Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 10 von 101
Agronomy journal, 2011-11, Vol.103 (6), p.1742-1754
2011
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
Controlled Warming Effects on Wheat Growth and Yield: Field Measurements and Modeling
Ist Teil von
  • Agronomy journal, 2011-11, Vol.103 (6), p.1742-1754
Ort / Verlag
Madison, WI: American Society of Agronomy
Erscheinungsjahr
2011
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
  • Climate warming may raise wheat (Triticum aestivum L.) yields in cooler climates and lower them in warmer climates. To understand these contrasting effects, infrared heating lamps were used to warm irrigated spring wheat by 1.5°C (day) and 3.0°C (night) above unheated controls during different times of the year at Maricopa, AZ. Changes in wheat growth with warming were used to test hypotheses for temperature effects on crop growth in the process model ecosys. Infrared heating substantially raised phytomass growth and grain yield under lower air temperature (Ta) following plantings from September through December. The same heating, however, lowered growth and yield under higher Ta following plantings from January through March. Gains in wheat yield of as much as 200 g C m−2 with heating under lower Ta were attributed in the model to more rapid CO2 fixation and to reduced chilling effects on seed set. These gains were only partially offset by losses from shortened wheat growth periods. Losses in wheat yield of as much as 100 g C m−2 with heating under higher Ta were attributed in the model to adverse effects of heating on crop water status and on CO2 fixation vs. respiration, to greater heat stress effects on seed set, and to shortened crop growth periods. Model hypotheses thus explained contrasting effects of heating on wheat yields under different Ta found in the field experiment as well as in many earlier studies. Well-constrained tests of these hypotheses are vital for models used to project climate change impacts on agricultural ecosystems.

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX