Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

Smith, Jason; Schmidtke, Leigh; Müller, Markus C.; Holzapfel, Bruno

doi:10.1111/ajgw.12072

Cited by 13 publications

(11 citation statements)

References 45 publications

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“…On the contrary, the higher percent of berry shatter was noticed with unsprayed control (S 1 ) as well as amino acids (S 4 ) when combined with I 3 at harvesting time and throughout all storage period in both seasons. The results of berries shattering are in agreement with that of Smith et al (2014) concluded that, calcium foliar spray on grapevines resulted in enhancing rachis, petiole measurements and reduced berries shattering at harvest. Also, Ramteke et al (2017) concluded that, calcium nutrient increased cell wall thickness and decreased the formation of the abscission layer which leads to reducing shattering.…”

Section: Berries Shattering %supporting

confidence: 90%

Effect of Irrigation Levels With Foliar Spray of Silicon, Calcium and Amino Acids on "Thompson Seedless" Grapevine. Ii. Enhancing Quality and Storability

2018

Journal of Productivity and Development

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This study was conducted during two growing seasons of 2016 and 2017 to evaluate the potential effects of different irrigation levels: 30, 50 and 70% depleted of available soil water (I 1 , I 2 and I 3, respectively) after fruit set as well as four foliar applications of Control, Silicon spray at 1.5 g/L, Calcium nitrate at 1 g/L and Amino acids at 2 ml/L (S1, S2, S3 and S4, respectively), which started at 15-20 cm of shoot length and the second one after fruit set, then these were continuous every two weeks till veraison stage on fruit quality and storability of "Thompson seedless" (Vitis vinifera L.) grapevines grown in clay soil under flow irrigation system in El-Mahalla region Gharbia Governorate. The obtained results revealed that, vines irrigated at I 1 and I 2 recorded a significant increase in berry physical quality parameters in terms of firmness, removal force, berry shatter and chemicals as SSC%, acidity and SSC/acid ratio. However, irrigation at I 3 recorded the lowest percent of cluster weight loss until the end of storage period. Calcium as well as silicon sprays, enhanced berry firmness, berry removal force and reduced berries shattering at picking date and during the cold storage period. Moreover, calcium application was more effective in increasing SSC/acid ratio, cluster quality index and marketable cluster percent and reducing physiological weight loss during storage. Foliar spray with amino acids recorded the highest significant values of SSC% and acidity and reduced the decayed berries% at the end of storage period. The combination between I 1 or I 2 irrigation levels and calcium spray treatments were more effective in enhancing berry firmness, berry removal force, SSC/acid ratio, rachis browning index and marketable cluster percent and reduced shattered berries, decayed berries and cluster weight loss till 60 days of cold storage.

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Section: Berries Shattering %supporting

confidence: 90%

Effect of Irrigation Levels With Foliar Spray of Silicon, Calcium and Amino Acids on "Thompson Seedless" Grapevine. Ii. Enhancing Quality and Storability

2018

Journal of Productivity and Development

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“…NIR spectroscopy is a potent technology widely used in several agricultural areas due to its non-destructive nature and multi-parametric capabilities [ 4 ]. Spectroscopic sensors have been proven to be fast for the real-time assessment of several grapevine-related traits, such as the grape composition [ 5 ], the grapevine petiole nutrient concentration assessment [ 6 ] or the identification of grape berry sunburn symptoms [ 7 ]. Therefore, the possibility of the use of NIR technology for grapevine phenotyping arises as an attractive and promising tool for precision viticulture, especially when taking into account the fact that this technique is able to characterize more than one parameter using the same spectral measurement.…”

Section: Introductionmentioning

confidence: 99%

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

Gutiérrez

Tardáguila

Fernández‐Novales

et al. 2016

Sensors

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Plant phenotyping is a very important topic in agriculture. In this context, data mining strategies may be applied to agricultural data retrieved with new non-invasive devices, with the aim of yielding useful, reliable and objective information. This work presents some applications of machine learning algorithms along with in-field acquired NIR spectral data for plant phenotyping in viticulture, specifically for grapevine variety discrimination and assessment of plant water status. Support vector machine (SVM), rotation forests and M5 trees models were built using NIR spectra acquired in the field directly on the adaxial side of grapevine leaves, with a non-invasive portable spectrophotometer working in the spectral range between 1600 and 2400 nm. The ν-SVM algorithm was used for the training of a model for varietal classification. The classifiers’ performance for the 10 varieties reached, for cross- and external validations, the 88.7% and 92.5% marks, respectively. For water stress assessment, the models developed using the absorbance spectra of six varieties yielded the same determination coefficient for both cross- and external validations (R2 = 0.84; RMSEs of 0.164 and 0.165 MPa, respectively). Furthermore, a variety-specific model trained only with samples of Tempranillo from two different vintages yielded R2 = 0.76 and RMSE of 0.16 MPa for cross-validation and R2 = 0.79, RMSE of 0.17 MPa for external validation. These results show the power of the combined use of data mining and non-invasive NIR sensing for in-field grapevine phenotyping and their usefulness for the wine industry and precision viticulture implementations.

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“…The quantification of carbohydrate and nitrogen reserves using infrared spectroscopy with non-direct methods was investigated (Schmidtke et al, 2012;Smith et al, 2014;De Bei et al, 2017;Jones et al, 2020). Non-direct methods still use destructive sampling where samples need to be removed in the field and transported to laboratories.…”

Section: Non-direct Quantification Using Infrared Spectroscopymentioning

confidence: 99%

Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs

et al. 2021

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The fourth agricultural revolution is leading us into a time of using data science as a tool to implement precision viticulture. Infrared spectroscopy provides the means for rapid and large-scale data collection to achieve this goal. The non-invasive applications of infrared spectroscopy in grapevines are still in its infancy, but recent studies have reported its feasibility. This review examines near infrared and mid infrared spectroscopy for the qualitative and quantitative investigation of intact grapevine organs. Qualitative applications, with the focus on using spectral data for categorization purposes, is discussed. The quantitative applications discussed in this review focuses on the methods associated with carbohydrates, nitrogen, and amino acids, using both invasive and non-invasive means of sample measurement. Few studies have investigated the use of infrared spectroscopy for the direct measurement of intact, fresh, and unfrozen grapevine organs such as berries or leaves, and these studies are examined in depth. The chemometric procedures associated with qualitative and quantitative infrared techniques are discussed, followed by the critical evaluation of the future prospects that could be expected in the field.

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Measurement of the concentration of nutrients in grapevine petioles by attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

Cited by 13 publications

References 45 publications

Effect of Irrigation Levels With Foliar Spray of Silicon, Calcium and Amino Acids on "Thompson Seedless" Grapevine. Ii. Enhancing Quality and Storability

Effect of Irrigation Levels With Foliar Spray of Silicon, Calcium and Amino Acids on "Thompson Seedless" Grapevine. Ii. Enhancing Quality and Storability

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs

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