Simulation of the impacts of climate change on phenology, growth, and yield of various rice genotypes in humid sub-tropical environments using AquaCrop-Rice

Raoufi, Roxana Seyed; Soufizadeh, Saeid

doi:10.1007/s00484-020-01946-5

Cited by 14 publications

(5 citation statements)

References 44 publications

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“…Although vegetative and reproductive phases are equally prone to climate warming 37,145,149 , the impact of high temperature on pollen viability, fertilization and post-fertilization processes leads to a marked decrease in final yield 16,145,150 . However, all phenological stages are not equally responsive to climate warming effects and do not have equal impacts to final yield 12,103,127,[151][152][153] . Tao et al 38 investigated the effects of phenology shift on yield of wheat, maize and rice during 1981 to 2000.…”

Section: Effect Of Phenological Shifts On Crop Yieldmentioning

confidence: 99%

The fingerprints of climate warming on cereal crops phenology and adaptation options

Fatima

Ahmed

Hussain

et al. 2020

Sci Rep

205

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Growth and development of cereal crops are linked to weather, day length and growing degree-days (GDDs) which make them responsive to the specific environments in specific seasons. Global temperature is rising due to human activities such as burning of fossil fuels and clearance of woodlands for building construction. The rise in temperature disrupts crop growth and development. Disturbance mainly causes a shift in phenological development of crops and affects their economic yield. Scientists and farmers adapt to these phenological shifts, in part, by changing sowing time and cultivar shifts which may increase or decrease crop growth duration. Nonetheless, climate warming is a global phenomenon and cannot be avoided. In this scenario, food security can be ensured by improving cereal production through agronomic management, breeding of climate-adapted genotypes and increasing genetic biodiversity. In this review, climate warming, its impact and consequences are discussed with reference to their influences on phenological shifts. Furthermore, how different cereal crops adapt to climate warming by regulating their phenological development is elaborated. Based on the above mentioned discussion, different management strategies to cope with climate warming are suggested.

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Section: Effect Of Phenological Shifts On Crop Yieldmentioning

confidence: 99%

The fingerprints of climate warming on cereal crops phenology and adaptation options

Fatima

Ahmed

Hussain

et al. 2020

Sci Rep

205

View full text Add to dashboard Cite

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“…For AquaCrop model to be used for a specific crop, it needs to be calibrated and validated using field crop data and weather records. AquaCrop model has been calibrated and validated for maize (Hsiao et al, 2009;Jin et al, 2020), soybeans (Steduto et al, 2009), sorghum, sunflower (Stricevic et al, 2011),, tomatoes (Katerji et al, 2013;Rinaldi et al, 2011), wheat (Upreti et al, 2020), sugar beet (Stricevic et al, 2011), potatoes (De La Casa et al, 2013), ground nuts (Chibarabada et al, 2020, rice (Raoufi & Soufizadeh, 2020), cotton (Farahani et al, 2009) and barley (López-Urrea et al, 2020). However, no published information is readily available on calibration and validation of AquaCrop for chickpea.…”

Section: Introductionmentioning

confidence: 99%

AquaCrop model calibration and validation for chickpea(Cicer arietinum)in Southern Africa.

Mubvuma

Ogola

Mhizha

2021

Cogent Food & Agriculture

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The study parameterised and validated performance of AquaCrop model, to simulate attainable yields for chickpea crop in response to the effects of planting date in the Northestern Region of South Africa. Model calibration data were obtained from two field experiments of contrasting water regime, planted in 2014 winter season at University of Venda, South Africa, whilst data for model validation was obtained from 2015 planting season from the same station. The model performance was satisfactory, with a good combination between the simulated and observed canopy cover (CC), Soil water content (SWC), biomass (B) and grain yield (Y). All the statistical indicators (R 2 , RMSE, and MAPE) used to compare field observed and model-predicted parameters, showed good performance. For example, the regression analysis of simulated and observed yield showed a good relationship with R 2 values of 0.949, 0.928 and 0.990 for early, normal and late planting dates, respectively, whilst RMSE was 0.135, 0.143 and 0.031 for early, normal and late planting dates. Similarly, SWC had strong regression relationship (R 2 = 0.982, 0.949, 0.954, respectively, and a RMSE of 0.226, 0.696 and 0.310, respectively, in early, normal and late planting date). The results indicate that the model could be used for evaluating the effects of different planting dates on chickpea yield.

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“…In addition, the model is preferred in the studies of estimating the effects of climate change on crop yield productivity (Deveci et al, 2019;Gürkan, 2019;Konukcu et al, 2020;Raoufi et al, 2020;Yesilkoy, 2020;Stricevic et al, 2021). The Aquacrop model provides ease of use in climate change studies with the CO2 projection data of IPCC's different climate scenarios (SRES and RCPs) presented in the database.…”

Section: The Aquacrop Crop Simulation Modelmentioning

confidence: 99%

Evaluation of the Impacts of Climate Change on Sunflower with Aquacrop Model

GÜRKAN

2023

Tekirdağ Ziraat Fakültesi Dergisi

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Climate change has become one of the most significant risk factors in agricultural production. Plant productivity declines caused by climate change pose a serious threat to food supply and security. Crop simulation models have been widely used in recent years for the assessment of the impacts of climate change on agricultural production. In Konya, there have been limited studies on the potential effects of climate change on sunflower production. Sunflower, the main crop of the most imported agricultural product group, in which the production amount is currently insufficient to cover domestic consumption demand, is strategically important for the Turkish economy. The goal of this study was to examine the effects of climate change on sunflower yield in Türkiye by using the Aquacrop model. The data of the field experiment carried out on the Ekllor sunflower cultivar for two years in Konya conditions were used as material. The daily projection dataset of three Global Climate Models (HadGEM2-ES, MPI-ESM-MR, GFDL-ESM2M) and two scenarios (RCP4.5 and RCP8.5) were used to analyze climate change impacts. The 1971-2000 period was considered as the reference period and the 2022-2098 period was selected as the future period. The results confirmed that the Aquacrop model was able to satisfactorily simulate yield with NRMSE 2.10 % for the rainfed condition and 10.55 % for the irrigated condition, a d-index of 0.97, and a modeling efficiency of 0.91. Aqaucrop climate change impacts simulation which was based on 3 global climate models covering with 2022 -2098 period simulations projected that sunflower yield would be decreased in a range of 21% to 44% for RCP4.5 and 18% to 50% for RCP8.5 scenarios under rainfed conditions. In contrast, the yield would be increased in a range of 11% to 23% for RCP4.5 and 10% to 33% for RCP8.5 scenarios under irrigated conditions. The findings point to the use of appropriate water management measures for future sunflower production as a means of adapting to climate change.

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Simulation of the impacts of climate change on phenology, growth, and yield of various rice genotypes in humid sub-tropical environments using AquaCrop-Rice

Cited by 14 publications

References 44 publications

The fingerprints of climate warming on cereal crops phenology and adaptation options

The fingerprints of climate warming on cereal crops phenology and adaptation options

AquaCrop model calibration and validation for chickpea(Cicer arietinum)in Southern Africa.

Evaluation of the Impacts of Climate Change on Sunflower with Aquacrop Model

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