Abstract
Goal. To develop an effective system for the protection of crops of lentils from weeds by chemical methods. Objective: to investigate the dynamics of the processes of weed infestation, the species composition of weeds, the structure, number and mass of weeds; to study the factors of the negative impact of weeds on lentil plants in the process of their joint vegetation; search and evaluation in field conditions of the effectiveness of herbicides and their compositions on edible lentil crops.
 Methods. Common and special methods: field — the study of the influence of growing conditions and winter hardiness on the performance indicators of edible lentils; laboratory — determination of quantitative and qualitative signs; statistical — the establishment of mathematical models and statistical dependencies between the studied factors and processes.
 Results. It has been established that with the use of the herbicide Zenkor, 70WG, the consumption rate of 0.6 kg / ha of edible lentil yield was 1.45 t / ha and was the highest in the experience with the use of herbicides.
 Conclusion. Edible lentil weeds are dangerous competitors for life factors of plant crops. The presence of weeds in crops during the entire vegetation can reduce the yield of seeds by 86.7%. For a high yield of lentil seed, reliable protection against weeds is a prerequisite.
Highlights
Çà ðåçóëüòàòàìè äîñë3äæåíü âèñîòà ðîñëèí 3 ã3ëêóâàííÿ ñî÷åâèö3 çíèæóâàëèñü íà 27,7% 3ç çá3ëüøåííÿì ù3ëüíîñò3 áóð’ÿí3â äî 32 øò./ì2 òà íà 8,6, 15,1 3 21,3% çà 8, 16 3 24 øò./ì2 â3äïîâ3äíî
Common and special methods: eld — the study of the in uence of growing conditions and winter hardiness on the performance indicators of edible lentils; laboratory — determination of quantitative and qualitative signs; statistical — the establishment of mathematical models and statistical dependencies between the studied factors and processes
Summary
Äîñòàòíüî ñêðîìí ðåçóëüòàòè çàãàëüíîãî çíèæåííÿ ÷èñåëüíîñò ñõîä3â áóð’ÿí3â ó ïîñ3âàõ ñî÷åâèö3 ¿ñò3âíî¿ o íàñë3äêîì ïðèñóòíîñò ðîñëèí áàãàòîð3÷íèê3â, íà ÿê ïðåïàðàòèðóíòîâî¿ ä3¿ 3ñòîòíîãî âïëèâó ïðîÿâëÿòè íå çäàòí. Âîäíî÷àñ çàñòîñóâàííÿ ìàêñèìàëüíèõ íîðì âíåñåííÿ ãåðá3öèäó Çåíêîð, 70WG ó âåðõí3é øàððóíòó ïðîÿâëÿëî ñâîþ àêòèâí3ñòü íå ëèøå íà ö3ëüîâ îá’oêòè-ïðîðîñòêè áóð’ÿí3â, à 3 íà ïðîðîñòêè 3 ñõîäè ðîñëèí êóëüòóðè, òîáòî ñî÷åâèö3 ¿ñò3âíî¿. Þâåí3ëüí ðîñëèíè ñî÷åâèö3 ¿ñò3âíî¿ ó ïîñ3âàõ ç âèêîðèñòàííÿì ìàêñèìàëüíèõ íîðì âèòðàòè ãåðá3öèäó â3äñòàâàëè â3ä ðîñëèí íà ä3ëÿíêàõ, äå òàêèõ âèñîêèõ íîðì âíåñåííÿ ïðåïàðàòó íå çä3éñíþâàëè, â ñåðåäíüîìó íà 4—7 ä3á âåãåòàö3¿. Óðîæàéí3ñòü íàñ3ííÿ ñî÷åâèö3 ¿ñò3âíî¿ íà ÷èñòîìó êîíòðîë (ïîñ3âè, ùî âåãåòóâàëè áåç ïðèñóòíîñò áóð’ÿí3â) çà ðîêè ïðîâåäåííÿ äîñë3äæåíü ñòàíîâèëà 1,73 ò/ãà, óðîæàéí3ñòü çàáóð’ÿíåíèõ ïîñ3â3â — 0,18 ò/ãà Çàñòîñóâàííÿ äëÿ çàõèñòó ïîñ3â3â ñî÷åâèö3 ¿ñò3âíî¿ â3ä áóð’ÿí3â ìîæëèâîñòåé ãåðá3öèäóðóíòîâî¿ ä3¿ Çåíêîð, 70WG (ìåòðèáóçèí, 700 ã/êã) + ãðàì3í3öèä Òàðãà Ñóïåð, 5% ê.å. Åôåêòèâí3ñòü ñèñòåìè çàõèñòó ïîñ3â3â ñî÷åâèö3 ¿ñò3âíî¿ çà äîïîìîãîþ ãåðá3öèäó Çåíêîð, 70WG 2015—2018 ðð
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