IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i12p2140-d1529273.html
   My bibliography  Save this article

Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region

Author

Listed:
  • Ehsan Shakiba

    (Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA)

  • Noah DeWitt

    (School of Plant, Environmental & Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Ali Babar

    (Agronomy Department, University of Florida, Gainesville, FL 32611, USA)

  • Richard E. Boyles

    (Pee Dee Research and Educational Center, Clemson University, Florance, SC 29506, USA)

  • Mohamed Mergoum

    (Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA)

  • Russell Sutton

    (Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77840, USA)

  • Jeanette Lyerly

    (Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
    Retired.)

  • Paul Murphy

    (Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
    Retired.)

  • Stephen Harrison

    (School of Plant, Environmental & Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA)

Abstract

Stripe rust is a severe disease affecting wheat ( Triticum aestivum L.) production in the United States Southeast region, necessitating the identification of resistant sources. The study was conducted at the University of Arkansas, Fayetteville, and utilized a Randomized Block Design over three years. A total of 1130 lines were inoculated annually, and their responses for stripe rust were recorded. The results revealed that 11%, 79%, and 77% of the lines showed resistance in the first, second, and third years, respectively, with an overall 50% of the whole population. Linear Mixed Model and Generalized Estimating Equation analyses highlighted environmental influences, with cooler, humid conditions in 2021 favoring stripe rust, while warmer, variable conditions in 2022 and stable weather in 2023 contributed to lower disease severity. Data analysis of infection rates and disease development indicated that the newer generations of wheat lines tested in 2022 and 2023 exhibited higher resistance lines, lower infection rates, and slower disease progression. The findings support targeted breeding strategies for durable stripe rust resistance, emphasizing the importance of multi-environment testing and selection of lines with adult-plant resistance traits. This research offers valuable insights for breeders, agronomists, and farmers aiming to mitigate stripe rust impact through improved cultivars and informed management practices.

Suggested Citation

  • Ehsan Shakiba & Noah DeWitt & Ali Babar & Richard E. Boyles & Mohamed Mergoum & Russell Sutton & Jeanette Lyerly & Paul Murphy & Stephen Harrison, 2024. "Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region," Agriculture, MDPI, vol. 14(12), pages 1-14, November.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:12:p:2140-:d:1529273
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/12/2140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/12/2140/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xianming Chen, 2020. "Pathogens which threaten food security: Puccinia striiformis, the wheat stripe rust pathogen," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 239-251, April.
    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. Chao Ruan & Yingying Dong & Wenjiang Huang & Linsheng Huang & Huichun Ye & Huiqin Ma & Anting Guo & Yu Ren, 2021. "Prediction of Wheat Stripe Rust Occurrence with Time Series Sentinel-2 Images," Agriculture, MDPI, vol. 11(11), pages 1-19, November.
    2. Ting Zhang & Qingdong Zeng & Fan Ji & Honghong Wu & Rodrigo Ledesma-Amaro & Qingshan Wei & Hao Yang & Xuhan Xia & Yao Ren & Keqing Mu & Qiang He & Zhensheng Kang & Ruijie Deng, 2023. "Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    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:14:y:2024:i:12:p:2140-:d:1529273. 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.