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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
29/07/2020 |
Data da última atualização: |
03/10/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BERNARDO, C. das C.; PEREIRA JUNIOR, R. A.; LUZ, C.; MASCARIN, G. M.; FERNANDES, E. K. K. |
Afiliação: |
CÍNTIA DAS CHAGAS BERNARDO, UFG; RONALDO ALVES PERERIA JUNIOR, UFG; CHRISTIAN LUZ, UFG; GABRIEL MOURA MASCARIN, CNPMA; ÉVERTON KORT KAMP FERNANDES, UFG. |
Título: |
Differential susceptibility of blastospores and aerial conidia of entomopathogenic fungi to heat and UV-B stresses. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Fungal Biology, v. 124, n. 8, p. 714-722, 2020. |
DOI: |
https://doi.org/10.1016/j.funbio.2020.04.003 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: We investigated the comparative susceptibility to heat and UV-B radiation of blastospores and aerial conidia of Metarhizium spp. (Metarhizium robertsii IP 146, Metarhizium anisopliae s.l. IP 363 and Metarhizium acridum ARSEF 324) and Beauveria bassiana s.l. (IP 361 and CG 307). Conidia and blastospores were produced in solid or liquid Adámek-modified medium, respectively, and then exposed to heat (45 ± 0.2 °C) in a range of 0 (control) to 360 min; the susceptibility of fungal propagules to heat exposures was assessed to express relative viability. Similarly, both propagules of each isolate were also exposed to a range of 0 (control) to 8.1 kJ m?2 under artificial UV-B radiation. Our results showed that fungal isolates, propagule types and exposure time or dose of the stressor source play critical roles in fungal survival challenged with UV-B and heat. Conidia of ARSEF 324, IP 363, IP 146 and IP 361 exposed to heat survived significantly longer than their blastospores, except for blastospores of CG 307. Conidia and blastospores of IP 146 and IP 363 were equally tolerant to UV-B radiation. We claim that blastospores of certain isolates may be promising candidates to control arthropod pests in regions where heat and UV-B are limiting environmental factors. |
Palavras-Chave: |
Fungal propagule; Thermotolerance; UV tolerance. |
Thesagro: |
Calor; Controle Biológico; Fungo Para Controle Biológico; Raio Ultravioleta; Resistência a Temperatura. |
Thesaurus Nal: |
Abiotic stress; Beauveria; Biological control agents; Entomopathogenic fungi; Heat tolerance; Metarhizium; Ultraviolet radiation. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 02408naa a2200361 a 4500 001 2124082 005 2020-10-03 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.funbio.2020.04.003$2DOI 100 1 $aBERNARDO, C. das C. 245 $aDifferential susceptibility of blastospores and aerial conidia of entomopathogenic fungi to heat and UV-B stresses.$h[electronic resource] 260 $c2020 520 $aAbstract: We investigated the comparative susceptibility to heat and UV-B radiation of blastospores and aerial conidia of Metarhizium spp. (Metarhizium robertsii IP 146, Metarhizium anisopliae s.l. IP 363 and Metarhizium acridum ARSEF 324) and Beauveria bassiana s.l. (IP 361 and CG 307). Conidia and blastospores were produced in solid or liquid Adámek-modified medium, respectively, and then exposed to heat (45 ± 0.2 °C) in a range of 0 (control) to 360 min; the susceptibility of fungal propagules to heat exposures was assessed to express relative viability. Similarly, both propagules of each isolate were also exposed to a range of 0 (control) to 8.1 kJ m?2 under artificial UV-B radiation. Our results showed that fungal isolates, propagule types and exposure time or dose of the stressor source play critical roles in fungal survival challenged with UV-B and heat. Conidia of ARSEF 324, IP 363, IP 146 and IP 361 exposed to heat survived significantly longer than their blastospores, except for blastospores of CG 307. Conidia and blastospores of IP 146 and IP 363 were equally tolerant to UV-B radiation. We claim that blastospores of certain isolates may be promising candidates to control arthropod pests in regions where heat and UV-B are limiting environmental factors. 650 $aAbiotic stress 650 $aBeauveria 650 $aBiological control agents 650 $aEntomopathogenic fungi 650 $aHeat tolerance 650 $aMetarhizium 650 $aUltraviolet radiation 650 $aCalor 650 $aControle Biológico 650 $aFungo Para Controle Biológico 650 $aRaio Ultravioleta 650 $aResistência a Temperatura 653 $aFungal propagule 653 $aThermotolerance 653 $aUV tolerance 700 1 $aPEREIRA JUNIOR, R. A. 700 1 $aLUZ, C. 700 1 $aMASCARIN, G. M. 700 1 $aFERNANDES, E. K. K. 773 $tFungal Biology$gv. 124, n. 8, p. 714-722, 2020.
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Embrapa Meio Ambiente (CNPMA) |
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| 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: |
29/01/2019 |
Data da última atualização: |
09/11/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
PEZZOPANE, J. R. M.; BERNARDI, A. C. de C.; BOSI, C.; CRIPPA, P. H.; SANTOS, P. M.; NARDACHIONE, E. C. |
Afiliação: |
JOSE RICARDO MACEDO PEZZOPANE, CPPSE; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; Cristiam Bosi, USP/Escola Superior de Agricultura Luiz de Queiroz; Paulo Henrique Crippa, USP/Faculdade de Zootecnia e Engenharia de Alimentos; PATRICIA MENEZES SANTOS, CPPSE; Estefânia Cereda Nardachione, USP/Faculdade de Zootecnia e Engenharia de Alimentos. |
Título: |
Assessment of Piatã palisadegrass forage mass in integrated livestock production systems using a proximal canopy reflectance sensor. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
European Journal of Agronomy, v. 103, p. 130-139, 2019. |
Idioma: |
Inglês |
Conteúdo: |
Estimates of forage mass can help in decision making for pasture management and stocking rate adjustment in pastoral systems. This study aimed to estimate Piatã palisadegrass forage mass under full sun and shaded livestock production systems using vegetation indexes obtained with a proximal canopy reflectance sensor. Pasture canopy reflectance was measured at three fractions of the radiation spectrum (670, 720, and 760 nm). Total forage mass, morphological composition, and leaf area index (LAI) were assessed at the same time as reflectance in all production systems. Reflectance data were used to calculate vegetation indexes (normalized difference vegetation index ? NDVI, normalized difference red edge ? NDVI_RE, simple ratio index ? SRI, modified simple ratio ? MSR, and chlorophyll index) for each assessment. Linear and exponential regression analyses between vegetation indexes and total forage mass, leaf+stem mass, leaf mass, and LAI were performed. The equations generated by these analyses were used to estimate such pasture variables. The best estimates of leaf+stem mass, leaf mass, and LAI were obtained using SRI (R2 between 0.55 and 0.84) for the full sun systems, MSR (R2 from 0.67 to 0.93) for the shaded systems, and NDVI (R2 between 0.65 and 0.91) when all systems were analyzed together. These pasture variables can be estimated by general equations developed for both full sun and shaded livestock production systems. However, total forage mass estimates were less efficient (R2 of 0.03?0.53), due to differences in canopy structure and senescent material content between production systems. MenosEstimates of forage mass can help in decision making for pasture management and stocking rate adjustment in pastoral systems. This study aimed to estimate Piatã palisadegrass forage mass under full sun and shaded livestock production systems using vegetation indexes obtained with a proximal canopy reflectance sensor. Pasture canopy reflectance was measured at three fractions of the radiation spectrum (670, 720, and 760 nm). Total forage mass, morphological composition, and leaf area index (LAI) were assessed at the same time as reflectance in all production systems. Reflectance data were used to calculate vegetation indexes (normalized difference vegetation index ? NDVI, normalized difference red edge ? NDVI_RE, simple ratio index ? SRI, modified simple ratio ? MSR, and chlorophyll index) for each assessment. Linear and exponential regression analyses between vegetation indexes and total forage mass, leaf+stem mass, leaf mass, and LAI were performed. The equations generated by these analyses were used to estimate such pasture variables. The best estimates of leaf+stem mass, leaf mass, and LAI were obtained using SRI (R2 between 0.55 and 0.84) for the full sun systems, MSR (R2 from 0.67 to 0.93) for the shaded systems, and NDVI (R2 between 0.65 and 0.91) when all systems were analyzed together. These pasture variables can be estimated by general equations developed for both full sun and shaded livestock production systems. However, total forage mass estimates were less effici... Mostrar Tudo |
Palavras-Chave: |
Capim Piatã; Forage mass; ILPF; Piatã palisadegrass forage. |
Thesagro: |
Pastagem; Sombreamento. |
Thesaurus NAL: |
Pastures. |
Categoria do assunto: |
A Sistemas de Cultivo |
Marc: |
LEADER 02420naa a2200265 a 4500 001 2104948 005 2023-11-09 008 2019 bl uuuu u00u1 u #d 100 1 $aPEZZOPANE, J. R. M. 245 $aAssessment of Piatã palisadegrass forage mass in integrated livestock production systems using a proximal canopy reflectance sensor.$h[electronic resource] 260 $c2019 520 $aEstimates of forage mass can help in decision making for pasture management and stocking rate adjustment in pastoral systems. This study aimed to estimate Piatã palisadegrass forage mass under full sun and shaded livestock production systems using vegetation indexes obtained with a proximal canopy reflectance sensor. Pasture canopy reflectance was measured at three fractions of the radiation spectrum (670, 720, and 760 nm). Total forage mass, morphological composition, and leaf area index (LAI) were assessed at the same time as reflectance in all production systems. Reflectance data were used to calculate vegetation indexes (normalized difference vegetation index ? NDVI, normalized difference red edge ? NDVI_RE, simple ratio index ? SRI, modified simple ratio ? MSR, and chlorophyll index) for each assessment. Linear and exponential regression analyses between vegetation indexes and total forage mass, leaf+stem mass, leaf mass, and LAI were performed. The equations generated by these analyses were used to estimate such pasture variables. The best estimates of leaf+stem mass, leaf mass, and LAI were obtained using SRI (R2 between 0.55 and 0.84) for the full sun systems, MSR (R2 from 0.67 to 0.93) for the shaded systems, and NDVI (R2 between 0.65 and 0.91) when all systems were analyzed together. These pasture variables can be estimated by general equations developed for both full sun and shaded livestock production systems. However, total forage mass estimates were less efficient (R2 of 0.03?0.53), due to differences in canopy structure and senescent material content between production systems. 650 $aPastures 650 $aPastagem 650 $aSombreamento 653 $aCapim Piatã 653 $aForage mass 653 $aILPF 653 $aPiatã palisadegrass forage 700 1 $aBERNARDI, A. C. de C. 700 1 $aBOSI, C. 700 1 $aCRIPPA, P. H. 700 1 $aSANTOS, P. M. 700 1 $aNARDACHIONE, E. C. 773 $tEuropean Journal of Agronomy$gv. 103, p. 130-139, 2019.
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