Integrated Ways to Improve Forage Production and Nutritional Value
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Grassland and Pasture Science".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 10376
Special Issue Editors
Interests: abiotic stress biology; forage; legume-rhizobium symbiosis; photosynthesis
Interests: forage improvement; abiotic stress tolerance; stress physiology
Interests: forage genomics; molecular breeding
Special Issues, Collections and Topics in MDPI journals
Interests: turf grass; forage; abiotic stress; omics analysis; gene function
Special Issues, Collections and Topics in MDPI journals
Interests: forage seed; multi-omics; bioinformatics; genomics; metagenomics
Interests: transgenic plants; stress physiology; stress protein; functional gene research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The question of how to achieve the expansion of food consumption with a growing population poses a great challenge under the current situation of a global water crisis, land degradation, climate change, agricultural diseases, environmental deteriorations, etc. Forage production as one of the main sources of meat and milk, but it is now facing huge threats due to the above negative factors. Thus, it is imperative to improve forage production and nutritional value by increased efficiency of resource utilization, enhanced adaptation to adversity as well as fortified nutrition, and so on. These integrated efforts will be of great importance in food availability and stability, agricultural sustainability and environment health.
This research Topic aims to enrich our understanding of the potentially valuable ways to enhanced forage production and nutritional value.
We welcome original research articles, methods, and opinions that address the aim. Manuscripts should address, but not be restricted to, the following topics:
- Molecular or physiological study between forages and microorganisms of plant growth promotion and biological control of insects or diseases;
- Gene function or pathway characterization via transgenic study or gene editing for forage production, nutrition and adaptation to adversity;
- Forage breeding by integrating high-throughput genotyping or marker-assisted selecting;
- Novel means that enhance resource utilization such as mineral elements, water, sunlight or others.
Dr. Jiejun Xi
Prof. Dr. Aike Bao
Prof. Dr. Linkai Huang
Prof. Dr. Bin Xu
Dr. Shangang Jia
Dr. Peng Zhou
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- forages
- forage production and nutritional value
- efficiency of resource utilization
- adaptation to adversity
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