A5053039532- Rice Cultivation and Yield Improvement
- Genetic Mapping and Diversity in Plants and Animals
- GABA and Rice Research
- Smart Agriculture and AI
- Genetics and Plant Breeding
- Remote Sensing in Agriculture
- Peanut Plant Research Studies
- Sesame and Sesamin Research
- Spectroscopy and Chemometric Analyses
- Plant Pathogenic Bacteria Studies
- Plant Disease Resistance and Genetics
- Remote Sensing and LiDAR Applications
- Food composition and properties
- Agricultural Science and Fertilization
- Plant-Microbe Interactions and Immunity
- Agricultural pest management studies
- Plant Genetic and Mutation Studies
- Genetic and phenotypic traits in livestock
- Plant Molecular Biology Research
- Crop Yield and Soil Fertility
- Leaf Properties and Growth Measurement
- Plant Virus Research Studies
- Plant Micronutrient Interactions and Effects
- Agricultural Economics and Practices
- Seed and Plant Biochemistry
Professor Jayashankar Telangana State Agricultural University
2017-2024
International Rice Research Institute
2012-2023
Indian Institute of Oilseeds Research
2020
Acharya N. G. Ranga Agricultural University
2015
Nagoya University
2014
Indian Agricultural Research Institute
2008-2012
Rice is staple food for more than half of the world's population including two billion Asians, who obtain 60-70% their energy intake from rice and its derivatives. To meet growing demand human population, varieties with higher yield potential greater stability need to be developed. The favourable alleles contributing traits are distributed among subspecies i.e., indica japonica cultivated (Oryza sativa L.). Identification novel in indica/japonica will pave way marker-assisted mobilization...
Sheath blight, caused by the pathogenic fungus Rhizoctonia solani Kühn, is one of most devastating diseases in rice. Breeders have always faced challenges acquiring reliable and absolute resistance to this disease existing rice germplasm. In context, 40 germplasm including eight wild, four landraces, twenty- six cultivated two advanced breeding lines were screened utilizing colonized bits typha. Except Tetep ARC10531 which expressed moderate level disease, none could be found authentically...
Multispectral images (MSIs) are valuable for precision agriculture due to the extra spectral information acquired compared natural color RGB (ncRGB) images. In this paper, we thus aim generate high spatial MSIs through a robust, deep-learning-based reconstruction method using ncRGB Using data from agronomic research trial maize and breeding rice, first reproduced rendering model, Model-True image (Model-TN), which was built benchmark hyperspectral dataset. Subsequently, an MSI Model-Natural...
High oleic trait, resistance to rust and late leaf spot (LLS) are important breeding objectives in groundnut. Rust LLS cause significant economic loss, high trait is an industry preferred that enhances returns. This study reports marker-assisted selection introgress content, into Kadiri 6 (K 6), a popular cultivar. The alleles for target traits were selected using linked allele-specific, simple sequence repeats (SSRs) single nucleotide polymorphic (SNP) markers. F1s (384), intercrossed...
Abstract Pearl millet [ Pennisetum glaucum (L.) R. Br.] is a staple food crop of arid and semi‐arid regions Asia Africa. Forty‐five pearl populations Asian African origin were assessed for genetic diversity using 29 simple sequence repeat (SSR) markers. The SSR‐based clustering structure analyses showed that origin–Asian bred (As‐As) origin–African (Af‐Af) distributed across seven clusters, indicating no strong relationship among with their geographical origin. Most the (Af‐As) had higher...
Oryza latifolia is a tetraploid wild species with CCDD genome that has been reported to harbor resistance bacterial blight (BB), brown planthopper, and whitebacked planthopper. Aside from these traits, O. also being tapped as new source of lodging high biomass production. To explore the genetic potential novel resource for improvement existing sativa cultivars, 27 disomic derivatives monosomic alien addition lines (MAAL) were characterized chromosome segment introgressions evaluated yield...
The monitoring of growth stages a crop is vital for farmers to optimize the use agronomic inputs and crop-management. Manual observation in large fields time consuming labor-intensive task. To reduce human efforts this tedious work, Unmanned Aerial Vehicle (UAV)-based remote sensing with emergence different technologies like deep learning helping health crop. However, Convolutional Neural Network (CNN) based models need lot labeled data computations get trained automate process. In paper,...
Abstract High seed cost due to poor yield severely limits the adoption of hybrid rice by farmers. Increasing out-crossing rate is one key strategies increase production. Out-crossing highly influenced size female floral traits, which capture pollen grains from male donor plants. In current study, we identified 14 QTLs derived perennial wild Oryza longistaminata composite interval mapping for five traits: stigma length (five), style (three), breadth (two), area (one), and pistil (three). QTL...
Agronomic inputs such as water , nutrients and fertilisers play a vital role in the health, growth yield of crops. The lack each these induces biotic abiotic stress crop. Farmers are relying on groundwater because decreased rainfall. irrigation method can be improved by acquiring awareness health crops soils. In general, crop soil quality is controlled means manual observation, which time-consuming, labour-intensive contributes to incorrect choices substantial waste resources. There also an...
The study was conducted to determine the correlation and path coefficients among yield component characters in 14 parental lines 91 hybrids of pearl millet (Pennisetum glaucum L. R. Br), formulated by a diallel cross excluding reciprocals. Strong significant genotypic phenotypic correlations were observed between grain (kg ha-1) with panicle girth (cm),plant height (cm) length (cm). analysis indicated that (cm)and plant had highest direct effects on yield. days 50% flowering, 1000-grain...
The present investigation on study of Correlation and path analysis in chilli (Capsicum annuum L.) genotypes was carried out during rabi crop are that sown winter season, the year 2016-17. under taken 30 using randomized block design (RBD) with three replication. result phenotypic genotypic correlation coefficient revealed fresh fruit yield per plant significantly positively correlated total number fruits plant, diameter, pedicel length, weight, dry seed content, ascorbic acid oleoresin...