An enzyme involved in vitamin B2 biosynthesis, 3,4‐dihydroxy‐2‐butanone‐4‐phosphate synthase (DHBPS), was identified as the target of the natural product phosphonothrixin, representing a novel mode of action for herbicides. Abstract BACKGROUND In our ongoing search for new and environmentally friendly chemical entities that can control weeds via new ...
Bernd Laber+5 more
wiley +1 more source
An innovative strategy is showcased for inducing right/left‐handed chirality in MXene‐nanosheets and derived quantum dots to form stable mixed‐low‐dimensional heterostructured‐biomaterials with enhanced colloidal dispersibility and debonding resistance, mimicking the natural asymmetric structure of most chiral biomolecules and living organisms ...
Alireza Rafieerad+5 more
wiley +1 more source
Sales prediction analysis requires intelligent data mining techniques with accurate prediction models and high reliability. In most cases, business highly relies on information as well as demand forecast of the sales trends.
Oryza Wisesa+2 more
doaj +1 more source
Analisa Penetapan Harga Jual Unit Rumah Pada Proyek Perumahan Griya Suci Permai Baru, Gresik
Perumahan Griya Suci Permai Baru yang dikembangkan oleh PT. Agya Kenyar Utama dan PT. Surya Bangun Indah Property, merupakan sebuah perumahan yang sedang dibangun di kabupaten Gresik.
Utut Oryza Septiantoro, Christiono Utomo
doaj
Learnable Group Transform: Enhancing Genotype-to-Phenotype Prediction for Rice Breeding with Small, Structured Datasets [PDF]
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
Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice [PDF]
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
Empowering Agricultural Insights: RiceLeafBD -- A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique [PDF]
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
PHYTOCHROME ACTION IN ORYZA SATIVA L. III. THE SEPARATION OF PHOTOPERCEPTIVE SITE AND GROWING ZONE IN COLEOPTILES, AND AUXIN TRANSPORT AS EFFECTOR SYSTEM [PDF]
Masaki Furuya+3 more
openalex +1 more source
Analysis of the variability of cardinal temperatures in rice [PDF]
Rice is one of a world's most important food crops. Rice is exclusively grown in all over the world, in various agro ecosystems. Climatic changes, loss of agricultural lands because of urbanization are some of the critical points in rice production in ...
Dhanushka Perera, Jayani
core
Though agriculture has been linked to the decline in bird populations due to the associated changes in vegetation structure and composition, its potential to sustain birds has been explored over time. A sustainable agricultural landscape should be one that has the capacity to support bird species all year.
Carlos Amissah+2 more
wiley +1 more source