Novel mutation breeding techniques and their application in vegetable crop improvement
Ajay S. M.
, R. M. Hosamani , S. G. Angadi
Vegetables, Mutation, Mutagenesis
Mutation breeding is a crucial method for crop improvement that leverages induced genetic diversity to enhance various agronomic traits. Originating in the early 20th century, this technique utilizes physical mutagens like gamma rays and chemical agents such as Ethyl Methane Sulfonate (EMS) to introduce genetic variations. Recent advancements include genome editing, insertional mutagenesis, and antisense mutagenesis, offering enhanced precision in mutation control. Research demonstrates the effectiveness of mutation breeding in improving crops: for example, EMS-induced mutations have increased anthocyanin content in eggplant, while laser irradiation has enhanced growth traits in brinjal. Notable successes include the development of high-yielding potato 'Nahita' and disease-resistant cucumber 'Xianghuanggua 5.' Despite its advantages, such as cost-efficiency and rapid trait development, mutation breeding faces challenges including low mutation frequency and potential side effects. Continuous advancements in screening methods and integration with genomic tools are advancing the efficacy of mutation breeding. This approach plays a significant role in addressing genetic limitations, contributing to food security, and promoting agricultural sustainability by developing resilient and high-performing crop varieties.
"Novel mutation breeding techniques and their application in vegetable crop improvement", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.2, Issue 8, page no.a221-a228, August-2024, Available :https://tijer.org/JNRID/papers/JNRID2408024.pdf
Volume 2
Issue 8,
August-2024
Pages : a221-a228
Paper Reg. ID: JNRID_700607
Published Paper Id: JNRID2408024
Downloads: 000224
Research Area: Other area not in list
Country: Dharwad, KARNATAKA, India
ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: JNRID (IJ Publication) Janvi Wave
