Use of Visible-Near Infrared Diffuse Reflectance Spectroscopy to Discriminate between Kiwifruit with Properties Altered by Preharvest Treatments

1997 ◽  
Vol 5 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Alistair D. Mowat ◽  
Philip R. Poole
Keyword(s):  
Dry Matter ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Matter Content ◽  
Soluble Solids ◽  
Skin Colour ◽  
Canonical Variate ◽  
Dry Matter Content ◽  
Treatment Groups

Visible-near infrared (NIR) spectra of kiwifruit berries were processed by discriminant analysis techniques to differentiate berries treated during on-vine development. Treatments applied were leaf removal or shading berries with aluminium foil through crop development, or dipping the berries in ethephon two weeks prior to harvest. In order to accentuate the treatment effects, the canes used for individual treatments were cinctured to cut the phloem layer near the central cordon. Diffuse reflectance visible-NIR spectra were measured for all berries at harvest and after storing at 0°C for 16 weeks, and in sound ripened berries, for which the mass, skin colour, soluble solids and dry matter content were also determined. Principal components (PCs) were calculated for the 550–990 nm region of the visible-NIR absorption spectra for 500 berries randomly selected from all treatments. Canonical variate analyses of the PC were used to distinguish the berries from the original treatment groups. At harvest and after storage, discriminant algorithms, based on training spectra, were applied to validation spectra sets and correctly classified 99% and 87% of the berries, respectively, by their on-vine treatment. In the sound ripened berries, discrimination based on the visible-NIR data was superior to that achieved using combinations of mass, skin colour, dry matter and soluble solids.

scholarly journals Robustness of Tomato Quality Evaluation Using a Portable Vis-SWNIRS for Dry Matter and Colour

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
U. K. Acharya ◽  
P. P. Subedi ◽  
K. B. Walsh
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Short Wave ◽  
Matter Content ◽  
Soluble Solids ◽  
Practical Implementation ◽  
Calibration Model ◽  
Dry Matter Content ◽  
Least Squares Regression ◽  
Growing Conditions

The utility of a handheld visible-short wave near infrared spectrophotometer utilising an interactance optical geometry was assessed in context of the noninvasive determination of intact tomato dry matter content, as an index of final ripe soluble solids content, and colouration, as an index of maturation to guide a decision to harvest. Partial least squares regression model robustness was demonstrated through the use of populations of different harvest dates or growing conditions for calibration and prediction. Dry matter predictions of independent populations of fruit achievedR2ranging from 0.86 to 0.92 and bias from −0.14 to 0.03%. For a CIEa⁎colour model, predictionR2ranged from 0.85 to 0.96 and bias from −1.18 to −0.08. Updating the calibration model with new samples to extend range in the attribute of interest and in sample matrix is key to better prediction performance. The handheld spectrometry system is recommended for practical implementation in tomato cultivation.

Hybrid performance and heterosis in strawberry (Fragaria × ananassaDuchesne), regarding acidity, soluble solids and dry matter content in fruits

2016 ◽  
Vol 135 (2) ◽  
pp. 232-238 ◽  
Author(s):  
Elżbieta Kaczmarska ◽  
Jacek Gawroński ◽  
Ewa Jabłońska-Ryś ◽  
Marta Zalewska-Korona ◽  
Wojciech Radzki ◽  
...  
Keyword(s):  
Dry Matter ◽  
Matter Content ◽  
Soluble Solids ◽  
Dry Matter Content ◽  
Hybrid Performance

scholarly journals An application of canonical variate analysis in profile comparison of dry matter content of white clover between ozone-sensitive and ozone-resistant clones exposed in ambient air conditions

2015 ◽  
Vol 52 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Dariusz Kayzer ◽  
Anna Budka ◽  
Klaudia Borowiak ◽  
Janina Zbierska ◽  
Marta Lisiak
Keyword(s):  
White Clover ◽  
Dry Matter ◽  
Profile Analysis ◽  
Ambient Air ◽  
Matter Content ◽  
Canonical Variate Analysis ◽  
Canonical Variate ◽  
Dry Matter Content ◽  
The World ◽  
Variate Analysis

SummaryTropospheric ozone affects plant growth and the yield of main pasture species all around the world. Experiments are usually performed in fully controlled conditions; the number of investigations in ambient air conditions is still limited. Moreover, most investigations of the effect of ozone on white clover biomass production consider one series after the other, including a period without leaves. Hence, based on the recommendations, additional series are proposed and studied here. The responses of sensitive and resistant white clover clones are presented and compared using multivariate analysis of variance and profile analysis. The canonical variate analysis used here makes it possible to present the profile comparison of dry matter content of white clover graphically in Euclidean space. The investigations revealed a difference in response between clones and the necessity of using the additional series.

Application of near Infrared Transmission Spectroscopy for the Determination of Some Quality Parameters of Apples

1994 ◽  
Vol 2 (4) ◽  
pp. 213-221 ◽  
Author(s):  
T. Lovász ◽  
P. Merész ◽  
A. Salgó
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content ◽  
Quality Factors ◽  
Infrared Transmission ◽  
Transmission Method ◽  
Titratable Acid ◽  
Transmission Spectroscopy ◽  
Relative Standard

The acceptability of near infrared (NIR) transmission spectroscopy for the prediction of six quality factors of apples (firmness, refractive index, pH, titratable acid, dry matter and alcohol insoluble solids content) was investigated. The effects of storage conditions, cultivars and season on the accuracy of the NIR transmission method were also studied during the experiment. The accuracy of the calibration of all investigated parameters decreased during storage. The alteration of the characteristics of the spectra is possibly due to changes in the chemical composition and structure of apples between September and April. The calibration method was improved by developing a separate calibration for each cultivar per year. The calibrations of the different parameters are season-dependent except for the dry matter content. Using outlier diagnostics, the prediction accuracy can be generally improved by about 10%. The coefficient of variation for each parameter is compatible with the relative standard deviation for the reference methods except for the titratable acid content, showing the applicability of NIR transmission techniques. A relationship seems to exist between the maturity and the NIR transmission spectra of the apple.

scholarly journals Near-infrared Spectroscopy for Rapid Estimation of Dry Matter Content in Whole Unpeeled Potato Tubers

2012 ◽  
Vol 1 (4) ◽  
pp. 55 ◽  
Author(s):  
Trygve Helgerud ◽  
Vegard H. Segtnan ◽  
Jens P. Wold ◽  
Simon Ballance ◽  
Svein H. Knutsen ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Reference Method ◽  
Quality Parameters ◽  
Matter Content ◽  
Dry Matter Content ◽  
Potato Tubers ◽  
External Reference ◽  
Explained Variance ◽  
Processed Potatoes

<p>The dry matter is one of the main quality parameters of raw and processed potatoes. In the present study, the potential of utilizing high throughput commercially available NIR interactance systems for dry matter determination in whole unpeeled potato tubers is investigated. The performance of a 2D NIR interactance instrument was compared with that of a 1D NIR interactance instrument and a traditional underwater weight apparatus. A total of 114 tubers were assessed individually with both of the NIR instruments (760-1040 nm), the underwater weight and an external reference method (freeze drying). The 1D interactance instrument obtained better prediction results than what the 2D instrument could achieve (R<sup>2</sup>=0.95, RMSECV=0.91, and R<sup>2</sup>=0.83, RMSECV=1.65, respectively). The underwater weight obtained the highest explained variance (R<sup>2</sup>=0.97), but the estimation was biased by approximately 1.5% (by weight). The poorer prediction performance of the 2D NIR interactance system can be partly explained by the lower penetration depths of the light compared to the 1D NIR interactance systems.</p>

scholarly journals Quality characterization, phenolic and carotenoid content of new orange, cream and yellow-fleshed sweetpotato genotypes

2021 ◽  
Vol 39 (3) ◽  
pp. 299-304
Author(s):  
Lucimeire Pilon ◽  
Jaqueline S Guedes ◽  
Bruna S Bitencourt ◽  
Raphael Augusto de C Melo ◽  
Larissa PC Vendrame ◽  
...  
Keyword(s):  
Phenolic Compounds ◽  
Ipomoea Batatas ◽  
Dry Matter ◽  
Matter Content ◽  
Soluble Solids ◽  
Carotenoid Content ◽  
Total Phenolic ◽  
Dry Matter Content ◽  
Total Carotenoids ◽  
Β Carotene

ABSTRACT Sweetpotato (Ipomoea batatas) is a root crop grown in many countries. This tuberous root is a source of energy, nutrients, and phytochemicals. In this study, bioactive compounds and physical and physicochemical qualities of sweetpotato genotypes were evaluated. Eight new genotypes of sweetpotato produced by Embrapa Hortaliças (orange-fleshed: MD09026-OF and MD09024-OF; cream-fleshed: MD09011-CF, MD09004-CF, MD10039-CF, and MD10004-CF; yellow-fleshed: MD09017-YF and MD12002-YF) and two cultivars used as controls (Beauregard and Brazlândia Roxa) were evaluated for color, soluble solids, dry matter, phenolic compounds, total carotenoids and β-carotene. Hue angles differed even between those sweetpotatoes with the same flesh color. The orange-fleshed genotypes MD09024-OF, MD09026-OF, and Beauregard, had the lowest L*, showing to be darker than the others. These sweetpotatoes also had the brightest flesh colors with higher C*. The orange-fleshed genotypes MD09026-OF and MD09024-OF were sweeter (10.55oBrix and 9.23oBrix) than Beauregard (5.12oBrix). Brazlândia Roxa had the highest dry matter content (38.05%), followed by the genotypes MD10004-CF, MD09017-YF, MD09026-OF MD10039-CF, and MD09011-CF, which showed similarity, ranging from 32.33% to 29.12%. The highest contents of total carotenoids were found for the orange-fleshed genotypes MD09026-OF (80.06 mg g-1) and MD09024-OF (70.56 mg g-1) and Beauregard (73.12 mg g-1). These same genotypes showed the highest total phenolic compounds (0.815 mg g-1 and 0.686 mg g-1, respectively). MD09026-OF showed the highest content of β-carotene (46.47 mg g-1). MD09026-OF was the most prominent genotype among those evaluated, as it showed the highest total carotenoid, β-carotene, phenolic compounds, and soluble solids content, in addition to a high dry matter content.

Effects of poultry manure and mineral fertilizers on the quality of crops

1992 ◽  
Vol 118 (2) ◽  
pp. 215-221 ◽  
Author(s):  
F. Pimpini ◽  
L. Giardini ◽  
M. Borin ◽  
G. Gianquinto
Keyword(s):  
Dry Matter ◽  
Poultry Manure ◽  
Mineral Fertilizer ◽  
Matter Content ◽  
Soluble Solids ◽  
Mineral Fertilizers ◽  
Dry Matter Content ◽  
Processing Tomato ◽  
Spinach Leaves

SUMMARYPoultry manure and mineral fertilizers at two rates of application (medium and high) and in different combinations, together with a non-fertilized control, were tested at the Experimental Station of the Agricultural University of Padova, Italy (45° 21′ N, 11° 58′ E) in 1985–89.Compared to the control, all the fertilization treatments increased the incidence of larger-sized bulbs of onion and tubers of potato, improved the fruit colour of processing tomato and the raw protein content of spinach, but reduced the acidity and acids: soluble solids ratio of tomato and the dry matter content of spinach leaves.In addition, the application of 140 kg/ha of N, 140 kg/ha of P2O5 and 100 kg/ha of K2O as mineral fertilizer or as poultry manure gave the best scores of processing suitability of potato, both for sticks and chips. All the fertilization formulae, except for 140 kg/ha of N, 140 kg/ha of P2O5 and 100 kg/ha of K2O as poultry manure alone, showed significant decreases in the extractable sucrose ratio in sugarbeet, compared with the control. In processing tomato, the best scores of suitability for paste transformation were obtained with mixed fertilization (1/3 poultry manure and 2/3 mineral fertilizers) applying 210 kg/ha of N, 210 kg/ha of P2O5 and 150 kg/ha of K2O and the plots receiving only mineral fertilizers produced fruits with less favourable values of pH and electrical conductivity compared to the poultry manured ones.

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