Your browser doesn't support javascript.
loading
Canopy warming accelerates development in soybean and maize, offsetting the delay in soybean reproductive development by elevated CO2 concentrations.
Ruiz-Vera, Ursula M; Siebers, Matthew H; Jaiswal, Deepak; Ort, Donald R; Bernacchi, Carl J.
Afiliação
  • Ruiz-Vera UM; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Siebers MH; Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Jaiswal D; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Ort DR; Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Bernacchi CJ; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Plant Cell Environ ; 41(12): 2806-2820, 2018 12.
Article em En | MEDLINE | ID: mdl-30055106
ABSTRACT
Increases in atmospheric CO2 concentrations ([CO2 ]) and surface temperature are known to individually have effects on crop development and yield, but their interactive effects have not been adequately investigated under field conditions. We evaluated the impacts of elevated [CO2 ] with and without canopy warming as a function of development in soybean and maize using infrared heating arrays nested within free air CO2 enrichment plots over three growing seasons. Vegetative development accelerated in soybean with temperature plus elevated [CO2 ] resulting in higher node number. Reproductive development was delayed in soybean under elevated [CO2 ], but warming mitigated this delay. In maize, both vegetative and reproductive developments were accelerated by warming, whereas elevated [CO2 ] had no apparent effect on development. Treatment-induced changes in the leaf carbohydrates, dark respiration rate, morphological parameters, and environmental conditions accompanied the changes in plant development. We used two thermal models to investigate their ability to predict the observed development under warming and elevated [CO2 ]. Whereas the growing degree day model underestimated the thermal threshold to reach each developmental stage, the alternative process-based model used (ß function) was able to predict crop development under climate change conditions.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glycine max / Dióxido de Carbono / Zea mays Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Cell Environ Assunto da revista: BOTANICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glycine max / Dióxido de Carbono / Zea mays Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Cell Environ Assunto da revista: BOTANICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos