Advanced search
1 file | 713.90 KB

Genetic and QTL analyses of yield and a set of physiological traits in pepper

(2013) EUPHYTICA. 190(2). p.181-201
Author
Organization
Abstract
An interesting strategy for improvement of a complex trait dissects the complex trait in a number of physiological component traits, with the latter having hopefully a simple genetic basis. The complex trait is then improved via improvement of its component traits. As first part of such a strategy to improve yield in pepper, we present genetic and QTL analyses for four pepper experiments. Sixteen traits were analysed for a population of 149 recombinant inbred lines, obtained from a cross between the large-fruited pepper cultivar ‘Yolo Wonder’ (YW) and the small fruited pepper ‘Criollo de Morelos 334’ (CM334). The marker data consisted of 493 markers assembled into 17 linkage groups covering 1,775 cM. The trait distributions were unimodal, although sometimes skewed. Many traits displayed heterosis and transgression. Heritabilities were high (mean 0.86, with a range between 0.43 and 0.96). A multiple QTL mapping approach per trait and environment yielded 24 QTLs. The average numbers of QTLs per trait was two, ranging between zero and six. The total explained trait variance by QTLs varied between 9 and 61 %. QTL effects differed quantitatively between environments, but not qualitatively. For stem-related traits, the trait-increasing QTL alleles came from parent CM334, while for leaf and fruit related traits the increasing QTL alleles came from parent YW. The QTLs on linkage groups 1b, 2, 3a, 4, 6 and 12 showed pleiotropic effects with patterns that were consistent with the genetic correlations. These results contribute to a better understanding of the genetics of yield-related physiological traits in pepper and represent a first step in the improvement of the target trait yield.
Keywords
Dissection, Genetic Correlation, Component trait, Capsicum annuum, Complex trait, Pleiotropy, PLANT-BREEDING TRIALS, CUCUMBER MOSAIC-VIRUS, CAPSICUM-ANNUUM, PHYTOPHTHORA-CAPSICI, ENVIRONMENT INTERACTIONS, CAPSAICINOID CONTENT, MIXED-MODEL, FRUIT SIZE, RESISTANCE, LOCI

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 713.90 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Alimi, NA, MCAM Bink, JA Dieleman, M Nicolaï, M Wubs, E Heuvelink, J. Magan, et al. 2013. “Genetic and QTL Analyses of Yield and a Set of Physiological Traits in Pepper.” Euphytica 190 (2): 181–201.
APA
Alimi, N., Bink, M., Dieleman, J., Nicolaï, M., Wubs, M., Heuvelink, E., Magan, J., et al. (2013). Genetic and QTL analyses of yield and a set of physiological traits in pepper. EUPHYTICA, 190(2), 181–201.
Vancouver
1.
Alimi N, Bink M, Dieleman J, Nicolaï M, Wubs M, Heuvelink E, et al. Genetic and QTL analyses of yield and a set of physiological traits in pepper. EUPHYTICA. 2013;190(2):181–201.
MLA
Alimi, NA, MCAM Bink, JA Dieleman, et al. “Genetic and QTL Analyses of Yield and a Set of Physiological Traits in Pepper.” EUPHYTICA 190.2 (2013): 181–201. Print.
@article{2974572,
  abstract     = {An interesting strategy for improvement of a complex trait dissects the complex trait in a number of physiological component traits, with the latter having hopefully a simple genetic basis. The complex trait is then improved via improvement of its component traits. As first part of such a strategy to improve yield in pepper, we present genetic and QTL analyses for four pepper experiments. Sixteen traits were analysed for a population of 149 recombinant inbred lines, obtained from a cross between the large-fruited pepper cultivar {\textquoteleft}Yolo Wonder{\textquoteright} (YW) and the small fruited pepper {\textquoteleft}Criollo de Morelos 334{\textquoteright} (CM334). The marker data consisted of 493 markers assembled into 17 linkage groups covering 1,775 cM. The trait distributions were unimodal, although sometimes skewed. Many traits displayed heterosis and transgression. Heritabilities were high (mean 0.86, with a range between 0.43 and 0.96). A multiple QTL mapping approach per trait and environment yielded 24 QTLs. The average numbers of QTLs per trait was two, ranging between zero and six. The total explained trait variance by QTLs varied between 9 and 61 \%. QTL effects differed quantitatively between environments, but not qualitatively. For stem-related traits, the trait-increasing QTL alleles came from parent CM334, while for leaf and fruit related traits the increasing QTL alleles came from parent YW. The QTLs on linkage groups 1b, 2, 3a, 4, 6 and 12 showed pleiotropic effects with patterns that were consistent with the genetic correlations. These results contribute to a better understanding of the genetics of yield-related physiological traits in pepper and represent a first step in the improvement of the target trait yield.},
  author       = {Alimi, NA and Bink, MCAM and Dieleman, JA and Nicola{\"i}, M and Wubs, M and Heuvelink, E and Magan, J. and Voorrips, RE and Jansen, J and Rodrigues, PC and van der Heijden, GWAM and Vercauteren, Annelies and Vuylsteke, Marnik and Song, Y and Glasbey, C and Barosci, A and Lefebvre, V and Palloix, A and van Eeuwijk, FA},
  issn         = {0014-2336},
  journal      = {EUPHYTICA},
  language     = {eng},
  number       = {2},
  pages        = {181--201},
  title        = {Genetic and QTL analyses of yield and a set of physiological traits in pepper},
  url          = {http://dx.doi.org/10.1007/s10681-012-0767-0},
  volume       = {190},
  year         = {2013},
}

Altmetric
View in Altmetric
Web of Science
Times cited: