Designing climate-resilient rice with ideal grain quality suited for high-temperature stress

Nese Sreenivasulu, Vito M. Butardo, Gopal Misra, Rosa Paula Cuevas, Roslen Anacleto, Polavarpu B.Kavi Kishor

Research output: Contribution to journalReview articlepeer-review

72 Citations (Scopus)

Abstract

To ensure rice food security, the target outputs of future rice breeding programmes should focus on developing climate-resilient rice varieties with emphasis on increased head rice yield coupled with superior grain quality. This challenge is made greater by a world that is increasingly becoming warmer. Such environmental changes dramatically impact head rice and milling yield as well as increasing chalkiness because of impairment in starch accumulation and other storage biosynthetic pathways in the grain. This review highlights the knowledge gained through gene discovery via quantitative trait locus (QTL) cloning and structural-functional genomic strategies to reduce chalk, increase head rice yield, and develop stable lines with optimum grain quality in challenging environments. The newly discovered genes and the knowledge gained on the influence of specific alleles related to stability of grain quality attributes provide a robust platform for marker-assisted selection in breeding to design heat-tolerant rice varieties with superior grain quality. Using the chalkiness trait in rice as a case study, we demonstrate here that the emerging field of systems genetics can help fast-track the identification of novel alleles and gene targets that can be pyramided for the development of environmentally robust rice varieties that possess improved grain quality.

Original languageEnglish
Pages (from-to)1737-1748
Number of pages12
JournalJournal of Experimental Botany
Volume66
Issue number7
Early online dateFeb 2015
DOIs
Publication statusPublished - 01 Apr 2015

Fingerprint Dive into the research topics of 'Designing climate-resilient rice with ideal grain quality suited for high-temperature stress'. Together they form a unique fingerprint.

Cite this