Production and trade.

2021 ◽  
pp. 22-32
Author(s):  
Fredy H. Ballen ◽  
Edward A. Evans
Keyword(s):  
World Production ◽  
Guava Fruit ◽  
European Markets

Abstract This chapter provides an overview of guava fruit world production, exports, imports and consumption trends, with the focus on US and European markets.

Hostile Takeovers and Anti-takeover Defenses in the Russian Corporate Market

2007 ◽  
pp. 70-84 ◽  
Author(s):  
E. Demidova
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Costs And Benefits ◽  
Hostile Takeovers ◽  
Russian Market ◽  
Takeover Defenses ◽  
The Cost ◽  
European Markets

This article analyzes definitions and the role of hostile takeovers at the Russian and European markets for corporate control. It develops the methodology of assessing the efficiency of anti-takeover defenses adapted to the conditions of the Russian market. The paper uses the cost-benefit analysis, where the costs and benefits of the pre-bid and post-bid defenses are compared.

Guava (Psidium guajava L.) Fruit Coating with Gum – Arabic for Quality and Fruit Fly Control

1970 ◽  
pp. 01-04
Author(s):  
Esameldin B. M. Kabbashi, Ghada H. Abdelrahman and Nawal A. Abdlerahman
Keyword(s):  
Shelf Life ◽  
Gum Arabic ◽  
Fruit Fly ◽  
Psidium Guajava ◽  
Postharvest Quality ◽  
Guava Fruit ◽  
Fruit Shelf Life ◽  
Fly Control ◽  
And Control ◽  
Subtropical Fruit

Guava (Psidium guajava L.) is a lovely tropical and subtropical fruit that originates in Mexico, Central America, and then taken to other distant and near parts around the world. In Sudan this popular fruit is produced in orchards and household and is so profitable but yet attacked by a lot of fruit fly species of the Genera Ceratitis and Bactrocera and the result is a loss of more than 70%. This research aimed at evaluating the effect of Gum Arabic coating (GAC) in extending the shelf life of guava fruit and disinfesting it from these notorious pests. Guava fruits from Kadaro orchards, Khartoum North, were tested using seven concentrations of Gum Arabic solutions. The results reflect that 1: 4 (25%) and 1: 8 (12.5%) (GA: water) concentrations attained 56 and 40% disinfestation, respectively whereas the other lower concentrations effected corresponding results in a range from 20 – 08%. The reduction in maggots per test fruit reached upto 188% as compared to the control.  The highest concentrations (1: 4 & 1: 8) effected a sustainability of 52% in fruit firmness (FF) with an average of medium (3) FF compared to soft FF (4) in the control. The corresponding results in other lower concentrations (1: 16; 1: 32; 1: 64; 1: 72 & 1: 96) were 36, 24, 24, 20 and 16%, respectively. In addition to an average FF of 4 (soft) for all these concentrations and 5 (very soft) for all the corresponding controls. Nevertheless, the sustainability of fruit color (FC) effected by the test concentrations was 52, 44, 24, 22, 24, 20, and 24%, respectively. Regarding these results, the two highest test concentrations effected a sizeable disinfestation and control of fruit flies and a good extension of shelf life of guava in Khartoum State. These findings support using this treatment as an effective IPM tool to extend guava fruit shelf life and upgrading its postharvest quality.

Russia in the World Production and Market of Potatoes and Fruit and Vegetable Products

2020 ◽  
pp. 74-83
Author(s):  
Yu.I. Agirbov ◽  
◽  
R.R. Mukhametzyanov ◽  
E.V. Britik ◽  
◽  
...  
Keyword(s):  
Fruits And Vegetables ◽  
World Market ◽  
Climatic Conditions ◽  
Global Rating ◽  
Vegetable Production ◽  
World Production ◽  
Fruit And Vegetable ◽  
Vegetable Products ◽  
The World ◽  
Qualitative Changes

In 1961-2018 in the world as a whole, the gross harvest of potatoes increased from 290.6 million tons to 368.2 million tons, that is, 1.36 times. Over the same period, the production of vegetables and food melons increased from 197.7 million tons to 1,088.8 million tons (5.51 times), and fruits and berries from 199.9 million tons to 867.8 million tons (4.34 times). In a number of states in 1992-2018 the corresponding increase significantly exceeded the average values for the world as a whole, as a result of which their place in the global ranking increased, and the positions of some traditional producers of potatoes and fruits and vegetables decreased. For example, in terms of gross harvest of potatoes in 1992, Russia was in first place, and Poland was in third, while in 2018 they were in 4th and 9th positions, respectively. In terms of vegetable production, Italy and Japan were displaced from 4th and 5th places, which were taken by Turkey and Nigeria. In terms of gross harvests of fruits and berries, Turkey occupied the fifth position in total world production by 2018, although in 1992 it belonged to Italy. Quantitative and qualitative changes inevitably have a significant impact on both the volume of the world market and the parameters of international trade in potatoes, vegetables and melons, fruits and berries. Processes in foreign economic liberalization and economic integration contributed to an increase in the specialization and concentration of production of relevant plants in countries with more favorable natural and climatic conditions, as well as a gradual increase in demand for potatoes, vegetables and melons, fruits and berries from a number of states, including those that used to meet the needs of their population in large volumes at the expense of their own producers. The Russian Federation is one of the significant players in the world potato and fruit and vegetable market. Despite the increase in gross fruit and vegetable production in recent years, Russia’s positions in the global rating dropped from 7th to 10th place in vegetables and melons, from 20th to 31st place in fruits and berries. As for potatoes, there was a decrease in the volume of its production, as a result, Russia dropped from 1st place in 1992 to 4th place in 2018.

scholarly journals EC Sensitivity of Hydroponically-Grown Lettuce (Lactuca sativa L.) Types in Terms of Nitrate Accumulation

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 315
Author(s):  
Noémi Kappel ◽  
Ildikó Fruzsina Boros ◽  
Francia Seconde Ravelombola ◽  
László Sipos
Keyword(s):  
Lactuca Sativa ◽  
Nitrate Content ◽  
Saline Condition ◽  
Fresh Weight ◽  
Nitrate Level ◽  
Nitrate Accumulation ◽  
Strong Negative Correlation ◽  
Lactuca Sativa L ◽  
Hydroponically Grown ◽  
European Markets

The goal of this research was to investigate the effect of electrical conductivity (EC) levels of the nutrient solution on the fresh weight, chlorophyll, and nitrate content of hydroponic-system-grown lettuce. The selected cultivars are the most representative commercial varieties grown for European markets. Seven cultivars (‘Sintia,’ ‘Limeira,’ ‘Corentine,’ ‘Cencibel,’ ‘Kiber,’ ‘Attiraï,’ and ‘Rouxaï’) of three Lactuca sativa L. types’ (butterhead, loose leaf, and oak leaf) were grown in a phytotron in rockwool, meanwhile the EC level of the nutrient solutions were different: normal (<1.3 dS/m) and high (10 dS/m). The plants in the saline condition had a lower yield but elevated chlorophyll content and nitrate level, although the ‘Limeira’ and ‘Cencibel’ cultivars had reduced nitrate levels. The results and the special characteristic of the lollo-type cultivars showed that the nitrate level could be very different due to salinity (‘Limeira’ had the lowest (684 µg/g fresh weight (FW)) and ‘Cencibel’ had the highest (4396 µg/g FW)). There was a moderately strong negative correlation (−0.542) in the reverse ratio among the chlorophyll and nitrate contents in plants treated with a normal EC value, while this relationship was not shown in the saline condition. Under the saline condition, cultivars acted differently, and all examined cultivars stayed under the permitted total nitrate level (5000 µg/g FW).

scholarly journals AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3830
Author(s):  
Ahmad Almadhor ◽  
Hafiz Tayyab Rauf ◽  
Muhammad Ikram Ullah Lali ◽  
Robertas Damaševičius ◽  
Bader Alouffi ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Color Difference ◽  
Plant Diseases ◽  
Economic Losses ◽  
Production Loss ◽  
Postharvest Diseases ◽  
Tropical Regions ◽  
Guava Fruit ◽  
Tree Classifier

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics’ apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants’ leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

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