IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v10y2020i9p380-d405323.html
   My bibliography  Save this article

Accumulation Dynamics of Starch and Its Granule Size Distribution of Cassava Genotypes at Different Growing Seasons

Author

Listed:
  • Anon Janket

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Nimitr Vorasoot

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Banyong Toomsan

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Wanwipa Kaewpradit

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Piyada Theerakulpisut

    (Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Carl Corley Holbrook

    (Crop Genetics and Breeding Research Unit, USDA-ARS, Tifton, GA 31793, USA)

  • Craig K. Kvien

    (Department of Crop & Soil Sciences, University of Georgia, Tifton, GA 31793, USA)

  • Sanun Jogloy

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand
    Peanut, Jerusalem Artichoke and Cassava Improvement Research Group, Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Poramate Banterng

    (Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand)

Abstract

This study aims to evaluate seasonal variation on starch production of different cassava genotypes planted under irrigated condition. Three cassava genotypes (Kasetsart 50, Rayong 11 and CMR38-125-77) were evaluated in two different growing seasons, i.e., early rainy seasons (ERS) and post rainy seasons (PRS) for two years. A randomized complete block design with four replicates was employed in each growing season. The starch yield was more strongly associated with growing season (28.3%), whereas starch content, amylose content, amylose-amylopectin ratio were more associated with genotypes (19.9–30.7%). Planting cassava in the ERS had rapid growth rates of starch yield and granule size in early growth stages, whereas planting cassava in the PRS had rapid growth rates of these traits in the middle to late growth stages. Cassava planted in the PRS had higher starch yield than the ERS for most genotypes except for Rayong 11, which had no significant differences between growing seasons. The yield and content of starch and size of starch granule continuously increased from four to twelve months after planting (MAP) for most cassava genotypes. Unlike other genotypes, CMR38-125-77 in the ERS gave the highest starch yield and its granule at 10 MAP; however, at 12 MAP, it was still higher than other genotypes. CMR38-125-77 was a preferable genotype, since it had a faster rate of starch formation and more starch and amylose contents, as well as starch yield in both ERS and PRS.

Suggested Citation

  • Anon Janket & Nimitr Vorasoot & Banyong Toomsan & Wanwipa Kaewpradit & Piyada Theerakulpisut & Carl Corley Holbrook & Craig K. Kvien & Sanun Jogloy & Poramate Banterng, 2020. "Accumulation Dynamics of Starch and Its Granule Size Distribution of Cassava Genotypes at Different Growing Seasons," Agriculture, MDPI, vol. 10(9), pages 1-16, August.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:9:p:380-:d:405323
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/10/9/380/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/10/9/380/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Anon Janket & Nimitr Vorasoot & Banyong Toomsan & Wanwipa Kaewpradit & Piyada Theerakulpisut & Carl Corley Holbrook & Craig K. Kvien & Sanun Jogloy & Poramate Banterng, 2021. "Quantitative Evaluation of Macro-Nutrient Uptake by Cassava in a Tropical Savanna Climate," Agriculture, MDPI, vol. 11(12), pages 1-22, November.

    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:gam:jagris:v:10:y:2020:i:9:p:380-:d:405323. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.