Water Requirements and Irrigation Scheduling of Maize Crop using CROPWAT Model

Bhat, Shakeel Ahmad; Pandit, Bilal Ahmad; Khan, Junaid N.; Kumar, Rajnish; Jan, Rehana

doi:10.20546/ijcmas.2017.611.199

Cited by 21 publications

(14 citation statements)

References 6 publications

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“…Data of plant height, 100 grain weight, ear length and grain yield are within agreement with those reported by Bhat et al (2017) and Eissa et al (2017), who found that slightly water stress caused a slightly significant reduction in grain yield.…”

Section: -Effect Of Irrigation Intervals On Yield and Some Yield Attsupporting

confidence: 91%

“…A lysimeter experiment plot was conducted to study how the irrigation intervals could affect plant-water relation and their consequences on crop production. Bhat et al (2017) showed that the irrigation management model (CROPWAT Model) can estimate the crop water requirements. Calculated evapotranspiration and crop water requirements permit the development of recommendation for improving irrigation management, the planning of irrigation schedules under different water supply condition and yields drop under various conditions.…”

Section: Intorductionmentioning

confidence: 99%

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Water Requirements and Irrigation Scheduling Maize Crop by Empirical Equations Using Lysemters

El-Henawy

El-Sayed

2018

Journal of Soil Sciences and Agricultural Engineering

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A lysimeters experiment was designed to study how to manage irrigation scheduling using different empirical equations compared to traditional irrigation method. Design of experiment was random block with three replicates. The experiment was repeated in two successive seasons (2016 and 2017) using maize crop. Four irrigation treatments were used as T 1 for traditional, T 2 by Belany -Criddle equation, T 3 by Radiation equation and T 4 by penman equation. All irrigation treatments were inserted by 70% of soil water depletion. The results showed that T 3 had the highest values of water productivity (0.89 kg/m 3 ) and productivity of irrigation (0.63 kg/m 3 ) as an overall average of the two seasons. Data revealed also that T 1 had the highest overall mean values applied water and water consumptive use (3862.47 m 3 /fed &2826.02 m 3 /fed). The results indicated that the highest values for grain yield was recorded by irrigation treatment T 3 with values of 2013.90 and 1925.53 kg/fed as well as 16.33 and 18.37cm for ear length in the first and second season, respectively. Also, 100 grain weight and plant height had the highest values by treatment T 3 as compared to treatment T 1 , T 2 and T 4 . Under the condition of this study recommends that, the farmers under the experimental area who cultivate maize crop should irrigate every 11 days to maximize the productivity for crop and both of water productivity and productivity of irrigation water.

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Section: -Effect Of Irrigation Intervals On Yield and Some Yield Attsupporting

confidence: 91%

Section: Intorductionmentioning

confidence: 99%

Water Requirements and Irrigation Scheduling Maize Crop by Empirical Equations Using Lysemters

El-Henawy

El-Sayed

2018

Journal of Soil Sciences and Agricultural Engineering

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“…Generally, there is a consensus that the computer software "CROPWAT", developed by FAO, is a decision support tool for the estimation of water requirements of crops based on their evapotranspiration, to facilitate planning of water management, and the scheduling of irrigation in the event of rainfall deficits (Bhat et al, 2017;Ewaid et al, 2019;Khan and Walker, 2015). No doubt, the use of the CROPWAT model has given rise to improved decisions and practices in terms of timely and appropriate and supplemental irrigation practices.…”

Section: Introductionmentioning

confidence: 99%

“…No doubt, the use of the CROPWAT model has given rise to improved decisions and practices in terms of timely and appropriate and supplemental irrigation practices. However, most studies have limited their scope of the application of the CROPWAT model to estimating crop water requirements (Bhat et al, 2017;Yazew et al, 2012), irrigation scheduling (Berhane et al, 2010), and yield response and reduction (Loum et al, 2014); combination of crop water requirement and yield reduction (Bana et al, 2013); crop water requirement and irrigation schedules (Ewaid et al, 2019;Surendran et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Exploring the possibilities of remote yield estimation using crop water requirements for area yield index insurance in a data-scarce dryland

Eze

Girma

Zenebe

et al. 2020

Journal of Arid Environments

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The need for accurate and meaningful agricultural data as the means of making vibrant policies and informed decisions, is an increasing concern for policymakers in developing countries such as Ethiopia, where such information is usually scarce. In Ethiopia, the impacts of climate change on crops yields is rarely available at the lowest administrative levels such as wards/villages, for the benefits of the grassroots' populace. Thus, this research sought to evaluate the use of crop water requirements in the estimation of crops' yield. FAO's CROPWAT 8.0 application was used to predetermine the possibility, preceding the use of CROWRAYEM. Both CROPWAT and CROWRAYEM had high coefficients of determination, when tested with a survey data of barley and sorghum farmers' yield for the 2015 to 2018 cropping season in semi-arid southern Tigray, northern Ethiopia. Furthermore, the infusion of the crop yield into a recently published area yield index insurance payout structure, increases the functionality of the proposed yield estimated model (CROWRAYEM).

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“…A number of empirical, radiation based, energy budget, water balance, mass transfer and measurement based methods were developed around the world to determine crop water requirement ranging from the simplest and oldest Blaney Criddle method to the most recent and accurate FAO Penman-Montheith method and spatial analyzer GIS based method (Doorenbos and Pruit, 1992;Blaney-Criddle, 1950;Makkink, 1957;Priestly and Taylor, 1972;Allen et al, 1998;Thornthwaite, 1948;Hargreaves and Samani, 1985). Some of the most commonly used methods were Blaney-Criddle model (Burman and Pochop, 1994), Makkink model (Maged, 2017), Priestly-Taylor model (McNaughton and Jarvis, 1983;Cristea et al, 2012;Maged, 2017), Penman-Monteith-FAO-56 model (Abirdew et al, 2018;Shakeel et al, 2017), Thornthwaite model (Ahmadi and Fooladmand, 2008), and Hargreaves-Samani model (Feng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effect of first watering month on water requirement of sugarcane using CROPWAT Model in Finchaa Valley, Ethiopia

Geleta¹

2019

Int. J. Water Res. Environ. Eng.

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This study investigates the optimum water requirements of Sugarcane planted in different months under rainfall and irrigation management, using CROPWAT model at Finchaa Valley in view of the importance of efficient water use as a key to grow crops and satisfy water demand. Analysis of soil physical properties was performed following the standard field and laboratories procedures and methods. The result of investigation indicated that total and monthly crop (irrigation) water requirement of sugarcane varied with the first watering month, ranging from 1554.6 mm (764.5 mm) to 1677.8 mm (1090.9 mm) with the average value of 1614.45 mm (903.8 mm). per growing season The highest and lowest amount of both rainfall and irrigation water demands were obtained for the first watering month (from irrigation or rainfall) of May and August respectively. The finding of the study also implies that, irrespective of the planting and harvesting months' irrigation water provision is not required in June, July and August months for sugarcane cultivated in Finchaa Valley under current climatic condition. Thus, applying fixed depth of irrigation water at a fixed frequency to different soil types throughout the growing season probably lower water use efficiency and reduce crop yield. It is recommended to use CROPWAT model for proper and effective irrigation scheduling for efficient use of available water and improved yields of sugarcane.

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Water Requirements and Irrigation Scheduling of Maize Crop using CROPWAT Model

Cited by 21 publications

References 6 publications

Water Requirements and Irrigation Scheduling Maize Crop by Empirical Equations Using Lysemters

Water Requirements and Irrigation Scheduling Maize Crop by Empirical Equations Using Lysemters

Exploring the possibilities of remote yield estimation using crop water requirements for area yield index insurance in a data-scarce dryland

Effect of first watering month on water requirement of sugarcane using CROPWAT Model in Finchaa Valley, Ethiopia

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