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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
16/02/2009 |
Data da última atualização: |
07/07/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FERREIRA, C.; Van der LEE, T. A. J.; QUIROS, O.; HERRERT, B. L.; CARLIER, J.; TRUJILLO, C. D.; GOODWIN, S. B.; GUZMAN, M.; SOUZA, M.; KEMA, G. H. J. |
Afiliação: |
Cláudia Fortes Ferreira, CNPMF; Theo A. J. van der Lee, PRI-Plant Research International; Olman Quiros, PRI-Plant Research International; Bas L. Herrert, PRI-Plant Research International; Jean Carlier, PRI-Plant Research International; Caucasella D. Trujillo, PRI-Plant Research International; Stephen B. Goodwin, PRI-Plant Research International; Mauricio Guzman, PRI-Plant Research International; Manoel Souza, PRI-Plant Research International; Gert H. J. Kema, PRI-Plant Research International. |
Título: |
Development of cost effective tools for assessing genetic diversity of Mycosphaerella fijiensis, the causal agent of black-Sigatoka disease in bananas (Musa spp.). |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: EUROPEAN CONFERENCE ON FUNGAL GENETICS, 9., 2008, Edinburgh. Meeting abstracts... Edinburgh: University of Edinburgh, 2008. |
Idioma: |
Inglês |
Notas: |
PR9.29 |
Conteúdo: |
Mycosphaerella fijiensis, the causal agent of banana leaf streak disease, commonly know as Black Sigatoka disease, is one of the most devastating plant pathogens. M. fijiensis is a relatively new pathogen and still actively colonizes new areas where bananas are grown. Using the genome sequence of M. fijiensis isolate CIRAD86 (http://www.genome.jgi-psf.org/Mycfi1/Mycfi1.home.html) we identified variable number of tandem repeat (VNTR) markers using a bioinformatics pipeline. The VNTR screening resulted in 1528 candidate VNTR loci of which many were imperfect mono - di - or tri - nucleotide repeats. Sixteen VNTR markers were selected based on repeat type, repeat length and the number of units of the repeat. Primers for these 16 VNTR markers were tested on a set of M. fijiensis isolates and five VNTR markers that showed multiple alleles were tested on progeny isolates and field isolates. The markers allowed robust scoring on agarose gels and proved useful for variability and population genetic studies using basic molecular instrumentation. We envisage that this set will allow more detailed analysis of the large scale migration pattern of this important pathogen and the small scale effect of fungicide tratments on the population diversity in banana plantations. |
Thesagro: |
Banana; Doença de Planta; Fungo; Genética Vegetal; Sigatoka Negra. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02228nam a2200289 a 4500 001 1655542 005 2023-07-07 008 2008 bl uuuu u00u1 u #d 100 1 $aFERREIRA, C. 245 $aDevelopment of cost effective tools for assessing genetic diversity of Mycosphaerella fijiensis, the causal agent of black-Sigatoka disease in bananas (Musa spp.).$h[electronic resource] 260 $aIn: EUROPEAN CONFERENCE ON FUNGAL GENETICS, 9., 2008, Edinburgh. Meeting abstracts... Edinburgh: University of Edinburgh$c2008 500 $aPR9.29 520 $aMycosphaerella fijiensis, the causal agent of banana leaf streak disease, commonly know as Black Sigatoka disease, is one of the most devastating plant pathogens. M. fijiensis is a relatively new pathogen and still actively colonizes new areas where bananas are grown. Using the genome sequence of M. fijiensis isolate CIRAD86 (http://www.genome.jgi-psf.org/Mycfi1/Mycfi1.home.html) we identified variable number of tandem repeat (VNTR) markers using a bioinformatics pipeline. The VNTR screening resulted in 1528 candidate VNTR loci of which many were imperfect mono - di - or tri - nucleotide repeats. Sixteen VNTR markers were selected based on repeat type, repeat length and the number of units of the repeat. Primers for these 16 VNTR markers were tested on a set of M. fijiensis isolates and five VNTR markers that showed multiple alleles were tested on progeny isolates and field isolates. The markers allowed robust scoring on agarose gels and proved useful for variability and population genetic studies using basic molecular instrumentation. We envisage that this set will allow more detailed analysis of the large scale migration pattern of this important pathogen and the small scale effect of fungicide tratments on the population diversity in banana plantations. 650 $aBanana 650 $aDoença de Planta 650 $aFungo 650 $aGenética Vegetal 650 $aSigatoka Negra 700 1 $aVan der LEE, T. A. J. 700 1 $aQUIROS, O. 700 1 $aHERRERT, B. L. 700 1 $aCARLIER, J. 700 1 $aTRUJILLO, C. D. 700 1 $aGOODWIN, S. B. 700 1 $aGUZMAN, M. 700 1 $aSOUZA, M. 700 1 $aKEMA, G. H. J.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
28/07/2023 |
Data da última atualização: |
28/07/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 3 |
Autoria: |
QUEIROZ, R. F. P.; OLIVEIRA, M. V. N. d'; REZENDE, A. V.; ALENCAR, P. A. L. de. |
Afiliação: |
ROBERTA FRANCO PEREIRA DE QUEIROZ, UNIVERSIDADE DE BRASILIA; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; ALBA VALÉRIA REZENDE, UNIVERSIDADE DE BRASILIA; PAOLA AIRES LÓCIO DE ALENCAR, UNIVERSIDADE DE BRASILIA. |
Título: |
Estimation of aboveground biomass stock in tropical savannas using photogrammetric imaging. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Drones, v. 7, n. 8, 493, July 2023. |
ISSN: |
2504-446X |
DOI: |
https://doi.org/10.3390/drones7080493 |
Idioma: |
Inglês |
Conteúdo: |
The use of photogrammetry technology for aboveground biomass (AGB) stock estimation in tropical savannas is a challenging task and is still at a preliminary stage. This work aimed to use metrics derived from point clouds, constructed using photogrammetric imaging obtained by an RGB camera on board a remotely piloted aircraft (RPA), to generate a model for estimating AGB stock for the shrubby-woody stratum in savanna areas of Central Brazil (Cerrado). AGB stock was estimated using forest inventory data and an allometric equation. The photogrammetric digital terrain model (DTM) was validated with altimetric field data, demonstrating that the passive sensor can identify topographic variations in sites with discontinuous canopies. The inventory estimated an average AGB of 18.3 (±13.3) Mg ha-1 at the three sampled sites. The AGB model selected was composed of metrics used for height at the 10th and 95th percentile, with an adjusted R2 of 93% and a relative root mean squared error (RMSE) of 16%. AGB distribution maps were generated from the spatialization of the metrics selected for the model, optimizing the visualization and our understanding of the spatial distribution of forest AGB. The study represents a step forward in mapping biomass and carbon stocks in tropical savannas using low-cost remote sensing platforms. |
Palavras-Chave: |
Aerial photogrammetry; Árboles forestales; Biomasa aérea; Distrito Federal (DF); Drone; Estimación; Sabanas; Teledetección; Vehículos aéreos no tripulados. |
Thesagro: |
Aerofotogrametria; Árvore Florestal; Biomassa; Cerrado; Estimativa; Parte Aérea; Sensoriamento Remoto. |
Thesaurus NAL: |
Aboveground biomass; Estimation; Forest trees; Remote sensing; Savannas; Unmanned aerial vehicles. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155389/1/27471.pdf
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Marc: |
LEADER 02598naa a2200445 a 4500 001 2155389 005 2023-07-28 008 2023 bl uuuu u00u1 u #d 022 $a2504-446X 024 7 $ahttps://doi.org/10.3390/drones7080493$2DOI 100 1 $aQUEIROZ, R. F. P. 245 $aEstimation of aboveground biomass stock in tropical savannas using photogrammetric imaging.$h[electronic resource] 260 $c2023 520 $aThe use of photogrammetry technology for aboveground biomass (AGB) stock estimation in tropical savannas is a challenging task and is still at a preliminary stage. This work aimed to use metrics derived from point clouds, constructed using photogrammetric imaging obtained by an RGB camera on board a remotely piloted aircraft (RPA), to generate a model for estimating AGB stock for the shrubby-woody stratum in savanna areas of Central Brazil (Cerrado). AGB stock was estimated using forest inventory data and an allometric equation. The photogrammetric digital terrain model (DTM) was validated with altimetric field data, demonstrating that the passive sensor can identify topographic variations in sites with discontinuous canopies. The inventory estimated an average AGB of 18.3 (±13.3) Mg ha-1 at the three sampled sites. The AGB model selected was composed of metrics used for height at the 10th and 95th percentile, with an adjusted R2 of 93% and a relative root mean squared error (RMSE) of 16%. AGB distribution maps were generated from the spatialization of the metrics selected for the model, optimizing the visualization and our understanding of the spatial distribution of forest AGB. The study represents a step forward in mapping biomass and carbon stocks in tropical savannas using low-cost remote sensing platforms. 650 $aAboveground biomass 650 $aEstimation 650 $aForest trees 650 $aRemote sensing 650 $aSavannas 650 $aUnmanned aerial vehicles 650 $aAerofotogrametria 650 $aÁrvore Florestal 650 $aBiomassa 650 $aCerrado 650 $aEstimativa 650 $aParte Aérea 650 $aSensoriamento Remoto 653 $aAerial photogrammetry 653 $aÁrboles forestales 653 $aBiomasa aérea 653 $aDistrito Federal (DF) 653 $aDrone 653 $aEstimación 653 $aSabanas 653 $aTeledetección 653 $aVehículos aéreos no tripulados 700 1 $aOLIVEIRA, M. V. N. d' 700 1 $aREZENDE, A. V. 700 1 $aALENCAR, P. A. L. de 773 $tDrones$gv. 7, n. 8, 493, July 2023.
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