Open AccessGenomics assisted breeding: The need and current perspective for rice improvement in India
Author(s) -
Jawahar Lal Katara,
C. Parameswaran,
B. N. Devanna,
Ram Lakhan Verma,
C. T. A. Kumar,
BC Patra,
Sanghamitra Samantaray
Publication year - 2021
Publication title -
oryza
Language(s) - English
Resource type - Journals
eISSN - 2249-5266
pISSN - 0474-7615
DOI - 10.35709/ory.2021.58.spl.1
Subject(s) - hectare , population , microbiology and biotechnology , biology , staple food , agronomy , molecular breeding , genetic gain , hybrid , breed , productivity , plant breeding , agriculture , genetic variation , ecology , biochemistry , demography , macroeconomics , sociology , gene , economics
With the fast increase of human population and reduction in land areas under cultivation, it is essential to breed rice varieties with higher yield potential and tolerance to multiple stresses using modern breeding technologies. Till date, a large number of rice varieties and rice hybrids have been developed in India for different ecologies. However, average rice production in India is 2600 kg/hectare. Since rice is the staple food in India and grown in ~43.86 million hectare, the present production and productivity are not sufficient enough to feed the increasing population. Therefore, it is required to develop high yielding rice varieties to feed the growing population. However, HYVs are usually amenable to various biotic and abiotic stresses for which there is a great yield loss. Besides, there is no significant increase in yield though a number of high yielding rice varieties have been developed through conventional breeding. Thus, higher genetic gain in rice is required to combat the existing situation which is only possible through advanced breeding approaches such as genomic selection, forward breeding, haplotype-based precision breeding along with genomic tools such as Next-Generation Sequencing (NGS) technology. This review addresses the current progress made in advanced genomic-assisted breeding and need of modern breeding technologies for rice improvement.