Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection

doi:10.2135/cropsci2006.05.0341

CORC > 中国农业科学院 > 作物科学研究所

	Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection
	Wang, Jiankang; Chapman, Scott C.; Bonnett, David G.; Rebetzke, Greg J.; Crouch, Jonathan
刊名	CROP SCIENCE
	2007
卷号	47 期号:2 页码:582-590
ISSN号	0011-183X
DOI	10.2135/cropsci2006.05.0341
通讯作者	Wang, Jiankang
英文摘要	Breeders face many complex choices in the design of efficient crossing and selection strategies aimed at combining desired alleles into a single target genotype. Both population genetic theory and a breeding simulation tool were used to study the effects of different strategies on population size and number of marker assays required to recover a target genotype in wheat (Triticum aestivum L.). Enriching the frequency of desirable alleles in the F-2 of single-cross and in the F-1 of backcross and topcross populations greatly reduced the minimum required population size, but the gain from another enrichment selection is minor. General equations were developed to determine appropriate crossing strategies, and sequential culling was proposed to minimize total marker screening costs. For a topcross of three adapted lines from an existing breeding program, simulation of changes in allele frequencies at nine target genes (seven unlinked) showed that population size was minimized with a three-stage selection strategy in the F-1 generation of the topcross (TCF1), the F-2 generation of the topcross (TCF2), and doubled haploid lines (DHs). Enrichment of allelic frequencies in TCF2 reduced the total number of lines screened from > 3500 to < 600. Eight of the genes were present at frequencies > 0.97 after selection, while the tin reduced-tillering allele was only at 0.77 in the final selected population due to its strong repulsion-phase linkage to the grain quality gene Glu-A3 in this cross and the incomplete linkage of the tin marker. Therefore, the presence of the tin gene needs to be further confirmed by other methods.
学科主题	Agronomy ; AGRONOMY
语种	英语
出版者	CROP SCIENCE SOC AMER
WOS记录号	WOS:000245735800013
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/5682]
专题	作物科学研究所
作者单位	(1)CIMMYT, Crop Res Informat Lab, Mexico City 06600, DF, Mexico;(2)CIMMYT, Genet Resources Enhancement Unit, Mexico City 06600, DF, Mexico;(3)CSIRO Plant Ind, St Lucia, Qld 4067, Australia;(4)CSIRO Plant Ind, Canberra, ACT 2601, Australia;(5)Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China;(6)Chinese Acad Agr Sci, Natl Key Facil Crop Gene Resources & Genet Improv, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jiankang,Chapman, Scott C.,Bonnett, David G.,et al. Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection[J]. CROP SCIENCE,2007,47(2):582-590.
APA	Wang, Jiankang,Chapman, Scott C.,Bonnett, David G.,Rebetzke, Greg J.,&Crouch, Jonathan.(2007).Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection.CROP SCIENCE,47(2),582-590.
MLA	Wang, Jiankang,et al."Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection".CROP SCIENCE 47.2(2007):582-590.