Effect of the harvest time on kernel quality of several almond varieties (Prunus dulcis (Mill.) D.A. Webb)

2010 ◽  
Vol 125 (1) ◽  
pp. 41-46 ◽  
Author(s):  
A. Piscopo ◽  
F.V. Romeo ◽  
B. Petrovicova ◽  
M. Poiana
2009 ◽  
Vol 70 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Marek Gajewski ◽  
Zenon Węglarz ◽  
Anna Sereda ◽  
Marta Bajer ◽  
Agnieszka Kuczkowska ◽  
...  

Quality of Carrots Grown for Processing as Affected by Nitrogen Fertilization and Harvest TermIn 2007-2008 the effect of nitrogen fertilization and harvest term on quality of two carrot cultivars was investigated. The field experiment was carried out in Żelazna Experimental Station of Warsaw University of Life Sciences. Karotan F1and Trafford F1cultivars, commonly grown for juice industry, were the objects of the experiment. Carrot seeds were sown at the beginning of May. Nitrogen fertilization was applied in five rates, ranged from 0 to 120 kg·ha-1and in two terms — before sowing and in the middle of growing season. Roots were harvested in three terms: mid-September, mid-October and the first decade of November. After harvest there were determined: nitrates (NO3) content in carrot roots and juice, soluble solids, colour parameters of juice in CIE L*a*b*system. The dose and the term of nitrogen fertilization influenced nitrates content in carrots, and the highest NO3concentration was found in carrots fertilized with 120 kg·ha-1of N before sowing. Karotan showed higher nitrates accumulation than Trafford. The content of nitrates in the roots was markedly higher than in carrot juice. Nitrates content in carrots decreased with delaying of harvest time, in opposite to soluble solids content. Soluble solids content and colour parameters of carrot juice were not affected by nitrogen fertilization, but the lowest L*, a*and b*values were observed at the last term of harvest.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2940
Author(s):  
Luciano Ortenzi ◽  
Simone Figorilli ◽  
Corrado Costa ◽  
Federico Pallottino ◽  
Simona Violino ◽  
...  

The degree of olive maturation is a very important factor to consider at harvest time, as it influences the organoleptic quality of the final product, for both oil and table use. The Jaén index, evaluated by measuring the average coloring of olive fruits (peel and pulp), is currently considered to be one of the most indicative methods to determine the olive ripening stage, but it is a slow assay and its results are not objective. The aim of this work is to identify the ripeness degree of olive lots through a real-time, repeatable, and objective machine vision method, which uses RGB image analysis based on a k-nearest neighbors classification algorithm. To overcome different lighting scenarios, pictures were subjected to an automatic colorimetric calibration method—an advanced 3D algorithm using known values. To check the performance of the automatic machine vision method, a comparison was made with two visual operator image evaluations. For 10 images, the number of black, green, and purple olives was also visually evaluated by these two operators. The accuracy of the method was 60%. The system could be easily implemented in a specific mobile app developed for the automatic assessment of olive ripeness directly in the field, for advanced georeferenced data analysis.


2021 ◽  
Vol 948 (1) ◽  
pp. 012003
Author(s):  
K Kartini ◽  
W A Wulandari ◽  
N I E Jayani ◽  
F Setiawan

Abstract Phyllanthus niruri L. (meniran), the member of Euphorbiaceae, is a medicinal plant that is commonly found in tropical and sub-tropical areas such as Asia, America, and China. Various factors such as environment, geographical location, harvest time, and post-harvest process can affect the quality of crude drugs produced from P. niruri. The objective of this study was to evaluate the quality of meniran herbs obtained from 15 geographical origins in East and Central Java, Indonesia using Thin Layer Chromatography (TLC) profiles analyzed by chemometrics. TLC was carried out using TLC plate Si Gel 60 GF254 as stationary phase; toluene, ethyl acetate, methanol, 85% formic acid (75:25:25:6) as mobile phase; and visualized using NP/PEG Reagent. The results showed TLC-fingerprinting combined with chemometric (PCA and CA) analyses were able to discriminate the origin of P. niruri from different geographical origins. P. niruri from 15 locations of East and Central Java Indonesia were classified into 5 groups based on their chemical similarity. The samples that are grouped in one cluster have the similar quality of chemical compounds, while the samples in different clusters also have different qualities.


2020 ◽  
Vol 261 ◽  
pp. 108936 ◽  
Author(s):  
Shimeles Tilahun ◽  
Han Ryul Choi ◽  
Do Su Park ◽  
Yeon Mi Lee ◽  
Jong Hang Choi ◽  
...  
Keyword(s):  

Euphytica ◽  
2019 ◽  
Vol 215 (10) ◽  
Author(s):  
Ali Khadivi ◽  
Somayeh Goodarzi ◽  
Ali Sarkhosh
Keyword(s):  

2015 ◽  
Vol 58 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Ozgun Kalkisim ◽  
Ali Turan ◽  
Zuhal Okcu ◽  
Duygu Ozdes
Keyword(s):  

2007 ◽  
Vol 47 (1) ◽  
pp. 25 ◽  
Author(s):  
A. G. Kaiser ◽  
B. S. Dear ◽  
S. G. Morris

The effect of harvest time on the dry matter (DM) yield and quality of 10 annual temperate legumes [Trifolium subterraneum, var. brachcalycinum and var. subterraneum L. (subterranean clover), T. michelianum Savi (balansa clover), T. alexandrinum L. (berseem clover), Medicago murex Willd. (murex medic), M. truncatula Gaertn. (barrel medic), T. vesiculosum Savi (arrowleaf clover), Vicia sativa L. (common vetch), V. benghalensis L. (purple vetch), Pisum sativum L. (peas) grown in monoculture or in mixtures with oats (Avena sativa L.)] was examined in a Mediterranean environment in southern New South Wales. Three of the legumes (subterranean clover, berseem and peas) were also grown in mixtures with ryegrass (Lolium multiflorum Lam.). The forages were sown on 29 May and harvested at three times (2 October, 23 October and 6 November), corresponding to the boot, anthesis and dough stage of the cereal oat variety, Kalgan. Peas were the highest yielding of the legume monocultures at each of the three harvest times (6.9, 11.6, 12.3 t DM/ha), followed by purple vetch (6.2, 9.9, 8.7 t DM/ha). Of the small-seeded pasture legumes, berseem, murex and arrowleaf clover were the highest yielding at the second harvest (7.5–8.8 t DM/ha) when most reached their peak biomass. The inclusion of oats with the legumes increased total DM yield at the first, second and third harvests by 10–54, 7–99 and 3–102%, respectively. Oat monocultures were high yielding (up to 17.7 t DM/ha), but had low N contents (6.3–12.5 g N/kg DM). Oat–legume forage mixtures had nitrogen (N) contents of 7–15 g N/kg compared with 17–40 g N/kg in the legume monocultures. The N content and digestibility of most species and mixtures decreased as harvest time was delayed, whereas total DM peaked at the second harvest for all species except Cooba oats. The legume content of the mixtures was negatively correlated with total DM yield, DM content and water soluble carbohydrates, but positively correlated with N content, in vitro digestibility and buffering capacity. The digestibility of oats decreased more rapidly than the legumes with advancing maturity, and it would need to be harvested at the boot stage to produce a silage of sufficiently high metabolisable energy for the production feeding of cattle. A later harvest at anthesis when yield is higher would produce a silage of sufficient quality for production feeding from an oat–large seeded legume mixture with a legume content of 0.50. The oats and ryegrass had high water soluble carbohydrate and low to medium buffering capacity and would, therefore, be expected to produce well-preserved silages. The legume monocultures had low water soluble carbohydrate contents and high buffering capacity values and there would be a high risk of a poor silage fermentation in these forages without field wilting or the use of a silage additive.


Sign in / Sign up

Export Citation Format

Share Document