IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v5y2013i6p2442-2456d26181.html
   My bibliography  Save this article

Genetic Variation and Phenotypic Response of 15 Sweet Corn ( Zea mays L.) Hybrids to Population Density

Author

Listed:
  • Adrienne C. Shelton

    (Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI 53706, USA
    Department of Agronomy, College of Agricultural and Life Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA)

  • William F. Tracy

    (Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI 53706, USA
    Department of Agronomy, College of Agricultural and Life Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA)

Abstract

Planting sweet corn at higher densities may increase the canopy cover, reducing light transmission to the understory and suppressing weed growth. High planting densities can also negatively impact the crop, however, by decreasing ear size and overall yield. The objective of this study was to determine the potential for increased density tolerance of 15 sweet corn hybrids by estimating the general combining ability (GCA) and specific combining ability (SCA) for traits of interest. In 2010 and 2011, a half-diallel of six historic sweet corn inbreds was evaluated in a split-block randomized complete block design in four Wisconsin environments, with four replicates in each environment. Hybrids were planted at a low density of 29,936 plants ha −1 , a medium density of 63,615 plants ha −1 , and a high density of 97,293 plants ha −1 . Significant differences between hybrids were found for phenomorphological traits and ear characteristics. Inbreds C68, C40 and Ia5125 produced the progeny most tolerant of the highest population density. Among these genotypes, tolerance to high density is a heritable trait, indicating the feasibility of breeding sweet corn for density tolerance and potential weed competitiveness.

Suggested Citation

  • Adrienne C. Shelton & William F. Tracy, 2013. "Genetic Variation and Phenotypic Response of 15 Sweet Corn ( Zea mays L.) Hybrids to Population Density," Sustainability, MDPI, vol. 5(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:5:y:2013:i:6:p:2442-2456:d:26181
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/5/6/2442/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/5/6/2442/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nemecek, Thomas & Dubois, David & Huguenin-Elie, Olivier & Gaillard, Gérard, 2011. "Life cycle assessment of Swiss farming systems: I. Integrated and organic farming," Agricultural Systems, Elsevier, vol. 104(3), pages 217-232, March.
    2. Jared P. Zystro & Natalia De Leon & William F. Tracy, 2012. "Analysis of Traits Related to Weed Competitiveness in Sweet Corn ( Zea mays L.)," Sustainability, MDPI, vol. 4(4), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bosco Justin Shio & Shaomin Guo & Ruifang Zhang & Sikander Khan Tanveer & Jiangbo Hai, 2022. "Diverse Planting Density-Driven Nutrient and Yield Enhancement of Sweet Corn by Zinc and Selenium Foliar Application," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

    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. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    2. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    3. Vogel, Everton & Martinelli, Gabrielli & Artuzo, Felipe Dalzotto, 2021. "Environmental and economic performance of paddy field-based crop-livestock systems in Southern Brazil," Agricultural Systems, Elsevier, vol. 190(C).
    4. Lisa Mølgaard Lehmann & Magdalena Borzęcka & Katarzyna Żyłowska & Andrea Pisanelli & Giuseppe Russo & Bhim Bahadur Ghaley, 2020. "Environmental Impact Assessments of Integrated Food and Non-Food Production Systems in Italy and Denmark," Energies, MDPI, vol. 13(4), pages 1-11, February.
    5. Tuomisto, H.L. & Hodge, I.D. & Riordan, P. & Macdonald, D.W., 2012. "Comparing energy balances, greenhouse gas balances and biodiversity impacts of contrasting farming systems with alternative land uses," Agricultural Systems, Elsevier, vol. 108(C), pages 42-49.
    6. Nina Repar & Pierrick Jan & Thomas Nemecek & Dunja Dux & Martina Alig Ceesay & Reiner Doluschitz, 2016. "Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms," Sustainability, MDPI, vol. 8(12), pages 1-19, December.
    7. Nemecek, Thomas & Huguenin-Elie, Olivier & Dubois, David & Gaillard, Gérard & Schaller, Britta & Chervet, Andreas, 2011. "Life cycle assessment of Swiss farming systems: II. Extensive and intensive production," Agricultural Systems, Elsevier, vol. 104(3), pages 233-245, March.
    8. Lars Biernat & Friedhelm Taube & Ralf Loges & Christof Kluß & Thorsten Reinsch, 2020. "Nitrous Oxide Emissions and Methane Uptake from Organic and Conventionally Managed Arable Crop Rotations on Farms in Northwest Germany," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    9. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    10. Pradeleix, L. & Roux, P. & Bouarfa, S. & Bellon-Maurel, V., 2023. "Multilevel life cycle assessment to evaluate prospective agricultural development scenarios in a semi-arid irrigated region of Tunisia," Agricultural Systems, Elsevier, vol. 212(C).
    11. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    12. Longlong Tang & Kiyotada Hayashi & Kazunori Kohyama & Ai Leon, 2018. "Reconciling Life Cycle Environmental Impacts with Ecosystem Services: A Management Perspective on Agricultural Land Use," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    13. Pradeleix, L. & Roux, P. & Bouarfa, S. & Bellon-Maurel, V., 2022. "Multilevel environmental assessment of regional farming activities with Life Cycle Assessment: Tackling data scarcity and farm diversity with Life Cycle Inventories based on Agrarian System Diagnosis," Agricultural Systems, Elsevier, vol. 196(C).
    14. Houshyar, Ehsan & Grundmann, Philipp, 2017. "Environmental impacts of energy use in wheat tillage systems: A comparative life cycle assessment (LCA) study in Iran," Energy, Elsevier, vol. 122(C), pages 11-24.
    15. Liang, Long & Lal, Rattan & Ridoutt, Bradley G. & Zhao, Guishen & Du, Zhangliu & Li, Li & Feng, Dangyang & Wang, Liyuan & Peng, Peng & Hang, Sheng & Wu, Wenliang, 2018. "Multi-indicator assessment of a water-saving agricultural engineering project in North Beijing, China," Agricultural Water Management, Elsevier, vol. 200(C), pages 34-46.
    16. Berti, Marisol & Johnson, Burton & Ripplinger, David & Gesch, Russ & Aponte, Alfredo, 2017. "Environmental impact assessment of double- and relay-cropping with winter camelina in the northern Great Plains, USA," Agricultural Systems, Elsevier, vol. 156(C), pages 1-12.
    17. Robert Idziak & Zenon Woznica, 2020. "E fficacy of Reduced Rates of Soil-Applied Dimethenamid-P and Pendimethalin Mixture Followed by Postemergence Herbicides in Maize," Agriculture, MDPI, vol. 10(5), pages 1-11, May.
    18. El Chami, D. & Daccache, A., 2015. "Assessing sustainability of winter wheat production under climate change scenarios in a humid climate — An integrated modelling framework," Agricultural Systems, Elsevier, vol. 140(C), pages 19-25.
    19. Chen, Xuqi & Gao, Zhifeng & Swisher, Marilyn & House, Lisa & Zhao, Xin, 2018. "Eco-labeling in the Fresh Produce Market: Not All Environmentally Friendly Labels Are Equally Valued," Ecological Economics, Elsevier, vol. 154(C), pages 201-210.
    20. Forte, Annachiara & Zucaro, Amalia & De Vico, Gionata & Fierro, Angelo, 2016. "Carbon footprint of heliciculture: A case study from an Italian experimental farm," Agricultural Systems, Elsevier, vol. 142(C), pages 99-111.

    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:jsusta:v:5:y:2013:i:6:p:2442-2456:d:26181. 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.