Archive for the ‘Identification’ Category

New app identifies rice disease at early stages

by David Bradley, Inderscience

rice plant
Credit: Unsplash/CC0 Public Domain

Rice is one of the most important food crops for billions of people but the plants are susceptible to a wide variety of diseases that are not always easy to identify in the field. New work in the International Journal of Engineering Systems Modelling and Simulation has investigated whether an application based on a convolution neural network algorithm could be used to quickly and effectively determine what is afflicting a crop, especially in the early stages when signs and symptoms may well be ambiguous.

Manoj Agrawal and Shweta Agrawal of Sage University in Indore, Madhya Pradesh, suggest that an automated method for rice disease identification is much needed. They have now trained various machine learning tools with more than 4,000 images of healthy and diseased rice and tested them against disease data from different sources. They demonstrated that the ResNet50 architecture offers the greatest accuracy at 97.5%.

The system can determine from a photograph of a sample of the crop whether or not it is diseased and if so, can then identify which of the following common diseases that affect rice the plant has: Leaf Blast, Brown Spot, Sheath Blight, Leaf Scald, Bacterial Leaf Blight, Rice Blast, Neck Blast, False Smut, Tungro, Stem Borer, Hispa, and Sheath Rot.

Overall, the team’s approach is 98.2% accurate on independent test images. Such accuracy is sufficient to guide farmers to make an appropriate response to a given infection in their crop and thus save both their crop and their resources rather than wasting produce or money on ineffective treatments.

The team emphasizes that the system works well irrespective of the lighting conditions when the photograph is taken or the background in the photograph. They add that accuracy might still be improved by adding more images to the training dataset to help the application make predictions from photos taken in disparate conditions.

More information: Shweta Agrawal et al, Rice plant diseases detection using convolutional neural networks, International Journal of Engineering Systems Modelling and Simulation (2022). DOI: 10.1504/IJESMS.2022.10044308

Provided by Inderscience 

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The correct identification of insect pests and their natural enemies is critical for developing sound and sustainable pest management strategies: this is particularly so for rice. In the 1960’s, a comprehensive rice insect pest and natural enemy collection was established at the International Rice Research Institute (IRRI) in the Philippines, with the aim of helping those in national rice research programs to identify rice arthropods. 

A similar project was begun in West Africa in 1990, establishing a rice insect and natural enemy collection at WARDA (West African Rice Development Association), which subsequently became AfricaRice.

Associated with both of these collections, dichotomous keys were developed and published in the following books on rice arthropods:
Biology and Management of Rice Insects,
edited by E. A. Heinrichs (1994) and published by IRRI, and 
Rice Feeding Insects and Selected Natural Enemies in West Africa, authored by E. A. Heinrichs and Alberto Barrion (2002).

While the printed versions of both books have been out-of-print for several years, a recent upgrade of the Lucid software program, which makes it possible to convert paper-based, dichotomous keys to interactive pathway keys, means that both keys are now freely available to use on the Internet, courtesy of IAPPS (International Association for the Plant Protection Scientists) at: http://www.plantprotection.org

 Adding arthropod images: Note that the IRRI key now includes a large number of color images of important insect pests and natural enemies. E.A. Heinrichs (eheinrichs2@unl.edu) would appreciate any good resolution images that colleagues would be willing to submit for adding to the key – with due acknowledgement

IRRI arthropod key

West African arthropod key

© Copyright International Association for the Plant Protection Sciences. All rights reserved 2022.

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Insect DNA barcoding results delight UniSC entomologist

  • Education
  • 14 Nov 2022 2:18 pm AEST

University of the Sunshine Coast

Insect DNA barcoding results to be released publicly today show exciting progress in the tri-state Insect Investigators project, coordinated across regional Queensland by a UniSC entomologist.

“I’m absolutely blown away by the results to date, and by the enthusiasm of school students and teachers to engage in insect research,” said insect ecology researcher Dr Andy Howe of the University of the Sunshine Coast’s Forest Research Institute.

Seventeen Queensland schools (listed below) are among 50 schools involved in the ongoing citizen science project, led by the South Australian Museum.

Only about 30 percent of the estimated 225,000 insect species in Australia are formally named and described.

Thousands of new insects have now been successfully recorded in the project, which connects regional and remote school students with researchers to learn about Australia’s rich biodiversity.

Beerwah State High School was among those that set a Malaise trap on their grounds in March to collect and monitor local insects over a four-week period. It was one of many that Dr Howe has visited across the state to provide updates on insect species through the taxonomic process.

“It makes so much sense to engage our schools in research on insect taxonomy; schools are located throughout many environment types, which means they can collect a huge diversity of insects, simultaneously,” Dr Howe said.

“We can then use the data to not only name undescribed species, but importantly contribute to distribution maps of thousands of insects and spiders, which contributes to managing the environment sustainably.”

Overarching project leader Dr Erinn Fagan-Jeffries said more than 14,000 insect specimens were selected to be DNA barcoded by the Centre for Biodiversity Genomics at The University of Guelph in Canada, and today the DNA barcoding results will be released.

Dr Fagan-Jeffries said DNA barcoding involved sequencing a small section of the genome and using the variation among these barcodes to discriminate species.

“While the gold standard is always going to be identifying and describing insects using DNA data in combination with their physical characteristics, the DNA barcodes provide a fast and cost-effective way of shining a light on the remarkable diversity of insects in Australia that we know so little about,” she said.

Through Insect Investigators, participating schools have added more than 12,500 new DNA barcodes to the international online repository, the Barcode of Life Database.

The variation among these barcodes suggests that there are more than 5,000 different species present among the specimens, and just over 3,000 of those are brand new records on the database.

Each of these DNA barcodes relates back to an individual insect specimen that will be deposited in the entomology collections at the South Australian Museum, Queensland Museum and the Western Australian Museum.

Taxonomists from around Australia will then be able to examine and determine if they represent undescribed species.

“It is highly likely that all contributing schools have found species new to Western science which is really exciting, but how many of these species we are actually able to describe is dependent on the resources and support available for taxonomy,” said Dr Fagan-Jeffries.

“Despite there currently being many more insect groups than taxonomists, we are hopeful that the taxonomists will be able to spot some new species that can be described, and in those cases, the students will then be invited to name the unique species that they have discovered.”

Participating Queensland schools:

  • ​Back Plains State School
  • ​Beerwah State High School
  • ​Belgian Gardens State School
  • ​Blackall State School
  • ​Cameron Downs State School
  • ​Columba Catholic College
  • ​Gin Gin State High School
  • ​Glenden State School
  • ​Kogan State School
  • ​Mornington Island State School
  • ​Mount Molloy State School
  • ​Prospect Creek State School
  • ​Springsure State School
  • ​St Patrick’s Catholic School, Winton
  • ​Tamborine Mountain State School
  • ​Yeppoon State High School
  • ​Yeronga State School

Dr Howe, whose PhD in 2016 examined an exotic ladybird in Denmark, said students enjoyed the information in his talks, designed to be entertaining as well as inspiring.

He said increasing Australia’s knowledge of its insect species could have benefits ranging from better management of the environment and effects of climate change and natural disasters to controlling pests and developing new medicines.

The DNA barcoding results will be released on the website https://insectinvestigators.com.au.

Insect Investigators received grant funding from the Australian Government, is led by the South Australian Museum, and involves 17 partner organisations.

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A new way to name bacteria: 300-year-old system revised thanks to scientific advances

Published: October 27, 2022 10.41am EDT


  1. Stephanus Nicolaas VenterProfessor in Microbiology and Deputy Director of the Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria

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Stephanus Nicolaas Venter receives funding from the National Research Foundation and the Water Research Commission. He is currently a member of the organizing committee of the SeqCode Initiative and a member of the Committee on Systematics of Prokaryotes.


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Prokaryotes are single-celled organisms without nuclei and are commonly known as bacteria. Ichigomaru/Shutterstock






Nearly 300 years ago the Swedish botanist Carl Linnaeus secured his place in scientific history when he created what’s known as the binomial system. The year was 1737 and, due to the large diversity of plants and animals collected by naturalist explorers in different parts of the world, Linnaeus saw the need to develop a logical system to classify and group this material in a systematic way.

It’s a system that’s stood the test of time – his basic formula is still in use.

The naming convention applies to all biological organisms: plants, animals and bacteria. Each species receives a name consisting of two parts. The genus name is similar to a surname; all species that share this name are closely related. The second name is unique for each species within the genus. This combination creates a unique name for any described organism. Well known examples include Homo sapiens (modern humans) and Escherichia coli (bacteria).

One of the main benefits of assigning universally accepted distinct names is that it helps people, and particularly scientists, to clearly communicate about a specific organism, regardless of language or geographic barriers. Another boon is that unique names link all the available information on a species together. It also helps scientists to understand shared characteristics and relationships between organisms.

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Naming decisions are not made in a vacuum. Although ideas of what species are and how to recognise them have developed over the past 300 years, the naming system as proposed by Linnaeus remained unchanged.

There are “rule books” for the naming of organisms, generally referred to as “codes”. There are different codes for naming animals, plants, algae and fungi, viruses and bacteria. The Botanical Code, which initially also dealt with bacteria, was first developed in 1867 and is revised every six years during the International Botanical Congress. The Bacterial Code was first published as a separate document in 1947 and was updated this year by the International Committee on Systematics of Prokaryotes.

But the existing code was not enough to deal with advances in technology that have changed how prokaryotes can be studied. So, a new, complementary code has been introduced.

A stable system

If the description of a new species meets all the requirements set out in the rules in the relevant code, the name will be validated – made permanent.

Each new species is also linked to type material: something concrete to compare other individuals against. The type can be represented by museum or herbarium examples, living cultures or even drawings.

But this system doesn’t work well for prokaryotes. These single cell organisms, which don’t have nuclei, are commonly referred to as bacteria (though they also include the Archaea, a group of micro-organisms that are similar to but distinct from bacteria). Prokaryotes are named under the International Code of Nomenclature of Prokaryotes.

Unlike other disciplines’ naming rule books, this code is strict about type material: only a pure culture of the bacterium, available from collections in two different countries, counts as type material. But there’s a problem: most bacteria still can’t be grown in pure culture, on its own in a Petri dish in the laboratory.

Read more: Following a fungus from genes to tree disease: a journey in science

This means that, under the code, they could not be named.

A new initiative, SeqCode, will change the game by allowing DNA sequencing data to serve as the type. I was one of several biologists around the world involved in creating the SeqCode and I believe it is a great achievement.

A formal and stable naming system for all bacteria will help science to unlock the hidden potential of the planet’s biodiversity and to understand their role in the functioning of ecosystems. It will also help scientists to communicate their findings to each other – a big step towards perhaps identifying the next generation of antibiotics or cancer treatment.

Genome sequencing

It’s not known how many prokaryotic species there are – there could be millions or trillions. But so far only around 18,000 have been given permanent (valid) names. The increasing ubiquity of genome sequencing is an opportunity to change this. Rather than having to grow a prokaryotic species in a laboratory to then study and describe its characteristics, biologists can now sequence the organisms’ DNA directly from an environmental sample to obtain a complete or near complete genome. The genome is the DNA blueprint of the bacterium which encodes all the functions the organism will be able to perform.

Read more: Why African scientists are studying the genes of African species, and how they do it

The sequence data is stable enough and adequate to be used to recognise other members belonging to the same species.

In 2018 an international group of bacterial taxonomists and ecologists attended a workshop in the US, funded by the US National Science Foundation, to discuss the future of bacterial taxonomy. The attendees recognised that genome sequencing was a good, scientifically sound way to give many prokaryotes permanent names. This idea was supported by many other microbiologists around the world.

However, a proposal to change the existing code to allow genome sequences as types was not accepted by the International Committee on Systematics of Prokaryotes. With the support of the International Society for Microbial Ecology, some of the meeting attendees began discussing other possibilities.

The idea of an entirely separate code for naming genomically described prokaryotes emerged. Wide consultation followed and, in September 2022, SeqCode – or, to give it its full name, the Code of Nomenclature of Prokaryotes Described from Sequence Data, was launched.

This doesn’t replace the existing code. Bacteria can still be named under the Bacterial Code when a pure culture is available.

It is possible that, in coming years, similar adjustments might be made to – or new codes created for – naming other genomically described micro-organisms such as yeasts and other fungi.

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Corteva Agriscience8-05-22 AGRONOMY_PHOTOS_Corn_9923-lowres.jpg

Apply fungicide before Tar Spot finds a place in your corn field.

Corteva Agriscience | Aug 15, 2022


Tar spot is top of mind for many Corn Belt farmers. Caused by the fungal pathogen Phyllachora maydis, tar spot reduces yield potential by affecting the photosynthetic capacity of leaves and causing rapid premature biological aging or leaf senescence.

Initial symptoms include small brown lesions that darken with age. Early signs of tar spot can be mistaken for insect feces. Tar spots (stroma) are embedded in leaf tissues and are often visible on the underside of the leaf. The texture of the leaf often becomes bumpy and uneven when the fruiting bodies are present. This foliar disease may be difficult to find if infections develop in patches in the middle of a field.

Related: Quick Take: Big Bud at FPS, new checkoff boards, field days

“Tar spot scouting begins with looking into the canopy and using the sun to look for shadows on the underside of the leaves,” said Kevin Fry, a Pioneer Field Agronomist in Pennsylvania.

Ideally, a fungicide application should be made before tar spot is firmly established. Once identified, tar spot can be difficult to stop. Applying fungicide between VT and R4 can help keep tar spot at bay.


For fields with a history of tar spot, a second fungicide application later in the season can offer additional protection. Duration of leaf surface wetness appears to be a key factor in the development and spread of the disease. Scouting fields after rain events can help growers spot tar spot sooner.

“Tar spot will persist with the wet, humid weather,” Fry said. “Growers should continue walking their fields and looking for tar spot.”

Source: Corteva Agrisciencewho is solely responsible for the information provided and is wholly owned by the source. Informa Business Media and all its subsidiaries are not responsible for any of the content contained in this information asset. 



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Armyworms inactive despite rain, cool front

Bart Dreesbart-drees-fallarmyworm.jpg

Fall armyworms can be devastating to hayfields and pastures due to their appetite for green grass crops.

Texas Crop and Weather Report – June 2, 2022

Adam Russell | Jun 03, 2022


Texas forage producers are facing high fertilizer prices, but Texas A&M AgriLife Extension Service experts do not expect they will face an early outbreak of fall armyworms.

David Kerns, AgriLife Extension state integrated pest management specialist and professor in the Department of Entomology, said recent weather has not created conditions for the early migration of the devastating pest experienced in 2021.

Populations typically build following large rain events and cooler weather. But Kerns said there is no indication that armyworm populations are building in southern areas of the state following recent weather systems that dropped temperatures and delivered moisture.

Fall armyworms’ name is indicative of their active season, but cool, wet weather can trigger outbreaks, Kern said. Populations of armyworms, which are extremely damaging to forage production, typically begin increasing sometime between July and September.

“Fall armyworms typically build up in southeastern Texas, and the moths move northward throughout the eastern half of the state,” he said. “Last year, with all the spring and summer rains, that buildup occurred earlier than usual, but conditions are much drier this year despite the recent storm fronts.”


No reports of armyworms so far

Fall armyworms are green with brown or black colorations and can be identified by the white inverted Y on their head. They can grow up to 1 inch in length when mature.

The pest got its name because they appear to march army-like across hay fields, consuming the grass in their path.

Armyworm moths can lay up to 2,000 eggs that hatch in two to three days, according to a 2019 report by Allen Knutson, AgriLife Extension entomologist, retired.

Vanessa Corriher-Olson, AgriLife Extension forage specialist, Overton, said there are four to five generations that move throughout the state per growing season. They typically move north from Mexico and South Texas as temperatures warm in the spring. Generations will push further north into midwestern states, but moths and larvae remain present throughout the state.

Drier, hotter conditions slow their life cycles, Corriher-Olson said. Moths lay fewer eggs and caterpillar growth is slowed. But rainfall and cooler temperatures can trigger major infestations when local populations, new hatches and migrating moths descend on areas with quality food sources.

Corriher-Olson said continued drier conditions overall in southern parts of the state are likely to curb any early issues forage producers may have experienced in 2021.

“I have not received any reports or phone calls, and that tells me populations in areas where the armyworm migration begins have not reached any level of concern,” she said.

No problem until there is a problem

Corriher-Olson said producers typically react to fall armyworm outbreaks when they occur, which has led to product availability issues during the pandemic. She noted, however, that she had not received any reports about insecticide shortages to date.

“Many producers take a reactionary approach to armyworms because of the expense,” she said. “Some producers may have products on hand that are left over from last year, but most are going to be monitoring the situation to their south and plan accordingly.”

Kerns said conditions may not be shaping up for armyworms at this point in the forage production season, but producers with Sudan grass, hay grazer and other forages related to sorghum should be on the lookout for sorghum aphids, also known as sugarcane aphids.

While armyworms prefer wetter, cooler weather, sorghum aphids prefer hot, dry conditions, he said. There have been reports of the aphids in grain sorghum fields in South Texas.

Aphids feed on leaves and leave a sap that further damages the plant, and major infestations can greatly impact forage yields.

Corriher-Olson said forage pests like fall armyworms and aphids are always a threat to producers’ bottom lines, but yield losses could magnify their impact on budgets due to higher input costs, especially fertilizer applications.

Many forage producers are forgoing or reducing fertilizer applications, which could impact where infestations build, she said. Fall armyworms will settle on any green pasture, but they prefer lush, fertilized forages.

“Fertilized fields are more at risk to be damaged,” she said. “So, when it comes to armyworms, we don’t want to see a producer spend money to produce quality forage and have armyworms destroy it.”

AgriLife Extension district reporters compiled the following summaries:


The 12 Texas A&M AgriLife Extension Districts


Rainfall amounts were from 1.5-3 inches. The rains helped the soil moisture profile, but more rain was needed to fill stock tanks. There was very little green grass in pastures. Wheat harvest continued in the little bit of wheat worth combining. Yield reports ranged from 3-25 bushels per acre. Supplemental hay feeding of cattle continued.


Southern parts of the area reported showers that produced trace amounts to 2 inches of rain. Crops with irrigation looked good, but dryland producers were concerned about crop losses. Cotton benefitted the most from rain, but more moisture will be needed to see good yields. Corn and grain sorghum were drying down and any moisture would probably only help with the kernel weight. Rangeland and pastures showed a slight color change with rain, but not much growth occurred, and conditions remained poor to fair. Livestock were still in a decline and receiving supplemental feed. Hay supplies were dwindling. More cattle producers were weaning early and culling out poor producing cows. Cattle market prices remained high.


Recent rains helped, but soils dried quickly. Pasture and rangeland conditions were fair. Subsoil and topsoil conditions were short to adequate. Hay production continued. Yields were much lower than normal as producers reduced fertilizer applications due to higher input costs. Harrison County reported problematic fly populations. Livestock were in fair to good condition.   


Producers received another significant rainfall shower this week across the county. Rainfall totals ranged from 0.5 inches to 2 inches. Some large hail was also mixed with the heavier rain. Cooler temperatures helped conditions. Rain was in the forecast. Cotton planting was in full swing with about 80% of acres planted so far. More rain will be needed for decent cotton, corn and sorghum yields. Pumpkin farmers started planting. Cattle were being supplementally fed. The recent rainfall helped pastures a little.


Soil moisture conditions were very short to short. Recent rains helped irrigated crops like wheat, corn and cotton some. Earlier planted corn was up and growing, but some silage corn plantings were still on hold. Cotton was already planted or going in, but producers were not optimistic about yields. Rangeland and pasture conditions improved, but much more rain will be needed to sustain a green-up. Overall, rangeland and pasture conditions remained poor, and crop conditions were poor to fair.


Soil moisture ranged from adequate to short. Warmer temperatures and higher wind speeds dried up soil moisture. Corn, cotton and soybeans were doing well. Early planted corn was tasseling. The wheat harvest began, and fields looked good. No widespread insect or disease pressure was reported. Pasture and rangeland conditions were fair to good and had improved slightly following recent rainfall. The first hay harvests of Bermuda grass, ryegrass, Bahia grass or oats were cut and rolled without issue this year. This was the first early forage harvest in the past few years not delayed by rainfall or wet conditions. Cattle were in good to excellent condition. Horn and stable flies were increasing significantly, and horseflies and deerflies were worsening. Spring calves appeared to be gaining well. Supplemental feeding continued for livestock and wildlife, and forage quality looked poor. Rainfall will be necessary for continued forage production. Some hay producers were considering transitioning pastures to native forage production due to lack of rain and increased fertilizer costs.


Weather was variable. A cold front dropped temperatures into the 40s and brought rainfall, hail and dust storms that took visibility to zero, but temperatures quickly returned to the 90s. A very narrow band of storms left trace amounts of rain up to 1.5 inches. Hail damage to farm equipment, barns, trees and residences was severe. Emerged cotton was hailed out. Cotton, especially Pima fields, looked good in other areas. Corn continued to make progress, but heat was starting to take its toll. Melons looked good and were making good progress. Pecan trees were coming along nicely and set a good crop. Some pecan nut casebearer pressure was reported. Alfalfa looked decent. Pastures remained completely bare. Cattle conditions continued to worsen, and some ranchers completed weaning.


Thunderstorms delivered from 1.5-3 inches of rainfall to most areas. Forages perked up with the moisture, but temperatures in the 90s and windy days could impact moisture retention. Some farmers harvested wheat last week, but yields were poor. Cotton outlooks were looking slim as well. Herd liquidation was slowly happening. Some producers with hay chose to feed through drought, but many were selling off their herds. An ongoing wildfire near Abilene was under control, but not before it burned 10,900 acres.


Heavy rains helped soil moisture levels. Some hay was cut, and rice was fertilized. Forages were growing and producers in several areas cut their first hay crop with no pests reported. Rains slowed crop planting in some areas. Rice planting was not complete. Some areas remained dry and reported declining pasture, rangeland and crop conditions. Rangeland and pastures ranged from very poor to excellent condition. Soil moisture levels were short to surplus.


Some areas received 0.75-3 inches of rain. The rainfall helped alleviate the drought stress for crops that survived to this point. Hot temperatures persisted and pastures looked overgrazed. Wheat and oat harvests were complete with below-average yields reported.  Irrigated corn looked good, and cotton was doing well. Producers eased up on supplemental feeding due to the recent rains, but pasture conditions continued to decline in drier areas. Mesquite spraying was underway. Diet supplementation continued for livestock and wildlife, and forage production looked poor. Irrigated hay fields were in good condition.


Moisture levels in northern areas were very short, while eastern and western areas reported short to adequate soil moisture. Southern areas reported adequate to surplus moisture. Most areas reported rainfall with amounts ranging from 0.3-8 inches. Pastures and rangelands responded well to the moisture. Livestock conditions were improving and producers were decreasing supplemental feed. Cattle prices remained strong. Cattle producers in drier areas continued to provide supplemental feed to maintain body condition scores. Producers who planted hay grazer before the rains were expecting good growth. Significant rain missed croplands in northern parts of the district. Row crops and forages in areas that received rain were expected to improve significantly. Irrigated crops like watermelons, cantaloupes and Bermuda grass looked good. Cotton was expected to respond well to the moisture. Flooding and hail damaged some crops. Hail damaged around 5,000 acres of grain, sesame, sunflowers, watermelons and corn. Sorghum aphid pressure increased, and weeds were becoming an issue as fields were too wet to spray.

Source: is AgriLife TODAY, which is solely responsible for the information provided and is wholly owned by the source. Informa Business Media and all its subsidiaries are not responsible for any of the content contained in this information asset.


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Mite-y Waist: Correcting a 60-Year Error in Mite Morphology


Much of mite biology is clouded in mystery—even the delineation of their body segments. A new study upends a 60-year-old model for the proper location of mite “waists.” Shown here is a scanning-electron microscope image of a Proteonematalycus wagneri female mite. (Image by Sameul Bolton, Ph.D.)

By Samuel Bolton, Ph.D.

Samuel Bolton, Ph.D.

Most people are surprised to find out that mites live in more places than just inside their mattress or on their pets. But what we acarologists know about mites is, comparatively speaking, not so much more, for there is still a tremendous amount that we have yet to discover about these arthropods.

For example, our knowledge of global mite biodiversity is so meager that estimates of the total number of undescribed species of mites range across nearly two orders of magnitude—from 500,000 to 40 million. And our ignorance extends to some fairly basic aspects of mite biology. There are still competing ideas over the correct body plan for all mites. (See video, below.)

There is even a controversy over where one major body region ends and another begins. This particular controversy interests me because it illustrates how an influential idea can persist long after evidence comes to light that shows it is likely in error. When a bad idea becomes highly influential, often because the originator is influential or because the idea has aesthetic appeal, it can endure for long enough to become entrenched within the culture of a scientific community.

Mites are arachnids, and that means that they have a body that is divided into a prosoma (the limb-bearing region at the front) and opisthosoma (the limbless region at the back). To keep things simple, I will call the border between the prosoma and the opisthosoma the “waist.” This is apt because in most arachnids there is a waist-like constriction between the prosoma and opisthosoma, which makes it very easy to tell where the prosoma ends and the opisthosoma begins. But almost all mites lack such a visible waist.

In 1963, a well-known acarologist, Leendert van der Hammen, published a hypothesis on where the waist is positioned in mites. He proposed that the waist is delineated by a furrow, present in some mites, that runs obliquely from the top of the body to an area just behind the rear pair of legs (see Figure 1, top). However, there are other mites, such as Micropsammus, that have a body with a vertical furrow that looks a lot more like a waist (see Figure 1, bottom). The dorsal part of the vertical furrow is in a different segmental position to that of the oblique furrow. It is therefore not possible that the vertical furrow has reorientated to become the oblique furrow or vice versa, and so only one of these furrows can be the waist.

A model of a mite (top) shows the oblique furrow that Leendert van der Hammen thought was a “waist,” or the division between prosoma (the limb-bearing region at the front) and opisthosoma (the limbless region at the back). The image of a Micropsammus sp. mite (bottom), however, has a vertical furrow that looks a lot like a waist. (Image by Sameul Bolton, Ph.D.)

Most acarologists treat van der Hammen’s oblique furrow as the true waist. However, van der Hammen’s interpretation was based on oribatid mites, which have highly modified morphologies for defense, and so the oblique furrow seems more likely to be the result of a defensive modification than a true waist. Why, then, is his interpretation still widely accepted? One reason is that this is another example of a persistent and influential idea that is long overdue for retirement. Another reason is that almost all species of mites lack visible body segments. The waist is a segmental border that divides the prosoma from the opisthosoma. Without a series of clearly delineated segmental borders, it is difficult to know which of the two furrows is definitely a waist.

There is one mite, however, that does very clearly show its body segments, especially on the part of the body where the waist is. Proteonematalycus wagneri, which has been collected on no more than a handful of occasions, has been examined only very rarely. The description of P. wagneri, which is more than 30 years old, includes drawings of a segmented body that starkly contradicts van der Hammen’s interpretation. Drawings can sometimes be misleading, though. In a paper published in February in PLOS ONE, I analyze new detailed images of P. wagneri, which more clearly illustrate the flaw in van der Hammen’s hypothesis and offer a new model for mite body segmentation.

As seen in this image of a Proteonematalycus wagneri adult female mite, the oblique furrow is absent and so it cannot be the true waist. (Image by Sameul Bolton, Ph.D.)

The image in Figure 2 shows that P. wagneri has a segmental border that is in exactly the correct position and orientation to correspond with the vertical furrow of Micropsammus (Figure 1, bottom). That border is the true waist, not only because it divides the prosoma from the opisthosoma, but also because there is no sign of the oblique furrow. If you can clearly see the body segments but the oblique furrow is nowhere to be seen, that can only mean that the oblique furrow does not correspond with a segmental border, and so van der Hammen was clearly wrong about that furrow being the waist.

But why is it so important to know where the waist is? Well, as I mentioned above, the waist delineates the boundary between two major body regions, the prosoma and opisthosoma. If the oblique furrow were the true waist, it would mark out mites as very unusual compared to other arachnids. In an important way, Proteonematalycus wagneri shows that mites are not quite as weird as we had thought.

In fact, the position of the waist was correctly determined more than a century ago . But over the past half century, countless papers, including my own, have mislabeled characters as opisthosomal when they are prosomal. Almost 60 years of confusion and debate, all caused by one very influential paper that was written by one very influential acarologist. Oh, what a mitey waist.

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Proteonematalycus wagneri Kethley reveals where the opisthosoma begins in acariform mites


Samuel Bolton, Ph.D., is curator of Acari at the Florida State Collection of Arthropods, in the Florida Department of Agriculture and Consumer Services’ Division of Plant Industry. Email: samuel.bolton@fdacs.gov.

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Crop leaf disease identification based on ensemble classification

Livestock and horticulture are well-known contributors to the global economy, particularly in countries where farming is the sole motivation for income. Yet, it is regretful that infection degeneration has affected this. Vegetables are a significant source of power for people and animals. Leaves and stems are the most common way for plants to interact with the surroundings. As a consequence, researchers and educators are responsible for investigating the problem and developing ways for recognizing disease-infected leaves.

Growers everywhere across the world will be able to take immediate action to avoid their produce from getting heavily affected, so sparing the globe and themselves from a potential global recession. Because manually diagnosing ailments might not have been the ideal solution, a mechanical methodology for recognizing leaf ailments could benefit the agricultural sector while also enhancing crop output. The goal of this research is to evaluate classification outcomes by combining composite classification with hybrid Law’s mask, LBP, and GLCM.

The proposed method illustrates that a group of classifiers can surpass individual classifiers. The attributes employed are also vital in attaining the best findings because ensemble classification has demonstrated to be much more reliable.

Read the complete research at www.researchgate.net.

Kaur, Navneet & V, Devendran & Verma, Sahil. (2021). Crop leaf disease identification based on ensemble classification. 

Publication date: Fri 10 Dec 2021

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From Mapping to Management: A Revision of Soybean Caterpillar Pest Information for U.S. Soybean


Lepidopteran pests of soybean—such as the green cloverworm (Hypena scabra), shown here—are growing in importance in the U.S., and a pair of articles in the Journal of Integrated Pest Management provides updated guidance on biology, distribution, and management options for five leading caterpillar pests of soybean. (Photo by Adam Varenhorst)

By Erin Hodgson, Ph.D., and Anders Huseth, Ph.D.

Anders Huseth, Ph.D.

Erin Hodgson, Ph.D.

There never seems to be a dull summer when you’re an extension entomologist of field crops. Like Coolio said, there is always “sumpin’ new” happening in agriculture. Fluctuating pest populations and invasive species make our jobs interesting. Add in new chemistries and technology updates, and it’s hard to keep up with everything.

When a pest does establish and become a problem, we want to provide accurate identification and timely management recommendations. Unfortunately, many of our tried-and-true resources are becoming out of date. New extension folks have been especially frustrated by a lack of current resources. In particular, there is not enough current information on caterpillars feeding in soybean, though these pests are becoming more economically important in the U.S. and around the world. So, a few of us decided to create an update for some of the most prominent species in U.S. soybean. We represent five states spread across the nation: Florida, Iowa, Louisiana, Minnesota, and North Carolina.

caterpillar pests of soybean
corn earworm (Helicoverpa zea)
thistle caterpillar (Vanessa cardui)

To start, we surveyed field crop entomologists in all soybean-growing states to better understand current pest occurrence and abundance in soybean (approximately 83 million acres). We compiled data from all 31 soybean-producing states during the winter of 2020. Data indicated five species that consistently bubbled to the top of the list: green cloverworm (Hypena scabra), soybean looper (Chrysodeixis includens), corn earworm (Helicoverpa zea), velvetbean caterpillar (Anticarsia gemmatalis), and painted lady (Vanessa cardui, also known as thistle caterpillar in its larval form).

After summarizing survey information, we decided to write profiles on these species to improve identification, distribution, and scouting guidelines. Our group used older research and recent field observations to develop profiles of these key pests. Last, we wanted to focus on management, especially highlighting insecticide resistance issues starting to become prominent in some states. The results of this work are shared in two articles published earlier this year in the Journal of Integrated Pest Management—one on identification and biology and another on distribution and population persistence—with a third article still in the works.

Results from our survey provide a contemporary assessment of distribution and persistence of lepidopterans in soybean. Like the aforementioned rap artist says, field crop extension entomology is a “fantastic voyage,” and we hope the articles help provide updated information for caterpillar identification and management.

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Identification and Biology of Common Caterpillars in U.S. Soybean

Current Distribution and Population Persistence of Five Lepidopteran Pests in U.S. Soybean

Journal of Integrated Pest Management

Erin Hodgson, Ph.D., is a professor and extension entomologist at Iowa State University. Email: ewh@iastate.eduAnders Huseth, Ph.D., is an assistant professor and extension specialist at North Carolina State University. Email: ashuseth@ncsu.edu.

Soybean Gall Midge: Discovery of a Delicate and Destructive New Species

March 9, 2021

New Guide Offers IPM Tips for Japanese Beetles in Soy and Corn

April 29, 2019

Learnings From Latin America: Potential Risk of Helicoverpa armigera to U.S. Soybean Production

February 1, 2021

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