Broadleaf Weed Control and Cabbage Seed Yield following Herbicide Application

Al‐Khatib, Kassim; Libbey, Carl; Kadir, Sorkel

doi:10.21273/hortsci.30.6.1211

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Information on absorption and translocation within plants is less clearly elucidated; however, direct entry into mature plant tissues is considered limited, and unless the dinitroaniline enters meristematic tissues, the chemicals will have little effect on plant growth. There is, however, circumstantial evidence of translocation of soil-applied pendimethalin to leaves of cabbage (Al-Khatib et al 1995). The majority of research with dinitroanilines has been conducted on crop and weed root systems, with little reported on the impact on leaf tissue development.…”

Section: Introductionmentioning

confidence: 99%

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹

Miller¹,

Bellinder²,

Xu³

et al. 2003

Weed Technology

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Field and greenhouse studies were conducted from 1997 to 2001 to determine cabbage response to posttransplant applications of pendimethalin (0.56 to 2.24 kg ai/ha). Differential variety response was minimal, and applications greater than 0.56 kg caused severe and persistent crop injury and reduced head number and yield in ‘Azan’, ‘Storage 4’, ‘Super Elite’, and ‘Super Red 90’. Pendimethalin (1.7 kg) applied posttransplant reduced cabbage yield weights 23, 30, and 87% with bare root, large, and small transplants, respectively. Application (0.84 kg) to soil, foliage, or soil and foliage caused 0, 81, and 82% dry weight reduction by 21 d after treatment, respectively. Anatomical analysis of two-leaf seedlings collected 3 wk after pendimethalin treatment (1.12 kg ai/ha) showed stunting of the shoot apical meristem and its emerging leaves, disorganization of apical structure with disruption of normal cell division and cell expansion, and abnormal differentiation of the vasculature in leaves and hypocotyls.

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Section: Introductionmentioning

confidence: 99%

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹

Miller¹,

Bellinder²,

Xu³

et al. 2003

Weed Technology

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“…Smart et al (2001) similarly noted temporary early-season POST injury due to sulfentrazone on cabbage. Al-Khatib et al (1995) reported slight injury to cabbage grown for seed production from S-metolachlor PRE but seed yield was not affected. There was no visual injury to eggplant or cabbage in 2005 (data not shown).…”

Section: Resultsmentioning

confidence: 99%

Autumn Vegetable Response to Residual Herbicides Applied the Previous Spring Under Low-density Polyethylene Mulch

Grey¹,

Webster²,

Culpepper³

2007

Weed Technology

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Field studies were conducted in 2002 and 2005 to evaluate autumn vegetable tolerance to residual herbicides applied the previous spring under low-density polyethylene (LDPE) mulch. Spring applications of 1.12 kg/ha S-metolachlor, 0.027 kg/ha halosulfuron, 0.28 kg/ha sulfentrazone, and 1.12 kg/ha S-metolachlor plus 0.027 kg/ha halosulfuron were made under LDPE mulch in March of each year and included a nontreated control. After removal of the spring crop, vegetables were planted the following August. Seeded and transplanted squash, seeded cucumber, transplanted eggplant, and transplanted cabbage were evaluated. Injury to eggplant, cucumber, and transplanted and seeded squash ranged from 8 to 16% for halosulfuron, sulfentrazone, and S-metolachlor plus halosulfuron in 2002, but no injury was observed in 2005. Cabbage injury was less than 5% for any herbicide treatment either year. There were no differences for cabbage biomass for three harvests for any herbicide treatment relative to the nontreated control. Vine length for cucumber and transplanted squash was significantly reduced by sulfentrazone relative to the nontreated control. Eggplant yield for the first harvest was significantly reduced by sulfentrazone as compared with the nontreated control in 2002 but not in 2005. To avoid injury to rotational crops, growers should read all herbicide labels when considering spring herbicide applications under LDPE mulch when autumn vegetable plantings are part of their production scheme to ensure successful crop production.

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“…Weed species can significantly impact cabbage growth, quality, and yield. [59][60][61] Cabbage crops at the early growth stage exhibit small, shallow root systems and thin canopies, suggesting they are poor competitors with weeds. 6,62 Therefore, early weed control is important to maximize the vigor and yield of the cabbage.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of two deep learning‐based approaches for detecting weeds growing in cabbage

Sun,

Liu,

Wang

et al. 2024

Pest Management Science

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BACKGROUNDMachine vision‐based precision weed management is a promising solution to substantially reduce herbicide input and weed control cost. The objective of this research was to compare two different deep learning‐based approaches for detecting weeds in cabbage: (1) detecting weeds directly, and (2) detecting crops by generating the bounding boxes covering the crops and any green pixels outside the bounding boxes were deemed as weeds.RESULTSThe precision, recall, F1‐score, mAP0.5, mAP0.5:0.95 of You Only Look Once (YOLO) v5 for detecting cabbage were 0.986, 0.979, 0.982, 0.995, and 0.851, respectively, while these metrics were 0.973, 0.985, 0.979, 0.993, and 0.906 for YOLOv8, respectively. However, none of these metrics exceeded 0.891 when detecting weeds. The reduced performances for directly detecting weeds could be attributed to the diverse weed species at varying densities and growth stages with different plant morphologies. A segmentation procedure demonstrated its effectiveness for extracting weeds outside the bounding boxes covering the crops, and thereby realizing effective indirect weed detection.CONCLUSIONThe indirect weed detection approach demands less manpower as the need for constructing a large training dataset containing a variety of weed species is unnecessary. However, in a certain case, weeds are likely to remain undetected due to their growth in close proximity with crops and being situated within the predicted bounding boxes that encompass the crops. The models generated in this research can be used in conjunction with the machine vision subsystem of a smart sprayer or mechanical weeder. © 2024 Society of Chemical Industry.

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Broadleaf Weed Control and Cabbage Seed Yield following Herbicide Application

Cited by 9 publications

References 5 publications

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹

Autumn Vegetable Response to Residual Herbicides Applied the Previous Spring Under Low-density Polyethylene Mulch

Evaluation of two deep learning‐based approaches for detecting weeds growing in cabbage

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Broadleaf Weed Control and Cabbage Seed Yield following Herbicide Application

Cited by 9 publications

References 5 publications

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant1

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant1

Autumn Vegetable Response to Residual Herbicides Applied the Previous Spring Under Low-density Polyethylene Mulch

Evaluation of two deep learning‐based approaches for detecting weeds growing in cabbage

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Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹

Cabbage (Brassica oleracea) Response to Pendimethalin Applied Posttransplant¹