Search

Your search keyword '"Bao Qing Ye"' showing total 2 results
Start Over Author "Bao Qing Ye" Publisher bmc
2 results on '"Bao Qing Ye"'

1. Genome-wide identification of markers for selecting higher oil content in oil palm

Author

Bin Bai, Le Wang, May Lee, Yingjun Zhang, Rahmadsyah, Yuzer Alfiko, Bao Qing Ye, Zi Yi Wan, Chin Huat Lim, Antonius Suwanto, Nam-Hai Chua, and Gen Hua Yue

Subjects
RAD-seq, Mapping, QTL, Palm oil content, Oil yield, Botany, QK1-989
Abstract

Abstract Background Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To identify DNA markers associated with oil content traits for MAS, we performed quantitative trait loci (QTL) mapping using genotyping by sequencing (GBS) in a breeding population derived from a cross between Deli Dura and Ghana Pisifera, containing 153 F1 trees. Results We constructed a high-density linkage map containing 1357 SNPs and 123 microsatellites. The 16 linkage groups (LGs) spanned 1527 cM, with an average marker space of 1.03 cM. One significant and three suggestive QTL for oil to bunch (O/B) and oil to dry mesocarp (O/DM) were mapped on LG1, LG8, and LG10 in a F1 breeding population, respectively. These QTL explained 7.6–13.3% of phenotypic variance. DNA markers associated with oil content in these QTL were identified. Trees with beneficial genotypes at two QTL for O/B showed an average O/B of 30.97%, significantly (P

Published
2017
Full Text
View/download PDF

2. Genome-wide identification of markers for selecting higher oil content in oil palm

Author

May Lee, Antonius Suwanto, Zi Yi Wan, Chin Huat Lim, Ying Jun Zhang, Le Wang, Gen Hua Yue, Rahmadsyah, Nam-Hai Chua, Yuzer Alfiko, Bin Bai, Bao Qing Ye, and School of Biological Sciences

Subjects
0106 biological sciences, 0301 basic medicine, Genotyping Techniques, QTL, Palm oil content, Population, Quantitative Trait Loci, Single-nucleotide polymorphism, Plant Science, Quantitative trait locus, Arecaceae, Elaeis guineensis, 01 natural sciences, RAD-seq, 03 medical and health sciences, Genetic linkage, lcsh:Botany, Genotype, Botany, Plant Oils, education, education.field_of_study, biology, Chromosome Mapping, food and beverages, biology.organism_classification, lcsh:QK1-989, Horticulture, 030104 developmental biology, Mapping, Genetic marker, Oil yield, Microsatellite, Genome, Plant, 010606 plant biology & botany, Research Article
Abstract

Background Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To identify DNA markers associated with oil content traits for MAS, we performed quantitative trait loci (QTL) mapping using genotyping by sequencing (GBS) in a breeding population derived from a cross between Deli Dura and Ghana Pisifera, containing 153 F1 trees. Results We constructed a high-density linkage map containing 1357 SNPs and 123 microsatellites. The 16 linkage groups (LGs) spanned 1527 cM, with an average marker space of 1.03 cM. One significant and three suggestive QTL for oil to bunch (O/B) and oil to dry mesocarp (O/DM) were mapped on LG1, LG8, and LG10 in a F1 breeding population, respectively. These QTL explained 7.6–13.3% of phenotypic variance. DNA markers associated with oil content in these QTL were identified. Trees with beneficial genotypes at two QTL for O/B showed an average O/B of 30.97%, significantly (P

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results