Peanut (Arachis hypogaea L.) response to low-rate applications of selected herbicides at vegetative and reproductive growth stages

被引:0
|
作者
Singh, Navjot [1 ]
Daramola, Olumide S. [2 ]
Iboyi, Joseph E. [3 ,4 ]
Devkota, Pratap [2 ]
机构
[1] Texas A&M Univ, Dept Crop & Soil Sci, College Stn, TX USA
[2] Univ Florida, Inst Food & Agr Sci, West Florida Res & Educ Ctr, Jay, FL USA
[3] Univ Florida, Inst Food & Agr Sci, North Florida Res & Educ Ctr, Quincy, FL USA
[4] Univ Florida, Inst Food & Agr Sci, North Florida Res & Educ Ctr, 155 Res Rd, Quincy, FL 32351 USA
关键词
SUBLETHAL RATES; GLYPHOSATE; DICAMBA; INJURY; DRIFT; GLUFOSINATE; PARAQUAT; COMBINATIONS; IMAZETHAPYR; LACTOFEN;
D O I
10.1002/agj2.21540
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Off-target drift of herbicides can seriously reduce peanut (Arachis hypogea L.) growth and yield and is of great concern to growers who will need to manage sensitive crops near new herbicide-tolerant crops. Field experiments were conducted in 2021 and 2022 with 25% labeled rates of dicamba, glufosinate, glyphosate, lactofen, and paraquat to simulate drift on peanut. The objective was to evaluate the effects of low-rate application of the herbicides on peanut injury and yield reductions and to determine if unmanned aerial vehicle (UAV) imagery-based normalized difference vegetation index (NDVI) provides accurate estimation of peanut injury from the herbicides applied at vegetative (V3) and reproductive (R3) growth stages. Peanut suffered greater yield reduction (33%) when exposed to the herbicides at R3 than at V3 growth stage (19%) across all herbicides applied. The order of herbicides that induced yield reductions in peanut was glyphosate > glufosinate = dicamba > paraquat = lactofen. Regardless of exposure timing, NDVI values generated from UAV imagery could not differentiate paraquat or lactofen injury from the weed-free check. However, NDVI values could differentiate between injured and weed-free check plants up to 2 and 4 weeks after treatment (WAT) for dicamba at R3 and V3 exposure timing, respectively, up to 4 WAT for glufosinate, and 8 WAT for glyphosate. NDVI from aerial imagery may be helpful to accelerate the detection of injury in large hectarages with greater accuracy compared with visual injury rating, which can be influenced by individual estimation bias.
引用
收藏
页码:478 / 488
页数:11
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