Estimating the potential impact of climate change on sunflower yield in the Konya province of Turkey. (12th December 2020)
- Record Type:
- Journal Article
- Title:
- Estimating the potential impact of climate change on sunflower yield in the Konya province of Turkey. (12th December 2020)
- Main Title:
- Estimating the potential impact of climate change on sunflower yield in the Konya province of Turkey
- Authors:
- Gurkan, Hudaverdi
Shelia, Vakhtang
Bayraktar, Nilgun
Ersoy Yildirim, Y.
Yesilekin, Nebi
Gunduz, Arzu
Boote, Kenneth
Porter, Cheryl
Hoogenboom, Gerrit - Abstract:
- Abstract: The impact of climate change on agricultural productivity is difficult to assess. However, determining the possible effects of climate change is an absolute necessity for planning by decision-makers. The aim of the study was the evaluation of the CSM-CROPGRO-Sunflower model of DSSAT4.7 and the assessment of impact of climate change on sunflower yield under future climate projections. For this purpose, a 2-year sunflower field experiment was conducted under semi-arid conditions in the Konya province of Turkey. Rainfed and irrigated treatments were used for model analysis. For the assessment of impact of climate change, three global climate models and two representative concentration pathways, i.e. 4.5 and 8.5 were selected. The evaluation of the model showed that the model was able to simulate yield reasonably well, with normalized root mean square error of 1.3% for the irrigated treatment and 17.7% for the rainfed treatment, a d -index of 0.98 and a modelling efficiency of 0.93 for the overall model performance. For the climate change scenarios, the model predicted that yield will decrease in a range of 2.9–39.6% under rainfed conditions and will increase in a range of 7.4–38.5% under irrigated conditions. Results suggest that temperature increases due to climate change will cause a shortening of plant growth cycles. Projection results also confirmed that increasing temperatures due to climate change will cause an increase in sunflower water requirements in theAbstract: The impact of climate change on agricultural productivity is difficult to assess. However, determining the possible effects of climate change is an absolute necessity for planning by decision-makers. The aim of the study was the evaluation of the CSM-CROPGRO-Sunflower model of DSSAT4.7 and the assessment of impact of climate change on sunflower yield under future climate projections. For this purpose, a 2-year sunflower field experiment was conducted under semi-arid conditions in the Konya province of Turkey. Rainfed and irrigated treatments were used for model analysis. For the assessment of impact of climate change, three global climate models and two representative concentration pathways, i.e. 4.5 and 8.5 were selected. The evaluation of the model showed that the model was able to simulate yield reasonably well, with normalized root mean square error of 1.3% for the irrigated treatment and 17.7% for the rainfed treatment, a d -index of 0.98 and a modelling efficiency of 0.93 for the overall model performance. For the climate change scenarios, the model predicted that yield will decrease in a range of 2.9–39.6% under rainfed conditions and will increase in a range of 7.4–38.5% under irrigated conditions. Results suggest that temperature increases due to climate change will cause a shortening of plant growth cycles. Projection results also confirmed that increasing temperatures due to climate change will cause an increase in sunflower water requirements in the future. Thus, the results reveal the necessity to apply adequate water management strategies for adaptation to climate change for sunflower production. … (more)
- Is Part Of:
- Journal of agricultural science. Volume 158:Number 10(2020)
- Journal:
- Journal of agricultural science
- Issue:
- Volume 158:Number 10(2020)
- Issue Display:
- Volume 158, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 158
- Issue:
- 10
- Issue Sort Value:
- 2020-0158-0010-0000
- Page Start:
- 806
- Page End:
- 818
- Publication Date:
- 2020-12-12
- Subjects:
- Climate change projection -- CSM-CROPGRO -- DSSAT -- GCM -- sunflower
Agriculture -- Periodicals
630.5 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=AGS ↗
http://www.journals.cambridge.org/journal%5FTheJournalofAgriculturalScience ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1017/S0021859621000101 ↗
- Languages:
- English
- ISSNs:
- 0021-8596
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD Digital store
- Ingest File:
- 18666.xml