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Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed
by
Khan, Shahid Ullah
, Arriagada, Osvin
, Shahzad, Raheel
, Saeed, Sumbul
, Fan, Chuchuan
, Branca, Ferdinando
, Mora-Poblete, Freddy
, Ahmar, Sunny
, Khan, Muhammad Hafeez Ullah
in
Agricultural production
/ Biodiesel fuels
/ Biofuels
/ Brassica napus
/ Brassica napus - genetics
/ Chromosome Mapping
/ Crops
/ Crops, Agricultural - genetics
/ Cultivars
/ Gene mapping
/ Genes
/ Genetic analysis
/ Genetically altered foods
/ Genome, Plant - genetics
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genotyping
/ high-throughput genotyping
/ Humans
/ Linkage analysis
/ multi-locus GWAS
/ Next-generation sequencing
/ Phenotype
/ Plant Breeding
/ Population
/ Population growth
/ Proteins
/ Quantitative Trait Loci
/ Rape plants
/ Review
/ Seeds
/ Sorghum
/ Whole genome sequencing
/ yield-related traits
2021
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Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed
by
Khan, Shahid Ullah
, Arriagada, Osvin
, Shahzad, Raheel
, Saeed, Sumbul
, Fan, Chuchuan
, Branca, Ferdinando
, Mora-Poblete, Freddy
, Ahmar, Sunny
, Khan, Muhammad Hafeez Ullah
in
Agricultural production
/ Biodiesel fuels
/ Biofuels
/ Brassica napus
/ Brassica napus - genetics
/ Chromosome Mapping
/ Crops
/ Crops, Agricultural - genetics
/ Cultivars
/ Gene mapping
/ Genes
/ Genetic analysis
/ Genetically altered foods
/ Genome, Plant - genetics
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genotyping
/ high-throughput genotyping
/ Humans
/ Linkage analysis
/ multi-locus GWAS
/ Next-generation sequencing
/ Phenotype
/ Plant Breeding
/ Population
/ Population growth
/ Proteins
/ Quantitative Trait Loci
/ Rape plants
/ Review
/ Seeds
/ Sorghum
/ Whole genome sequencing
/ yield-related traits
2021
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Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed
by
Khan, Shahid Ullah
, Arriagada, Osvin
, Shahzad, Raheel
, Saeed, Sumbul
, Fan, Chuchuan
, Branca, Ferdinando
, Mora-Poblete, Freddy
, Ahmar, Sunny
, Khan, Muhammad Hafeez Ullah
in
Agricultural production
/ Biodiesel fuels
/ Biofuels
/ Brassica napus
/ Brassica napus - genetics
/ Chromosome Mapping
/ Crops
/ Crops, Agricultural - genetics
/ Cultivars
/ Gene mapping
/ Genes
/ Genetic analysis
/ Genetically altered foods
/ Genome, Plant - genetics
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genotyping
/ high-throughput genotyping
/ Humans
/ Linkage analysis
/ multi-locus GWAS
/ Next-generation sequencing
/ Phenotype
/ Plant Breeding
/ Population
/ Population growth
/ Proteins
/ Quantitative Trait Loci
/ Rape plants
/ Review
/ Seeds
/ Sorghum
/ Whole genome sequencing
/ yield-related traits
2021
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Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed
Journal Article
Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed
2021
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Overview
Yield is one of the most important agronomic traits for the breeding of rapeseed (Brassica napus L), but its genetic dissection for the formation of high yield remains enigmatic, given the rapid population growth. In the present review, we review the discovery of major loci underlying important agronomic traits and the recent advancement in the selection of complex traits. Further, we discuss the benchmark summary of high-throughput techniques for the high-resolution genetic breeding of rapeseed. Biparental linkage analysis and association mapping have become powerful strategies to comprehend the genetic architecture of complex agronomic traits in crops. The generation of improved crop varieties, especially rapeseed, is greatly urged to enhance yield productivity. In this sense, the whole-genome sequencing of rapeseed has become achievable to clone and identify quantitative trait loci (QTLs). Moreover, the generation of high-throughput sequencing and genotyping techniques has significantly enhanced the precision of QTL mapping and genome-wide association study (GWAS) methodologies. Furthermore, this study demonstrates the first attempt to identify novel QTLs of yield-related traits, specifically focusing on ovule number per pod (ON). We also highlight the recent breakthrough concerning single-locus-GWAS (SL-GWAS) and multi-locus GWAS (ML-GWAS), which aim to enhance the potential and robust control of GWAS for improved complex traits.
Publisher
MDPI AG,MDPI
Subject
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