Biology subjects

Ahlawat, Y.

Publications and source records attributed to Ahlawat, Y..

2 recordsLinked to original sources

bioRxiv2021

Identifying gene regulatory networks of senescence in postharvest broccoli (Brassica oleracea)

The facts of postharvest food loss and waste and the resulting consequences affect us in many ways, ranging from important economic and social issues to lasting and detrimental environmental problems. We are using genomic tools to understand senescence in postharvest broccoli florets when stored at room temperature or 4 {degrees}C. The RNA-sequencing approaches provide key insights into the gradual changes in transcriptome profiling in broccoli during postharvest storage. Identification of those key factors could lead to a better understanding of gene regulation of postharvest senescence. Those genes could serve as freshness-indicators that have the potential to mediate senescence and to generate germplasm for breeding new varieties with longer shelf-life in Brassica vegetables. Such a tool would also allow a new level of postharvest logistics based on physiological age, supporting improved availability of high-quality, nutritious, fresh vegetables and fruits. One sentence summaryA gene regulatory network modulates senescence in postharvest broccoli florets

genomics↗

bioRxiv2020

Evaluation of Postharvest Senescence in Broccoli Via Hyperspectral Imaging

Fresh fruits and vegetables are invaluable for human health, but their quality deteriorates before reaching consumers due to ongoing biochemical processes and compositional changes. The current lack of any objective indices for defining "freshness" of fruits or vegetables limits our capacity to control product quality leading to food loss and waste. It has been hypothesized that certain proteins and compounds such as glucosinolates can be used as an indicator to monitor the freshness of vegetables and fruits. However, it is challenging to "visualize" the proteins and bioactive compounds during the senescence processes. In this work, we propose machine learning hyperspectral image analysis approaches for estimating glucosinolates levels to detect postharvest senescence in broccoli. Therefore, we set out the research to quantify glucosinolates as "freshness-indicators" which aid in the development of an innovative and accessible tool to precisely estimate the freshness of produce. Such a tool would allow for significant advancement in postharvest logistics and supporting the availability for high-quality and nutritious fresh produce.

bioengineering↗