Chilamakuri Prudhvi Sai Gowtham, Aarti Sharma, Tumu Sahithi and Shridhar Kalasgond
Abstract
The use of GS in crop breeding has emerged as a potent tool to improve the productivity of crops. This process predicts breeding values through genetic data, enabling an efficient and effective way to enhance crop yields. Coupled with speedy breeding techniques, this technology has immense potential to speed up the process of genetic improvement and bolster food security, which is crucial in light of changes in climate patterns and the surging global populace. However, several challenges must be addressed before leveraging its full potential. This review highlights the critical role of genomic selection in speeding up crop breeding for better yields while considering essential factors such as computational power, marker density and trait heritability that influence its efficacy. Furthermore, we delve into recent advances that have been made in this field and how they can revolutionize sustainable agriculture practices. The ultimate goal is to provide insights into how genomics can tackle worldwide agricultural challenges while improving human health and well-being. Genomic selection coupled with speedy breeding techniques provides immense opportunities for farmers worldwide to improve their output significantly. However, before this can be realized on a large scale, careful attention must be given to understanding how these technologies work together effectively and efficiently. With more research being conducted, we look forward to gaining deeper insights into the future possibilities offered by these methods in achieving global food security goals.