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kheti-buddy · 2 months

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Kheti Buddy: Making Farming Earth-Friendly and Easy

Introduction: Today, it’s crucial for businesses to farm in a way that’s good for our planet. Kheti Buddy understands this and wants to help make farming better.

Why Sustainable Farming Matters: Farms need to grow food in a way that’s good for the future. We want to be a friend to farmers, helping them make more money and farm in a way that’s good for the Earth.

KhetiBuddy’s Dream for Farming: We dream of a world where farms give us food always and don’t harm the Earth. They use smart tech to make farms better and help farmers do their job well.

Challenges in Farming Now: Farms today have some problems because they use too many chemicals and do the same thing for a long time. Kheti Buddy says we can fix this by using better ways to grow crops and taking care of the soil.

KhetiBuddy’s Helpful Service: Our plan is to make farming good and easy for everyone. They use smart tools to measure and track farm info. This helps farmers make good decisions and grow crops in a way that’s good for the Earth.

Conclusion: In a world where farming needs to be kind to the Earth, Kheti Buddy is the friend farmers need. They’re all about making farms better so we can have tasty food today and always. Let’s grow with us for a greener tomorrow!

#agriculture #agritech #agtech #farming #technology

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pixxelspace · 10 months

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Harnessing the Power of Hyperspectral Imaging in Agriculture

The field of hyperspectral imaging in agriculture is making significant strides, offering a wide range of benefits to the industry. Space technologies play a pivotal role in providing extensive coverage and with the application of hyperspectral imaging, offer crucial and granular insightsfor overall agricultural productivity.

This article discusses how this technology presents a valuable solution to tackle critical challenges faced by agricultural businesses, including crop health monitoring, yield improvement, pest detection, and nutrient content assessment.

Optimizing Crop Management and Yield Enhancement:

The agricultural sector faces several challenges regarding crop management and yield estimation and optimisation, while coping with a growing global population and declining natural resources. Traditional approaches to assessing crop and soil health are often labor-intensive, time-consuming, and lack accuracy, resulting in decreased productivity and adverse environmental impacts.

Hyperspectral Imaging utilizes its ability to capture a wide range of spectral bands to provide accurate and real-time information about the biochemical composition and health of crops. By providing precise information about variations in crop growth, nutrient imbalances, soil conditions, and early warnings for pest infestations and crop diseases, hyperspectral imaging empowers farmers and agronomists to make informed decisions and take timely actions.

Precise Weed Control and Nutrient Optimization:

One notable application of hyperspectral imaging is its ability to differentiate between crop species and weeds, facilitating targeted weed control measures, and reducing herbicide usage. By analyzing field-level details, farmers can observe changes in crop health and promptly address any issues.

Hyperspectral imaging also aids in monitoring nutrient content, pinpointing specific imbalances in plants or soil, enabling precise fertilization strategies, minimizing waste, and optimizing nutrient uptake.

Efficient Water Management, Effluent Monitoring, and Resource Conservation

Water scarcity and efficient water management, including effluent monitoring, are critical points of concern in modern agriculture. To address these challenges, hyperspectral imaging technology offers valuable insights and tools for optimizing water usage in agricultural systems.

By utilizing advanced sensors capable of capturing a wide range of electromagnetic wavelengths, hyperspectral imaging enables detailed monitoring of crop water stress, soil moisture levels, and irrigation needs. This capability enables farmers and agronomists to make data-driven decisions regarding irrigation scheduling, ensuring that water is applied precisely where and when it is needed.

By accurately assessing plant water status and optimizing irrigation practices, hyperspectral imaging helps conserve water resources, improve water use efficiency, and enhance crop productivity. Additionally, by integrating hyperspectral imaging data with other relevant parameters such as weather patterns and crop growth stages, farmers can develop predictive models and decision support systems for proactive water management, effluent monitoring, and resource conservation.

This holistic approach to water management empowers farmers to achieve sustainable agricultural practices, reduce water waste, and mitigate the impacts of water scarcity on crop production.

Early Disease Detection and Field Margin Monitoring:

Hyperspectral imaging contributes to early disease detection by analyzing the unique spectral signatures of crops, allowing farmers to proactively mitigate their spread and minimize crop losses. Additionally, hyperspectral imaging supports field margin monitoring, by providing valuable insights to assess and manage the health and biodiversity of these critical areas.

Furthermore, hyperspectral imaging assists in effluent monitoring, tracking, and managing agricultural waste and its environmental impact.

Precision Agriculture: Optimizing Crop Health and Variety Selection

In the realm of precision agriculture, hyperspectral imaging presents itself as a powerful tool for enhancing vegetation stress assessment and crop classification. By capturing data on stressors like water scarcity, nutrient imbalances, and pest infestations, hyperspectral imaging offers valuable insights into the overall health of crops. Armed with this information, farmers can proactively implement targeted mitigation measures to ensure optimal productivity.

Furthermore, the high spectral resolution of hyperspectral imaging enables accurate classification of different crop varieties based on spectral data analysis. This capability empowers farmers to effectively manage their fields, selecting the most suitable crop varieties for specific environmental conditions. By harnessing the precision of hyperspectral imaging, farmers can further optimize their operations, promote crop health, and maximize yields in the realm of precision agriculture.

Hyperspectral imaging is capable of addressing key challenges and providing valuable insights for efficient crop management. Embracing the potential of hyperspectral imaging is a vital choice for the agricultural industry to unlock its full range of benefits, leading to enhanced yields, improved pest detection, optimized nutrient assessment, efficient soil health evaluation, accurate disease detection, meticulous field margin monitoring, and informed pasture and herbal ley management.

As the agricultural sector continually seeks innovative and sustainable practices, hyperspectral imaging paves the way for a more productive and environmentally conscious future across the field.

#Hyperspectral Imaging #agtech #agritech #agriculture #farming #multispectral #satellite imagery #satellite #remote sensing

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agrasenagrotechh · 1 year

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What is Ozone net, Agro Shade net, and Ozone shade net

Ozone net, Ozone shade net, and Agro Shade net are all important tools used in the agriculture industry for crop protection. These types of nets are manufactured from high-quality materials and designed to provide optimal shade and protection to crops while also promoting healthy growth. One of the leading manufacturers of these types of nets is Agrasen Agrotech, a company that specializes in producing high-quality agricultural products.

1. Ozone net, also known as ozone-resistant netting, is a type of netting that is specifically designed to protect crops from harmful ozone gas that can damage leaves and stunt growth. These nets are made from high-density polyethylene (HDPE) and are coated with a special ozone-resistant coating. The netting is available in various sizes and can be custom made to fit any crop or field. Ozone net is a valuable tool for farmers and gardeners looking to protect their crops and ensure healthy growth.

2. Agro Shade net is a type of netting that is designed to provide shade to crops while also protecting them from insects, birds, and other pests. These nets are made from high-density polyethylene (HDPE) and are coated with a special UV-resistant coating. The netting is available in various shade percentages and can be custom made to fit any crop or field. Agro Shade net is a versatile tool that can be used for a variety of crops and is an effective way to protect crops from pests and damage.

3. Ozone shade net is a type of netting that is designed to provide shade to crops while also protecting them from harmful UV rays. These nets are made from high-quality HDPE material and are coated with a special UV-resistant coating. The netting is available in various shade percentages, allowing farmers to choose the best level of shading for their specific crop needs. Ozone shade net is an excellent tool for protecting crops from sun damage, reducing evaporation, and promoting healthy growth.

Agrasen Agrotech is a leading manufacturer of Ozone net, Ozone shade net, and Agro Shade net. The company is dedicated to producing high-quality agricultural products that promote healthy crop growth and protection. Agrasen Agrotech uses state-of-the-art technology and the highest quality materials to manufacture their products, ensuring that farmers and gardeners have access to the best tools for their crops. Their Ozone net, Ozone shade net, and Agro Shade net are available in a variety of sizes and shades, allowing farmers to choose the best fit for their needs. Agrasen Agrotech best company of Shade Net Manufacture In India

In conclusion, Ozone net, Ozone shade net, and Agro Shade net are essential tools for crop protection and healthy growth. Agrasen Agrotech is a leading manufacturer of these products, offering high-quality options to farmers and gardeners. With the use of these nets, farmers can protect their crops from harmful ozone gas, UV rays, and pests while also promoting healthy growth.

#AgroShadenet #OzoneNet #agriculture #farming #agtech #agribusiness #innovation #agriculturelife #agricultura #agri #farm #agro #technology #agricultural #farmers

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juneconnects · 11 months

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Leverage drone technology to cover large farmland areas to gather data and monitor crop yield remotely. Optimize your yield through agriculture mapping to strengthen your infrastructure in agriculture.

Visit us online to check out the next generation of agriculture technology to develop your farming.

WhatsApp: https://wa.me/919535555225

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agreads · 1 year

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Foodland Ventures Unveils Batch 2 at AgriFood Tech Demo Day - 5 Innovative Teams Solving Challenges Across the Food Supply Chain

Foodland Ventures Unveils Batch 2 at AgriFood Tech Demo Day – 5 Innovative Teams Solving Challenges Across the Food Supply Chain

Foodland Ventures, the VC & accelerator built for AgriFood tech founders, has unveiled its latest batch of startups in its 2022 Demo Day held on November 30th. The diverse portfolio consists of 5 teams from Taiwan, Singapore and the US. Global investment in AgriFood Tech hit a record high with USD 51.7 billion in 2021; however, the need for innovative solutions grows with rising concerns for…

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#Agricultural Tech - Farming Tech #Agriculture #AgriFoodTech #AgTech #AgTech and FoodTech Funding #AgTech Startup #Aquaculture #Climate Change #Data-Driven #Food and Agribusiness #Food Processing #Food Security #FoodTech #Investments #Nutrition #poultry #Protein #Proteins Alternatives

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nuadox · 2 years

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Technique using light and artificial intelligence is effective in selecting immature soybean seeds

- By Luciana Constantino , Agência FAPESP -

Historically based on tradition and experience, the decision-making process in agriculture has been transformed in recent years by technological innovations that scale up production and provide solutions to the challenges posed by pests, natural limitations on arable land and the effects of climate change.

Brazilian researchers have developed a technique to help select seeds of soybeans and other legumes in accordance with maturity stages, assuring physiological quality without destroying samples.

The scientists used light and artificial intelligence (AI) to show that chlorophyll fluorescence is an effective and reliable indicator of soybean seed maturity. They validated the results by means of machine learning algorithms. The novel technique can be used to classify commercial seeds.

The greener and less mature the seeds, the less vigor and germinating power they have, so that their quality is lower. As a result, the market value of soybean seed lots with more than 8% green seeds is reduced and they cannot be exported. Green seeds also produce less oil, with higher acidity and higher refining costs.

Manual seed quality analysis is required by law in Brazil. It must be performed by a technician accredited with the Ministry of Agriculture and entails visual separation based on color. Green seeds are discarded and destroyed, forming waste.

“I consider this study a milestone. No studies in the literature to date have addressed the possibility of separating seed stages based on chlorophyll fluorescence. The method can be used for other legumes besides soybeans. It’s a major advance in scientific knowledge,” said Thiago Barbosa Batista, first author of an article on the study published in the journal Frontiers in Plant Science.

The research was part of Batista’s PhD thesis, developed with FAPESP’s support. His thesis advisor was Edvaldo Aparecido Amaral da Silva, a professor at São Paulo State University's School of Agricultural Sciences (FCA-UNESP) in Botucatu, and last author of the article.

“Phenotyping various kinds of seed was the main reason for starting our thematic group. We focused on chlorophyll retention and its association with low quality, and this in turn led to the need to analyze the stages of seed development. The results of this study enhance the reliability of maturity characterization when seeds are similar shades of green, especially in nearby stages,” said Amaral da Silva, who leads a project on the “green seed problem”.

The study was conducted in partnership with Clíssia Barboza da Silva, a researcher at the Radiobiology and Environment Laboratory belonging to the University of São Paulo's Center for Nuclear Energy in Agriculture (CENA-USP). Barboza da Silva is also supported by FAPESP via three projects (17/15220-7, 18/03802-4, and 18/01774-3).

“This technique avoids destroying seeds, which are classified automatically by the AI algorithm. We currently analyze samples, but it could be done seed by seed in future,” she said.

For some years Barboza da Silva has analyzed seeds using light-based technologies such as autofluorescence spectral imaging. In September 2021, a study led by her showed that images based on autofluorescence could be used to detect changes in the optical properties of soybean seed tissue and consistently distinguish between seeds with high and low vigor. An article on the study was published in Scientific Reports.

Maturity in images

The researchers sowed soybean seeds in pots, maintaining relative air humidity at 65% and average air temperature at 24.2 °C. Pods were collected manually during the maturation phase, and the seeds were classified by reproductive stage, as R7.1 (start of maturation), R7.2 (mass maturity), R7.3 (seed disconnected from mother plant), R8 (harvest point), or R9 (final maturity).

Physical parameters, germination, vigor and pigment dynamics were analyzed for seeds collected at different stages of maturation.

High-resolution autofluorescence spectral images (2192x2192 pixels) were captured using a VideometerLab4 system with light-emitting diodes (LEDs) at different excitation wavelengths combined with long-pass optical filters.

Autofluorescence signals were extracted from images captured at different excitation/emission combinations, but the researchers concluded that the combinations 660/700 nanometers (nm) and 405/600 nm performed fastest and most accurately in identifying the different stages of seed maturation.

Chlorophyll is highly fluorescent. It emits light when exposed to radiation at specific wavelengths because it does not use all the energy from the light and “loses” part of it via fluorescence. This “surplus” is captured by the equipment, which converts it into an electrical signal, generating an image with varying shades of gray as well as white and black. The lighter the area, the higher the chlorophyll content, showing that the seed is less mature.

Mature seeds normally retain chlorophyll as a source of energy while the nutrients required for development of the young plant (lipids, proteins and carbohydrates) are being stored. After fulfilling this function, the chlorophyll degrades, and the less chlorophyll remains, the more advanced the seed is in the maturation process, with more nutrients and better quality.

The “green seed problem” refers to chlorophyll retention in mature seeds and is associated with lower oil and seed quality. It can be caused by frost but is exacerbated by the high temperatures and water stress brought by climate change in recent years.

The article “A reliable method to recognize soybean seed maturation stages based on autofluorescence-spectral Imaging combined with machine learning algorithms” is at: www.frontiersin.org/articles/10.3389/fpls.2022.914287/full.

This text was originally published by FAPESP Agency according to Creative Commons license CC-BY-NC-ND. Read the original here.

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Header image: Researcher Clíssia Barboza da Silva capturing images of soybean seed chlorophyll fluorescence with the VideometerLab4. Credit: Thiago Barbosa Batista/UNESP.

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‘Super-spuds’ to the rescue as typical tubers feel the heat

#agriculture #agtech #agritech #ai #artificial intelligence #light #soybean #crops #soy #autofluorescence #imaging #food #brazil #plants #biology

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iconceptsstuff · 2 years

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i-Concept's Multi Reward System

iConcept’s channel loyalty solution incentivizes your channel partners with a multi-reward system. Learn more: https://conceptglobal.com/channel-loyalty

#agtech #agriculture #business #farmers #food #agribusiness #agritech

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shanahazuki · 2 years

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Agtech lanza nueva app para monitorear los campos mexicanos

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vatshalgreen · 6 days

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Unveiling the Future of Agriculture: Protected Farming Revolutionizes Cultivation

Explore the transformative potential of protected farming for sustainable agriculture. Discover how protected cultivation structures are reshaping farming practices.

Contact us at +91 78743 79887, +91 75677 79887, or visit: https://bit.ly/4deJyWC

#ProtectedFarming #SustainableAgriculture #FutureOfFarming #GreenhouseRevolution #ClimateSmartFarming #AgTech #EfficientFarming #OrganicFarming #Agribusiness #AgriStartups

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shivchhaya · 8 days

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Importance of Tissue Culture in Agricultural Research and Production

Discover the transformative role of tissue culture plants in agricultural research and production. Explore how this technology enhances crop yields and resilience.

For more information visit: https://bit.ly/4aZbtYq Contact us on: +91 77790 21916

#TissueCulture #AgriculturalResearch #ProductionTech #CropImprovement #Biotechnology #AgInnovation #PlantScience #SustainableAgriculture #CropQuality #AgTech

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agmatix · 28 days

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Streamline Your Field Trials with Cutting-Edge Field Trial Software | Agmatix

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#Agmatix #FieldTrialSoftware #AgriculturalResearch #DataDriven #AgTech #FieldTrials #ResearchSoftware #Agribusiness #FarmTech #PrecisionAgriculture

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kheti-buddy · 13 days

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Optimize farm yields with Kheti Buddy's software. Manage crops efficiently, analyze data, and make informed decisions. Increase productivity and profitability with intuitive farm management solutions.

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agreads · 8 days

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AI precision spraying pioneer Greeneye Technology raises $20m to scale U.S. operation

Greeneye Technology, the pioneer of AI-enabled precision spraying technology that is proven to reduce herbicide use in farming by an average of 88%, today announces the completion of a $20m funding round led by Israeli investment company Deep Insight. The round is supported by existing investors Syngenta Group Ventures, JVP, Orbia Ventures, and Eyal Waldman, the founder and former CEO of…

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#Agricultural Innovation #Agricultural Tech - Farming Tech #Agriculture #AgTech #AgTech and FoodTech Funding #AgTech Startup #Food and Agribusiness #Sustainable Agriculture

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nuadox · 2 years

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‘Super-spuds’ to the rescue as typical tubers feel the heat

- By Anthony King , Horizon -

From origins in the cool altitudes of the Andes, the potato is not well suited to the extreme temperatures or flooding brought on by climate change. Plant scientists are breeding ‘super-spuds’ able to endure harsher environmental conditions.

The humble potato was first domesticated near Lake Titicaca in present-day Peru at least 8 000 years ago, and went on to sustain the great cities of the Inca empire. By the mid-16th century, it had left the Andes and crossed the Atlantic to Europe where it was introduced to Ireland in 1589 by English adventurer and courtier, the enigmatic Sir Walter Raleigh. Highly productive and extremely popular, the potato plant soon went on to become a staple in many European countries.

Today, it is the fourth most commonly grown food crop globally, after rice, maize, and wheat. Nonetheless, it remains vulnerable to waterlogging and heat stress, conditions that it did not evolve to withstand in its original high-altitude home in the Andes. Now, with pollution upending Europe’s climate, the potato has to confront these dual nemeses with increasing regularity.

‘Some potatoes are quite tolerant of drought stress, but they all have big problems with heat and flooding,’ says Dr Markus Teige, plant scientist at the University of Vienna who is leading the ADAPT project. ADAPT is developing new strategies to ensure potato crop productivity remains stable in the growth conditions of the future.

Plants afflicted by excessive heat stop producing sugars—preventing the development of tubers—and then race to flower early. This is an excellent strategy for wild potatoes to ensure the survival of the species under challenging conditions, but it delivers low yields to farmers.

Climate repercussions

A recent survey of over 500 European potato growers revealed that drought and heat were seen as the main repercussions of climate change on potatoes, followed by pests, disease, and heavy rains.

Some potatoes are quite tolerant of drought stress, but they all have big problems with heat and flooding.

Some potato varieties are better than others at resisting environmental stresses, which suggests that there is potential for plant breeders to genetically improve the European spud to be more tolerant.

The ADAPT project brings together four potato breeders and ten research institutions to investigate how some potatoes resist stresses.

‘We want to understand stress acclimation at the molecular level,’ said Dr Teige, ‘To develop markers for breeding stress tolerant potatoes.’

Potato breeding is especially challenging because of its complex genetics. The European variety contains millions of letters of DNA, each in four copies, on twelve distinct strands (chromosomes).

Genetic markers are akin to signposts that signify important stretches of DNA associated with a desirable trait, such as better tolerance to heat.

‘A relatively small range of potato genetics was brought to Europe,’ said Dr Dan Milbourne, potato researcher at Teagasc in Ireland, a state agricultural research organisation. Therefore, it might be possible to import new traits.

ADAPT scientists have grown around 50 potato varieties in different combinations of stress conditions in various European locations. In parallel, they have run experiments in greenhouses, where varieties are grown under defined conditions in a high-tech facility in the Czech Republic.

It takes about 12 years to produce a potato variety.

The plants are photographed and measured daily to record how much water they use, and their rates of photosynthesis and growth. This data can reveal how they are influenced by stress and highlight signposts (genetic markers) in the potato genome important for stress responses.

The signposts save time and money for future breeding programmes. ‘If a marker is associated with a specific trait, then, when you grow a seedling, you extract the DNA and look for the marker,’ said Dr Teige. The old way was to allow the plant to grow and wait to see if the desired trait was present.

Saving time in plant breeding is a huge deal. ‘It takes about 12 years to produce a potato variety,’ said Dr Milbourne. And he should know, because last year, his organisation was involved in the release of Buster, a new variety of potato resistant to a type of nematode worm that can severely damage potato crops.

Potato preferences

In Ireland, potatoes must be sprayed up to 20 times during a growing season to protect against late blight. Blight has an historical significance in Ireland as it caused potato crop failure in the 1840s which triggered a disastrous famine that decimated the population.

Meanwhile, Europe is seeking to lessen reliance on chemical sprays, with the European Commission recently proposing that pesticide use be cut in half by 2030. To reduce dependence on spraying, more pest-resistant potatoes will be needed.

Dr Milbourne is part of a project called PotatoMASH, which devised a way of scanning the genetic variation across the genome of potato varieties in an inexpensive manner. The method can diagnose the presence of target diseases and pest resistance genes in potatoes by sampling only stretches of very variable DNA, which is significantly less expensive than traditional methods of identifying genetic markers.

New software developed at ILVO (Flanders Research Institute for Agriculture, Fisheries and Food) in Belgium, identifies areas of DNA where there are subtle differences between varieties.

We’re going to have to double production, without increasing the amount of land we farm, while also facing climate change.

It is single differences in the DNA code that are most interesting to breeders, explained Dr Milbourne. Potato breeding will be accelerated by identifying signposts for these areas.

‘Instead of testing thousands of individuals by infecting them with a disease and following their response,’ said Dr Milbourne, ‘I can just click out a small bit of leaf material about the size of my fingernail and test it for these markers, which can tell me whether a gene is present or absent.’

This is an important advance in the push to develop potatoes resistant to pests and diseases and able to withstand the vagaries of our future climate, while not sacrificing yield.

Super-spuds

Crucially, it will not be a matter of breeding just one super-spud, because consumer tastes for potatoes vary widely from country to country, and there will be plenty of new potato varieties needed for the future.

‘We are looking at moving from feeding 7 billion people to between 11 and 13 billion over the next several decades,’ said Dr Milbourne.

‘We’re going to have to double production, without increasing the amount of land we farm, while also facing climate change, which could also deplete the land we have available for agriculture.’

Part of the solution is to boost the resilience of staple crops—such as potatoes—to extremes such as high temperatures, pests, and diseases, while relying less on pesticides. The race is on.

Research in this article was funded by the EU.

This post ‘Super-spuds’ to the rescue as typical tubers feel the heat was originally published on Horizon: the EU Research & Innovation magazine | European Commission.

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