Vegetative and reproductive response of ‘Prime Giant’ sweet cherry trees to regulated deficit irrigation

Blanco, Víctor María Fernández; Torres-Sánchez, Roque; Blaya-Ros, Pedro José; Pérez‐Pastor, Alejandro; Miguel, Rafael Domingo

doi:10.1016/j.scienta.2019.02.016

Cited by 47 publications

(29 citation statements)

References 38 publications

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“…Thus, RDI resulted in a lower leaf area than was seen in CTL trees ( Figure 4A). RDI strategies have been reported as an effective method to control excessive vegetative growth and vigor in sweet cherry trees [32][33][34]. However, in sweet cherry, fruit size is strongly linked to LA:F ratio, so an excessive reduction in the total leaf area could result in the production of small fruit, particularly in high cropping seasons when the LA:F ratio is low and the competition for photoassimilates among fruits would generate a source-sink limitation [35,36].…”

Section: Discussionmentioning

confidence: 99%

Influence of Regulated Deficit Irrigation and Environmental Conditions on Reproductive Response of Sweet Cherry Trees

Blanco

Blaya-Ros

Torres-Sánchez

et al. 2020

Plants

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The reproductive response of fifteen year old sweet cherry trees (Prunus avium L.) combination ‘Prime Giant’/SL64 under Mediterranean climate to deficit irrigation was studied in a commercial orchard in south-eastern Spain for four seasons. Three irrigation treatments were assayed: (i) control treatment, irrigated without restrictions at 110% of seasonal crop evapotranspiration; (ii) sustained deficit irrigation treatment, irrigated at 85% ETc during pre-harvest and post-harvest periods, and at 100% ETc during floral differentiation, and (iii) regulated deficit irrigation treatment, irrigated at 100% ETc during pre-harvest and floral differentiation and at 55% ETc during post-harvest. The duration and intensity of the phenological phases of sweet cherry trees, including cold accumulation, flowering, fruit set or fruit and vegetative growth, were assessed to ascertain whether the different irrigation strategies imposed affect the trees’ reproductive response (fruit yield, fruit size, leaf area, fruit physiological disturbances, and starch and soluble carbohydrates stock) in the same season or have a negative effect in the next season. Deficit irrigation did not advance, enhance or penalize flowering, fruit set or fruit growth. Neither did it diminish carbohydrate concentration in roots or cause an increase in the number of double fruits, which was more linked to high temperatures after harvest. However, deficit irrigation decreased vegetative growth and consequently the leaf area/fruit ratio, which, when it fell below 180 cm2 fruit−1, affected cherry size.

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Section: Discussionmentioning

confidence: 99%

Influence of Regulated Deficit Irrigation and Environmental Conditions on Reproductive Response of Sweet Cherry Trees

Blanco

Blaya-Ros

Torres-Sánchez

et al. 2020

Plants

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“…In the mature trees ( Figure 2b), deficit irrigation trees resulted in Ψstem values that remained above −1.5 MPa, which could be considered a mild-severe water stress that would not compromise the tree's yield the following year [5,40]. Water stress in mature trees resulted in different rates depending on the evaporative demand.…”

Section: Midday Stem Water Potentialmentioning

confidence: 99%

“…The negative ∆T values obtained by CTL trees (young and mature) were related to Ψstem values below −0.8 MPa, which corresponded to trees under non-limiting soil water conditions. In sweet cherry trees under post-harvest deficit irrigation, −1.5 MPa is generally considered a threshold value for irrigation management and higher values have been reported not to negatively affect the yield in the following year and reduce excessive vegetative growth [5]. In this sense, 1.6 • C has been suggested as the ∆T corresponding value to −1.5 MPa.…”

Section: Canopy Temperaturementioning

confidence: 99%

Feasibility of Low-Cost Thermal Imaging for Monitoring Water Stress in Young and Mature Sweet Cherry Trees

et al. 2020

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Infrared thermography has been introduced as an affordable tool for plant water status monitoring, especially in regions where water availability is the main limiting factor in agricultural production. This paper outlines the potential applications of low-cost thermal imaging devices to evaluate the water status of young and mature sweet cherry trees (Prunus avium L.) submitted to water stress. Two treatments per plot were assayed: (i) a control treatment irrigated to ensure non-limiting soil water conditions; and (ii) a water-stress treatment. The seasonal evolution of the temperature of the canopy (Tc) and the difference between Tc and air temperature (ΔT) were compared and three thermal indices were calculated: crop water stress index (CWSI), degrees above control treatment (DAC) and degrees above non-water-stressed baseline (DANS). Midday stem water potential (Ψstem) was used as the reference indicator of water stress and linear relationships of Tc, ΔT, CWSI, DAC and DANS with Ψstem were discussed in order to assess their sensitivity to quantify water stress. CWSI and DANS exhibited strong relationships with Ψstem and two regression lines to young and mature trees were found. The promising results obtained highlight that using low-cost infrared thermal devices can be used to determine the plant water status in sweet cherry trees.

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“…Sweet cherry cultivation and production have increased worldwide by almost 25 % in the last 16 years, reaching 2.32 million tons, mainly in areas with a Mediterranean climate where water tends to be a scarce resource and therefore needs careful management to ensure sustainability [14]. In this respect, sweet cherry trees have been successfully grown using regulated deficit irrigation (RDI) strategies, which limit vegetative vigor and improve water use efficiency without penalizing fruit yield [15,16]. Sweet cherries are fast growing fruits.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the preharvest period is described as a critical stage in which water stress might affect fruit development and penalize yield. Consequently, several studies have referenced postharvest (after flower differentiation period) as the best phenological stage to apply regulated deficit irrigation [15][16][17]. In order to assess the water status of sweet cherry trees, it was considered interesting to compare vegetation indices derived from multispectral images with conventional water stress indicators, such as the midday stem water potential, whose measurements are highly time-consuming and destructive but which is considered the most accurate plant water status indicator for sweet cherry trees [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees

et al. 2020

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The present work aims to assess the usefulness of five vegetation indices (VI) derived from multispectral UAS imagery to capture the effects of deficit irrigation on the canopy structure of sweet cherry trees (Prunus avium L.) in southeastern Spain. Three irrigation treatments were assayed, a control treatment and two regulated deficit irrigation treatments. Four airborne flights were carried out during two consecutive seasons; to compare the results of the remote sensing VI, the conventional and continuous water status indicators commonly used to manage sweet cherry tree irrigation were measured, including midday stem water potential (Ψs) and maximum daily shrinkage (MDS). Simple regression between individual VIs and Ψs or MDS found stronger relationships in postharvest than in preharvest. Thus, the normalized difference vegetation index (NDVI), resulted in the strongest relationship with Ψs (r2 = 0.67) and MDS (r2 = 0.45), followed by the normalized difference red edge (NDRE). The sensitivity analysis identified the optimal soil adjusted vegetation index (OSAVI) as the VI with the highest coefficient of variation in postharvest and the difference vegetation index (DVI) in preharvest. A new index is proposed, the transformed red range vegetation index (TRRVI), which was the only VI able to statistically identify a slight water deficit applied in preharvest. The combination of the VIs studied was used in two machine learning models, decision tree and artificial neural networks, to estimate the extra labor needed for harvesting and the sweet cherry yield.

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Vegetative and reproductive response of ‘Prime Giant’ sweet cherry trees to regulated deficit irrigation

Cited by 47 publications

References 38 publications

Influence of Regulated Deficit Irrigation and Environmental Conditions on Reproductive Response of Sweet Cherry Trees

Influence of Regulated Deficit Irrigation and Environmental Conditions on Reproductive Response of Sweet Cherry Trees

Feasibility of Low-Cost Thermal Imaging for Monitoring Water Stress in Young and Mature Sweet Cherry Trees

Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees

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