Reciprocal testcross design for genome-wide prediction of maize single-cross performance

被引:2
|
作者
Sweet, Patrick K. [1 ]
Bernardo, Rex [2 ]
机构
[1] Syngenta Seeds, 317 MN-19, Stanton, MN USA
[2] Univ Minnesota, Dept Agron & Plant Genet, St Paul, MN 55108 USA
关键词
HYBRID PERFORMANCE; SELECTION; POPULATIONS; INFORMATION; ACCURACY; TRAITS; YIELD;
D O I
10.1007/s00122-023-04435-6
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Key messageA reciprocal testcross design increases the relatedness among single crosses and testcrosses, thereby increasing the effectiveness of genome-wide prediction in maize.A reciprocal testcross design uses parental inbreds in an opposite heterotic group as testers in maize (Zea mays L.) inbred development. In particular, doubled haploids from the A x B cross are testcrossed with inbreds Y and Z, and doubled haploids from Y x Z are testcrossed with inbreds A and B. Our objective was to determine if a reciprocal testcross design is superior to a traditional, non-reciprocal testcross design. A total of 700 Iowa Stiff Stalk Synthetic (BSSS) doubled haploids and 231 non-BSSS doubled haploids were developed from 10 breeding populations and had data on 11,032 single nucleotide polymorphism markers. Each doubled haploid was testcrossed to one to five testers from the opposite heterotic group, and the resulting 1642 testcrosses were evaluated in multilocation yield trials in 2019. Divergent selection for yield/moisture, on the basis of genome-wide predictions according to a reciprocal testcross design, led to significant responses (in 2020) in all 10 populations for yield/moisture and moisture and in three populations for yield. Predictive ability for yield/moisture and moisture was 0.11 to 0.26 higher with a reciprocal testcross design than with a testcross design. This higher predictive ability was attributed to a stronger relatedness between the training and test populations. No significant difference in predictive ability was found for yield, for which predictive ability was lower. Differences among genetic models that included and excluded specific combining ability were small. Overall, the empirical results supported the usefulness of a reciprocal testcross design in maize breeding.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Genome-Wide Analyses and Prediction of Resistance to MLN in Large Tropical Maize Germplasm
    Nyaga, Christine
    Gowda, Manje
    Beyene, Yoseph
    Muriithi, Wilson T.
    Makumbi, Dan
    Olsen, Michael S.
    Suresh, L. M.
    Bright, Jumbo M.
    Das, Biswanath
    Prasanna, Boddupalli M.
    GENES, 2020, 11 (01)
  • [42] Enhancing genomic prediction with genome-wide association studies in multiparental maize populations
    Bian, Y.
    Holland, J. B.
    HEREDITY, 2017, 118 (06) : 585 - 593
  • [43] Comparative genome-wide segregation analysis and map construction using a reciprocal cross design to facilitate citrus germplasm utilization
    Bernet, G. P.
    Fernandez-Ribacoba, J.
    Carbonell, E. A.
    Asins, M. J.
    MOLECULAR BREEDING, 2010, 25 (04) : 659 - 673
  • [44] Comparative genome-wide segregation analysis and map construction using a reciprocal cross design to facilitate citrus germplasm utilization
    G. P. Bernet
    J. Fernandez-Ribacoba
    E. A. Carbonell
    M. J. Asins
    Molecular Breeding, 2010, 25 : 659 - 673
  • [45] Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data
    Dias, K. O. G.
    Piepho, H. P.
    Guimaraes, L. J. M.
    Guimaraes, P. E. O.
    Parentoni, S. N.
    Pinto, M. O.
    Noda, R. W.
    Magalhaes, J., V
    Guimaraes, C. T.
    Garcia, A. A. F.
    Pastina, M. M.
    THEORETICAL AND APPLIED GENETICS, 2020, 133 (02) : 443 - 455
  • [46] Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL
    Schrag, T. A.
    Melchinger, A. E.
    Sorensen, A. P.
    Frisch, M.
    THEORETICAL AND APPLIED GENETICS, 2006, 113 (06) : 1037 - 1047
  • [47] Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data
    K. O. G. Dias
    H. P. Piepho
    L. J. M. Guimarães
    P. E. O. Guimarães
    S. N. Parentoni
    M. O. Pinto
    R. W. Noda
    J. V. Magalhães
    C. T. Guimarães
    A. A. F. Garcia
    M. M. Pastina
    Theoretical and Applied Genetics, 2020, 133 : 443 - 455
  • [48] Genome-wide identification of housekeeping genes in maize
    Feng Lin
    Lu Jiang
    Yuhe Liu
    Yuanda Lv
    Huixue Dai
    Han Zhao
    Plant Molecular Biology, 2014, 86 : 543 - 554
  • [49] Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm
    Manje Gowda
    Biswanath Das
    Dan Makumbi
    Raman Babu
    Kassa Semagn
    George Mahuku
    Michael S. Olsen
    Jumbo M. Bright
    Yoseph Beyene
    Boddupalli M. Prasanna
    Theoretical and Applied Genetics, 2015, 128 : 1957 - 1968
  • [50] Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm
    Gowda, Manje
    Das, Biswanath
    Makumbi, Dan
    Babu, Raman
    Semagn, Kassa
    Mahuku, George
    Olsen, Michael S.
    Bright, Jumbo M.
    Beyene, Yoseph
    Prasanna, Boddupalli M.
    THEORETICAL AND APPLIED GENETICS, 2015, 128 (10) : 1957 - 1968