气候变化领域集成服务门户(CCPortal): Efficient genomics-based 'end-to-end' selective tree breeding framework

CCPortal

DOI	10.1038/s41437-023-00667-w
	Efficient genomics-based 'end-to-end' selective tree breeding framework
	El-Kassaby, Yousry A.; Cappa, Eduardo P.; Chen, Charles; Ratcliffe, Blaise; Porth, Ilga M.
发表日期	2024
ISSN	0018-067X
EISSN	1365-2540
起始页码	132
结束页码	2
卷号	132 期号:2
英文摘要	Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged to accelerate this process or address environmental contingencies and concerns. Here, we introduce an end-to-end selective tree breeding framework that: (1) leverages strategically preselected GWAS-based sequence data capturing trait architecture information, (2) generates unprecedented resolution of genealogical relationships among tested individuals, and (3) leads to the elimination of the breeding phase through the utilization of readily available wind-pollinated (OP) families. Individuals' breeding values generated from multi-trait multi-site analysis were also used in an optimum contribution selection protocol to effectively manage genetic gain/co-ancestry trade-offs and traits' correlated response to selection. The proof-of-concept study involved a 40-year-old spruce OP testing population growing on three sites in British Columbia, Canada, clearly demonstrating our method's superiority in capturing most of the available genetic gains in a substantially reduced timeline relative to the traditional approach. The proposed framework is expected to increase the efficiency of existing selective breeding programs, accelerate the start of new programs for ecologically and environmentally important tree species, and address climate-change caused biotic and abiotic stress concerns more effectively.
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS类目	Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS记录号	WOS:001135507800001
来源期刊	HEREDITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/295014
作者单位	University of British Columbia; Instituto Nacional de Tecnologia Agropecuaria (INTA); Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET); Oklahoma State University System; Oklahoma State University Center for Health Sciences; Laval University
推荐引用方式 GB/T 7714	El-Kassaby, Yousry A.,Cappa, Eduardo P.,Chen, Charles,et al. Efficient genomics-based 'end-to-end' selective tree breeding framework[J],2024,132(2).
APA	El-Kassaby, Yousry A.,Cappa, Eduardo P.,Chen, Charles,Ratcliffe, Blaise,&Porth, Ilga M..(2024).Efficient genomics-based 'end-to-end' selective tree breeding framework.HEREDITY,132(2).
MLA	El-Kassaby, Yousry A.,et al."Efficient genomics-based 'end-to-end' selective tree breeding framework".HEREDITY 132.2(2024).