| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
|
Data corrente: |
17/12/2021 |
|
Data da última atualização: |
27/01/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
ALMEIDA, J. D. de; MOTTA, I. O.; VIDAL, L. A.; NASCIMENTO, E. F. M. B.; BILIO, J.; PUPE, J. M.; VEIGA, A. D.; CARVALHO, C. H. S. de; LOPES, R. B.; ROCHA, T. L.; SILVA, L. P. da; PUJOL-LUZ, J. R.; FREIRE, E. V. S. A. |
|
Afiliação: |
JULIANA DANTAS DE ALMEIDA, Cenargen; ISABELA O. MOTTA; LEONARDO A. VIDAL; ELIZA F. M. B. NASCIMENTO; JOÃO BILIO; JÚLIA M. PUPE; ADRIANO DELLY VEIGA, CPAC; CARLOS HENRIQUE S DE CARVALHO, CNPCa; ROGERIO BIAGGIONI LOPES, Cenargen; THALES LIMA ROCHA, Cenargen; LUCIANO PAULINO DA SILVA, Cenargen; JOSÉ R. PUJOL-LUZ, UNB; ERIKA VALERIA SALIBA ALBUQUERQUE FR, Cenargen. |
|
Título: |
A comprehensive review of the coffee leaf miner leucoptera coffeella (lepidoptera: lyonetiidae): a major pest for the coffee crop in Brazil and others neotropical countries. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Insects, v. 12, n. 12, 2021. |
|
DOI: |
https://doi.org/10.3390/insects12121130 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The coffee leaf miner (CLM) Leucoptera coffeella moth is a major threat to coffee production. Insect damage is related to the feeding behavior of the larvae on the leaf. During the immature life stages, the insect feeds in the mesophyll triggering necrosis and causing loss of photosynthetic capacity, defoliation and significant yield loss to coffee crops. Chemical control is used to support the coffee production chain, though market requirements move toward conscious consumption claiming for more sustainable methods. In this overview, we discuss aspects about the CLM concerning biology, history, geographical distribution, economic impacts, and the most relevant control strategies in progress. Insights to develop an integrated approach for a safer and eco-friendly control of the CLM are discussed here, including bio-extracts, nanotechnology, pheromones, and tolerant cultivars. |
|
Palavras-Chave: |
Biopesticide; CLM; Cultivar; Life cycle; Resistance. |
|
Thesaurus Nal: |
Biological control; Biopesticides; Chemical control; Varietal resistance; Varieties. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230564/1/A-Comprehensive-Review-of-the-Coffee-Leaf.pdf
|
|
Marc: |
LEADER 02067naa a2200397 a 4500
001 2139369
005 2022-01-27
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/insects12121130$2DOI
100 1 $aALMEIDA, J. D. de
245 $aA comprehensive review of the coffee leaf miner leucoptera coffeella (lepidoptera$blyonetiidae): a major pest for the coffee crop in Brazil and others neotropical countries.$h[electronic resource]
260 $c2021
520 $aThe coffee leaf miner (CLM) Leucoptera coffeella moth is a major threat to coffee production. Insect damage is related to the feeding behavior of the larvae on the leaf. During the immature life stages, the insect feeds in the mesophyll triggering necrosis and causing loss of photosynthetic capacity, defoliation and significant yield loss to coffee crops. Chemical control is used to support the coffee production chain, though market requirements move toward conscious consumption claiming for more sustainable methods. In this overview, we discuss aspects about the CLM concerning biology, history, geographical distribution, economic impacts, and the most relevant control strategies in progress. Insights to develop an integrated approach for a safer and eco-friendly control of the CLM are discussed here, including bio-extracts, nanotechnology, pheromones, and tolerant cultivars.
650 $aBiological control
650 $aBiopesticides
650 $aChemical control
650 $aVarietal resistance
650 $aVarieties
653 $aBiopesticide
653 $aCLM
653 $aCultivar
653 $aLife cycle
653 $aResistance
700 1 $aMOTTA, I. O.
700 1 $aVIDAL, L. A.
700 1 $aNASCIMENTO, E. F. M. B.
700 1 $aBILIO, J.
700 1 $aPUPE, J. M.
700 1 $aVEIGA, A. D.
700 1 $aCARVALHO, C. H. S. de
700 1 $aLOPES, R. B.
700 1 $aROCHA, T. L.
700 1 $aSILVA, L. P. da
700 1 $aPUJOL-LUZ, J. R.
700 1 $aFREIRE, E. V. S. A.
773 $tInsects$gv. 12, n. 12, 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
27/02/2023 |
|
Data da última atualização: |
27/02/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
SANTOS, I. G. DOS; PEIXOTO, M. A.; CRUZ, C. D.; FERREIRA, R. de P.; NASCIMENTO, M.; ROSADO, R. D. S.; SANT ANNA, I. DE C. |
|
Afiliação: |
IARA GONÇALVES DOS SANTOS, Federal Univ. of Viçosa; MARCO ANTÔNIO PEIXOTO, Federal Univ. of Viçosa; COSME DAMIÃO CRUZ, Federal Univ. of Viçosa; REINALDO DE PAULA FERREIRA, CPPSE; MOYSÉS NASCIMENTO, Federal Univ. of Viçosa; RENATO DOMICIANO SILVA ROSADO, Federal Univ. of Viçosa; ISABELA DE CASTRO SANT ANNA, Agronomic Institute of Campinas. |
|
Título: |
A novel approach to determine tropical persistence on alfalfa germplasm. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Agronomy Journal, v. 114, p. 3225-3233, 2022. |
|
DOI: |
https://doi.org/10.1002/agj2.21147 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Persistence plays a key role in alfalfa (Medicago sativa L. ssp. sativa) cultivation in tropical areas, but it is still a restriction for breeding programs. The objectives of this study were to identify persistent alfalfa accessions evaluated under tropical conditions, and to propose a method for selecting persistent accessions based on random regression (RR) models using artificial neural networks (ANN). Dry matter yield (DMY) of 77 alfalfa accessions from 24 cuts was measured to evaluate persistence using different RR models. A persistence method was proposed based on the trajectory curves of the accessions. The fitted curves showed a great amplitude regarding DMY over time, which suggest high persistence variability. The three-step method for accessing persistence presented in this study included RR modeling to obtain trends of persistence, k-means to define different persistence clusters, and ANN to perform persistence classification in an automated way. When new accessions are evaluated by an alfalfa breeding program, they will be classified according to their genetic values scores using the same ANN previously fitted. The ANN will greatly enhance the decision-making process. |
|
Palavras-Chave: |
Alfalfa germplasm. |
|
Thesagro: |
Alfafa; Medicago Sativa. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 01906naa a2200241 a 4500
001 2151959
005 2023-02-27
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/agj2.21147$2DOI
100 1 $aSANTOS, I. G. DOS
245 $aA novel approach to determine tropical persistence on alfalfa germplasm.$h[electronic resource]
260 $c2022
520 $aPersistence plays a key role in alfalfa (Medicago sativa L. ssp. sativa) cultivation in tropical areas, but it is still a restriction for breeding programs. The objectives of this study were to identify persistent alfalfa accessions evaluated under tropical conditions, and to propose a method for selecting persistent accessions based on random regression (RR) models using artificial neural networks (ANN). Dry matter yield (DMY) of 77 alfalfa accessions from 24 cuts was measured to evaluate persistence using different RR models. A persistence method was proposed based on the trajectory curves of the accessions. The fitted curves showed a great amplitude regarding DMY over time, which suggest high persistence variability. The three-step method for accessing persistence presented in this study included RR modeling to obtain trends of persistence, k-means to define different persistence clusters, and ANN to perform persistence classification in an automated way. When new accessions are evaluated by an alfalfa breeding program, they will be classified according to their genetic values scores using the same ANN previously fitted. The ANN will greatly enhance the decision-making process.
650 $aAlfafa
650 $aMedicago Sativa
653 $aAlfalfa germplasm
700 1 $aPEIXOTO, M. A.
700 1 $aCRUZ, C. D.
700 1 $aFERREIRA, R. de P.
700 1 $aNASCIMENTO, M.
700 1 $aROSADO, R. D. S.
700 1 $aSANT ANNA, I. DE C.
773 $tAgronomy Journal$gv. 114, p. 3225-3233, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
