Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
T5-16P-1111
Mapping Quantitative Trait Nucleotides in Spring Wheat for Yield
Performance under Limited Water Conditions
Sonia Sheoran 1* , Arpit Gaur 1,2 , Yogesh Jindal 2 , Vikram Singh 2 , Ratan Tiwari 1 ,
K. J. Yahavantha, Gyanendra Singh 1 and Gyanendra Pratap Singh 1
1 ICAR-Indian Institute of Wheat and Barley Research, Karnal (123001), Haryana, India
2 Chaudhary Charan Singh Haryana Agricultural University, Hisar (125001), Haryana, India
* Sonia.Sheoran@icar.gov.in
Spring wheat is one of the major food crops that provides promising opportunities for present
and future global food security. However, the cultivation and production of spring wheat is
critically getting affected with the shrinking natural resources including water. The increasing
frequencies of agricultural drought in major spring wheat growing regions have become a
limiting factor for the required grain production and meet the global demand of food security.
Therefore, rigorous efforts are required to enhance the drought tolerance features in wheat and
develop climate resilient varieties. Here, a panel of 302 diverse spring wheat lines was
evaluated under irrigated (IR), rainfed (RF) and drought (DT) stress conditions at three
locations (Karnal, Hisar and Pune). However, the drought trials were conducted at Karnal under
rain out shelters and rainfed trials were conducted at Hisar and Pune. A total of fourteen
agronomic traits: days to heading (DTH), days to anthesis (DTA), grain filling duration (GFD),
days to maturity (DTM), number of tillers per plant (NOT), plant height (PH), peduncle length
(PL), spike length (SL), spikelet per spike (SPS), biomass per plant (BM), grain yield per plant
(GY), harvest index (HI), total number of grains per plant (TNG), and thousand kernel weight
(TKW), were observed. Mixed linear analysis of variance (ANOVA) was calculated with
ASREML-R and best linear unbiased estimates were calculated across environments pooled
by water managements. The panel was genotypes using a 35K Axiom Wheat Breeders’ SNP
array followed by SNP processing as per the standard procedures. A compressed mixed linear
model was used to find out the valid associations between markers and traits (MTA) at -log10(p)
≥ 3.0. The ANOVA indicated substantial genetic variability in the association under each trial
and water management. The Q-Q plots indicated substantial controls over false-positive rate.
A total of 637 MTAs were reported for observed traits under IR, RF and DT. These MTAs
were distributed on all chromosomes. Maximum numbers of MTA were reported for BM (43),
PL (63) and PH (32) under IR, RF and DT, respectively. The explained percentage of
phenotypic variance ranged for IR, RF and DT ranged from 4.13 to 52.34, 3.61 to 43.49 and
3.46 to 22.49, respectively. The accumulation of favorable allele showed positive and
polygenic impact on the grain yield under each management. The results were in agreement
with previous studies and show considerable potential to strengthen the genomic assisted wheat
breeding program to achieve the required rate of genetic gain.
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