Cercospora species cause pink spot disease on guava fruit in Brazil

2021 ◽  
Author(s):  
Evelyn N. Shirado ◽  
João Paulo Rodrigues Marques ◽  
Renan Fernandes Alves ◽  
Beatriz Appezzato‐da‐Glória ◽  
Bárbara Ludwig Navarro ◽  
...  
Keyword(s):  
Spot Disease ◽  
Guava Fruit

TWO NEW SEVERE LEAF SPOT DISEASE ON FOREST TREES OF JALGAON (MAHARASTRA) INDIA

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
S. A. FIRDOUSI
Keyword(s):  
Leaf Spot ◽  
Fungal Disease ◽  
Leaf Spot Disease ◽  
Forest Trees ◽  
First Report ◽  
Spot Disease ◽  
Severe Leaf

During the survey of the forest fungal disease, of Jalgaon district, two severe leaf spot diseases on Lannae coromandelica and ( Ougenia dalbergioides (Papilionaceae) were observed in Jalgaon, forest during July to September 2016-17. The casual organism was identified as Stigmina lanneae and Phomopsis sp. respectively1-4,7. These are first report from Jalgaon and Maharashtra state.

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.

Rapid Inoculation Technique and Biological Control of Leaf Spot Disease in Oil Palm

2019 ◽  
Vol 2 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Delia Agustina ◽  
◽  
Cahya Prihatna ◽  
Antonius Suwanto ◽  
◽  
...  
Keyword(s):  
Biological Control ◽  
Oil Palm ◽  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Inoculation Technique ◽  
Spot Disease

COMBINING ABILITY FOR GRAIN YIELD AND BROWN SPOT DISEASE RESISTANCE TRAITS IN RICE (Oryza sativa L.) UNDER SALINE SOIL CONDITIONS

2009 ◽  
Vol 34 (3) ◽  
pp. 2017-2039
Author(s):  
S. M. Shehata ◽  
A. B. Elabd ◽  
A. S. M. AbdEL-lattef ◽  
E. A. S. Badr
Keyword(s):  
Oryza Sativa ◽  
Disease Resistance ◽  
Grain Yield ◽  
Combining Ability ◽  
Saline Soil ◽  
Oryza Sativa L ◽  
Brown Spot ◽  
Soil Conditions ◽  
Spot Disease ◽  
Brown Spot Disease

scholarly journals Registration of three peanut allotetraploid interspecific hybrids resistant to late leaf spot disease and tomato spotted wilt

2021 ◽  
Author(s):  
Ye Chu ◽  
H. Thomas Stalker ◽  
Kathleen Marasigan ◽  
Chandler M. Levinson ◽  
Dongying Gao ◽  
...  
Keyword(s):  
Leaf Spot ◽  
Interspecific Hybrids ◽  
Leaf Spot Disease ◽  
Late Leaf Spot ◽  
Spot Disease ◽  
Tomato Spotted Wilt

Detection of leaf spot disease of banana caused by Alternaria sp. in Gujarat, India

2021 ◽  
pp. 1-7
Author(s):  
Zalak M. Patel ◽  
Siva Satya Mohan Jampala
Keyword(s):  
Leaf Spot ◽  
Leaf Spot Disease ◽  
Spot Disease ◽  
Alternaria Sp

Molecular identification of white spot syndrome virus (WSSV) and associated risk factors for white spot disease (WSD) prevalence in shrimp (Penaeus monodon) aquaculture in Bangladesh

2021 ◽  
Vol 179 ◽  
pp. 107535
Author(s):  
Abu Salman Talukder ◽  
Nusrat Jahan Punom ◽  
Md. Mostavi Enan Eshik ◽  
Mst. Khadiza Begum ◽  
H.M. Rakibul Islam ◽  
...  
Keyword(s):  
Risk Factors ◽  
Molecular Identification ◽  
White Spot Syndrome Virus ◽  
Penaeus Monodon ◽  
White Spot ◽  
White Spot Disease ◽  
Spot Disease ◽  
White Spot Syndrome ◽  
Associated Risk Factors

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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