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    • Keywords


      combining ability; NCII design; QTL analysis; digenic; multiple alleles.

    • Abstract


      The NCII design (North Carolina mating design II) has been widely applied in studies of combining ability and heterosis. The objective of our research was to estimate how different base populations, sample sizes, testcross numbers and heritability influence QTL analyses of combining ability and heterosis. A series of Monte Carlo simulation experiments with QTL mapping were then conducted for the base population performance, testcross population phenotypic values and the general combining ability (GCA), specific combining ability (SCA) and Hmp (midparental heterosis) datasets. The results indicated that:

      1. increasing the number of testers did not necessarily enhance the QTL detection power for GCA, but it was significantly related to the QTL effect.

      2. The QTLs identified in the base population may be different from those from GCA dataset. Similar phenomena can be seen from QTL detected in SCA and Hmp datasets.

      3. The QTL detection power for GCA ranked in the order of DH(RIL) based > F2 based > BC based NCII design, when the heritability was low.

      The recombinant inbred lines (RILs) (or DHs) allows more recombination and offers higher mapping resolution than other populations. Further, their testcross progeny can be repeatedly generated and phenotyped. Thus, RIL based (or DH based) NCII design was highly recommend for combining ability QTL analysis. Our results expect to facilitate selecting elite parental lines with high combining ability and for geneticists to research the genetic basis of combining ability.

    • Author Affiliations


      Lanzhi Li1 Congwei Sun1 Yuan Chen1 Zhijun Dai1 Zhen Qu2 Xingfei Zheng2 Sibin Yu3 Tongmin Mou3 Chenwu Xu4 Xhongli Hu2

      1. Hunan Provincial Key Laboratory for Biology and Control of Plant Disease and Insect Pests, College of Bio-Safety Science and Technology, Hunan Agricultural University, 410128 Changsha, People’s Republic of China
      2. State Key Laboratory of Hybrid Rice, College of Life Science, Wuhan University, 430072 Wuhan, People’s Republic of China
      3. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070 Wuhan, People’s Republic of China
      4. Division of Biostatistics and Quantitative Genetics, College of Agricultural Science, Yangzhou University, 225009 Yangzhou, People’s Republic of China
    • Dates

    • Supplementary Material

  • Journal of Genetics | News

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      Posted on July 25, 2019

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