Plant genetic network analysis involves mapping and understanding the complex interactions between genes within a plant's genome. By utilizing techniques such as RNA sequencing and gene co-expression networks, researchers can identify regulatory pathways and functional relationships among genes. This analysis helps in elucidating how plants respond to various environmental stimuli and stress factors. Moreover, it provides insights into trait variation and inheritance patterns, which can be leveraged for crop improvement. Advances in computational biology and bioinformatics are increasingly enabling the integration of genetic, epigenetic, and environmental data to create comprehensive models that predict plant responses to different conditions.
Title : Exploring the genetic diversity in tannin-rich forages to explain the large intra species variability in tannin content
Selina Sterup Moore, Aarhus University, Denmark
Title : Isolation and functional properties of biomolecules of plants and its application
Balagopalan Unni, GEMS Arts & Science College (Autonomous), India
Title : Primed for the future: PGPR and the promise of sustainable, heritable crop resilience
Prashant Singh, Banaras Hindu University (BHU), India
Title : Revealing allelic variations in candidate genes associated with grain yield under salinity stress between two contrasting rice genotypes
Nisha Sulari Kottearachchi, Wayamba University of Sri Lanka, Sri Lanka
Title : Adaptive strategies of Aristida L. species across ecological zones of Pakistan: Linking soil characteristics with morphological and physiological traits
Iram Ijaz, University of Agriculture Faisalabad Pakistan, Pakistan
Title : Ethnobotanical survey and abundance of weeds in selected Manihot esculenta (cassava) Crantz farms in Osun state, Nigeria
Dada Caleb Mayokun, University of Ibadan, Nigeria