Correcting Midseason Crop Coefficients for Climate

Guerra, Elisa Maritza Linares; Ventura, Francesc; Spano, Donatella; Snyder, Richard L.

doi:10.1061/(asce)ir.1943-4774.0000839

Cited by 9 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mostly, ET c are used as CWR values, and it is derived from equation 1. To have a reliable CWR estimate, it is necessary to adopt the right tools and/or approaches, for enhanced water productivity [15].…”

Section: Crop Water Requirement Estimationmentioning

confidence: 99%

Inter-monthly Variability of Pineapple (Ananas comosus, MD2) Plant Water Requirement in Ghana: Implications for Planting Period Adjustment Field Experience Program

Osei

Kranjac-Berisavljevic

Adongo

2023

SAR Journal

View full text Add to dashboard Cite

CROPWAT 8.0 model was used to estimate the water requirement of pineapple for the 2021/22 cropping period, considering all the months in the year. This was done to ascertain which months in the year have lower irrigation water requirements and where water savings can be made. For the months of December to August, irrigation requirement (mm) of 140, 145.1, 113.3, 110.8, 110.9, 145.9, 107.6 and 114, respectively was determined at the study site. However, sucker planting in September, October and November has shown requirements (mm) of 72.8, 61.3, 61.4 respectively, and adjusting the planting calendar to accommodate these months is recommended.

show abstract

Section: Crop Water Requirement Estimationmentioning

confidence: 99%

Inter-monthly Variability of Pineapple (Ananas comosus, MD2) Plant Water Requirement in Ghana: Implications for Planting Period Adjustment Field Experience Program

Osei

Kranjac-Berisavljevic

Adongo

2023

SAR Journal

View full text Add to dashboard Cite

show abstract

“…There can be difficulty transferring K c among regions, resulting in a need for climatic adjustments to K c (Allen et al 1998;Guerra et al 2015). However, if the ET 0 used in irrigation scheduling does not reflect the local site meteorology or unique microclimate (Anderson et al 2015), the computed crop ET can be erroneous, resulting in over-irrigation and waste of potentially expensive water and energy or underirrigation and crop water stress on a high-value crop or landscape with other expensive inputs.…”

Section: Integration Of Meteorological Products From Different Sourcementioning

confidence: 99%

Incorporating field wind data to improve crop evapotranspiration parameterization in heterogeneous regions

et al. 2017

View full text Add to dashboard Cite

to a potentially inaccurate ET 0 for irrigation scheduling. In this study, we investigated multiple ET 0 products from six meteorological stations, a satellite ET 0 product, and integration (merger) of two stations' data in Southern California, USA. We evaluated ET 0 against lysimetric ET observations from two lysimeter systems (weighing and volumetric) and two crops (wine grapes and Jerusalem artichoke) by calculating crop ET (ET c ) using crop coefficients for the lysimetric crops with the different ET 0 . ET c calculated with ET 0 products that incorporated field-specific wind speed had closer agreement with lysimetric ET, with RMSE reduced by 36 and 45% for grape and Jerusalem artichoke, respectively, with on-field anemometer data compared to wind data from the nearest station. The results indicate the potential importance of on-site meteorological sensors for ET 0 parameterization; particularly where microclimates are highly variable and/or irrigation water is expensive or scarce.

show abstract

“…Accumulated degree-days (ADD) are also used to estimate the correct K c for irrigation management. Thus, K c -as estimated by ADD-varies with ambient temperature, influencing crop growth and cycle (16). Therefore, alternative methods for K c estimation may be particularly useful for the dynamics of irrigated pastures.…”

Section: Introductionmentioning

confidence: 99%

Crop coefficient estimated by degree-days for ‘Marandu’ palisadegrass and mixed forage

et al. 2021

View full text Add to dashboard Cite

Considering profitability in pasture-based systems, investigating parameters affecting crop coefficients for irrigation management becomes important. In this experiment, we determined the crop coefficient of ‘Marandu’ palisadegrass based on accumulated degree-days and estimated plant water consumption under single (‘Marandu’ alisadegrass) and mixed (‘Marandu’ palisadegrass + black oats + Italian ryegrass) cropping regimes. The research was conducted at the Luiz de Queiroz College of Agriculture in Piracicaba, São Paulo, Brazil, between 2016 and 2017. Evapotranspiration was assessed using weighing lysimeters while crop evapotranspiration was calculated using mean weight variation. Reference evapotranspiration and degree-days were estimated. Data were obtained from an automated weather station. Equations and regression models relating crop coefficient with accumulated degree-days were generated for two seasons (spring/summer and autumn/winter) and evaluated for two year-cycles, from 2015 to 2018. The results showed better prediction accuracy for the single cropping system in spring/summer 2017–18. Highlights The model for determinating crop coefficient (Kc) by accumulated degree-days showed efficient for use in determination local. The use of the degree days for determination Kc is more vantage because only necessary to measure the air temperature (maximum and minimum). The equations for determining crop coefficient by accumulated degree days for the spring/summer season in Marandu palisade grass cultive show more precision that in mixture forage system.

show abstract

Correcting Midseason Crop Coefficients for Climate

Cited by 9 publications

References 10 publications

Inter-monthly Variability of Pineapple (Ananas comosus, MD2) Plant Water Requirement in Ghana: Implications for Planting Period Adjustment Field Experience Program

Inter-monthly Variability of Pineapple (Ananas comosus, MD2) Plant Water Requirement in Ghana: Implications for Planting Period Adjustment Field Experience Program

Incorporating field wind data to improve crop evapotranspiration parameterization in heterogeneous regions

Crop coefficient estimated by degree-days for ‘Marandu’ palisadegrass and mixed forage

Contact Info

Product

Resources

About