Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
by
Atena, Oladzad
, Moghaddam, Samira Mafi
, del Río Mendoza Luis E
, Rahman Md Mukhlesur
, Seyedmojtaba, Mansouripour
, Shahoveisi Fereshteh
, Mamidi Sujan
in
Blackleg
/ Chromosomes
/ Datasets
/ Disease resistance
/ Genome-wide association studies
/ Genomes
/ Leptosphaeria maculans
/ Marker-assisted selection
/ Markers
/ Pathogenicity
/ Pathogens
/ Phenotypic variations
/ Polynomials
/ Seedlings
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
by
Atena, Oladzad
, Moghaddam, Samira Mafi
, del Río Mendoza Luis E
, Rahman Md Mukhlesur
, Seyedmojtaba, Mansouripour
, Shahoveisi Fereshteh
, Mamidi Sujan
in
Blackleg
/ Chromosomes
/ Datasets
/ Disease resistance
/ Genome-wide association studies
/ Genomes
/ Leptosphaeria maculans
/ Marker-assisted selection
/ Markers
/ Pathogenicity
/ Pathogens
/ Phenotypic variations
/ Polynomials
/ Seedlings
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
by
Atena, Oladzad
, Moghaddam, Samira Mafi
, del Río Mendoza Luis E
, Rahman Md Mukhlesur
, Seyedmojtaba, Mansouripour
, Shahoveisi Fereshteh
, Mamidi Sujan
in
Blackleg
/ Chromosomes
/ Datasets
/ Disease resistance
/ Genome-wide association studies
/ Genomes
/ Leptosphaeria maculans
/ Marker-assisted selection
/ Markers
/ Pathogenicity
/ Pathogens
/ Phenotypic variations
/ Polynomials
/ Seedlings
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
Journal Article
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Blackleg, caused by Leptosphaeria maculans, is a serious threat to canola (B. napus) production in North Dakota state that is its largest producer in the United States. Genome-wide association study (GWAS) was conducted on a set of 213 B. napus accessions inoculated with a mixture of five L. maculans isolates from pathogenicity group-four (PG-4) to identify genetic regions associated with resistance to this disease. Phenotypic data was obtained at the seedling stage using a 1–9 severity scale. This data was used to generate two binary (binary_3 and binary_5), and two polynomial (polynomial_median and polynomial_3) subsets. Using the median_severity phenotypic dataset (original) three significant markers were identified. By using the other four subsets five additional markers were detected. These eight significant markers (P < 0.00036) were distributed among chromosomes A1, A3, A6, A8, A9, C3, and C5. Two sets of three markers identified using the median_severity (original) and the polynomial_ median datasets, had the highest cumulative R2 values; they explained 36% and 34% of the phenotypic variation, respectively. A BLAST search within ±100 kb of these markers identified five genetic regions involved in the plant defense system. Information presented in this paper shows the benefit of using multiple arrangements of the same phenotypic dataset in GWAS. Furthermore, the markers and their allelic combinations identified in this study are valuable resources that could facilitate marker assisted selection to transfer blackleg resistance into modern breeding lines.
Publisher
Springer Nature B.V
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.