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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
24/04/2014 |
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Data da última atualização: |
24/04/2014 |
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Autoria: |
VILHENA, A. M. G. F.; RABELO, L. S.; BASTOS, E. M. A. F.; AUGUSTO, S. C. |
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Afiliação: |
Alice Maria Guimarães Fernandes Vilhena; Laíce Souza Rabelo; Esther Margarida Alves Ferreira Bastos; Solange Cristina Augusto. |
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Título: |
Acerola pollinators in the savanna of Central Brazil: temporal variations in oil-collecting bee richness and a mutualistic network. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Apidologie, v. 43, n. 1, 51-62, 2012. |
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Idioma: |
Português |
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Conteúdo: |
We present parameters to support the conservation and management of Acerola pollinators. We monitored pollinator visits to this fruit shrub in a Brazilian savanna and identified the pollinator?s other food resources. Twenty-three species of pollinators were sampled. Although there were temporal variations in visitor frequency, satisfactory levels of fruit set were obtained. This temporal variation promoted a compensatory effect on plant reproduction as the pollinator species were replaced during the course of flowering. The analysis of pollen loads showed grains of 16 plant species and four pollen types belonging to seven families that formed a network with a nested pattern. Such a network suggests that generalist plants must be available in the crop vicinity. The data presented suggest the natural viability of cultivating Acerola in the savannas of Central Brazil and the importance of natural lands for providing nesting resources and to enhance the bee diversity in agroecosystems. |
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Palavras-Chave: |
Bee; Biologia floral; Interação de rede; Natural resource. |
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Thesagro: |
Abelha; Acerola; Polinização; Recurso natural. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01745naa a2200253 a 4500
001 1985030
005 2014-04-24
008 2012 bl uuuu u00u1 u #d
100 1 $aVILHENA, A. M. G. F.
245 $aAcerola pollinators in the savanna of Central Brazil$btemporal variations in oil-collecting bee richness and a mutualistic network.$h[electronic resource]
260 $c2012
520 $aWe present parameters to support the conservation and management of Acerola pollinators. We monitored pollinator visits to this fruit shrub in a Brazilian savanna and identified the pollinator?s other food resources. Twenty-three species of pollinators were sampled. Although there were temporal variations in visitor frequency, satisfactory levels of fruit set were obtained. This temporal variation promoted a compensatory effect on plant reproduction as the pollinator species were replaced during the course of flowering. The analysis of pollen loads showed grains of 16 plant species and four pollen types belonging to seven families that formed a network with a nested pattern. Such a network suggests that generalist plants must be available in the crop vicinity. The data presented suggest the natural viability of cultivating Acerola in the savannas of Central Brazil and the importance of natural lands for providing nesting resources and to enhance the bee diversity in agroecosystems.
650 $aAbelha
650 $aAcerola
650 $aPolinização
650 $aRecurso natural
653 $aBee
653 $aBiologia floral
653 $aInteração de rede
653 $aNatural resource
700 1 $aRABELO, L. S.
700 1 $aBASTOS, E. M. A. F.
700 1 $aAUGUSTO, S. C.
773 $tApidologie$gv. 43, n. 1, 51-62, 2012.
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Embrapa Semiárido (CPATSA) |
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
04/06/2018 |
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Data da última atualização: |
04/06/2018 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MORENO, L. S. B.; BOOTE, K. J. |
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Afiliação: |
LEONARDO SIMOES DE BARROS MORENO, CNPASA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA, Gainesville, FL. |
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Título: |
Modeling the regrowth of forage grasses: simulating growth, partitioning, and carbon and nitrogen metabolism. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: ASA-CSSA-SSSA INTERNATIONAL ANNUAL MEETINGS, 2016, Phoenix. Resilience emerging from scarcity and abundance: proceedings. Madison: American Society of Agronomy, 2016. |
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Idioma: |
Inglês |
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Notas: |
Resumo 379-7. |
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Conteúdo: |
Reserves play an important role in plants undergoing stress. Plants adapted to defoliation use reserve compounds to regrow leaf area. Modeling grass regrowth should account for these processes. A field experiment was conducted in Gainesville, FL, to study herbage production, partitioning and mobilization of reserve compounds of two tropical grasses (Jiggs bermudagrass and Mulato-2 brachiaria grass), under the combination of two light levels ? 56% and 100% solar radiation, and two N rates ? 30 and 120 kg N ha-1 after each harvest. Herbage mass was quantified at harvest every 28 days. |
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Thesagro: |
Carbono; Forragem; Metabolismo Nitrogenado; Modelo de Simulação. |
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Thesaurus NAL: |
Carbon; Forage grasses; Nitrogen metabolism. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178017/1/CNPASA-2016-asa.pdf
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Marc: |
LEADER 01372nam a2200217 a 4500
001 2092171
005 2018-06-04
008 2016 bl uuuu u00u1 u #d
100 1 $aMORENO, L. S. B.
245 $aModeling the regrowth of forage grasses$bsimulating growth, partitioning, and carbon and nitrogen metabolism.$h[electronic resource]
260 $aIn: ASA-CSSA-SSSA INTERNATIONAL ANNUAL MEETINGS, 2016, Phoenix. Resilience emerging from scarcity and abundance: proceedings. Madison: American Society of Agronomy$c2016
500 $aResumo 379-7.
520 $aReserves play an important role in plants undergoing stress. Plants adapted to defoliation use reserve compounds to regrow leaf area. Modeling grass regrowth should account for these processes. A field experiment was conducted in Gainesville, FL, to study herbage production, partitioning and mobilization of reserve compounds of two tropical grasses (Jiggs bermudagrass and Mulato-2 brachiaria grass), under the combination of two light levels ? 56% and 100% solar radiation, and two N rates ? 30 and 120 kg N ha-1 after each harvest. Herbage mass was quantified at harvest every 28 days.
650 $aCarbon
650 $aForage grasses
650 $aNitrogen metabolism
650 $aCarbono
650 $aForragem
650 $aMetabolismo Nitrogenado
650 $aModelo de Simulação
700 1 $aBOOTE, K. J.
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