Literature DB >> 27898826

Quantitative Trait Loci Mapping for Tillering-Related Traits in Two Switchgrass Populations.

Dan Chang, Yanqi Wu, Linglong Liu, Shuiyi Lu-Thames, Hongxu Dong, Carla Goad, Shiqie Bai, Shiva Makaju, Tilin Fang.   

Abstract

Plant tillering and related traits are morphologically important components contributing to switchgrass ( L.) biomass yield. The objectives of this study were to estimate broad-sense heritabilities for tillering-related traits, to analyze correlations between biomass yield and the traits, and to identify quantitative trait loci (QTL) for them. A first-generation selfed population of NL94 plant and a hybrid population between NL94 and SL93 plants were field established in a randomized complete block design with three replications in Stillwater and Perkins, OK. Phenotypic data were collected in 2 yr and genotypic data were obtained by genotyping simple-sequence repeat (SSR) markers in the two populations on the basis of two preexisting genetic maps. Plant base size (PBS), plant girth (PG), tillering ability (TA), tiller diameter (TD), and tiller dry weight (TDW) were positively correlated with biomass yield in both populations. Consistently, PBS had the largest correlation coefficients for biomass yield, suggesting its value as an indirect selection criterion for biomass yield. Twenty and 26 QTL for six tillering-related traits were detected in the hybrid and selfed population, respectively. Among the QTL, one on linkage group (LG) 5a between sww-2387/PVCAG-2197/2198 and PVGA-1649/1650 for PBS, PG, and TA and another on LG 2a between sww-2640/sww-2545 and PVCA-765/766 for TD and TDW were stably detected in multiple environments in the two populations. The findings add to the knowledge base regarding the genetics of tillering-related traits that could be used in accelerating the development of high-yielding cultivars through marker-assisted selection.
Copyright © 2016 Crop Science Society of America.

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Year:  2016        PMID: 27898826     DOI: 10.3835/plantgenome2016.01.0010

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  2 in total

1.  Genotyping-by-Sequencing and QTL Mapping of Biomass Yield in Two Switchgrass F1 Populations (Lowland x Coastal and Coastal x Upland).

Authors:  Rasyidah M Razar; Peng Qi; Katrien M Devos; Ali M Missaoui
Journal:  Front Plant Sci       Date:  2022-05-19       Impact factor: 6.627

2.  QTL mapping of winter dormancy and associated traits in two switchgrass pseudo-F1 populations: lowland x lowland and lowland x upland.

Authors:  Rasyidah M Razar; Ali Missaoui
Journal:  BMC Plant Biol       Date:  2020-11-30       Impact factor: 4.215

  2 in total

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