The effects of foliar amino acid and Zn applications on agronomic traits and Zn biofortification in soybean (Glycine max L.)

    Han, S and Sönmez, L and Qureshi, M and Güden, B and Gangurde, S S and Yol, E (2024) The effects of foliar amino acid and Zn applications on agronomic traits and Zn biofortification in soybean (Glycine max L.). Frontiers in Plant Science (TSI), 15. pp. 1-10. ISSN 1664-462X

    Full text not available from this repository. (Request a copy)

    Abstract

    The production and consumption of soybeans are widespread due to their nutritional and industrial value. Nutrient enrichment is vital for improving the nutritional quality of soybeans. This study aimed to evaluate the effect of foliar application of amino acids (AA) and zinc (Zn) on agronomic traits and the accumulation of grain Zn in soybeans. The experimental design comprised 16 treatment combinations involving four levels of amino acid application (0, 50, 100, and 150 ml 100 L-1) and Zn (0, 2, 4, and 6 mg L-1) following a randomized complete block design with three replications in field conditions. The results demonstrated that the application of foliar Zn and AA did not affect the yield, whereas that of AA50*Zn2 and AA150*Zn2 affected the number of pods and branches. The effects of AA application on N and the protein content in grains were determined to be significant. The application of AA100*Zn6 emerged as the most effective treatment for the enhancement of Zn biofortification in soybean grains. The combined foliar application of AA and Zn contributed to enhanced Zn accumulation in the grains.

    Item Type: Article
    Divisions: Center of Excellence in Genomics and Systems Biology
    CRP: UNSPECIFIED
    Uncontrolled Keywords: amino acid, biofortification, mineral nutrition, soybean, zinc
    Subjects: Others > Biofortification
    Depositing User: Mr Nagaraju T
    Date Deposited: 05 Nov 2024 06:06
    Last Modified: 05 Nov 2024 06:06
    URI: http://oar.icrisat.org/id/eprint/12853
    Official URL: https://www.frontiersin.org/journals/plant-science...
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: We appreciate the Scientific Research Projects Coordination Unit of Akdeniz University for continuous support.
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    Altmetric
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.