pasture; Sistemas integrados lavoura-pecuária. |
|
Thesagro: |
Agricultura; Pastagem; Soja. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227705/1/PC-Modeling-integrated-crop-WCCLF-2021.pdf
|
|
Marc: |
LEADER 02435nam a2200337 a 4500
001 2136082
005 2021-11-11
008 2021 bl uuuu u00u1 u #d
020 $a978-65-994135-4-4
100 1 $aDIAS, H. B.
245 $aModelling integrated crop-livestock systems$bpreliminary results from an agroecosystem model.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference. Brasília, DF: Embrapa, 2021. p. 782-787.$c2021
500 $aWCCLF 2021. Evento online.
520 $aABSTRACT. Integrated Crop-Livestock Systems (ICLS) are being considered to improve food production sustainability and are of increasing interest to the modelling community worldwide. Our goal was to evaluate the ability of an agroecosystem model simulator (ECOSMOS) to predict plant growth and yield, and water dynamics in an ICLS in the Western region of São Paulo State, Brazil. Four fields of approximately 50 ha each were monitored after the implementation of the ICLS at the end of 2018. Soybean yields (two seasons), mixed-pasture aboveground dry biomass and soil water content (for the pasture only) measurements were contrasted with predictions from ECOSMOS with recently implemented soybean and pasture sub-models. Preliminary results from a generic simulation for the whole farm showed that the model was able to capture fairly well the seasonal variation in growth and water dynamics. Such results suggest that the existing knowledge and modelling approaches embedded in the model are robust. Future steps toward modelling the ICLS will involve to parameterise the model for Brazilian cultivars of the system using data from controlled/manipulative experiments, develop a framework to simulate two plants concomitantly, and then assess its capability to predict environmental variables of interest, such as carbon dynamics.
650 $aAgricultura
650 $aPastagem
650 $aSoja
653 $aAgriculture (Soybean)
653 $aIntegrated crop-livestock systems
653 $aIntensification
653 $aModelagem
653 $aPasture
653 $aSistemas integrados lavoura-pecuária
700 1 $aCUADRA, S. V.
700 1 $aFIGUEIREDO, G. K. D. A.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aSILVA, L. E. A.
700 1 $aSILVA, Y. F. da
700 1 $aMORO, E.
700 1 $aALVES, M. R.
700 1 $aMAGALHÃES, P. S. G.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Uva e Vinho. |
|
Data corrente: |
23/10/2017 |
|
Data da última atualização: |
06/05/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
FAJARDO, T. V. M.; SILVA, F. N.; EIRAS, M.; NICKEL, O. |
|
Afiliação: |
THOR VINICIUS MARTINS FAJARDO, CNPUV; Fábio N. Silva, Universidade do Estado de Santa Catarina, Lages, SC 88520-000, Brazil; Marcelo Eiras, Instituto Biológico de São Paulo, São Paulo, SP 04014-002, Brazil; OSMAR NICKEL, CNPUV. |
|
Título: |
High-throughput sequencing applied for the identification of viruses infecting grapevines in Brazil and genetic variability analysis. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
Tropical Plant Pathology, v. 52, p. 250-260, 2017. |
|
DOI: |
10.1007/s40858-017-0142-8 |
|
Idioma: |
Português |
|
Conteúdo: |
The application of high-throughput sequencing technologies (HTS) enables the recovery of many nucleotide sequence fragments from diseased plants and may help in pathogen identification. This study was designed to identify viruses infecting 15 grapevine (Vitis spp.) samples collected from experimental fields and vine collections and assess the genetic variability of the identified viruses. The virus-enriched dsRNAs were extracted from bark scrapings and sequenced using an Illumina platform. The paired-end reads were analyzed, assembled contigs were generated and identified as related to viruses. Contigs of 14 viruses have been identified, some of them covering large extensions of viral genomes or resulting in assembly of near-complete or complete genomes. Grapevine virus infections are usually mixed and the HTS assays were suitable to identify ten viruses already reported that traditionally infect grapevines in Brazil, one that has been recently identified (Grapevine Syrah virus 1) and others (Grapevine Cabernet Sauvignon reovirus, Grapevine Red Globe virus and Grapevine vein clearing virus) not previously reported in this country. Nucleotide identities among Brazilian isolates identified by HTS and homologous grapevine virus sequences in GenBank were high, ranging from 77% to 99%. Genetic variability analysis of viral sequences obtained by HTS and sequences available in GenBank indicated that the coding regions in the different viral species are under purifying selection, and that recombination events occurred in the majority of the viral species analyzed. The coat protein genes, generally, had lower genetic variability than the replicase and movement protein genes. Keywords Vitis . Diagnosis . HTS . Next-generation sequencing . NGS . Variability MenosThe application of high-throughput sequencing technologies (HTS) enables the recovery of many nucleotide sequence fragments from diseased plants and may help in pathogen identification. This study was designed to identify viruses infecting 15 grapevine (Vitis spp.) samples collected from experimental fields and vine collections and assess the genetic variability of the identified viruses. The virus-enriched dsRNAs were extracted from bark scrapings and sequenced using an Illumina platform. The paired-end reads were analyzed, assembled contigs were generated and identified as related to viruses. Contigs of 14 viruses have been identified, some of them covering large extensions of viral genomes or resulting in assembly of near-complete or complete genomes. Grapevine virus infections are usually mixed and the HTS assays were suitable to identify ten viruses already reported that traditionally infect grapevines in Brazil, one that has been recently identified (Grapevine Syrah virus 1) and others (Grapevine Cabernet Sauvignon reovirus, Grapevine Red Globe virus and Grapevine vein clearing virus) not previously reported in this country. Nucleotide identities among Brazilian isolates identified by HTS and homologous grapevine virus sequences in GenBank were high, ranging from 77% to 99%. Genetic variability analysis of viral sequences obtained by HTS and sequences available in GenBank indicated that the coding regions in the different viral species are under purifying selection, an... Mostrar Tudo |
|
Palavras-Chave: |
Diagnosis; HTS; Next-generation sequencing; NGS. |
|
Thesaurus NAL: |
variability; Vitis. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/197010/1/Fajardo2017-Article-High-throughputSequencingAppli.pdf
|
|
Marc: |
LEADER 02498naa a2200241 a 4500
001 2077833
005 2019-05-06
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1007/s40858-017-0142-8$2DOI
100 1 $aFAJARDO, T. V. M.
245 $aHigh-throughput sequencing applied for the identification of viruses infecting grapevines in Brazil and genetic variability analysis.$h[electronic resource]
260 $c2017
520 $aThe application of high-throughput sequencing technologies (HTS) enables the recovery of many nucleotide sequence fragments from diseased plants and may help in pathogen identification. This study was designed to identify viruses infecting 15 grapevine (Vitis spp.) samples collected from experimental fields and vine collections and assess the genetic variability of the identified viruses. The virus-enriched dsRNAs were extracted from bark scrapings and sequenced using an Illumina platform. The paired-end reads were analyzed, assembled contigs were generated and identified as related to viruses. Contigs of 14 viruses have been identified, some of them covering large extensions of viral genomes or resulting in assembly of near-complete or complete genomes. Grapevine virus infections are usually mixed and the HTS assays were suitable to identify ten viruses already reported that traditionally infect grapevines in Brazil, one that has been recently identified (Grapevine Syrah virus 1) and others (Grapevine Cabernet Sauvignon reovirus, Grapevine Red Globe virus and Grapevine vein clearing virus) not previously reported in this country. Nucleotide identities among Brazilian isolates identified by HTS and homologous grapevine virus sequences in GenBank were high, ranging from 77% to 99%. Genetic variability analysis of viral sequences obtained by HTS and sequences available in GenBank indicated that the coding regions in the different viral species are under purifying selection, and that recombination events occurred in the majority of the viral species analyzed. The coat protein genes, generally, had lower genetic variability than the replicase and movement protein genes. Keywords Vitis . Diagnosis . HTS . Next-generation sequencing . NGS . Variability
650 $avariability
650 $aVitis
653 $aDiagnosis
653 $aHTS
653 $aNext-generation sequencing
653 $aNGS
700 1 $aSILVA, F. N.
700 1 $aEIRAS, M.
700 1 $aNICKEL, O.
773 $tTropical Plant Pathology$gv. 52, p. 250-260, 2017.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Uva e Vinho (CNPUV) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
