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Genomic Selection Outperforms Marker Assisted Selection for Grain Yield and Physiological Traits in a Maize Doubled Haploid Population Across Water Treatments

文献类型： 外文期刊

作者： Cerrudo, Diego 1 ; Cao, Shiliang 2 ; Yuan, Yibing 2 ; Martinez, Carlos 2 ; Antonio Suarez, Edgar 2 ; Babu, Raman 2 ; Z 1 ;

作者机构： 1.Univ Nacl Mar Plata, Fac Agron, Buenos Aires, DF, Argentina

2.Int Maize & Wheat Improvement Ctr CIMMYT, Global Maize Program Physiol, Carretera Mexico Veracruz, Texcoco, Mexico

3.Heilongjiang Acad Agr Sci, Maize Res Inst, Harbin, Heilongjiang, Peoples R China

4.Sichuan Agr Univ, Maize Res Inst, Wenjiang, Peoples R China

5.DowDupont, Hyderabad, Andhra Pradesh, India

6.KWS Grp, Einbeck, Germany

关键词： genomic selection; maize; drought; QTL; DH

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）

ISSN： 1664-462X

年卷期： 2018 年 9 卷

页码：

收录情况： SCI

摘要： To increase genetic gain for tolerance to drought, we aimed to identify environmentally stable QTL in per se and testcross combination under well watered (WW) and drought stressed (DS) conditions and evaluate the possible deployment of QTL using marker assisted and/or genomic selection (QTL/GS-MAS). A total of 169 doubled haploid lines derived from the cross between CML495 and LPSC7F64 and 190 testcrosses (tester CML494) were evaluated in a total of 11 treatment-by-population combinations under WW and DS conditions. In response to DS, grain yield (GY) and plant height (PHT) were reduced while time to anthesis and the anthesis silking interval (ASI) increased for both lines and hybrids. Forty-eight QTL were detected for a total of nine traits. The allele derived from CML495 generally increased trait values for anthesis, ASI, PHT, the normalized difference vegetative index (NDVI) and the green leaf area duration (GLAD; a composite trait of NDVI, PHT and senescence) while it reduced trait values for leaf rolling and senescence. The LOD scores for all detected OIL ranged from 2.0 to 7.2 explaining 4.4 to 19.4% of the observed phenotypic variance with R ranging from 0 (GY, DS, lines) to 37.3% (PHT, WW, lines). Prediction accuracy of the model used for genomic selection was generally higher than phenotypic variance explained by the sum of QTL for individual traits indicative of the polygenic control of traits evaluated here. We therefore propose to use QTL-MAS in forward breeding to enrich the allelic frequency for a few desired traits with strong additive QTL in early selection cycles while GS-MAS could be used in more mature breeding programs to additionally capture alleles with smaller additive effects.

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