Dynamics of crop coefficients for citrus orchards of central India using water balance and eddy covariance flux partition techniques

Peddinti, Srinivasa Rao; Kambhammettu, Bvn P

doi:10.1016/j.agwat.2018.08.027

Cited by 51 publications

(31 citation statements)

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“…ese studies used the same method for selecting Kc. On the other hand, our study used Kc by adopting twelve recorded magnitudes at every month, which give higher accurate results than the previous studies because of two reasons: (1) many researchers did not use more than two values of Kc, such as [45][46][47][48] who used single Kc, whereas [49][50][51] adopted dual k c , and (2) this study choose a new method by going with recommendations of the ministry of irrigation. In addition, methodology of selecting Kc differs on others and could be due to the following reasons: (1) study period was different between this study and others and (2) the variance in climate conditions [51,52], irrigation methods [53], physical properties of plants [54,55], and also quantity of soil evapotranspiration [47].…”

Section: Crops Within Al-hussainiyah Irrigationmentioning

confidence: 91%

“…(Kc) magnitudes of the eight crops abovementioned in Table 3 are close to other Kc values, which are estimated in different crops. For example, average Kc magnitude for orange trees varied between 0.91 and 0.75 during different seasons at the whole year [50] and for rice between 0.1 and 1.2 [56]. By comparing Kc magnitudes (Table 3) with other studies, relative to the increasing in magnitudes of crop coefficients from initial months to the last months of a year, [36] referred that Kc of corn was increasing during the initial, midseason, and late-season stages, respectively; however, both sorghum and soybean were fluctuated up and down throughout their study period [37].…”

Section: Crops Within Al-hussainiyah Irrigationmentioning

confidence: 99%

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Using Eight Crops to Show the Correlation between Paucity Irrigation and Yield Reduction of Al-Hussainiyah Irrigation Project in Karbala, Iraq

Alshammari

Algretawee

Al-Aboodi

2020

Journal of Engineering

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Efficiency of water use in irrigation field always motivates researchers to find a way which could reduce irrigation quantity and obtain approximately the same crop yields. This study estimated the relationship between the paucity irrigation with the reduction in yield for eight crops (cotton, maize, alfalfa, small grain, summer vegetable, sesame, sunflower, and palms) by using various paucity irrigation stages from evapotranspiration of crops (5, 10, 15, 20, and 25%) as an indication of all crop outgrowth using medium soil. This study selected the project of Al-Hussainiyah irrigation that lies in Karbala province, which is close to Baghdad relative to the South. Also, the project has high importance because most dwellers have used the province for agriculture and drinking purposes. These are reasons of choosing it as a case study to implement paucity irrigation strategy on most crops (eight crops) within the project. The necessary records related to this study were obtained from specialized offices in Iraq, particularly water resources and agriculture ministries. Computer programs such as CROPWAT version 8.0, statistical program SPSS statistics version 20, and table curve 2D version 5.0 are considered the software for solving this model. This model was tested for its application and sensitivity by changing paucity levels for each crop. The comparison between the available and the estimated water demand showed that the paucity in irrigation water demand was very clear during the period from February to December for the average present state of agriculture. The correlation analysis gives a result that the paucity irrigation level with yield reduction manifested that the yield reduction rate of maize recorded higher than the other crops, while cotton recorded lower yield reduction rate than the other crops during all paucity stages.

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Section: Crops Within Al-hussainiyah Irrigationmentioning

confidence: 91%

Section: Crops Within Al-hussainiyah Irrigationmentioning

confidence: 99%

Using Eight Crops to Show the Correlation between Paucity Irrigation and Yield Reduction of Al-Hussainiyah Irrigation Project in Karbala, Iraq

Alshammari

Algretawee

Al-Aboodi

2020

Journal of Engineering

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“…Fandiño et al (2012Fandiño et al ( , 2015 for a vineyard and for hop for industry, Zhao et al (2013) for maize and wheat, Wu et al (2016) for a groundwater dependent grassland, and Paredes et al (2017a) relative to pea for industry. Calibration may also be performed by comparing observed eddy covariance ET with model computed ET c act for field crops (Zhang et al, 2013;Tian et al, 2016) and citrus orchards (Peddinti and Kambhammettu, 2019), or by comparing observed sap-flow transpiration data with simulated T c act (Paço et al, 2012(Paço et al, , 2019Qiu et al, 2015). Descriptions of the calibration and validation processes are provided in the cited applications.…”

Section: Brief Presentation Of the Modelmentioning

confidence: 99%

“…Moreover, due to climate differences between the growing and non-growing seasons, the K c and K cb curves may be substantially different. Nevertheless, there are various examples of derivation of K c and K cb for orchards (e.g., Peddinti and Kambhammettu, 2019).…”

Section: Deriving Crop Coefficientsmentioning

confidence: 99%

Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach

Pereira

Paredes

Jovanović

2020

Agricultural Water Management

136

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This study reviews soil water balance (SWB) model approaches to determine crop irrigation requirements and scheduling irrigation adopting the FAO56 method. The K c -ET o approach is discussed with consideration of baseline concepts namely standard vs. actual K c concepts, as well as single and dual K c approaches. Requirements for accurate SWB and appropriate parameterization and calibration are introduced. The one-step vs. the two-step computational approaches is discussed before the review of the FAO56 method to compute and partition crop evapotranspiration and related soil water balance. A brief review on transient state models is also included. Baseline information is concluded with a discussion on yields prediction and performance indicators related to water productivity. The study is continued with an overview on models development and use after publication of FAO24, essentially single K c models, followed by a review on models following FAO56, particularly adopting the dual K c approach. Features of dual K c modeling approaches are analyzed through a few applications of the SWB model SIMDualKc, mainly for derivation of basal and single K c , extending the basal K c approach to relay intercrop cultivation, assessing alternative planting dates, determining beneficial and nonbeneficial uses of water by an irrigated crop, and assessing the groundwater contribution to crop ET in the presence of a shallow water table. The review finally discusses the challenges placed to SWB modeling for real time irrigation scheduling, particularly the new modeling approaches for large scale multi-users application, use of cloud computing and adopting the internet of things (IoT), as well as an improved wireless association of modeling with soil and plant sensors. Further challenges refer to the use of remote sensing energy balance and vegetation indices to map K c , ET and crop water and irrigation requirements. Trends are expected to change research issues relative to SWB modeling, with traditional models mainly used for research while new, fastresponding and multi-users models based on cloud and IoT technologies will develop into applications to the farm practice. Likely, the K c -ET o will continue to be used, with ET o from gridded networks, re-analysis and other sources, and K c data available in real time from large databases and remote sensing.

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“…FAO-56 Penman-Monteith, a major procedure, was broadly approved in measuring crop evapotranspiration (ETc) with a single crop coefficient (Kc) [32]. Several researchers have published a wide range of seasonal crop coefficients in citrus trees estimated between 0.30 and 1.25 [33][34][35]. Besides this, annual citrus evapotranspiration is estimated to be 1143 mm and the citrus annual irrigation requirement is estimated to be between 381 and 432 mm depending on precipitation and distribution [36].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Irrigation Rate on the Water Relations of Young Citrus Trees in High-Density Planting

Hamido

Morgan

2021

Sustainability

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The availability and proper irrigation scheduling of water are some of the most significant limitations on citrus production in Florida. The proper volume of citrus water demand is vital in evaluating sustainable irrigation approaches. The current study aims to determine the amount of irrigation required to grow citrus trees at higher planting densities without detrimental impacts on trees’ water relation parameters. The study was conducted between November 2017 and September 2020 on young sweet orange (Citrus sinensis) trees budded on the ‘US-897’ (Cleopatra mandarin x Flying Dragon trifoliate orange) citrus rootstock transplanted in sandy soil at the Southwest Florida Research and Education Center (SWFREC) demonstration grove, near Immokalee, Florida. The experiment contained six planting densities, including 447, 598, and 745 trees per ha replicated four times, and 512, 717, and 897 trees per ha replicated six times. Each density treatment was irrigated at 62% or 100% during the first 15 months between 2017 and 2019 or one of the four irrigation rates (26.5, 40.5, 53, or 81%) based on the calculated crop water supplied (ETc) during the last 17 months of 2019–2020. Tree water relations, including soil moisture, stem water potential, and water supplied, were collected periodically. In addition, soil salinity was determined. During the first year (2018), a higher irrigation rate (100% ETc) represented higher soil water contents; however, the soil water content for the lower irrigation rate (62% ETc) did not represent biological stress. One emitter per tree regardless of planting density supported stem water potential (Ψstem) values between −0.80 and −0.79 MPa for lower and full irrigation rates, respectively. However, when treatments were adjusted from April 2019 through September 2020, the results substantially changed. The higher irrigation rate (81% ETc) represented higher soil water contents during the remainder of the study, the lower irrigation rate (26.5% ETc) represents biological stress as a result of stem water potential (Ψstem) values between −1.05 and −0.91 MPa for lower and higher irrigation rates, respectively. Besides this, increasing the irrigation rate from 26.5% to 81%ETc decreased the soil salinity by 33%. Although increasing the planting density from 717 to 897 trees per hectare reduced the water supplied on average by 37% when one irrigation emitter was used to irrigate two trees instead of one, applying an 81% ETc irrigation rate in citrus is more efficient and could be managed in commercial groves.

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Dynamics of crop coefficients for citrus orchards of central India using water balance and eddy covariance flux partition techniques

Cited by 51 publications

References 50 publications

Using Eight Crops to Show the Correlation between Paucity Irrigation and Yield Reduction of Al-Hussainiyah Irrigation Project in Karbala, Iraq

Using Eight Crops to Show the Correlation between Paucity Irrigation and Yield Reduction of Al-Hussainiyah Irrigation Project in Karbala, Iraq

Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach

The Effect of Irrigation Rate on the Water Relations of Young Citrus Trees in High-Density Planting

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