Crop and stress coefficients in rainfed and deficit irrigation vineyards using sap flow techniques

Ferreira, Maria Isabel; Silvestre, José; Conceição, Nuno; Malheiro, Aureliano C.

doi:10.1007/s00271-012-0352-2

Cited by 79 publications

(53 citation statements)

References 51 publications

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“…Ks decreased from one to 0.2 (irrigated vineyard in dry area), and in several rainfed vineyards, it remained above 0.5 by the end of summer [20]. [20,103]). …”

Section: Ks Functions Observed In Vineyardsmentioning

confidence: 99%

“…In general, the maximal measured values of Kcb (when Ks = 1, in late spring or early summer) varied from 0.75 to 0.35, depending on LAI (r 2 = 0.90) or GC (r 2 = 0.81), related as LAI = 0.054 GC + 0.378 (r 2 = 0.76). The main features of the selected vineyards and Ks functions are described in the following; for a more complete description of sites and methods, see Ferreira et al [20] and the references specific to each experimental study. [20,103]).…”

Section: Vineyardsmentioning

confidence: 99%

“…The main features of the selected vineyards and Ks functions are described in the following; for a more complete description of sites and methods, see Ferreira et al [20] and the references specific to each experimental study. [20,103]). …”

Section: Vineyardsmentioning

confidence: 99%

“…ET and Tr data from five experimental vineyards were described in Ferreira et al [20]; here, only four vineyards suffering considerable stress were used for the discussion of Ks functions. In general, the maximal measured values of Kcb (when Ks = 1, in late spring or early summer) varied from 0.75 to 0.35, depending on LAI (r 2 = 0.90) or GC (r 2 = 0.81), related as LAI = 0.054 GC + 0.378 (r 2 = 0.76).…”

Section: Vineyardsmentioning

confidence: 99%

“…The values for either the single or dual Kc method are often obtained from tables or algorithms that take into account canopy size, ground cover (GC), leaf area index (LAI) or light interception (e.g., [20,35,36]). However, this approach is not always well adapted for all crops (e.g., [37]).…”

Section: Need For Et Data and Simple Et Modelling Approaches In Irrigmentioning

confidence: 99%

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Stress Coefficients for Soil Water Balance Combined with Water Stress Indicators for Irrigation Scheduling of Woody Crops

Ferreira

2017

Horticulturae

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There are several causes for the failure of empirical models to estimate soil water depletion and to calculate irrigation depths, and the problem is particularly critical in tall, uneven, deficit irrigated (DI) crops in Mediterranean climates. Locally measured indicators that quantify water status are useful for addressing those causes and providing feed-back information for improving the adequacy of simple models. Because of their high aerodynamic resistance, the canopy conductance of woody crops is an important factor in determining evapotranspiration (ET), and accurate stress coefficient (Ks) values are needed to quantify the impact of stomatal closure on ET. A brief overview of basic general principles for irrigation scheduling is presented with emphasis on DI applications that require Ks modelling. The limitations of existing technology related to scheduling of woody crops are discussed, including the shortcomings of plant-based approaches. In relation to soil water deficit and/or predawn leaf water potential, several woody crop Ks functions are presented in a secondary analysis. Whenever the total and readily available water data were available, a simple Ks model was tested. The ultimate aim of this discussion is to illustrate the central concept: that a combination of simple ET models and water stress indicators is required for scheduling irrigation of deep-rooted woody crops.

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“…Ks decreased from one to 0.2 (irrigated vineyard in dry area), and in several rainfed vineyards, it remained above 0.5 by the end of summer [20]. [20,103]). …”

Section: Ks Functions Observed In Vineyardsmentioning

confidence: 99%

Section: Vineyardsmentioning

confidence: 99%

Section: Vineyardsmentioning

confidence: 99%

Section: Vineyardsmentioning

confidence: 99%

Section: Need For Et Data and Simple Et Modelling Approaches In Irrigmentioning

confidence: 99%

See 3 more Smart Citations

Stress Coefficients for Soil Water Balance Combined with Water Stress Indicators for Irrigation Scheduling of Woody Crops

Ferreira

2017

Horticulturae

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Spatial and diurnal below canopy evaporation in a desert vineyard: Measurements and modeling

Kool

Ben‐Gal

Agam

et al. 2014

Water Resources Research

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Evaporation from the soil surface (E) can be a significant source of water loss in arid areas. In sparsely vegetated systems, E is expected to be a function of soil, climate, irrigation regime, precipitation patterns, and plant canopy development and will therefore change dynamically at both daily and seasonal time scales. The objectives of this research were to quantify E in an isolated, drip-irrigated vineyard in an arid environment and to simulate below canopy E using the HYDRUS (2-D/3-D) model. Specific focus was on variations of E both temporally and spatially across the inter-row. Continuous above canopy measurements, made in a commercial vineyard, included evapotranspiration, solar radiation, air temperature and humidity, and wind speed and direction. Short-term intensive measurements below the canopy included actual and potential E and solar radiation along transects between adjacent vine-rows. Potential and actual E below the canopy were highly variable, both diurnally and with distance from the vine-row, as a result of shading and distinct wetted areas typical to drip irrigation. While the magnitude of actual E was mostly determined by soil water content, diurnal patterns depended strongly on position relative to the vine-row due to variable shading patterns. HYDRUS (2-D/3-D) successfully simulated the magnitude, diurnal patterns, and spatial distribution of E, including expected deviations as a result of variability in soil saturated hydraulic conductivity.

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Soil water stress co‐efficient for estimating actual evapotranspiration of maize in northeastern Brazil

Lyra

Souza

Silva

et al. 2016

Meteorological Applications

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Several of the methods used to estimate actual evapotranspiration (ET a ) consider the crop evapotranspiration (ET c ) to be affected by a soil water stress co-efficient (K s ) such that ET a = K s ET c . The aim of this study was to assess the ET a estimation in maize in Alagoas State (09 ∘ 38 ′ S and 36 ∘ 40 ′ W; 260 m msl) in northeastern Brazil using the method of the single crop co-efficient from the FAO-56 paper, combined with three different approaches to determine K s . The K s was expressed as either a linear (K s,lin ) or a logarithmic (K s,log ) function of the soil water depletion. Additionally, the method proposed in the FAO-56 (K s,FAO ) was used when the impact was linear, but it was switched on after only one offset. Meteorological and soil water measurements were conducted in a maize crop from July to October 2005. The estimates of ET a were compared with the ET a determined from soil water balance. The ET a estimated with K s,lin had the highest precision (r 2 = 0.67) and accuracy (d = 0.89 and root mean square error (RMSE) = 0.67 mm d −1 ). However, the ET a determined from

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Crop and stress coefficients in rainfed and deficit irrigation vineyards using sap flow techniques

Cited by 79 publications

References 51 publications

Stress Coefficients for Soil Water Balance Combined with Water Stress Indicators for Irrigation Scheduling of Woody Crops

Stress Coefficients for Soil Water Balance Combined with Water Stress Indicators for Irrigation Scheduling of Woody Crops

Spatial and diurnal below canopy evaporation in a desert vineyard: Measurements and modeling

Soil water stress co‐efficient for estimating actual evapotranspiration of maize in northeastern Brazil

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