IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v11y2024i10p80.html
   My bibliography  Save this article

Physical Characterization of Cottonseeds in Native Species (Gossypium spp.) From Mexico

Author

Listed:
  • C. Pérez-Mendoza
  • M. R. Tovar-Gómez
  • G. García de los Santos
  • J. Suárez-Espinosa

Abstract

The objective of this research was to do the physical characterization of cotton species (Gossypium spp.) based on the attributes of the seed. The experiment was performed at the Forage Biochemistry Laboratory of the Valle of Mexico Experiment Station, using seed of four cotton species (G. hirsutum, G. aridum, G. lobatum and G. shwendimanii). This research was carried out in two phases- in the first one, the weight of 1000 seeds and the hectolitre weight were determined. In the second one, seed dimensions were obtained by digital images and analysis process. The four cotton species were tested under a completely random experimental design. The data analysis was made by the variance analysis method, Tukey multiple comparison tests of means, principal components and cluster analysis. The results showed significant differences (0.01%) in all the physical characters of the seeds. Based on the grouping analyzes, three groups with contrasting characteristics among the cotton species were identified, being G. hirsutum, the species that presented the highest value in the vector magnitude of the physical characters of the cottonseed. The area, width and weight of 1000 seeds were the main variables that explained 98.6% of the variability existing in the characteristics of the seed, so these physical attributes play an important role in the characterization of the Gossypium native species of Mexico.

Suggested Citation

  • C. Pérez-Mendoza & M. R. Tovar-Gómez & G. García de los Santos & J. Suárez-Espinosa, 2024. "Physical Characterization of Cottonseeds in Native Species (Gossypium spp.) From Mexico," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(10), pages 1-80, April.
  • Handle: RePEc:ibn:jasjnl:v:11:y:2024:i:10:p:80
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/0/0/39894/40958
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/0/39894
    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:ibn:jasjnl:v:11:y:2024:i:10:p:80. 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.