Identification and analysis of low light responsive yield enhancing QTLs in rice.

ABSTRACT: Rice is one of the major food crops grown globally. However, during the wet season, rice suffers significant yield loss due to reduced light intensity caused by overcast clouds when the light intensity is only around 450-500 µmol/m²/s, compared to 1400-1800 µmol/m²/s in summer. This reduction in light intensity leads to a decrease in seed yield, mainly by limiting tiller or panicle numbers. Yield and its attributing parameters were recorded in one hundred thirty RILs for four consecutive wet seasons in ambient light (AL) and low light (LL, 35% light-cut using white shade net). QTL analysis was performed using Inclusive Composite Interval Mapping (ICIM) with all the phenotypic data and 927 polymorphic SNPs identified by the 7 K Infinium chip. The study identified a lar

SUBMITTER: Ganguly S 

PROVIDER: S-EPMC11385566 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature