Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Plant, Cell and Environment 2017-Oct

Leaf water 18 O and 2 H maps show directional enrichment discrepancy in Colocasia esculenta.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Cynthia Gerlein-Safdi
Paul P G Gauthier
Craig James Sinkler
Kelly Krispin Caylor

Palavras-chave

Resumo

Spatial patterns of leaf water isotopes are challenging to predict because of the intricate link between vein and lamina water. Many models have attempted to predict these patterns, but to date, most have focused on monocots with parallel veins. These provide a simple system to study, but do not represent the majority of plant species. Here, a new protocol is developed using a Picarro induction module coupled to a cavity ringdown spectrometer to obtain maps of the leaf water isotopes (18 O and 2 H). The technique is applied to Colocasia esculenta leaves. The results are compared with isotope ratio mass spectrometry. In C. esculenta, a large enrichment in the radial direction is observed, but not in the longitudinal direction. The string-of-lakes model fails to predict the observed patterns, while the Farquhar-Gan model is more successful, especially when enrichment is accounted for along the radial direction. Our results show that reticulate-veined leaves experience a larger enrichment along the axis of the secondary veins than along the midrib. We hypothesize that this is due to the lower major/minor vein ratio that leads to longer pathways between major veins and sites of evaporation.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge