Assessment of heat stress and cloudiness probabilities in post ‑ flowering of spring wheat and canola in the Southern Cone of South America

Episodes of heat stress constrain crop production and will be aggravated in the near future according to short and mediumterm climate scenarios. Global increase in cloudiness has also been observed, decreasing the incident solar radiation. This work was aimed to quantify the probability of occurrenc...

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Otros Autores: Rivelli, Gonzalo Martín, Fernández Long, María Elena, Abeledo, Leonor Gabriela, Calderini, Daniel Fernando, Miralles, Daniel Julio, Rondanini, Déborah Paola
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Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2021rivelli.pdf
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Aporte de:Registro referencial: Solicitar el recurso aquí
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245 1 0 |a Assessment of heat stress and cloudiness probabilities in post ‑ flowering of spring wheat and canola in the Southern Cone of South America 
520 |a Episodes of heat stress constrain crop production and will be aggravated in the near future according to short and mediumterm climate scenarios. Global increase in cloudiness has also been observed, decreasing the incident solar radiation. This work was aimed to quantify the probability of occurrence of heat stress and cloudiness, alone or combined, during the typical post-flowering period of wheat and canola in the Southern Cone of South America. Extended climate series (last 3–5 decades with daily register) of 33 conventional weather stations from Argentina, Brazil, Chile and Uruguay (23 to 40°S) were analysed considering the period from September to December. Two different daily events of heat stress were determined: (i) maximum daily temperature above 30 °C (T major to 30 °C) and (ii) 5 °C above the historical average maximum temperature of that day (T + 5 °C). A cloudiness event was defined in our work as incident solar radiation 50% lower than the historical average radiation of that day (R50%). The T major to 30 °C event increased its probability of occurrence throughout the post-flowering phase, from September to December. By contrast, the risk of T + 5 °C event decreased slightly, just like for R50%, and the higher the latitude, the lower the probability of R50%. The T major to 30 °C plus R50% combined stresses reached greater cumulated probabilities during post-flowering, compared to T + 5 °C plus R50%, being 42% vs 15% in northernmost locations, 26% vs.19% in central (between 31 and 35°S) and 28% vs. 1% in southernmost locations, respectively. A curvilinear relationship emerged between the monthly probability of combined stresses and the number of days with stress per month. In summary, T major to 30 °C was the most frequent thermal stress during post-flowering in wheat and canola. Both combined stresses had a noticeable risk of occurrence, but T major to 30 °C plus R50% was the highest. Evidence of the recent past and current occurrence of heat stress individually, and its combination with cloudiness events during post-flowering of temperate crops, serves as a baseline for future climate scenarios in main cropped areas in the Southern Cone of South America. 
653 |a HEAT STRESS 
653 |a CLOUDINESS 
653 |a POST‑FLOWERING 
653 |a WHEAT 
653 |a CANOLA 
653 |a SOUTH AMERICA 
700 1 |a Rivelli, Gonzalo Martín  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.  |9 38058 
700 1 |9 27281  |a Fernández Long, María Elena  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina. 
700 1 |a Abeledo, Leonor Gabriela  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.  |u CONICET. Buenos Aires, Argentina.  |9 11135 
700 1 |a Calderini, Daniel Fernando  |u Universidad Austral de Chile. Instituto de Producción y Sanidad Vegetal. Valdivia, Chile.  |9 7947 
700 1 |a Miralles, Daniel Julio  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.  |u CONICET. Buenos Aires, Argentina.  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |9 6438 
700 1 |a Rondanini, Déborah Paola  |u Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.  |u CONICET. Buenos Aires, Argentina.  |9 11330 
773 |t Theoretical and Applied Climatology  |g Vol.145, no.3-4 (2021), p.1485–1502, tbls., grafs. mapas 
856 |x ARTI202210  |f 2021rivelli  |i En reservorio  |q application/pdf  |u http://ri.agro.uba.ar/files/intranet/articulo/2021rivelli.pdf 
856 |u http://www.springer.com/  |z LINK AL EDITOR 
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