NDLI: Quantitative Trait Loci (QTL) Underlying Biomass Yield and Plant Height in Switchgrass

Content Provider	Springer Nature Link
Author	Serba, Desalegn D. Daverdin, Guillaume Bouton, Joseph H. Devos, Katrien M. Brummer, E. Charles Saha, Malay C.
Copyright Year	2014
Abstract	Switchgrass (Panicum virgatum L.) biomass yield and feedstock quality improvement are priority research areas for bioenergy feedstock development. Identification of quantitative trait loci (QTL) underlying these traits and of trait-linked markers for application in marker-assisted selection (MAS) is of paramount importance in facilitating switchgrass breeding. Detection of QTL for biomass yield and plant height was conducted on parental linkage maps constructed using a heterozygous pseudo-F$_{1}$ population derived from a cross between lowland Alamo genotype AP13 and upland Summer genotype VS16. QTL analysis was performed with composite interval mapping. Four QTL for biomass yield and five QTL for plant height were identified using best linear unbiased predictors across ten and eight environments, respectively. The phenotypic variability explained (PVE) by QTL detected in the across environments analysis ranged from 4.9 to 12.4 % for biomass yield and 5.1 to 12.0 % for plant height. A total of 34 and 38 main effect QTL were detected for biomass yield and plant height, respectively, when data from each environment were analyzed separately. The PVE by individual environment QTL ranged from 3.3 to 15.3 % for biomass yield and from 4.3 to 17.4 % for plant height. In addition, 60 and 51 epistatic QTL were detected for biomass yield and plant height, respectively. Significant QTL by environment interactions were detected for QTL mapped in eight genomic regions for each of the two traits. Seven QTL affected both traits and may represent pleiotropic loci. Overall, 11 genomic regions were identified that were important in controlling biomass yield and/or plant height in switchgrass. The markers linked to the main effect and epistatic QTL may be used in MAS to maximize selection gain in switchgrass breeding, leading to a faster development of better biofuel cultivars.
Starting Page	307
Ending Page	324
Page Count	18
File Format	PDF
ISSN	19391234
Journal	BioEnergy Research
Volume Number	8
Issue Number	1
e-ISSN	19391242
Language	English
Publisher	Springer US
Publisher Date	2014-08-30
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Switchgrass QTL Biomass yield Plant height Epistasis Plant Sciences Plant Genetics & Genomics Plant Breeding/Biotechnology Plant Ecology Wood Science & Technology
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment Agronomy and Crop Science

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Quantitative Trait Loci (QTL) Underlying Biomass Yield and Plant Height in Switchgrass

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