Processing quality in chestnut (Castanea spp.) is a complex trait jointly determined by fruit development, postharvest metabolic changes, and responses to processing. However, its genetic basis and regulatory networks remain poorly understood. This review provides an integrated framework linking product-specific processing requirements with their biochemical basis, candidate genes, and molecular breeding strategies. Starch composition and fine structure primarily determine cooked texture, storage hardening, and digestibility; starch degradation and sugar metabolism affect sweetness and thermally induced flavor formation; and phenolic substrates, together with oxidative enzymes, determine browning potential and color stability. We review the biochemical basis underlying these traits and summarize candidate genes and regulatory pathways involved in starch synthesis and structural modification, starch-to-sugar conversion, enzymatic browning, flavor formation, and the accumulation of nutritional and bioactive compounds. Nevertheless, stable quantitative trait loci, favorable haplotypes, and causal genes associated with chestnut processing quality remain insufficiently validated. Future research should develop product-oriented, standardized phenotyping systems and integrate multi-environment genetic analyses, multi-omics network dissection, marker-assisted selection, genomic selection, and gene editing to elucidate the genetic mechanisms underlying chestnut processing quality and enable the precision breeding of processing-specific cultivars.
Fruit processing plays a critical role in reducing postharvest losses, enhancing value addition, and improving the utilization efficiency of horticultural produce. However, most fruit breeding programs have historically prioritized fresh‐market traits such as yield, appearance, shelf life, and disease resistance, whe...
M. Ranjani, K. U, S. Rudra· Future Postharvest and Food· 0 citations
Blueberries (Vaccinium spp.) are widely recognized as a superfruit due to their high content health-promoting bioactive compounds, including flavonoids and phenolic acids. While these metabolites provide significant health benefits, their postharvest stability and implications for shelf life are not well characterized,...
Estefania Tavares Flores, Gonzalo Casorzo, P. Adunola et al.· The Plant Genome· 0 citations
The common bean (Phaseolus vulgaris L.) is a sustainable source of plant protein, dietary fiber, polyphenols, essential minerals, and antioxidant pigments, increasingly valued as a raw material for functional foods and nutraceutical ingredients. Consistent compositional characterization of new lines is therefore essent...
A. Dobrin, L. Bădulescu, C. Constantin et al.· Foods· 0 citations
BACKGROUND
Kernel starch and protein contents are major determinants of maize grain quality and end-use value, whereas yield remains the primary breeding objective. These traits are genetically complex and interrelated, potentially sharing genetic effects while exhibiting trade-offs. Recent advances in quantitative gen...
Hua-Ngai Li, Cheng Wang, Jia Wei et al.· Journal of Advanced Research· 0 citations
Combining biochemical, molecular, and multivariate analyses identified candidate signatures and L10P41 as a promising bioenergy ideotype, supporting targeted selection for oil quality and bioenergy performance in Jatropha curcas. Jatropha curcas L. is a promising bioenergy crop, but its genetic improvement requires a d...
D. de Argollo Marques, K. A. Gomes, R. Ferrari et al.· Planta· 0 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.