IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v9y2017i2p188.html
   My bibliography  Save this article

Analysis of Genotype by Environment Interaction of Improved Pearl Millet for Grain Yield and Rust Resistance

Author

Listed:
  • G. Lubadde
  • P. Tongoona
  • J. Derera
  • J. Sibiya

Abstract

Pearl millet is grown by inhabitants of the semi-arid zones. Due to the unpredictable climatic conditions the genotype-by-environment interaction (GEI) makes it hard to select genotypes adapted to such conditions. The study objectives therefore were to analyse the patterns of GEI and to identify superior genotypes for grain yield and rust resistance. Seventy six genotypes were planted in four environments in 4×19 alpha design with two replications. The ANOVA results showed that main effects of environments were significant (p ≤ 0.05) for grain yield and highly significant (p ≤ 0.001) for rust resistance while the main effects of the genotypes and their interactions with environments were also important for grain yield and rust severity at 50% physiological maturity. The GGE biplot analysis revealed that environments associated with more rains received during vegetative phase performed better than those receiving more rains during post-anthesis phase. The winner in the best environment for grain yield was ICMV3771×SDMV96053 while Shibe×CIVT9206 and Shibe×GGB8735 were the best for rust resistance.

Suggested Citation

  • G. Lubadde & P. Tongoona & J. Derera & J. Sibiya, 2017. "Analysis of Genotype by Environment Interaction of Improved Pearl Millet for Grain Yield and Rust Resistance," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 9(2), pages 188-188, January.
  • Handle: RePEc:ibn:jasjnl:v:9:y:2017:i:2:p:188
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/62615/35513
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/62615
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Charles Andiku & Geofrey Lubadde & Charles J. Aru & Michael A. Ugen & Johnie Ebiyau, 2024. "Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 12(6), pages 1-98, April.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:9:y:2017:i:2:p:188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.