IDEAS home Printed from https://ideas.repec.org/a/mth/jas888/v11y2023i4p15-38.html
   My bibliography  Save this article

Evaluation of Baby Corn Genotypes on Productivity and Quality traits in Bangladesh

Author

Listed:
  • Mohammed Hossain Sarker
  • Md. Abdul Quddus
  • Md. Abdus Sattar
  • Mohammad Rezaul Karim
  • Md. Anarul Islam
  • Md. Toriqul Islam
  • Razu Ahmed
  • M. Matin Akand
  • Kazi Mohammad Fahid Hossain

Abstract

Baby corn is very nutritious crop and the current demand is increasing in Bangladesh, but lacking of promising and high yielding variety. Hence, the study was conducted during the winter season of 2015-16 to evaluate twenty baby corn genotypes on the basis of quality, yield and yield contributing traits, and to find out the suitable genotype for yield maximization and quality improvement of baby corn through proper agronomic management. Twenty baby corn genotypes were planted in a randomized complete block design with three replications. As per result, the Baby Star genotype got highest cob yield with husk (11.9 t ha-1) and cob yield without husk (3.02 t ha-1) followed by Dream Sweet 3 and MSC 001. Maximum protein (11.03%) and starch content (57.03%) were recorded in Baby Star. The most total soluble solid (9.51%) was recorded in Dream Sweet-3 genotype. Baby star genotype followed by Dream Sweet 3 and MSC 001 were better than other genotypes in terms of yield attributes. Grouping of genotypes through multivariate (cluster) analysis on yield, yield attributes and quality parameters indicated that the cluster II showed higher performance among other clusters that means Baby Star, Dream Sweet-3 and MSC No.001 were better among twenty genotypes. Results suggest that Baby star followed by Dream Sweet-3 and MSC No.001 genotype can be recommended as potential baby corn genotypes for cultivation in Bangladesh and release as a variety. Some genotypes with specific features might be potential used in genetic resources for the future improvement of breeding program useful for baby corn expansion.

Suggested Citation

  • Mohammed Hossain Sarker & Md. Abdul Quddus & Md. Abdus Sattar & Mohammad Rezaul Karim & Md. Anarul Islam & Md. Toriqul Islam & Razu Ahmed & M. Matin Akand & Kazi Mohammad Fahid Hossain, 2023. "Evaluation of Baby Corn Genotypes on Productivity and Quality traits in Bangladesh," Journal of Agricultural Studies, Macrothink Institute, vol. 11(4), pages 15-38, December.
    • Handle: RePEc:mth:jas888:v:11:y:2023:i:4:p:15-38
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/jas/article/download/21439/16560
    Download Restriction: no
    File URL: https://www.macrothink.org/journal/index.php/jas/article/view/21439
    Download Restriction: no
    ---><---

    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:mth:jas888:v:11:y:2023:i:4:p:15-38. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/jas .

    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.