Using Thermal Units for Crop Coefficient Estimation and Irrigation Scheduling Improves Yield and Water Productivity of Corn (
            <i>Zea mays</i>
            L.)

Bautista-Capetillo, Carlos; Zavala, Manuel; Martı́nez-Cob, Antonio

doi:10.1061/(asce)ir.1943-4774.0000529

Cited by 12 publications

(11 citation statements)

References 23 publications

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“…There are different applications of the cumulative growing degree-days approach (∑ ) or thermal units. For example, we can forecast the growing season length and how it may be influenced by climate change [5,6], plan for the growing season [7], forecast potential production of the crop [6], compute subroutines in mathematical models [8], and estimate crop water consumption and irrigation management [1,7,[9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Growth, Development, and Water Consumption of Irrigated Bean Crop Related to Growing Degree-Days on Different Soil Tillage Systems in Southeast Brazil

Medeiros

Daniel

Fengler

2016

International Journal of Agronomy

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Degree-days may be an alternative for predicting the influence of temperature on physiological aspects of plants in a changing climate. The objective of this research was to evaluate the relation between cumulative degree-days index (∑G) and the development, growth, and water consumption of irrigated bean under different soil tillage systems (STS). We developed an experiment in Southeast Brazil in plots managed with the following STS: chisel ploughing (CP), disk ploughing (DP), and revolving hoe (RH). The treatments did not influence the crop phenology when correlated to∑G. The parameters of canopy ground cover, leaf area index, total dry matter, and the plant height presented a highly significant relationship with∑G(P<0.05). We also compared the results of field water balance with a simulation developed between the crop coefficient and∑Gand found a strong relationship (R2= 0.93∗∗; ∗∗: high statistical significance (P<0.01)) between these measurements and the model. The total water consumption measured at the irrigated bean crop reached 383 mm, 386 mm, and 375 mm while that simulated from dual crop coefficient approach based on∑Greached 378 mm, 373 mm, and 349 mm to CP, DP, and RH, respectively, representing a mean difference of 4.2%.

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Section: Introductionmentioning

confidence: 99%

Growth, Development, and Water Consumption of Irrigated Bean Crop Related to Growing Degree-Days on Different Soil Tillage Systems in Southeast Brazil

Medeiros

Daniel

Fengler

2016

International Journal of Agronomy

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“…Furthermore, LST values generated using Landsat's Thematic Mapper (TM) thermal band [40,55] were correlated with ET r F values, considering that ET r F values are well correlated with thermal units [56][57][58], while Simplified Surface Energy Balance (SSEB) assumes that actual ET varies linearly with LST [59]. LST is a governing parameter in water and energy exchange between land and atmosphere and is also an essential input to most of the irrigation water management activities [60].…”

Section: Methodsmentioning

confidence: 99%

Mapping Evapotranspiration Coefficients in a Temperate Maritime Climate Using the METRIC Model and Landsat TM

Spiliotopoulos

Holden

Λουκάς

2017

Water

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Abstract:The applicability of a land surface temperature (LST)-evapotranspiration (ET) regression model to estimate ET fraction (ETrF) was tested in the temperate maritime climate of Central Ireland. In this study, the Mapping ET at high Resolution and with Internalized Calibration (METRIC) model was applied to calculate evapotranspiration from a mixed land cover area in Central Ireland. The ETrF values estimated on a pixel-by-pixel basis using two different surface roughness maps derived from two different estimates of Leaf Area Index (LAI) showed no significant differences. The METRIC based ETrF values from a Landsat Enhanced Thematic Mapper Plus (ETM+) image from 12 July 2013 were in similar range with those obtained from a regression model using land surface temperature (LST)-ET relationship derived from a Landsat 5 Thematic Mapper (TM) image of 17 July 2006. Results indicated that ETrF values could be estimated by using LST values from Landsat TM, even when stress conditions were prevailing in the region.

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“…PEF=0.00 if Ps≥0.2ET0_s (6) where Ps (mm) and ET0_s (mm) are precipitation and reference evapotranspiration, respectively, for the considered period [28]. In irrigated systems, at least two efficiency parameters must be considered: conveyance efficiency (Ec) and application efficiency (Ea).…”

Section: Pef=075ps If Ps>02et0_smentioning

confidence: 99%

Green and Blue Water Footprint Accounting for Dry Beans (Phaseolus vulgaris) in Primary Region of Mexico

Lopez

Bautista-Capetillo

2015

Sustainability

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Abstract:Water shortages are a key obstacle to the sustainable supply of food to the world population, since agriculture has the largest consumptive water use. The Water Footprint (WF) has been developed as a useful tool to assess the contribution of goods and activities to water scarcity. This concept is being used around the world to improve agricultural water management. This paper analyzes climate data in order to estimate green and blue WFs for dry beans in the dry beans primary region of Mexico under both irrigation and dryland conditions. The quantification of green WF is very important in this area, since 95% of the crop is obtained in dryland conditions. Standard methodology was used to assess the crop WF. Five different sowing dates were

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Using Thermal Units for Crop Coefficient Estimation and Irrigation Scheduling Improves Yield and Water Productivity of Corn ( Zea mays L.)

Abstract: Using thermal units for crop coefficient estimation and irrigation scheduling improves yield and water productivity of corn (Zea mays L.

Cited by 12 publications

References 23 publications

Growth, Development, and Water Consumption of Irrigated Bean Crop Related to Growing Degree-Days on Different Soil Tillage Systems in Southeast Brazil

Growth, Development, and Water Consumption of Irrigated Bean Crop Related to Growing Degree-Days on Different Soil Tillage Systems in Southeast Brazil

Mapping Evapotranspiration Coefficients in a Temperate Maritime Climate Using the METRIC Model and Landsat TM

Green and Blue Water Footprint Accounting for Dry Beans (Phaseolus vulgaris) in Primary Region of Mexico

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