RT Journal Article
T1 Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
A1 López Malvar, Ana
A1 Butrón Gómez, Ana María
A1 Malvar, R. A.
A1 McQueen Mason, S. J.
A1 Faas, L.
A1 Gómez, L. D.
A1 Revilla, P.
A1 Figueroa Garrido, David Jose
A1 Santiago Carabelos, Rogelio
K1 2417.13 Ecología Vegetal
K1 3103.08 Gestión de la Producción Vegetal
K1 3308 Ingeniería y Tecnología del Medio Ambiente
AB Cellulosic ethanol derived from fast growing C4 grasses could become an alternative to finite fossil fuels. With the potential to generate a major source of lignocellulosic biomass, maize has gained importance as an outstanding model plant for studying the complex cell wall network and also to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study (GWAS) was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multi-Parent Advanced Generation Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover. We identified 13 SNPs significantly associated with increased stover yield that corresponded to 13 QTL, and 2 SNPs significantly associated with improved saccharification efficiency, that could be clustered into 2 QTL. We have pointed out the most interesting SNPs to be implemented in breeding programs based on results from analyses of averaged and yearly data. Association mapping in this MAGIC population highlight genomic regions directly linked to traits that influence the final use of maize. Markers linked to these QTL could be used in genomic or marker-assisted selection programs to improve biomass quality for ethanol production. This study opens a possible optimisation path for improving the viability of second-generation biofuels
PB Scientific Reports
SN 20452322
YR 2021
FD 2021-02-09
LK http://hdl.handle.net/11093/2722
UL http://hdl.handle.net/11093/2722
LA eng
NO Scientific Reports, 11(1): 3425 (2021)
NO Plan Estatal de Ciencia y Tecnología de España | Ref. RTI2018–096776-B-C21
DS Investigo
RD 13-dic-2024