scholarly journals A Review of Common Liverwort Control Practices in Container Nurseries and Greenhouse Operations

2020 ◽  
Vol 30 (4) ◽  
pp. 471-479
Author(s):  
Manjot Kaur Sidhu ◽  
Roberto G. Lopez ◽  
Sushila Chaudhari ◽  
Debalina Saha
Keyword(s):  
Production Systems ◽  
Ornamental Plants ◽  
Current Control ◽  
Marchantia Polymorpha ◽  
Growth Stages ◽  
Growing Medium ◽  
Production Environments ◽  
Container Nurseries ◽  
Different Growth Stages ◽  
Container Production

Common liverwort (Marchantia polymorpha) is a primitive, spore-bearing bryophyte that thrives in containerized ornamental crop propagation and production environments. It is one of the major weed problems in container nurseries and greenhouses because it competes with ornamental plants for soil/growing medium, nutrients, water, space, and oxygen within the container. As a result, its presence can reduce the overall quality and market value of the ornamental crop. Once established in nurseries and greenhouses, it spreads rapidly because of its ability to propagate both asexually and sexually. Currently, no effective methods of controlling common liverwort in container production systems are available because a significant knowledge gap exists. Therefore, research is needed to determine whether organic mulches (types, depths, moisture holding capacity, and particle size), biopesticides, and strategic placement of fertilizers within containers suppress or inhibit common liverwort growth and development. In addition, newer chemicals (both synthetic and organic) and combinations need to be tested on different growth stages of common liverwort. The objective of this review was to summarize previous and current research related to common liverwort control in container production, and to identify areas where additional research is needed either to improve current control methods or to develop new ones.

scholarly journals Biology and Management of Common Chickweed (Stellaria media) in Ornamental Crop Production

EDIS ◽  
2019 ◽  
Vol 2019 (5) ◽  
pp. 5
Author(s):  
Yuvraj Christopher Khamare ◽  
Chris Marble ◽  
Nathan Boyd ◽  
Shawn Steed
Keyword(s):  
Agricultural Production ◽  
Crop Production ◽  
Production Systems ◽  
Ornamental Plants ◽  
Cool Season ◽  
Stellaria Media ◽  
Green Industry ◽  
Container Nurseries ◽  
Industry Professionals ◽  
Agricultural Production Systems

Chickweed is a common cool-season annual weed in Florida landscapes, container nurseries, home gardens, and other agricultural production systems. This new 5-page article is written for green industry professionals and others to aid in the identification and management of chickweed in and around ornamental plants. Written by Yuvraj Khamare, Chris Marble, Nathan Boyd, and Shawn Steed and published by the UF/IFAS Environmental Horticulture Department. https://edis.ifas.ufl.edu/ep577

scholarly journals Biology and Management of Doveweed (Murdannia nudiflora) in Ornamental Crop Production

EDIS ◽  
2019 ◽  
Vol 2019 (5) ◽  
pp. 5
Author(s):  
Yuvraj Khamare ◽  
Chris Marble ◽  
Nathan Boyd ◽  
Shawn Steed
Keyword(s):  
Crop Production ◽  
Production Systems ◽  
Ornamental Plants ◽  
Warm Season ◽  
Green Industry ◽  
Container Nurseries ◽  
Murdannia Nudiflora ◽  
Postemergence Herbicides ◽  
Industry Professionals ◽  
Agricultural Production Systems

Doveweed is a common warm-season annual weed in Florida landscapes, container nurseries, and other agricultural production systems. This new 5-page article is written for green industry professionals and others to aid in the identification and management of doveweed in and around ornamental plants. Preemergence and postemergence herbicides are covered, as well as basic information on doveweed biology and growth. Written by Yuvraj Khamare, Chris Marble, Nathan Boyd, and Shawn Steed, and published by the UF/IFAS Environmental Horticulture Department. https://edis.ifas.ufl.edu/ep576

scholarly journals Detection of a Potato Disease (Early Blight) Using Artificial Intelligence

2021 ◽  
Vol 13 (3) ◽  
pp. 411
Author(s):  
Hassan Afzaal ◽  
Aitazaz A. Farooque ◽  
Arnold W. Schumann ◽  
Nazar Hussain ◽  
Andrew McKenzie-Gopsill ◽  
...  
Keyword(s):  
Early Blight ◽  
Production Systems ◽  
Potato Production ◽  
Growth Stages ◽  
Processing Unit ◽  
Potato Plants ◽  
Disease Identification ◽  
Graphical Processing ◽  
Blight Disease ◽  
Different Growth Stages

This study evaluated the potential of using machine vision in combination with deep learning (DL) to identify the early blight disease in real-time for potato production systems. Four fields were selected to collect images (n = 5199) of healthy and diseased potato plants under variable lights and shadow effects. A database was constructed using DL to identify the disease infestation at different stages throughout the growing season. Three convolutional neural networks (CNNs), namely GoogleNet, VGGNet, and EfficientNet, were trained using the PyTorch framework. The disease images were classified into three classes (2-class, 4-class, and 6-class) for accurate disease identification at different growth stages. Results of 2-class CNNs for disease identification revealed the significantly better performance of EfficientNet and VGGNet when compared with the GoogleNet (FScore range: 0.84–0.98). Results of 4-Class CNNs indicated better performance of EfficientNet when compared with other CNNs (FScore range: 0.79–0.94). Results of 6-class CNNs showed similar results as 4-class, with EfficientNet performing the best. GoogleNet, VGGNet, and EfficientNet inference time values ranged from 6.8–8.3, 2.1–2.5, 5.95–6.53 frames per second, respectively, on a Dell Latitude 5580 using graphical processing unit (GPU) mode. Overall, the CNNs and DL frameworks used in this study accurately classified the early blight disease at different stages. Site-specific application of fungicides by accurately identifying the early blight infected plants has a strong potential to reduce agrochemicals use, improve the profitability of potato growers, and lower environmental risks (runoff of fungicides to water bodies).

scholarly journals Biology and Management of Galinsoga (Galinsoga quadriradiata) in Ornamental Crop Production

EDIS ◽  
2020 ◽  
Vol 2020 (5) ◽  
Author(s):  
Thomas Patrick Smith ◽  
Chris Marble ◽  
Shawn Steed ◽  
Nathan Boyd
Keyword(s):  
Agricultural Production ◽  
Crop Production ◽  
Production Systems ◽  
Ornamental Plants ◽  
Warm Season ◽  
Green Industry ◽  
Container Nurseries ◽  
Industry Professionals ◽  
Agricultural Production Systems

Galinsoga (Galinsoga quadriradiata) is an erect (upright), herbaceous, short-lived warm-season annual weed in Florida landscapes, container nurseries, and other agricultural production systems. In nurseries and landscapes, galinsoga can be a troublesome weed, but it has been utilized by some cultures for food or medicinal purposes. This new 5-page article is written for green-industry professionals and others to aid in the identification and management of galinsoga in and around ornamental plants. Written by Thomas Smith, Chris Marble, Shawn Steed, and Nathan Boyd, and published by the UF/IFAS Environmental Horticulture Department. https://edis.ifas.ufl.edu/ep593

scholarly journals Effects of Propamocarb Hydrochloride on Mycelial Growth, Sporulation, and Infection by Phytophthora nicotianae Isolates from Virginia Nurseries

Plant Disease ◽  
2007 ◽  
Vol 91 (4) ◽  
pp. 414-420 ◽  
Author(s):  
Jiahuai Hu ◽  
Chuanxue Hong ◽  
Erik L. Stromberg ◽  
Gary W. Moorman
Keyword(s):  
Mycelial Growth ◽  
Ornamental Plants ◽  
Phytophthora Species ◽  
Phytophthora Nicotianae ◽  
Growth Stages ◽  
Systemic Fungicide ◽  
Reliable Measurement ◽  
Relative Growth ◽  
Sensitive Isolate ◽  
Different Growth Stages

Propamocarb hydrochloride is a systemic fungicide commonly used for control of Phytophthora diseases of nursery crops. Here we report on the effect of this compound on different growth stages of Phytophthora nicotianae, a major pathogen of numerous herbaceous and some woody ornamental plants. A total of 71 isolates were assayed for sensitivity to propamocarb at two concentrations of 1.8 mg/ml (label rate) and 10 mg/ml using clarified V8 agar as a base medium. All isolates grew at 10 mg/ml with the most sensitive isolate having 34.8% relative growth compared with growth on nonamended medium. Nine isolates were selected and further tested for mycelial growth at 0, 1, 10, 25, 50, and 100 mg/ml, and for sporangium production, zoospore motility, and germination at 0, 5, 50, 500, 5,000, and 50,000 μg/ml. EC50 values ranged from 2.2 to 90.1 mg/ml for mycelial growth, 133.8 to 481.3 μg/ml for sporangium production, 88.1 to 249.8 μg/ml for zoospore motility, and 1.9 to 184.6 μg/ml for zoospore germination, respectively. In addition, 17 selected isolates were evaluated for propamocarb sensitivity on Pelargonium × hortorum cv. White Orbit. Two days after seedlings were treated with propamocarb at 3.6 mg/ml, they were inoculated by either inverting one 5-mm-diameter plug of a 3-day-old culture or applying a 10-μl drop containing 20 zoospores onto each cotyledon. Propamocarb hydrochloride provided good protection of geranium seedlings from zoospore infections but not from mycelial infections. These results suggest that this fungicide must be used preventively for Phytophthora disease management and that mycelial growth may not be the most reliable measurement to determine the development of fungicide resistance to this compound in Phytophthora species at production facilities and in the landscape.

Cytokinins from terminal buds of Euphoria longana during different growth stages

1997 ◽  
Vol 99 (1) ◽  
pp. 185-189
Author(s):  
Wen-Shaw Chen ◽  
Kuang-Liang Huang ◽  
Hsiao-Ching Yu
Keyword(s):  
Growth Stages ◽  
Terminal Buds ◽  
Different Growth Stages

Effects of Meteorological Factors at Different Growth Stages on Yield Traits of Maize (Zea maysL.) in Heilonggang Basin

2013 ◽  
Vol 39 (5) ◽  
pp. 919 ◽  
Author(s):  
Bo MING ◽  
Jin-Cheng ZHU ◽  
Hong-Bin TAO ◽  
Li-Na XU ◽  
Bu-Qing GUO ◽  
...  
Keyword(s):  
Meteorological Factors ◽  
Growth Stages ◽  
Yield Traits ◽  
Different Growth Stages
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