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Each year, crop diseases cause devastating losses in agricultural production, threatening food security and the livelihoods of millions of farmers. In the heart of Alentejo, an innovative project is harnessing the power of genomics to help combat these invisible threats. The AlViGen Project, with the participation of InnovPlantProtect researchers Rute Rego and João Bilro, is paving the way for a new era of crop surveillance and protection.

The Problem and the Solution

“Yellow rust in wheat and olive quick decline syndrome are real scourges for farmers,” explains Rute Rego, a researcher at AlViGen. “These diseases can decimate entire harvests, leading to severe economic losses and compromising food quality.”

But AlViGen is not limited to observing the problem. The team is using cutting-edge technology to detect and identify the strains of fungi that cause these diseases, long before the symptoms become visible.

“We use traps to collect spores circulating in the air,” Rute continues. “These traps allow us to monitor the presence of fungi in real-time, which gives us an important advantage in preventing infections.”

But the magic happens in the laboratory, where the team extracts the DNA from the spores and performs advanced genomic analyses, using powerful DNA sequencing technology based on the metabarcoding method, carried out with cutting-edge technology like the portable Nanopore sequencer.

Rute Rego, a researcher at InnovPlantProtect, analyzes samples of the fungus causing olive quick decline syndrome as part of the AlViGen project.

Unraveling the Genetic Code of Fungi

To better explain what metabarcoding is and its advantage in detecting the presence of species or strains of fungi that cause diseases in crops, the researcher gives the example of a bag full of different types of grains - rice, beans, corn - being analyzed by the reader. “Metabarcoding is like placing a unique label (a ‘barcode’) on each type of grain. Then, you can mix all the grains in a single sample, and by reading the labels, you can identify the quantity of each type of grain present.'”

In the case of AlViGen, this technique allows for the analysis of multiple fungal species simultaneously (in multiple samples), each with its own genetic ‘barcode,’ and to ‘identify exactly which fungi are present, even in small quantities,'” the researcher explains.

And what is the practical impact of this method for monitoring and predicting disease? The AlViGen project researcher can identify, with high precision, the moment when the pathogenic agent begins to appear in the field, which makes it possible to alert farmers in real-time about the risk of disease. Producers can adopt preventative measures and apply the necessary products to avoid infection, contributing to a rapid and effective response in disease prevention.

The Timeline of Fungal Evolution

AlViGen's research is not limited to identifying the microorganisms harmful to crops; it also seeks to understand their evolution and diversity. João Bilro, another researcher on the project, is dedicated to studying the phylogeny of the Colletotrichum fungus, a microorganism responsible for causing olive anthracnose or blight, a disease that affects olive groves in Portugal. This disease mainly affects the olives, which compromises the quality of the olive oil.

“Phylogeny is crucial for understanding how the different strains of Colletotrichum Just as a family tree traces the history of a family, showing how members are related to each other, phylogenetic trees reveal the evolutionary relationships between the different strains of this fungus. Each branch of the tree represents an evolutionary lineage, and the nodes indicate common ancestors. By comparing the DNA sequences of these strains, we can reconstruct their evolutionary history, identifying which are genetically closer or more distant, and thus infer characteristics such as virulence or resistance to fungicides,” he reveals.

This knowledge allows researchers to identify patterns of dissemination and adaptation of the fungus, which is fundamental for developing more effective strategies to contain and/or reduce the damage this fungus causes to Portuguese olive groves.

“One of the challenges of our research is the great genetic diversity of the Colletotrichum,” admits João. “However, by uncovering their evolutionary secrets, we are paving the way for the development of more precise and targeted detection and control methods.”

Left photo: João Bilro, a bioinformatician at InnovPlantProtect, studying the phylogeny of the Colletotrichum fungus within the scope of the AlViGen project; Right photo: Rute Rego and João Bilro discuss ideas about the AlViGen project.

The Future of Agriculture Starts Here

The AlViGen Project aims to have a significant impact on the agricultural landscape, especially in Alentejo, a region with a strong agricultural tradition. By providing farmers with early detection tools and precise information about the microorganisms that cause crop diseases, the project intends to aid in decision-making, allowing farmers to protect their crops and reduce production losses.

“Our ultimate goal is to empower farmers with the knowledge and tools they need to protect their crops sustainably,” states Rute. “We believe that genomic surveillance is a key tool for the future of crop protection.”

João Bilro agrees and adds, “Continuous research is fundamental to keep up with the evolution of harmful microorganisms and to develop new, consistently effective control strategies. In the future, we hope to expand the scope of AlViGen to include other microorganisms and crops, and to make genomic surveillance an accessible tool for all farmers.”

Science at the Service of Agriculture

The AlViGen Project, supported by the Promove Program of the “la Caixa” Foundation, in partnership with Banco BPI and the Foundation for Science and Technology (FCT), is an inspiring example of how science and technology can be applied to solve real-world problems and transform agriculture. By unraveling the genetic secrets of crop microorganisms, Rute Rego and João Bilro are paving the way for a safer, more sustainable, and resilient agriculture.

The fight against crop diseases continues, but with AlViGen, farmers can finally see the enemy before it becomes visible.

Every year, crop diseases cause devastating losses in agricultural production, threatening the food security and livelihoods of millions of farmers. In the heart of the Alentejo, an innovative project is using the power of genomics to help combat these invisible threats. The AlViGen Project, with the participation of InnovPlantProtect researchers Rute Rego and João Bilro, is paving the way for a new era of crop surveillance and protection.

The Problem and the Solution

“Yellow rust on wheat and gafa in olive groves are real scourges for farmers,” explains Rute Rego, a researcher at AlViGen. “These diseases can wipe out entire harvests, leading to severe economic losses and compromising food quality.”

But AlViGen isn't just observing the problem. The team is using cutting-edge technology to detect and identify the strains of fungi that cause these diseases, long before the symptoms become visible.

“We use traps to collect spores that circulate in the air,” continues Rute. “These traps allow us to monitor the presence of fungi in real time, which gives us an important advantage in preventing infections.”

But the magic happens in the laboratory, where the team extracts DNA from the spores and carries out advanced genomic analysis using powerful DNA sequencing technology based on the metabarcoding, The Nanopore portable sequencer is a state-of-the-art technology.

Rute Rego, InnovPlantProtect researcher, analyzes samples of the fungus that causes gafa, as part of the AlViGen project.

Unlocking the genetic code of fungi

To explain more about metabarcoding and its advantage for detecting the presence of species or strains of fungi that cause diseases in crops, the researcher gives the example of a bag full of different types of grain: rice, beans, corn, which is being analyzed by the reader. “Metabarcoding is like putting a unique label (a ‘barcode’) on each type of grain. You can then mix all the grains into a single sample and, by reading the labels, you can identify the amount of each type of grain present.”

In the case of AlViGen, this technique makes it possible to analyze multiple species of fungi at the same time (in multiple samples), each with its own genetic ‘barcode’ and “identify exactly which fungi are present, even in small quantities”, explains the researcher.

And what is the practical impact of this method for monitoring and predicting the disease? The researcher of the AlViGen project is able to identify, with high precision, the moment when the pathogen begins to appear in the field, which makes it possible to alert farmers in real time to the risk of the disease. Producers can adopt preventive measures and apply the necessary products to avoid infection, contributing to a rapid and effective response to disease prevention.

The Timeline of Fungal Evolution

AlViGen's research is not limited to identifying microorganisms that damage crops; it also seeks to understand their evolution and diversity. João Bilro, another researcher on the project, is studying the phylogeny of the fungus Colletotrichum, This is a microorganism responsible for causing gafa or anthracnose, a disease that affects olive groves in Portugal. This disease mainly affects the olives, which compromises the quality of the oil.

“Phylogeny is crucial to understanding how the different strains of Colletotrichum are related and how they have evolved over time,” explains João. “Just as a family tree traces the history of a family, showing how the members are related to each other, phylogenetic trees reveal the evolutionary relationships between the different strains of this fungus. Each branch of the tree represents an evolutionary lineage, and the nodes indicate common ancestors. By comparing the DNA sequences of these strains, we can reconstruct their evolutionary history, identifying which ones are closer or more genetically distant, and thus infer characteristics such as virulence or resistance to fungicides,” he reveals.

This knowledge allows researchers to identify patterns of spread and adaptation of the fungus, which is fundamental to developing more effective strategies to contain and/or reduce the damage this fungus causes to Portuguese olive groves.

“One of the challenges of our research is the great genetic diversity of the Colletotrichum,” admits João. “However, by uncovering their evolutionary secrets, we are paving the way for the development of more precise and targeted detection and control methods.”

Photo from left: João Bilro, InnovPlantProtect bioinformatician, studying the phylogeny of the fungus Colletotrichum as part of the AlViGen project; Photo right: Rute Rego and João Bilro discuss ideas about the AlViGen project

The Future of Agriculture Starts Here

The AlViGen Project aims to have a significant impact on the agricultural landscape, especially in the Alentejo, a region with a strong agricultural tradition. By providing farmers with early detection tools and accurate information on the microorganisms that cause crop diseases, the project aims to help with decision-making, enabling farmers to protect their crops and reduce production losses.

“Our ultimate goal is to empower farmers with the knowledge and tools they need to protect their crops sustainably,” says Rute. “We believe that genomic surveillance is a key tool for the future of crop protection.”

João Bilro agrees and adds: “Continuous research is essential to monitor the evolution of harmful microorganisms and develop new control strategies that are always effective. In the future, we hope to expand the scope of AlViGen to include other microorganisms and crops, and make genomic surveillance an accessible tool for all farmers.”

Science at the Service of Agriculture

The AlViGen Project, supported by the Promove Program of the “la Caixa” Foundation, in partnership with Banco BPI and the Foundation for Science and Technology (FCT), is an inspiring example of how science and technology can be applied to solve real problems and transform agriculture. By unlocking the genetic secrets of crop microorganisms, Rute Rego and João Bilro are paving the way for safer, more sustainable and resilient agriculture.

The fight against crop diseases continues, but with AlViGen, farmers can finally see the enemy before it becomes visible.

On May 13th, the project team AI4Leafhopper presented the new application iCountPests, an innovative solution that uses Artificial Intelligence (AI) to detect and count green leafhoppers in chromotropic traps - quickly, accurately and in real time.

Developed as an intuitive mobile application, the iCountPests was designed to facilitate the monitoring of various agricultural pests. With a simple and accessible interface, it allows users to record the evolution of pests in their crops by submitting photographs of the traps installed in the field.

The application uses advanced computer vision models to automatically detect and count insects, delivering results in around a minute - a much faster and more practical process than traditional manual counting.

In its first version, the app already has a model for detecting the green leafhopper (Jacobiasca lybica), achieving an average accuracy of approximately 90%. Functionalities will soon be added to identify other relevant pests, such as curl moth (Cryptoblabes gnidiella) and grape moth (Lobesia botrana).

In addition to automatic counting, the iCountPests makes it possible to monitor the evolution of pest populations over time, making it easier to identify trends and plan more effective interventions.

This project is the result of a multidisciplinary team combining skills in ecology, entomology, artificial intelligence, computer vision, remote sensing and software development, with the aim of making pest monitoring simpler, more accurate and more accessible.

During the presentation session, it was possible to hear the opinions and suggestions of future users of the application. These contributions are essential if we are to continue to improve the tool and ensure that it responds in a practical way to the real needs of farmers and technicians in the sector. We want to develop solutions that evolve with agriculture!

Innovation is at the heart of everything we do and our motto is clear:
“Innovate together, protect better.”

If you want to know more about iCountPests, contact us by email:
📩 apps@iplantprotect.pt

Image credits: InnovPlantProtect

EVENTS

A equipa do InnovPlantProtect (InPP) esteve presente no Dia de Campo da cultura do arroz, promovido pelo Centro Operativo e Tecnológico do Arroz – COTArroz, e que decorreu no dia 7 de outubro, nas instalações do COTArroz, em Salvaterra de Magos.

Durante este dia de campo foram apresentadas as atividades de investigação e inovação desenvolvidas pelo COTArroz, com destaque para a obtenção de variedades portuguesas de arroz já inscritas no Catálogo Nacional de Variedades. A sessão contou ainda com a apresentação das tendências e novos mercados do setor orizícola nacional.

A Ministra da Agricultura e da Alimentação, Maria do Céu Antunes, participou também neste dia destacando o papel fundamental do COTArroz no desenvolvimento do Programa Nacional de Melhoramento de variedades do arroz, liderado pelo Instituto Nacional de Investigação Agrária e Veterinária – INIAV, IP, que contribui para o reforço da viabilidade do setor deste cereal.

A diretora de departamento Cristina Azevedo e os investigadores Pedro Rosa, Rupesh Singh e Tiago Amaro estiveram presentes no Dia de Campo do Arroz que decorreu no passado dia 7 de outubro

A Noite Europeia dos Investigadores animou a Praça do Giraldo, com 19 pontos e dezenas de investigadores. O InPP como não poderia deixar de ser, marcou presença nesta noite para celebrar a ciência.

A Noite Europeia dos Investigadores (NEI) 2022 teve como tema “Ciência para Todos, Sustentabilidade e Inclusão”. Durante a tarde e noite de 30 de setembro, o evento juntou na Praça do Giraldo dezenas de investigadores da Universidade de Évora e da região do Alentejo em 19 stands de instituições científicas. O objetivo foi dar a conhecer à sociedade a ciência que se faz, através de jogos, debates, demonstrações, workshops, desafios e experiências, numa noite que chamou a cidade à rua.

O stand do InPP foi o ponto de encontro entre os investigadores do InPP e todos aqueles que quiseram descobrir a ciência que é desenvolvida no laboratório colaborativo. Recebemos a visita de miúdos e graúdos, das mais variadas regiões do país, que vieram a esta festa da ciência para conhecer o trabalho desenvolvido pelos nossos investigadores, bem como para ter a oportunidade de conhecê-los de perto.

Desde caixas com cera, farinha, aveia, alimento para as várias fases do ciclo de vida da traça da colmeia, a placas de Petri com fungos e bactérias, das mais diversas cores, formas e feitios, foram várias as atividades nas quais os nossos visitantes puderam participar.

A equipa do InPP teve ainda a oportunidade de conversar com agricultores que partilharam algumas das dúvidas que tinham sobre as pragas e doenças das suas culturas.

Obrigado a todos pela visita e até para o ano!

Saiba mais sobre a participação do InPP na NEI 2022 here.

A Noite Europeia dos Investigadores ocorre todos os anos e tem o objetivo de partilhar o trabalho dos investigadores com o público em geral.

O InnovPlantProtect (InPP) esteve presente no evento final do SmartAgriHubs que teve lugar em Lisboa, de 26 a 28 de setembro. Este evento promovido pelo SmartAgriHubs, a maior rede de hubs de Inovação Digital na agricultura, foi dedicado ao reforço da colaboração entre os inovadores europeus e ao intercâmbio sobre a digitalização da agricultura europeia.

O evento foi composto por um dia exclusivamente reservado aos membros do projeto Horizon 2020 SmartAgriHubs (26 de Setembro) e de dois dias (27 e 28 de Setembro) abertos ao público com a participação de vários oradores do ecossistema europeu de inovação digital.

Os investigadores do InPP iLaria Marengo, Manisha Sirsat e Ricardo Ramiro representaram o laboratório colaborativo e tiveram a oportunidade de participar em várias atividades do programa composto por 44 workshops sobre agricultura de precisão, agricultura inteligente, dados, robótica e muito mais, 6 sessões plenárias, 19 pitches de projetos europeus financiados pelo Programa Horizon 2020, e várias atividades de networking.

O projeto DIMAP, liderado pelo InPP e o único projeto português aprovado no âmbito da linha PREPARE (uma linha que pretende apoiar a formação de consórcios que possam desenvolver experiências inovadoras relacionadas com a digitalização da agrigultura) do SmartAgriHubs, foi apresentado no primeiro dia do evento.

Saiba mais sobre o evento SmartAgriHubs here.

O SmartAgriHubs é uma rede de organizações que colaboram de modo a promover a digitalização do setor agro-alimentar e a interação entre diferentes atores deste ramo de atividade.

O projecto “DIMAP: A digital ecosystem for integrated disease management in pear orchards” visa reunir um consórcio para conceber uma experiência inovadora que permita detetar precocemente três das doenças mais importantes para a produção de pera: estenfiliose (causada pelo fungo Stemphylium vesicarium), fogo bacteriano (provocada pela bactéria Erwinia amylovora) e podridão branca das raízes (originada pelo fungo Rosellinia necatrix).