Genomic Dissection of Peduncle Morphology in Barley through Nested Association Mapping

Straw biomass and stability are crucial for stable yields. Moreover, straw harbors the potential to serve as a valuable raw material for bio-economic processes. The peduncle is the top part of the last shoot internode and carries the spike. This study investigates the genetic control of barley peduncle morphology. Therefore, 1411 BC1S3 lines of the nested association mapping (NAM) population “Halle Exotic Barley 25” (HEB-25), generated by crossing the spring barley elite cultivar Barke with an assortment of 25 exotic barley accessions, were used. Applying 50k Illumina Infinium iSelect SNP genotyping yielded new insights and a better understanding of the quantitative trait loci (QTL) involved in controlling the peduncle diameter traits, we found the total thickness of peduncle tissues and the area of the peduncle cross-section. We identified three major QTL regions on chromosomes 2H and 3H mainly impacting the traits. Remarkably, the exotic allele at the QTL on chromosome 3H improved all three traits investigated in this work. Introgressing this QTL in elite cultivars might facilitate to adjust peduncle morphology for improved plant stability or enlarged straw biomass production independent of flowering time and without detrimental effects on grain yield.

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Combined Linkage and Association Mapping of Quantitative Trait Loci by Multiple Markers

Genetics ◽

10.1534/genetics.104.035147 ◽

2005 ◽

Vol 170 (2) ◽

pp. 881-898 ◽

Cited By ~ 12

Author(s):

Jeesun Jung ◽

Ruzong Fan ◽

Lei Jin

Keyword(s):

Quantitative Trait Loci ◽

Association Mapping ◽

Quantitative Trait ◽

Multiple Markers ◽

Trait Loci

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Combined Linkage and Association Mapping of Quantitative Trait Loci with Missing Completely at Random Genotype Data

Behavior Genetics ◽

10.1007/s10519-008-9194-3 ◽

2008 ◽

Vol 38 (3) ◽

pp. 316-336

Author(s):

Ruzong Fan ◽

Lian Liu ◽

Jeesun Jung ◽

Ming Zhong

Keyword(s):

Quantitative Trait Loci ◽

Association Mapping ◽

Quantitative Trait ◽

Genotype Data ◽

Missing Completely At Random ◽

Trait Loci

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Rapid and robust association mapping of expression quantitative trait loci

BMC Proceedings ◽

10.1186/1753-6561-1-s1-s144 ◽

2007 ◽

Vol 1 (S1) ◽

Cited By ~ 11

Author(s):

Alex C Lam ◽

Michael Schouten ◽

Yurii S Aulchenko ◽

Chris S Haley ◽

Dirk-Jan de Koning

Keyword(s):

Quantitative Trait Loci ◽

Association Mapping ◽

Quantitative Trait ◽

Expression Quantitative Trait Loci ◽

Trait Loci

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Association Mapping of Malting Quality Quantitative Trait Loci in Winter Barley: Positive Signals from Small Germplasm Arrays

The Plant Genome ◽

10.3835/plantgenome2011.07.0020 ◽

2011 ◽

Vol 4 (3) ◽

pp. 256-272 ◽

Cited By ~ 30

Author(s):

Lucía Gutiérrez ◽

Alfonso Cuesta-Marcos ◽

Ariel J. Castro ◽

Jarislav von Zitzewitz ◽

Mark Schmitt ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Association Mapping ◽

Quantitative Trait ◽

Winter Barley ◽

Malting Quality ◽

Trait Loci

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Characterization of natural provenances of Acacia mangium Willd. and Acacia auriculiformis A. Cunn. ex Benth. in Malaysia based on phenotypic traits

Journal of Forest Science ◽

10.17221/82/2016-jfs ◽

2017 ◽

Vol 63 (No. 12) ◽

pp. 562-576

Author(s):

Asif Muhammad Javed ◽

Dorairaj Deivaseeno ◽

Wickneswari Ratnam

Keyword(s):

Quantitative Trait Loci ◽

Association Mapping ◽

Quantitative Trait ◽

Acacia Mangium ◽

Acacia Auriculiformis ◽

Phenotypic Traits ◽

Homogeneous Population ◽

Stem Straightness ◽

Trait Loci ◽

Planting Materials

Acacia mangium Willdenow and Acacia auriculiformis A. Cunningham ex Bentham and their hybrid have become important planting species in Malaysia. Due to their high demand and consumption, development of high quality planting materials is desired. Conventional breeding of Acacia Miller is slow but the utilization of marker-assisted selection breeding can expedite the breeding process. Markers associated with quantitative trait loci (QTLs) required pedigreed populations whereas association mapping can be used directly on diverse germplasm. This study was conducted to screen provenances of A. mangium and A. auriculiformis of different geographical origins for their performance under the Malaysian environment. A. mangium exhibited superior traits compared to A. auriculiformis. More trait variation was observed within and between provenances of A. auriculiformis. Provenances from Queensland (QLD) were superior to those from Papua New Guinea (PNG) and Northern Territory. The best performing provenance with all three superior traits was from Claude River QTL of A. mangium and the worst was Bensbach Western Province, PNG belonging to A. auriculiformis. For individual traits like DBH, Morehead, PNG was superior. For plant height, Morehead, PNG was the superior provenance for A. mangium and Morehead River, QLD was from A. auriculiformis. For stem straightness the A. auriculiformis provenance Jardines Garden, QTL was superior to West of Morehead (PNG) for A. mangium. Multivariate analysis grouped provenances together based on similar traits and genetic similarity. These provenances can be used for seed families which can be treated as a homogeneous population for association mapping or for the development of segregating hybrid populations for Acacia breeding. For the purpose of utilization, provenances of A. mangium can be used for sawn timber. For fuelwood and charcoal industries, A. auriculiformis provenances should be preferred by selecting multi-stemmed trees. The most variable provenances with superior phenotypic traits can be integrated with the genotypic data e.g. single nucleotide polymorphism markers for association mapping to identify quantitative trait loci for marker-assisted breeding.

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