IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i2p257-d1333997.html
   My bibliography  Save this article

A Genome-Wide Association Study of Biomass Yield and Feed Quality in Buffel Grass ( Cenchrus ciliaris L.)

Author

Listed:
  • Alemayehu Teressa Negawo

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia)

  • Meki Shehabu Muktar

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia)

  • Ricardo Alonso Sánchez Gutiérrez

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia
    Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias, Campo Experimental Zacatecas, Calera 98500, Zacatecas, Mexico)

  • Ermias Habte

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia)

  • Alice Muchugi

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia)

  • Chris S. Jones

    (Feed and Forage Development Program, International Livestock Research Institute (ILRI), Addis Ababa P.O. Box 5689, Ethiopia
    International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 001000, Kenya)

Abstract

The development of modern genomic tools has helped accelerate genetic gains in the breeding program of food crops. More recently, genomic resources have been developed for tropical forages, providing key resources for developing new climate-resilient high-yielding forage varieties. In this study, we present a genome-wide association study for biomass yield and feed quality traits in buffel grass ( Cenchrus ciliaris L. aka Pennisetum ciliare L.). Genome-wide markers, generated using the DArTSeq platform and mapped onto the Setaria italica reference genome, were used for the genome-wide association study. The results revealed several markers associated with biomass yield and feed quality traits. A total of 78 marker–trait associations were identified with R 2 values ranging from 0.138 to 0.236. The marker–trait associations were distributed across different chromosomes. Of these associations, the most marker–trait associations (23) were observed on Chr9, followed by Chr5 with 12. The fewest number of marker–trait associations were observed on Chr4 with 2. In terms of traits, 17 markers were associated with biomass yield, 24 with crude protein, 26 with TDN, 14 with ADF, 10 with NDF and 6 with DMI. A total of 20 of the identified markers were associated with at least two traits. The identified marker–trait associations provide a useful genomic resource for the future improvement and breeding of buffel grass.

Suggested Citation

  • Alemayehu Teressa Negawo & Meki Shehabu Muktar & Ricardo Alonso Sánchez Gutiérrez & Ermias Habte & Alice Muchugi & Chris S. Jones, 2024. "A Genome-Wide Association Study of Biomass Yield and Feed Quality in Buffel Grass ( Cenchrus ciliaris L.)," Agriculture, MDPI, vol. 14(2), pages 1-27, February.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:2:p:257-:d:1333997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/2/257/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/2/257/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matin Qaim, 2020. "Role of New Plant Breeding Technologies for Food Security and Sustainable Agricultural Development," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 129-150, June.
    2. Xiaolei Liu & Meng Huang & Bin Fan & Edward S Buckler & Zhiwu Zhang, 2016. "Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 12(2), pages 1-24, February.
    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. Stéphan Marette & John Beghin & Anne‐Célia Disdier & Eliza Mojduszka, 2023. "Can foods produced with new plant engineering techniques succeed in the marketplace? A case study of apples," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 414-435, March.
    2. Vincent Smith & Justus H. H. Wesseler & David Zilberman, 2021. "New Plant Breeding Technologies: An Assessment of the Political Economy of the Regulatory Environment and Implications for Sustainability," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    3. Justin N. Vaughn & Sandra E. Branham & Brian Abernathy & Amanda M. Hulse-Kemp & Adam R. Rivers & Amnon Levi & William P. Wechter, 2022. "Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Zoltán Lakner & Brigitta Plasek & Gyula Kasza & Anna Kiss & Sándor Soós & Ágoston Temesi, 2021. "Towards Understanding the Food Consumer Behavior–Food Safety–Sustainability Triangle: A Bibliometric Approach," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    5. Aras Türkoğlu & Kamil Haliloğlu & Metin Tosun & Piotr Szulc & Fatih Demirel & Barış Eren & Henryk Bujak & Halit Karagöz & Marek Selwet & Güller Özkan & Gniewko Niedbała, 2023. "Sodium Azide as a Chemical Mutagen in Wheat ( Triticum aestivum L.): Patterns of the Genetic and Epigenetic Effects with iPBS and CRED-iPBS Techniques," Agriculture, MDPI, vol. 13(6), pages 1-15, June.
    6. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    7. Hai Anh Tran & Hyun Jo & Thi Cuc Nguyen & Jeong-Dong Lee & Hak Soo Seo & Jong Tae Song, 2024. "Genome-Wide Association Analysis for Submergence Tolerance at the Early Vegetative and Germination Stages in Wild Soybean ( Glycine soja )," Agriculture, MDPI, vol. 14(9), pages 1-17, September.
    8. Zhanwei Zhuang & Shaoyun Li & Rongrong Ding & Ming Yang & Enqin Zheng & Huaqiang Yang & Ting Gu & Zheng Xu & Gengyuan Cai & Zhenfang Wu & Jie Yang, 2019. "Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-21, June.
    9. Jayson Beckman & Maros Ivanic & Jeremy Jelliffe, 2022. "Market impacts of Farm to Fork: Reducing agricultural input usage," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1995-2013, December.
    10. Dayakar Peddi & B. Suresh Reddy, 2023. "Analysis of Irrigation Enhancement, Crop Diversification and Farm Profits: Evidence from Telangana State," Review of Development and Change, , vol. 28(2), pages 189-206, December.
    11. Julian M. Alston & Philip G. Pardey, 2020. "Innovation, Growth, and Structural Change in American Agriculture," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 123-165, National Bureau of Economic Research, Inc.
    12. Shazia Kousar & Farhan Ahmed & Amber Pervaiz & Štefan Bojnec, 2021. "Food Insecurity, Population Growth, Urbanization and Water Availability: The Role of Government Stability," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    13. Kym Anderson, 2021. "Food policy in a more volatile climate and trade environment," Departmental Working Papers 2021-25, The Australian National University, Arndt-Corden Department of Economics.
    14. Serena Mandolesi & Emilia Cubero Dudinskaya & Simona Naspetti & Francesco Solfanelli & Raffaele Zanoli, 2022. "Freedom of Choice—Organic Consumers’ Discourses on New Plant Breeding Techniques," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    15. Guangbao Guo & Guoqi Qian & Lu Lin & Wei Shao, 2021. "Parallel inference for big data with the group Bayesian method," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(2), pages 225-243, February.
    16. Gianola, Daniel & Fernando, Rohan L. & Schön, Chris-Carolin, 2020. "Inferring trait-specific similarity among individuals from molecular markers and phenotypes with Bayesian regression," Theoretical Population Biology, Elsevier, vol. 132(C), pages 47-59.
    17. Wawrzyniec Czubak & Jagoda Zmyślona, 2024. "Possibilities of Changes in Energy Intensity of Production Depending on the Scale of Farm Investments in a Polish Region," Energies, MDPI, vol. 17(18), pages 1-14, September.
    18. Tilman Reinhardt, 2023. "The farm to fork strategy and the digital transformation of the agrifood sector—An assessment from the perspective of innovation systems," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 819-838, June.
    19. Stephan S. Marette & Anne-Célia Disdier & John C Beghin, 2020. "A Comparison of EU and US consumers' willingness to pay for gene-edited food: Evidence from apples," PSE Working Papers halshs-02872222, HAL.
    20. John C. Beghin & Christopher R. Gustafson, 2021. "Consumer Valuation of and Attitudes towards Novel Foods Produced with New Plant Engineering Techniques: A Review," Sustainability, MDPI, vol. 13(20), pages 1-17, October.

    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:2:p:257-:d:1333997. 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.