Publications by authors named "Balpreet Kaur Dhatt"
Article Synopsis
- * Researchers studied metabolites from rice grains to distinguish between high night temperature (HNT) conditions and used these metabolites, alongside single-nucleotide polymorphisms (SNPs), to predict grain size traits.
- * Findings indicated that while genomic prediction outperformed metabolic prediction for grain sizes, combining both methods slightly improved prediction accuracy, suggesting metabolites could be valuable for enhancing predictive modeling in rice breeding.
Background: Our understanding of the physiological responses of rice inflorescence (panicle) to environmental stresses is limited by the challenge of accurately determining panicle photosynthetic parameters and their impact on grain yield. This is primarily due to the lack of a suitable gas exchange methodology for panicles and non-destructive methods to accurately determine panicle surface area.
Results: To address these challenges, we have developed a custom panicle gas exchange cylinder compatible with the LiCor 6800 Infra-red Gas Analyzer.