Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments

Khoshravesh, Mojtaba; Sefidkouhi, Mohammad Ali Gholami; Valipour, Mohammad

doi:10.1007/s13201-015-0368-x

Cited by 59 publications

(41 citation statements)

References 51 publications

(16 reference statements)

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“…Gong et al (2003) also reported that application of Si improved water economy and increased the growth of plants under water stress condition. Increase in evapotranspiration as result of thermal stress (Valipour 2015a;Khoshravesh et al 2015) could lead to a reduction in the rate of photosynthesis (Almeselmani and Deshmukh 2012). Late planted wheat decreased the photosynthetic rate that was associated with higher evapotranspiration (Valipour 2015b) and stomatal conductance (Takahashi and Nakaseko 1992).…”

Section: Discussionmentioning

confidence: 99%

Physiological response of late sown wheat to exogenous application of silicon

Sattar¹,

Cheema

Abbas³

et al. 2017

Cereal Research Communications

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Late planting of wheat in rice-wheat cropping system is perhaps one of the major factors responsible for low crop yield. The main cause of reduction in yield is due to supra-optimal conditions during the reproductive growth. High temperature during reproductive phase induces changes in water relations, decreases photosynthetic rate, and transpiration rate, stomatal conductance and antioxidative defence system. Silicon (Si), being a beneficial nutrient not only provides significant benefits to plants growth and development but may also mitigate the adversities of high temperature. A field study was conducted at Agronomic Research Area of University of Agriculture; Faisalabad, Pakistan to assess the performance of late sown wheat with the soil applied Si. Experiment was comprised of three sowing dates; 10 th Nov (normal), 10 th Dec (late), 10 th Jan (very late) with two wheat varieties (Sehar-2006 and Faisalabad-2008), and an optimized dose of Si (100 mg per kg soil), applied at different growth stages (control, crown root, booting and heading). Results indicated that 100 mg Si per kg soil at heading stage offset the negative impact of high temperature and induced heat tolerance in late sown wheat. Silicon application improved 34% relative water contents (RWC), 30% water potential, 26% osmotic potential, 23% turgor potential and 21% photosynthetic rate, and 32% transpiration rate and 20% stomatal conductance in wheat flag leaf than control treatment. Further it was observed that Si application preventing the oxidative membrane damage due to enhanced activity of antioxidant enzymes, i.e. 35% superoxide dismutase (SOD) and 38% catalase (CAT). In conclusion results of this field study demonstrated that soil applied Si (100 mg per kg soil) at heading stage enhanced all physiological attributes of wheat flag leaf. Which in turn ameliorated the adverse effects of high temperature in late sown wheat. Study depicted that Si can be used as a potential nutrient in order to mitigate the losses induced by high temperature stress.

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Section: Discussionmentioning

confidence: 99%

Physiological response of late sown wheat to exogenous application of silicon

Sattar¹,

Cheema

Abbas³

et al. 2017

Cereal Research Communications

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“…2 The accuracy of the time series models increased with increasing amounts of observation data of arid and humid climates. 3 Time series models are appropriate tools for forecasting monthly rainfall forecasting in semi-arid climates.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, ARIMA models are non-static and cannot be used to reconstruct the missing data. However, these models are very useful for forecasting changes in hydrological processes considering agricultural water management, evapotranspiration, and water crisis issues [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Models of time series analysis (Box-Jenkins models) in various fields of hydrology and rainfall forecasting in irrigation schedules are widely applied, some of which will be described in what follows.…”

Section: Introductionmentioning

confidence: 99%

How Much Meteorological Information Is Necessary to Achieve Reliable Accuracy for Rainfall Estimations?

Valipour

2016

Agriculture

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144

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This paper reports the study of the effect of the length of the recorded data used for monthly rainfall forecasting. Monthly rainfall data for three periods of 5, 10, and 49 years were collected from Kermanshah, Mashhad, Ahvaz, and Babolsar stations and used for calibration time series models. Then, the accuracy of the forecasting models was investigated by the following year's data. The following was concluded: In temperate and semi-arid climates, 60 observation data is sufficient for the following year's rainfall forecasting. The accuracy of the time series models increased with increasing amounts of observation data of arid and humid climates. Time series models are appropriate tools for forecasting monthly rainfall forecasting in semi-arid climates. Determining the most critical rainfall month in each climate condition for agriculture schedules is a recommended aim for future studies.

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“…If increased temperature is above the threshold of crops, it will lead to the death of crops (Thornton et al, 2009). In addition, evapotranspiration (ET) is one of the major components of the hydrologic cycle and it is supreme important for many investigations such as irrigation scheduling, crop yield simulation and farm management, particularly in arid environments (Khoshravesh et al, 2015;Valipour, 2014a, b). Thus, higher temperature and erratic rainfall will be expected to have a negative influence on the suitability of these three crops (teff, maize, wheat) (Figures 4, 5, and 6) through decreasing their growth and duration (Gregory et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

The decrease of potential suitable areas and the distribution tendency of staple crops in Ethiopia under future climate conditions

Tan¹,

Yue²,

Wang³

et al. 2016

Afr. J. Agric. Res.

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Rain-fed agriculture is the most common pattern for Ethiopian smallholders, while it is sensitive to climate change in the future. In order to predict the impact of climate change and decrease the risk of food crisis in Ethiopia, the potential crops suitability of teff (Eragrostis tef), maize (Zea mays), wheat (Triticum aestivum Linn.) were simulated and suitable distribution were analyzed by using GIS-MCE (Multi-Criteria Evaluation) Planting Ecological Adaptability model under both current and future (2080s) climate conditions. The simulation showed that climate change will decrease the 14% potential suitable areas of teff from 41 to 27% and also reduce that of wheat from 33 to 29% in the future, while the potential suitable regions for maize will remain almost stable, or even slightly more (1%) in the future (46%) compared to the current conditions (45%). Overall, agriculture will suffer negative impacts on the main crops in Ethiopia. All these three crops' potential suitable lands are gathering to higher altitude which is in the centre of the whole nation because of warmer temperature. Thus, maize may become more widely grown and compete for lands with teff and wheat in high and mid-altitude. In this study, our model results can help both the policymakers and the smallholders to amend the existing limitations, as well as to plan better long-term strategies under the future climate scenarios.

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Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments

Cited by 59 publications

References 51 publications

Physiological response of late sown wheat to exogenous application of silicon

Physiological response of late sown wheat to exogenous application of silicon

How Much Meteorological Information Is Necessary to Achieve Reliable Accuracy for Rainfall Estimations?

The decrease of potential suitable areas and the distribution tendency of staple crops in Ethiopia under future climate conditions

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