Applications and challenges for efficient exploration of omics interventions for the enhancement of nutritional quality in rice ( L.).

Clicks: 369
ID: 65483
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #8 of 151 articles by views in critical reviews in food science and nutrition

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 151 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Rice nutritional quality is one of the major concerns along with productivity enhancement to feed the continuously growing population. To address wide-spread malnutrition influencing global health, novel high yielding rice cultivars with better nutritional quality need to be bred. No doubt, the conventional breeding approaches have helped to decrease the gap between demand and supply for yield and nutrition; however, to meet today's demands more advanced approaches need to be employed. This review discusses approaches for the improvement of nutritional quality of rice and gauges the availability of omics resources. Recent omics advances providing numerous tools and techniques for the efficient exploration of genetic resources as well as for the understanding of molecular mechanism involved in the trait development have been discussed. Understanding of genes or loci governing different traits has been found to be effective in accelerating the crop breeding programs. In this regard, approaches like QTL (quantitative trait loci) mapping, genome-wide association study and genomic selection are discussed in light of their utilization for rice nutritional quality improvements. Efficient integration of different omics approaches is recognized as a promising way to achieve the desired improvements in rice cultivars. Therefore, advances in omics branches like transcriptomics, proteomics, ionomics, and metabolomics being efficiently explored for rice improvement programs are also addressed. This article provides a catalog of genes, loci, mutants, online resources and computational approaches for rice improvement. The information provided here will be helpful for pursuing present progress and directing rice research program for better future.
Reference Key
rana2019applicationscritical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rana, Nitika;Rahim, Mohammed Saba;Kaur, Gazaldeep;Bansal, Ruchi;Kumawat, Surbhi;Roy, Joy;Deshmukh, Rupesh;Sonah, Humira;Sharma, Tilak Raj;
Journal critical reviews in food science and nutrition
Year 2019
DOI
10.1080/10408398.2019.1685454
URL
Keywords
nutritional quality biofortification genomic selection oryza sativa conventional rice breeding micronutrient deficiency omics assisted breeding

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.