Conţinutul numărului revistei |
Articolul precedent |
Articolul urmator |
1074 18 |
Ultima descărcare din IBN: 2024-02-26 16:39 |
Căutarea după subiecte similare conform CZU |
632.731:595.731 (1) |
Boli ale plantelor. Dăunători și organisme vătămătoare pentru plante. Protejarea plantelor (977) |
Articulata (347) |
SM ISO690:2012 МУНТЯН, Елена, БАТКО, Михаил, ЯЗЛОВЕЦКИЙ, Игорь. Оценка плотности имаго табачного трипса в теплицах с помощью аттрактивных ловушек. In: Ştiinţa Agricolă, 2016, nr. 2, pp. 53-58. ISSN 1857-0003. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Ştiinţa Agricolă | ||||||
Numărul 2 / 2016 / ISSN 1857-0003 /ISSNe 2587-3202 | ||||||
|
||||||
CZU: 632.731:595.731 | ||||||
Pag. 53-58 | ||||||
|
||||||
Descarcă PDF | ||||||
Rezumat | ||||||
A method for assessing the density of tobacco thrips populations in greenhouses using clear sticky traps equipped with dispensers and attractants is proposed. The mean height and standard deviation of Thrips tabaci’s flight in the absence (0,81±0,37 m) and in the presence (0,92±0,33 m) of the attractant – ethylnicotinate – were determined on sweet pepper and tomatoes. It was shown that replacing ethylnicotinate by ethylisonicotinate increases circular effective attraction radius of the sticky traps by 3,6 times, which significantly enhances the sensitivity of the method. The method allows to identify quickly and accurately the Thrips tabaci at low abundance and to estimate the changes in pest population density after the application of plant protection products. |
||||||
Cuvinte-cheie Thrips tabaci Lindeman, Аттрактанты, Белые клеевые ловушки, Плотность популяции |
||||||
|
Cerif XML Export
<?xml version='1.0' encoding='utf-8'?> <CERIF xmlns='urn:xmlns:org:eurocris:cerif-1.5-1' xsi:schemaLocation='urn:xmlns:org:eurocris:cerif-1.5-1 http://www.eurocris.org/Uploads/Web%20pages/CERIF-1.5/CERIF_1.5_1.xsd' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' release='1.5' date='2012-10-07' sourceDatabase='Output Profile'> <cfResPubl> <cfResPublId>ibn-ResPubl-50359</cfResPublId> <cfResPublDate>2016-12-22</cfResPublDate> <cfIssue>2</cfIssue> <cfStartPage>53</cfStartPage> <cfISSN>1857-0003</cfISSN> <cfURI>https://ibn.idsi.md/ro/vizualizare_articol/50359</cfURI> <cfTitle cfLangCode='RU' cfTrans='o'>Оценка плотности имаго табачного трипса в теплицах с помощью аттрактивных ловушек</cfTitle> <cfKeyw cfLangCode='RU' cfTrans='o'>Thrips tabaci Lindeman; Аттрактанты; Белые клеевые ловушки; Плотность популяции</cfKeyw> <cfAbstr cfLangCode='EN' cfTrans='o'>A method for assessing the density of tobacco thrips populations in greenhouses using clear sticky traps equipped with dispensers and attractants is proposed. The mean height and standard deviation of Thrips tabaci’s flight in the absence (0,81±0,37 m) and in the presence (0,92±0,33 m) of the attractant – ethylnicotinate – were determined on sweet pepper and tomatoes. It was shown that replacing ethylnicotinate by ethylisonicotinate increases circular effective attraction radius of the sticky traps by 3,6 times, which significantly enhances the sensitivity of the method. The method allows to identify quickly and accurately the Thrips tabaci at low abundance and to estimate the changes in pest population density after the application of plant protection products. </cfAbstr> <cfAbstr cfLangCode='RU' cfTrans='o'>Предложен метод оценки плотности популяций табачного трипса в теплицах с использованием белых клеевых ловушек, снабженных диспенсерами с аттрактантом. На сладком перцe и томатах определена средняя высота и стандартное отклонение вертикального полёта табачного трипса в отсутствие (0,81±0,37 м) и в присутствии (0,92±0,33 м) аттрактанта - этилникотината. Показано, что замена этилникотината на этилизоникотинат увеличивает круговой эффективный радиус привлечения (EARc) клеевой ловушки в 3,6 раза, что значительно повышает чувствительность метода. Метод позволяет быстро и точно выявлять Thrips tabaci при низкой его численности, оценивать изменения плотности популяции вредителя после применения средств защиты растений. </cfAbstr> <cfResPubl_Class> <cfClassId>eda2d9e9-34c5-11e1-b86c-0800200c9a66</cfClassId> <cfClassSchemeId>759af938-34ae-11e1-b86c-0800200c9a66</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> </cfResPubl_Class> <cfResPubl_Class> <cfClassId>e601872f-4b7e-4d88-929f-7df027b226c9</cfClassId> <cfClassSchemeId>40e90e2f-446d-460a-98e5-5dce57550c48</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> </cfResPubl_Class> <cfPers_ResPubl> <cfPersId>ibn-person-1286</cfPersId> <cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId> <cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> </cfPers_ResPubl> <cfPers_ResPubl> <cfPersId>ibn-person-1159</cfPersId> <cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId> <cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> </cfPers_ResPubl> <cfPers_ResPubl> <cfPersId>ibn-person-12133</cfPersId> <cfClassId>49815870-1cfe-11e1-8bc2-0800200c9a66</cfClassId> <cfClassSchemeId>b7135ad0-1d00-11e1-8bc2-0800200c9a66</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> </cfPers_ResPubl> </cfResPubl> <cfPers> <cfPersId>ibn-Pers-1286</cfPersId> <cfPersName_Pers> <cfPersNameId>ibn-PersName-1286-1</cfPersNameId> <cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId> <cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> <cfFamilyNames>Muntyan</cfFamilyNames> <cfFirstNames>Elena</cfFirstNames> <cfFamilyNames>Мунтян</cfFamilyNames> <cfFirstNames>Елена</cfFirstNames> </cfPersName_Pers> </cfPers> <cfPers> <cfPersId>ibn-Pers-1159</cfPersId> <cfPersName_Pers> <cfPersNameId>ibn-PersName-1159-1</cfPersNameId> <cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId> <cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> <cfFamilyNames>Batco</cfFamilyNames> <cfFirstNames>Mihail</cfFirstNames> <cfFamilyNames>Батко</cfFamilyNames> <cfFirstNames>Михаил</cfFirstNames> </cfPersName_Pers> </cfPers> <cfPers> <cfPersId>ibn-Pers-12133</cfPersId> <cfPersName_Pers> <cfPersNameId>ibn-PersName-12133-1</cfPersNameId> <cfClassId>55f90543-d631-42eb-8d47-d8d9266cbb26</cfClassId> <cfClassSchemeId>7375609d-cfa6-45ce-a803-75de69abe21f</cfClassSchemeId> <cfStartDate>2016-12-22T24:00:00</cfStartDate> <cfFamilyNames>Yazlovetsky</cfFamilyNames> <cfFirstNames>Igori</cfFirstNames> <cfFamilyNames>Язловецкий</cfFamilyNames> <cfFirstNames>Игорь</cfFirstNames> </cfPersName_Pers> </cfPers> </CERIF>