IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i6p1156-d1159513.html
   My bibliography  Save this article

Characterization of Sweet Corn Production in Subtropical Environmental Conditions

Author

Listed:
  • Jessica Paranhos

    (101 Funchess Hall, Department of Horticulture, Auburn University, Auburn, AL 36849, USA)

  • Wheeler Foshee

    (101 Funchess Hall, Department of Horticulture, Auburn University, Auburn, AL 36849, USA)

  • Timothy Coolong

    (1111 Miller Plant Sciences, Department of Horticulture, University of Georgia, Athens, GA 30602, USA)

  • Brian Heyes

    (Mitchell County Extension, University of Georgia Cooperative Extension, Camila, GA 31730, USA)

  • Melba Salazar-Gutierrez

    (101 Funchess Hall, Department of Horticulture, Auburn University, Auburn, AL 36849, USA)

  • Kathelyn Kesheimer

    (105 Extension Hall, Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA)

  • Andre Luiz Biscaia Ribeiro da Silva

    (101 Funchess Hall, Department of Horticulture, Auburn University, Auburn, AL 36849, USA)

Abstract

Weather variability in subtropical environmental conditions of the southeastern U.S. impact sweet corn production in the region, which is one of the most important in the country. Understanding sweet corn performance under these environmental conditions is important to help growers with decision making. Thus, the objectives of this study were to evaluate and characterize the performance of ten commercial sweet corn cultivars exposed to several environmental conditions of the southeastern U.S. and to describe impacts of weather variability on cultivar development, yield, and ear quality. Field experiments were conducted in five locations of the southeastern U.S. during the spring and fall of 2020 and 2021. Weather data, biomass accumulation, yield, and ear quality were measured for all cultivar within seasons and locations. Heavy rainfall events created waterlogging conditions for sweet corn development; however, it was the daily air temperature of seasons that mostly impacted yield and ear quality. Daily air temperatures extended the growing season of spring but reduced crop development in the fall. Consequently, biomass accumulation was generally higher in the spring (4243 kg ha −1 ) compared to the fall (1987 kg ha −1 ). Biomass accumulation translated into yield, which was thereby higher in the spring compared to the fall. Cultivars with great potential against environmental stresses and best performance for most locations were Affection, GSS1170, Passion, and SCI336 in the spring, and Affection, GSS1170, and SC1136 in the fall. Ultimately, sweet corn yield was strongly correlated with ear dimensions but poorly correlated with number of grains in a kernel, suggesting that breeding programs trying to increase potential yield should be focused on ear diameter and length.

Suggested Citation

  • Jessica Paranhos & Wheeler Foshee & Timothy Coolong & Brian Heyes & Melba Salazar-Gutierrez & Kathelyn Kesheimer & Andre Luiz Biscaia Ribeiro da Silva, 2023. "Characterization of Sweet Corn Production in Subtropical Environmental Conditions," Agriculture, MDPI, vol. 13(6), pages 1-14, May.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1156-:d:1159513
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/6/1156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/6/1156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garcia y Garcia, Axel & Guerra, Larry C. & Hoogenboom, Gerrit, 2009. "Water use and water use efficiency of sweet corn under different weather conditions and soil moisture regimes," Agricultural Water Management, Elsevier, vol. 96(10), pages 1369-1376, October.
    2. Ertek, A. & Kara, B., 2013. "Yield and quality of sweet corn under deficit irrigation," Agricultural Water Management, Elsevier, vol. 129(C), pages 138-144.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stepanovic, Strahinja & Rudnick, Daran & Kruger, Greg, 2021. "Impact of maize hybrid selection on water productivity under deficit irrigation in semiarid western Nebraska," Agricultural Water Management, Elsevier, vol. 244(C).
    2. Motazedian, Azam & Kazemeini, Seyed Abdolreza & Bahrani, Mohammad Jafar, 2019. "Sweet corn growth and GrainYield as influenced by irrigation and wheat residue management," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    3. Guangming Yang & Guofang Gong & Qingqing Gui, 2022. "Exploring the Spatial Network Structure of Agricultural Water Use Efficiency in China: A Social Network Perspective," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    4. Gheysari, Mahdi & Pirnajmedin, Fatemeh & Movahedrad, Hamid & Majidi, Mohammad Mahdi & Zareian, Mohammad Javad, 2021. "Crop yield and irrigation water productivity of silage maize under two water stress strategies in semi-arid environment: Two different pot and field experiments," Agricultural Water Management, Elsevier, vol. 255(C).
    5. Talebnejad, R. & Sepaskhah, A.R., 2015. "Effect of deficit irrigation and different saline groundwater depths on yield and water productivity of quinoa," Agricultural Water Management, Elsevier, vol. 159(C), pages 225-238.
    6. Cakmakci, Talip & Sahin, Ustun, 2021. "Improving silage maize productivity using recycled wastewater under different irrigation methods," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Marilyn S. Painagan & Victor B. Ella, 2022. "Modeling the Impact of Deficit Irrigation on Corn Production," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    8. Khorchani, M. & Awada, T. & Schmer, M. & Jin, V. & Birru, G. & Dangal, S.R.S. & Suyker, A. & Freidenreich, A., 2024. "Long-term croplands water productivity in response to management and climate in the Western US Corn Belt," Agricultural Water Management, Elsevier, vol. 291(C).
    9. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    10. Wang, Han & Xiang, Youzhen & Zhang, Fucang & Tang, Zijun & Guo, Jinjin & Zhang, Xueyan & Hou, Xianghao & Wang, Haidong & Cheng, Minghui & Li, Zhijun, 2022. "Responses of yield, quality and water-nitrogen use efficiency of greenhouse sweet pepper to different drip fertigation regimes in Northwest China," Agricultural Water Management, Elsevier, vol. 260(C).
    11. Singh, Manpreet & Singh, Sukhbir & Deb, Sanjit & Ritchie, Glen, 2023. "Root distribution, soil water depletion, and water productivity of sweet corn under deficit irrigation and biochar application," Agricultural Water Management, Elsevier, vol. 279(C).
    12. He, Bohao & Jia, Biying & Zhao, Yanghe & Wang, Xu & Wei, Mao & Dietzel, Ranae, 2022. "Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 267(C).
    13. Teshome, Fitsum T. & Bayabil, Haimanote K. & Schaffer, Bruce & Ampatzidis, Yiannis & Hoogenboom, Gerrit & Singh, Aditya, 2023. "Exploring deficit irrigation as a water conservation strategy: Insights from field experiments and model simulation," Agricultural Water Management, Elsevier, vol. 289(C).
    14. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(C).
    15. Yerli, Caner & Sahin, Ustun & Ors, Selda & Kiziloglu, Fatih Mehmet, 2023. "Improvement of water and crop productivity of silage maize by irrigation with different levels of recycled wastewater under conventional and zero tillage conditions," Agricultural Water Management, Elsevier, vol. 277(C).
    16. Li, Quanqi & Dong, Baodi & Qiao, Yunzhou & Liu, Mengyu & Zhang, Jiwang, 2010. "Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China," Agricultural Water Management, Elsevier, vol. 97(10), pages 1676-1682, October.
    17. Allakonon, M. Gloriose B. & Zakari, Sissou & Tovihoudji, Pierre G. & Fatondji, A. Sènami & Akponikpè, P.B. Irénikatché, 2022. "Grain yield, actual evapotranspiration and water productivity responses of maize crop to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 270(C).

    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:13:y:2023:i:6:p:1156-:d:1159513. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.