Forage grass is an essential source of livestock feed and has an important role in maintaining the natural resource base. However, environmental stresses have seriously affected forage productivity. Researchers are integrating traditional and molecular breeding to improve varieties with excellent resistance to stressful conditions, but molecular breeding in forage is still lagging behind other major crops due to a lack of genetic resources. Omics data popularize in recent decades owing to the rapid development of next-generation sequencing and include proteomics, transcriptomics, genomics, metabolomics, lipidomics, epigenomics, etc. In forage grass, however, omics data are still limited, and massive forage grasses are short of good genome assemblies, thereby restricting the production of omics data to accurately dissect molecular mechanisms underlying environmental stresses. This special issue will serve as an interdisciplinary platform providing integrated insights into constructing genetic resources, applying the omics data to clarify molecular mechanisms of diverse stress responses, and developing tools/methods supporting the excavation of key regulatories. We welcome publishing high-quality original research articles, review articles, perspectives, opinions, and methods, including but not limited to the following research topics on forage grasses:

●    Omics studies
●    Molecular mechanisms
●    Evolution
●    Natural variation
●    Domestication
●    Physiological responses
●    Metabolic regulators
●    Hormonal signaling

Guest Editors

Prof. Dr. Linkai Huang, Sichuan Agricultural University, China
Prof. Dr. Bin Xu, Nanjing Agricultural University, China
Dr. Haidong Yan, University of Georgia, USA

Submission Deadline

The deadline for manuscript submission is 30 June 2025. However, we can accommodate extensions on a case-by-case basis. All papers will be published as open access articles upon acceptance.

Submission Instructions

Please submit the full manuscript to Grass Research via our Online Submission System. All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors for submission of manuscripts is available on the For Authors page.

Additionally, please choose the topic of this Special Issue when submitting and specify it in your cover letter. For further inquiries, please contact Guest Editors:

Linkai Huang (Huanglinkai@sicau.edu.cn)
Bin Xu (binxu@njau.edu.cn)
Haidong Yan (hy17471@uga.edu)