Results 111 to 120 of about 17,883 (219)

A plant disease extension of the Infectious Disease Ontology [PDF]

, 2012
Plants from a handful of species provide the primary source of food for all people, yet this source is vulnerable to multiple stressors, such as disease, drought, and nutrient deficiency.
Albert, Goldfain, Justin, Elser, Smith, Barry, Stevenson Dennis, W., Walls, Ramona   +4 more
core  

Pathogenic Variability of Xanthomonas oryzae and Related Varietal Reaction in Bangladesh [PDF]

, 1977
S. A. Miah
openalex   +1 more source

Learnable Group Transform: Enhancing Genotype-to-Phenotype Prediction for Rice Breeding with Small, Structured Datasets [PDF]

arXiv
Genotype-to-Phenotype (G2P) prediction plays a pivotal role in crop breeding, enabling the identification of superior genotypes based on genomic data. Rice (Oryza sativa), one of the most important staple crops, faces challenges in improving yield and resilience due to the complex genetic architecture of agronomic traits and the limited sample size in ...
arxiv  

Induksi Ketahanan Terhadap Penyakit Hawar Daun Bakteri Pada Tanaman Padi Di Lapangan Menggunakan Rizobakteri Indigenos [PDF]

, 2014
Induced resistance to bacterial leaf blight disease in rice field by indigenous rhizobacteria. Bacterial leaf blight is the most important disease on paddy at Southeast Sulawesi.
Adriani, A. (Adriani), Khaeruni, A. (Andi), Rahim, A. (Abdul), Syair, S. (Syair)   +3 more
core  

The structural diversity of xanthomonadin aryl polyenes and functional analysis of the genes required for their synthesis by Xanthomonas phytopathogens

Phytopathology Research
Xanthomonas is a genus of plant-associated Gram-negative bacteria which infect more than 400 plant species. A characteristic feature of Xanthomonas bacteria is the production of yellow membrane-bound pigments called xanthomonadins.
Wen-Da Hu, Bing Chen, Zhelin Zheng, Xueqiang Cao, Kai Song, Alan Robert Poplawsky, Ya-Wen He   +6 more
doaj   +1 more source

Changes in macromolecular synthesis in Xanthomonas oryzae infected with bacteriophage XP-12 [PDF]

, 1977
Melanie Ehrlich, Fu‐Pang Lin, K. Ehrlich, Susan L Brown, John A. Mayo   +4 more
openalex   +1 more source

Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice [PDF]

arXiv
This study explores the application of machine learning-based genetic linguistics for identifying heavy metal response genes in rice (Oryza sativa). By integrating convolutional neural networks and random forest algorithms, we developed a hybrid model capable of extracting and learning meaningful features from gene sequences, such as k-mer frequencies ...
arxiv  

Comparative studies of sunlight mediated green synthesis of silver nanoparaticles from Azadirachta indica leaf extract and its antibacterial effect on Xanthomonas oryzae pv. oryzae

Arabian Journal of Chemistry, 2020
Biogenic synthesis of silver nanoparticle (AgNPs) has attracted worldwide attention as it is cheap and non-toxic. Therefore, in present study sunlight mediated silver nanoparticle was synthesized from Azadirachta indica A.
Mounil Mankad, Ghanshyam Patil, Dimpy Patel, Parthvi Patel, Armi Patel   +4 more
doaj  

Empowering Agricultural Insights: RiceLeafBD -- A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique [PDF]

arXiv
The number of people living in this agricultural nation of ours, which is surrounded by lush greenery, is growing on a daily basis. As a result of this, the level of arable land is decreasing, as well as residential houses and industrial factories. The food crisis is becoming the main threat for us in the upcoming days.
arxiv  

Inhibitory role of copper and silver nanocomposite on important bacterial and fungal pathogens in rice (Oryza sativa)

Scientific Reports
Rice (Oryza sativa) being among the most important food crops in the world is also susceptible to various bacterial and fungal diseases that are the major stumbling blocks in the way of increased production and productivity.
Arnab Roy Chowdhury, Rishikesh Kumar, Arabinda Mahanty, Koel Mukherjee, Sudhir Kumar, Kishor U. Tribhuvan, Rishav Sheel, Srikanta Lenka, Binay K. Singh, Chirantan Chattopadhyay, T. R. Sharma, Vijai Pal Bhadana, Biplab Sarkar   +12 more
doaj   +1 more source