English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A mapping population of IR24 (indica) chromosome segment substitution lines (CSSLs) in Asominori (japonica) background was used to detect quantitative trait loci (QTLs) for response to elevated CO2 in yield and its components of rice in free air CO2 enrichment (FACE, atmospheric CO2 plus 200 µmol CO2• mol-1) and natural atmospheric CO2 (Ambient) conditions. Transgressive segregation and continuous distribution in the CSSLs were observed for elevated CO2 response values (the value in FACE minus that in Ambient), in panicle number per plant (PN), grain number per panicle (GN), 1000 grain weight (GW) and yield per plant (YD), suggesting that all the tested traits responding to elevated CO2were quantitatively inherited. Three (qYD-1, qYD-10, qYD-12), two (qPN-5, qPN-10) and one (qGN-1) QTLs were detected for CO2 response to YD, PN and GN, respectively, but non-QTL for GW. Interestingly, both qYD-1 and qGN-1 were located at the same marker interval of C112-C2340, on chromosome 1, and had all positive response values from IR24. The results might be useful for understanding the genetic basis for responding to elevated CO2 and breeding new rice varieties adapted to the higher atmospheric CO2 environment in the future.       Key words: Free air CO2 enrichment (FACE), quantitative trait loci (QTLs), rice (Oryza Sativa L.), yield and its component.

Detection of elevated CO2 responsive QTLs for yield and its components in rice