The impact of genomics in identifying blackleg disease resistance genes in canola

William Thomas; Junrey Amas; Tingting Wu; Aldrin Cantila; Linh Ton; Jacqueline Batley

The impact of genomics in identifying blackleg disease resistance genes in canola

William Thomas, Junrey Amas, Tingting Wu, Aldrin Cantila, Linh Ton, Jacqueline Batley

Research output: Chapter in Book/Conference paper › Chapter › peer-review

Abstract

Blackleg disease, caused by the fungal pathogen Leptosphaeria maculans, poses a serious threat to canola (Brassica napus) production worldwide. However, the deployment of resistance (R) genes is a cost-effective, reliable and sustainable measure for managing the disease. This chapter reports the recent advances in sequencing and genomics, and how they have been vital for the rapid identification of R genes responsible for conferring blackleg resistance in canola. Promising new genomic technologies which may accelerate future identification efforts are also discussed.

Original language	English
Title of host publication	Next-generation Sequencing and Agriculture
Publisher	CABI
Chapter	2
Pages	24-38
ISBN (Electronic)	9781789247831, 9781789247848
ISBN (Print)	9781789247824
Publication status	Published - 2022

Cite this

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title = "The impact of genomics in identifying blackleg disease resistance genes in canola",

abstract = "Blackleg disease, caused by the fungal pathogen Leptosphaeria maculans, poses a serious threat to canola (Brassica napus) production worldwide. However, the deployment of resistance (R) genes is a cost-effective, reliable and sustainable measure for managing the disease. This chapter reports the recent advances in sequencing and genomics, and how they have been vital for the rapid identification of R genes responsible for conferring blackleg resistance in canola. Promising new genomic technologies which may accelerate future identification efforts are also discussed.",

author = "William Thomas and Junrey Amas and Tingting Wu and Aldrin Cantila and Linh Ton and Jacqueline Batley",

year = "2022",

language = "English",

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TY - CHAP

T1 - The impact of genomics in identifying blackleg disease resistance genes in canola

AU - Thomas, William

AU - Amas, Junrey

AU - Wu, Tingting

AU - Cantila, Aldrin

AU - Ton, Linh

AU - Batley, Jacqueline

PY - 2022

Y1 - 2022

N2 - Blackleg disease, caused by the fungal pathogen Leptosphaeria maculans, poses a serious threat to canola (Brassica napus) production worldwide. However, the deployment of resistance (R) genes is a cost-effective, reliable and sustainable measure for managing the disease. This chapter reports the recent advances in sequencing and genomics, and how they have been vital for the rapid identification of R genes responsible for conferring blackleg resistance in canola. Promising new genomic technologies which may accelerate future identification efforts are also discussed.

AB - Blackleg disease, caused by the fungal pathogen Leptosphaeria maculans, poses a serious threat to canola (Brassica napus) production worldwide. However, the deployment of resistance (R) genes is a cost-effective, reliable and sustainable measure for managing the disease. This chapter reports the recent advances in sequencing and genomics, and how they have been vital for the rapid identification of R genes responsible for conferring blackleg resistance in canola. Promising new genomic technologies which may accelerate future identification efforts are also discussed.

M3 - Chapter

SN - 9781789247824

SP - 24

EP - 38

BT - Next-generation Sequencing and Agriculture

PB - CABI

ER -

The impact of genomics in identifying blackleg disease resistance genes in canola

Abstract

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