71. Root wilt disease, that was recently seen in news, is caused by which agent?
[A] Bacteria
[B] Virus
[C] Fungus
[D] Protozoa
Show Answer
Correct Answer: A [Bacteria]
Notes:
Recently, phytoplasma-induced root wilt disease has severely damaged traditional coconut-growing areas in Karnataka, Tamil Nadu, and Kerala. It is caused by phytoplasma bacteria and is one of the most devastating coconut palm diseases. It was first identified over 150 years ago in Erattupetta, Kerala, it is classified as a non-fatal disease. The disease does not kill palms but drastically reduces their productivity. It spreads through insect vectors, wind movement, and continuous coconut plantations. Spread is faster in sandy, sandy loam, and alluvial soils and is worsened by erratic temperatures and whitefly pests.
72. Maia 200 is an in-house artificial intelligence processor developed by which organization?
[A] Google
[B] Microsoft
[C] Meta
[D] Amazon
Show Answer
Correct Answer: B [Microsoft]
Notes:
In January 2026, Microsoft launched its second-generation in-house artificial intelligence (AI) processor called Maia 200. It builds on the first Maia chip that was introduced by Microsoft in 2023. The Maia 200 chip is manufactured by Taiwan Semiconductor Manufacturing Company (TSMC). It uses advanced 3-nanometer (nm) process technology and includes high-bandwidth memory. The chip is currently operational at a Microsoft data centre in Iowa, marking its first live deployment. Microsoft plans to expand its deployment to other data centres. Maia 200 offers higher computing power, faster memory bandwidth, and better energy efficiency.
73. Indian National Centre for Ocean Information Services (INCOIS) was established under which ministry?
[A] Ministry of Science and Technology
[B] Ministry of Earth Sciences
[C] Ministry of Electronics and Information Technology
[D] Ministry of Environment, Forest and Climate Change
Show Answer
Correct Answer: B [Ministry of Earth Sciences]
Notes:
The Indian National Centre for Ocean Information Services (INCOIS) will launch three new ocean services: Jellyfish Artificial Intelligence Information Platform (JellyAIIP), SAMUDRA 2.0 Mobile Application, and Seamless Information Visualization and Analysis System (SIVAS) along with a new logo. It was established as an autonomous body under the Ministry of Earth Sciences (MoES) and is located in Hyderabad, Telangana. It provides ocean information and advisory services through continuous ocean observations and focused research. It runs the Indian Tsunami Early Warning Centre (ITEWC), issuing tsunami alerts within 10 minutes for India and 28 Indian Ocean countries.
74. Which country launched iLive Connect, the world’s first doctor-led Artificial Intelligence (AI) healthcare ecosystem?
[A] India
[B] France
[C] Malaysia
[D] Singapore
Show Answer
Correct Answer: A [India]
Notes:
India launched iLive Connect, the world’s first doctor-led Artificial Intelligence (AI) healthcare ecosystem for continuous home-based clinical monitoring. It bridges gaps in chronic disease care and post-hospital recovery, especially for elderly and remote-area patients. The system uses medical-grade wearable biosensors, a chest patch and wristband, to track ECG, heart rate, respiration, oxygen saturation (SpO₂), temperature, blood pressure trends, activity, sleep, and heart rate variability. Data is sent in real time to a 24×7 medical command centre staffed by specialist doctors.
75. India’s first government-supported National Biobank for Lysosomal Storage Disorders (LSDs) was launched in which state?
[A] Gujarat
[B] Maharashtra
[C] Haryana
[D] Rajasthan
Show Answer
Correct Answer: A [Gujarat ]
Notes:
India’s first government-supported National Biobank for Lysosomal Storage Disorders (LSDs) was launched in February 2026 at the Foundation for Research in Genetics and Endocrinology (FRIGE) in Ahmedabad, Gujarat. It is funded by the Department of Biotechnology (DBT). This facility stores biological samples and data from 530 patients across 15 states to advance research, develop affordable diagnostic tools, and improve treatment for rare metabolic disorders.
76. Shalimar Wheat-3 (SW-3) and Shalimar Wheat-4 (SW-4) have been developed by which agricultural university?
[A] Punjab Agricultural University
[B] Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST-K)
[C] Maharana Pratap University of Agriculture & Technology, Udaipur
[D] Anand Agricultural University, Gujarat
Show Answer
Correct Answer: B [Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST-K)]
Notes:
Scientists at Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir developed two early-maturing Shalimar Wheat varieties to strengthen the rice–wheat cropping system. Shalimar Wheat includes Shalimar Wheat-4, which matures by the last week of May, and Shalimar Wheat-3, which matures by the first week of June. These varieties are specially bred for Kashmir’s climate and are suitable for mid-altitude areas up to about 1,850 metres. Early maturity allows timely harvesting of wheat and smooth transplantation of paddy. They help maintain proper crop rotation without delays in rice cultivation. The varieties show resistance to yellow rust, a major fungal disease in the region.
77. Which institution has launched the “moonshot project” to develop brain co-processors?
[A] Indian Institute of Science
[B] Indian Institute of Technology Delhi
[C] Indian Institute of Technology Madras
[D] None of the Above
Show Answer
Correct Answer: A [Indian Institute of Science]
Notes:
The Indian Institute of Science (IISc), Bengaluru, has launched a “moonshot” research project to develop brain co-processors, which will combine neuromorphic hardware and artificial intelligence algorithms to enhance or restore human brain functions. The initiative is financially supported by the Pratiksha Trust. The project aims to develop both implantable and non-invasive brain co-processors capable of decoding neural signals from brain recordings, processing these signals using AI algorithms, and sending them back to the brain through neural stimulation or neurofeedback.
78. Cassava Brown Streak Disease, that was recently seen in news, was first identified in which region?
[A] Africa
[B] Europe
[C] South America
[D] Australia
Show Answer
Correct Answer: A [Africa]
Notes:
A recent study has warned that more than one-third of Africa is at risk of the spread of Cassava Brown Streak Disease (CBSD), which is a highly destructive disease affecting cassava crops. CBSD is considered one of the most devastating diseases of cassava, as it severely reduces both the production and quality of cassava tubers (roots), which are an important staple food in many African countries. The disease was first identified in the mid-20th century in the coastal regions of East Africa, and since then it has spread significantly across the African continent.
79. A two new species of fruit flies named Acidoxantha paratotoflava and Hemilea suneriae has been discovered in which state?
[A] Uttar Pradesh
[B] Haryana
[C] Uttarakhand
[D] Himachal Pradesh
Show Answer
Correct Answer: D [Himachal Pradesh]
Notes:
Entomologists discovered two new species of fruit flies named Acidoxantha paratotoflava and Hemilea suneriae in the Himalayan foothills of Solan district in Himachal Pradesh. Acidoxantha paratotoflava is a medium-sized greenish-yellow fly with four black stripes on its thorax and large black spots on its abdomen. The species also has distinct hook-like structures in the male anatomy, which help in identification. Hemilea suneriae is a reddish-brown fruit fly with prominent black dots on its body. It has a unique wing pattern with a single clear “window” (hyaline indentation) in a dark wing area, unlike related species that usually have two. The discovery adds to India’s insect biodiversity and improves scientific knowledge of fruit fly taxonomy.
80. A Pentagon AI program called Project Maven was launched by which country?
[A] United States
[B] Iran
[C] India
[D] Australia
Show Answer
Correct Answer: A [United States]
Notes:
The Pentagon’s Project Maven AI program was launched by the United States in 2017. The program was launched by the United States in 2017. It uses machine learning and computer vision to automatically detect objects, movements, and patterns, reducing the need for manual analysis. The programme helps in real-time identification and tracking of targets, improving the speed and accuracy of military operations.