Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userمكافحة سوسة النخيل الحمراء (Rhynchophorous ferrugineus Olivier (Coleoptera: Curculionidae باستخدام الفيرمونات التجميعية
1038
0 112
0
(
0
)
Added by
Damascus University ورقة بحثية
Publication date
2005
fields
Plant Protecion
and research's language is
العربية
Authors
أحمد حسين السعود( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
سوسة النخيل الحمراء (Rhynchophorus ferrugineus Olivier (Coleoptera Curculionidae من أهم الحشرات التي تهاجم أشجار نخيل التمر و أخطرها في معظم مناطق زراعتها في العالم، بينت نتائج هذا البحث الذي أجري في إحدى مزارع النخيل في منطقة الختم، أن استخدام المصائد الفيرمونية التجميعية لهذه الحشرة أعطى نتائج جيدة في جمع أعداد كبيرة منها على مدار العام، و منع انتشارها إلى مناطق جديدة و ازدياد أعدادها في المناطق المصابة، و تحديد أماكن انتشار الإصابة و فترات نشاط الحشرة و النسبة الجنسية على مدار العام، و هذا ما ساعد في وضع الخطط و البرامج اللازمة للحد من أضرار هذه الحشرة و تقييم عمليات المكافحة المتبعة ضدها، و من المعلوم أن الفيرمونات لا تسبب أية أضرار للبيئة أو الإنسان أو الحيوان، كما أن هذه الطريقة سهلة التطبيق، و رخيصة التكاليف على المدى البعيد. بينت نتائج هذه الدراسة فعالية التراكيز 400 ، 200 و 700.
No English abstract
References used
AAbraham,V. A., Al Shuaibi, M. A.; Faleiro, J. R.; Abozuhairah, R.A. and Vidyasagar, P. S. P. V. 1998. An integrated management approach for red palm weevil, Rhynchophorus ferrugineus Oliv. A key pest of date palm in the Middle East. Agricultural Sci. 3: 77-83
Abraham, V.A.; Faliero, J. R.; Prem- Kumar. T. and M. A. A.; Shuaibi. 1999. Sex ratio of Weevil Rhynchophorus ferrugineus Oliv. Captured from date plantations of Saudi Arabia using pheromone (ferrolure)traps. Indian. J. Entomol.( India) . June 1999.Vol. 61(2) : 201-204
Abraham, V. A., Faleiro, J.R., Al-Shuaibi, M.A. and Prem Kumar, T. 2000. A strategy to manage red palm weevil Rhynchophorus ferruginous Oliv. In date palm Phoenix dactylifera. Its successful implementation in Al- Hassa,Kingdom of Saudi Arabia. Pestology, 24(12): 23-30
rate research
Read More
The efficacy of insecticide and plant extracts were tested against beet flea
beetle, Chaetocnema tibialis (Illiger) during 2008 and 2009 seasons. Six
pesticides were evaluated against beet flea beetle, results showed that Cyperino
gave the highest
effective percentage (90.88) followed by Cypermethrin
(90.69%), in comparison with Nimadol (49.35%) after two weeks of treatment.
Four plant extracts were evaluated against beet flea beetle in comparison with
Sopreen. Results showed that Melia azedarach L. extract gave the highest
effective percentage (60.81) followed Styrax officinalis L. leaves and branches
and Capsicum annuum L. extracts by 31.35, 28.44 and 16.57, respectively, in
comparison with Sopreen (58.55%) after 7 days of treatment. Percentage of
efficacy decreased gradually by increasing the period of exposure after
treatment for plant extracts from 63.19% after 3 days to 51.80% after 10 days
of Melia azedarach L. extract. Whereas the efficacy percentage of Sopreen
increased from 41.67% after 3 days to 74.57% after 10 days of treatment.
This research presents literature review on using Artificial intelligence and Data Mining techniques in Anti Money Laundering systems. We compare many methodologies used in different research papers with the purpose of shedding some light on real life applications using Artificial intelligence
An HPLC separation of the geometric isomers of β-carotene was developed
to evaluate the Provitamin A content of Palm oil . Different stationary phases
were studied, the best separation of all-trans-, 9-cis- and 13-cis-β-carotene were
obtained with
calcium hydroxide columns using isocratic elution . Eluent was nhexane
or isooctane or mixtures of them. These techniques were used to
determine the provitamin A content of palm oil .
The objective of this work was the introduction of an effective approach based on the AraBERT language model for fighting Tweets COVID-19 Infodemic. It was arranged in the form of a two-step pipeline, where the first step involved a series of pre-pro
cessing procedures to transform Twitter jargon, including emojis and emoticons, into plain text, and the second step exploited a version of AraBERT, which was pre-trained on plain text, to fine-tune and classify the tweets with respect to their Label. The use of language models pre-trained on plain texts rather than on tweets was motivated by the necessity to address two critical issues shown by the scientific literature, namely (1) pre-trained language models are widely available in many languages, avoiding the time-consuming and resource-intensive model training directly on tweets from scratch, allowing to focus only on their fine-tuning; (2) available plain text corpora are larger than tweet-only ones, allowing for better performance.
Tensile and bending tests modeling have been undertaken for various welded joints
which were different in shape and design. Also, the hot spot stress was calculated at critical
failure areas using the finite elements analysis method. There was a go
od similarity
between experimentally defined critical areas in certain certified literature and those in our
modeling. It appeared that the information listed in the international institute for welding
(IIW) in regards of hot spot stress method gives relatively accurate values for the welded
joints possibility to endure fatigue loading and keep their desired mechanical properties
even those joints that could fail only at the connecting area with the base metal.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
