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Identification and validation of QTL for grain yield and plant water status under contrasting water treatments in fall-sown spring wheats
Monday, 2018/08/06 | 08:17:29

Junli Zhang, Shiferaw Abate Gizaw, Eligio Bossolini, , Joshua Hegarty, Tyson Howell, Arron H. Carter, Eduard Akhunov, Jorge DubcovskyDescription: Email author

Theoretical and Applied Genetics; August 2018, Volume 131, Issue 8, pp 1741–1759

Key message

Chromosome regions affecting grain yield, grain yield components and plant water status were identified and validated in fall-sown spring wheats grown under full and limited irrigation.

Abstract

Increases in wheat production are required to feed a growing human population. To understand the genetic basis of grain yield in fall-sown spring wheats, we performed a genome-wide association study (GWAS) including 262 photoperiod-insensitive spring wheat accessions grown under full and limited irrigation treatments. Analysis of molecular variance showed that 4.1% of the total variation in the panel was partitioned among accessions originally developed under fall-sowing or spring-sowing conditions, 11.7% among breeding programs within sowing times and 84.2% among accessions within breeding programs. We first identified QTL for grain yield, yield components and plant water status that were significant in at least three environments in the GWAS, and then selected those that were also significant in at least two environments in a panel of eight biparental mapping populations. We identified and validated 14 QTL for grain yield, 15 for number of spikelets per spike, one for kernel number per spike, 11 for kernel weight and 9 for water status, which were not associated with differences in plant height or heading date. We detected significant correlations among traits and colocated QTL that were consistent with those correlations. Among those, grain yield and plant water status were negatively correlated in all environments, and six QTL for these traits were colocated or tightly linked (< 1 cM). QTL identified and validated in this study provide useful information for the improvement of fall-sown spring wheats under full and limited irrigation.

 

See: https://link.springer.com/article/10.1007/s00122-018-3111-9

 

Figure 1: Structure analysis of the 262 lines in the spring wheat association-mapping panel. a The STRUCTURE analysis showed four hypothetical subpopulations represented by different colors. First two components (PC1 and PC2) of a principal component analysis of the spring wheat accessions color coded by b breeding program and planting time at origin (DuF: developed under fall sowing, DuS: developed under spring sowing), or alleles for the c VRN-A1, d VRN-B1 and e VRN-D1 genes

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