GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Crop water stress index as a tool to estimate vine water status

Crop water stress index as a tool to estimate vine water status

Abstract

Context and purpose of the study – Crop Water Stress Index (CWSI) has long been a ratio to quantify relative plant water status in several crop and woody plants. Given its rather well relationship to either leaf or stem water potential and the feasibility to sample big vineyard areas as well as to collect quite a huge quantity of data with airborne cameras and image processing applications, it is being studied as a tool for irrigation monitoring in commercial vineyards. The objective of this paper was to know if CWSI estimated by measuring leaf temperature with an infrared hand held camera could be used to substitute the measure of stem water potential (SWP) without losing accuracy of plant water status measure.

Material and methods – Four vine water status were set up in 2017 on a Cabernet-Sauvignon vineyard grafted onto 110R at Morata de Tajuña (Madrid). Data herein involved correspond to 2018 growing season. Total Irrigation amount was 157, 241, 470 and 626 mm for treatments 1, 2, 3 and 4 respectively in 2018. Plants were 2-bud spur pruned along a unilateral cordon with 11-12 shoots per meter of raw. Training system was a Vertical Shoot Position (VSP). Experimental design was a randomize complete 4-block design with 3 rows per single plot, one central control row and two adjacent ones acting as buffer. Canopy development was measured by determining shaded soil at 10:30. Weather data were collected from a weather station at the same vineyard site. To calculate CWSI, leaf-treatment, wet leaf temperature and dry-leaf temperatures were measured with an infrared camera model FLIR E60. All data were collected around noon at the same time as stem water potential (Ψs), on 5 cloudless days along 2018 – June 19th, July 24th, August 7th, September 4th and 25th-. Four leaves per treatment were sampled each time of measurement. It was established a linear regression between CWSI and stem water potential. One treatment per measuring date (4 pair data) was kept out of the lineal regression and saved them to validate the model; All statistics analysis was performed with the Statistix10 package.

Results – Differences in CWSI arose from the first date of measure, June 19th. Differences in CWSI arise even before than in SWP; Highest SWP was -5.32 and the lowest was -13.80bar. At the end of the season, when overwhelming ambient conditions stayed long time CWSI did not show any difference between treatments despite SWP widely ranged between -6.85 and -10.53 bar between treatments. We found a significant linear relationship between CWSI and SWP (Ψs = 23.58·CWSI -2.87 R2= 0.63***). In an attempt to dig into the variables involved in plant water status we looked into a multiple regression in which SWP was dependent either on CWSI, vapor pressure deficit (VPD), canopy development (SS) and soil water content (Θs). However, none of these variables turned out to be significant but CWSI (R2=0.63**). Shaded soil was significant for P = 0.08. So far we can conclude that CWSI works out when stem water potential is below 14.0 bar.

DOI:

Publication date: September 18, 2023

Issue: GiESCO 2019

Type: Poster

Authors

Carlos ESPARTOSA1, Julián RAMOS, Elena GONZÁLEZ-SEARA, Concepción GONZÁLEZ-GARCÍA, Adolfo MOYA, Antonio HUESO, Pilar BAEZA*

1 Centro de Estudios e Investigación para la Gestión de Riesgos Ambientales. ETSI-Agronómica, Alimentaria y Biosistemas. 28040 Madrid, España

Contact the author

Keywords

grapevine, Stem Water Potential, leaf temperature, Vapor Pressure Deficit, canopy development, soil water content, Crop Water Stress Index, infrared camera data

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Evolution of the amino acids content through grape ripening: Effect of foliar application of methyl jasmonate with or without urea

The parameters that determine the grape quality, and therefore the optimal harvest time, suffer variations during berry ripening, related to climate change, with the widely known problem of the gap between technological and phenolic maturities. However, there are few studies about its incidence on grape nitrogen composition. For this reason, the use of an elicitor, methyl jasmonate (MeJ), alone or with urea, is proposed as a tool to reduce climatic decoupling, allowing to establish the harvest time in order to achieve the optimum grape quality. The aim was to study the effect of MeJ and MeJ+Urea foliar applications on the evolution of Tempranillo amino acids content throughout the grape maturation. Three treatments were foliarly applied, at veraison and 7 days later: control (water), MeJ (10 mM) and MeJ+Urea (10 mM+6 kg N/ha). Grape samples were taken at five stages of maturation: day before the first and second applications, 15 days after the second application (pre-harvest), harvest day, and 15 days after harvest (post-harvest). The amino acids analysis of the samples was carried out by HPLC. Results showed that the evolution of amino acids was similar regardless of the treatment; however, foliar applications influenced the nitrogen compounds content, i.e., there was no qualitative effect but quantitative one. Most of the amino acids reached their maximum concentration in pre-harvest, being higher in grapes from the treatments than in the control. In general, no differences in grape amino acids content were observed between MeJ and MeJ+Urea treatments. Foliar applications with MeJ and MeJ+Urea enhanced the grape amino acids content, without affecting their profile, helping to optimize their quality and allowing to establish a more complete grape ripening standard. Therefore, MeJ and MeJ+Urea foliar applications can be a simple agronomic practice, which has shown promising results in order to enhance the grape quality.

Climate, Viticulture, and Wine … my how things have changed!

The planet is warmer than at any time in our recorded past and increasing greenhouse emissions and persistence in the climate system means that continued warming is highly likely. Climate change has already altered the basic framework of growing grapes for wine production worldwide and will likely continue to do so for years to come. The wine sector can continue to play an important role in leading the agricultural sector in addressing climate change. From developing on…

Long-term drought resilience of traditional red grapevine varieties from a semi-arid region

In recent decades, the scarcity of water resources in agriculture in certain areas has been aggravated by climate change, which has caused an increase in temperatures, changes in rainfall patterns, as well as an increase in the frequency of extreme phenomena such as droughts and heat waves. Although the vine is considered a drought-tolerant specie, it has to satisfy important water requirements to complete its cycle, which coincides with the hottest and driest months. Achieving sustainable viticulture in this scenario requires high levels of efficiency in the use of water, a scarce resource whose use is expected to be severely restricted in the near future. In this regard, the use of drought-tolerant varieties that are able to maintain grape yield and quality could be an effective strategy to face this change. During three consecutive seasons (2018-2020) the behavior in rainfed regime of 13 traditional red grapevine varieties of the Spain central region was studied. These varieties were cultivated in a collection at Centro de Investigación de la Vid y el Vino de Castilla-La Mancha (IVICAM-IRIAF) located in Tomelloso (Castilla-La Mancha, Spain). Yield components (yield, mean bunch and berry weight, pruning weight), physicochemical parameters of the musts (brix degree, total acidity, pH) and some physiological parameters related with water stress during ripening period (δ13C, δ18O) were analysed. The application of different statistical techniques to the results showed the existence of significant differences between varieties in their response to stressful conditions. A few varieties highlighted for their high ability to adapt to drought, being able to maintain high yields due to their efficiency in the use of water. In addition, it was possible quantify to what extent climate can be a determinant in the δ18O of musts under severe water stress conditions.

VINIoT: Precision viticulture service for SMEs based on IoT sensors network

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

Inhibition of Oenococcus oeni during alcoholic fermentation by a selected Lactiplantibacillus plantarum strain

The use of selected cultures of the species Lactiplantibacillus plantarum in Oenology has grown in prominence in recent years. While initial applications of this species centred very much around malolactic fermentation (MLF), there is strong evidence to show that certain strains can be harnessed for their bio-protective effects. Unwanted spontaneous MLF during alcoholic fermentation (AF), driven by rogue Oenococcus oeni, is a winemaking deviation that is very difficult to manage when it occurs. This work set out to determine the efficacy of one particular strain of Lactiplantibacillus plantarum(Viniflora® NoVA™ Protect), against this problem in Cabernet Sauvignon must. The work was carried out at commercial scale and in a winery environment and compared the bio-protective culture with the more traditional approach of reducing must pH by the addition of tartaric acid. The combination of both was also investigated. The concentration of both Oenococcus oeni and Lactiplantibacillus plantarum was determined using qPCR. The adventitious Oenococcus oeni showed the most growth during AF in the control wine, whereas in the wines treated with Lactiplantibacillus plantarum a bacteriostatic effect against this species was observed. This effect was comparable to the wines treated with tartaric acid. This has particular commercial relevance for controlling the flora in musts with high pH, or when the addition of tartaric acid is either not permitted or is prohibitive for other reasons.