Analysis of Complex Traits and Molecular Selection in Perennial Crops
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Horticultural and Floricultural Crops".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 413
Special Issue Editors
Interests: local adaptation; G–E interaction; wild perennial grasses; photoperiodic flowering; abiotic stresses
Special Issues, Collections and Topics in MDPI journals
Interests: perennial rice; reproductive isolation; hybrid sterility; de novo domestication of wild rice
Special Issue Information
Dear Colleagues,
The global agricultural systems are largely reliant on the yearly planting of annual crops, such as wheat (Triticum), maize (Zea mays), rice (Oryza sativa), and soybean (Glycine max). The use of these systems has been a boon in providing food security to the global population, yet it has also resulted in ecological consequences such as climate change, soil erosion, wildlife habitat destruction, and other pollutants. To ensure sustainability, one of the optimal approaches is to mimic the functioning of the natural ecosystem. The most remarkable feature of natural ecosystems is the prevalence of perennial species, thus, shifting from annual to perennial crops could be a revolutionary solution to reduce the need for external inputs such as energy, fertilizers, and pesticides.
The objective of this collection is to bring together the most recent advancements in the genetic and molecular mechanisms of complex traits in perennial crops, encompassing both woody and herbaceous crops. Additionally, we are interested in molecular selection and breeding practices for these perennial crops. We aim to explore perennial resources to enhance the adaptation of the agroecosystem and ensure sustainable livelihoods and food security.
Dr. Xiaoyu Weng
Prof. Dr. Jiangyi Yang
Prof. Dr. Jihua Ding
Guest Editors
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Keywords
- perennial crops
- sustainable agroecosystem
- de novo domestication
- local adaptation
- G–E interaction
- complex traits
- molecular selection
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