IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0282547.html
   My bibliography  Save this article

Effect of growing regions on morphological characteristics, protein subfractions, rumen degradation and molecular structures of various whole-plant silage corn cultivars

Author

Listed:
  • Xinyue Zhang
  • Nazir Ahmad Khan
  • Enyue Yao
  • Fanlin Kong
  • Ming Chen
  • Rifat Ullah Khan
  • Xin Liu
  • Yonggen Zhang
  • Hangshu Xin

Abstract

Little information exists on the variation in morphological characteristics, nutritional value, ruminal degradability, and molecular structural makeup of diverse whole-plant silage corn (WPSC) cultivars among different growing regions. This study investigated the between-regions (Beijing, Urumchi, Cangzhou, Liaoyuan, Tianjin) discrepancies in five widely used WPSC cultivars in China (FKBN, YQ889, YQ23, DK301 and ZD958), in terms of 1) morphological characteristics; 2) crude protein (CP) chemical profile; 3) Cornell Net Carbohydrate and Protein System (CNCPS) CP subfractions; 4) in situ CP degradation kinetics; and 5) CP molecular structures. Our results revealed significant growing region and WPSC cultivar interaction for all estimated morphological characteristics (P

Suggested Citation

  • Xinyue Zhang & Nazir Ahmad Khan & Enyue Yao & Fanlin Kong & Ming Chen & Rifat Ullah Khan & Xin Liu & Yonggen Zhang & Hangshu Xin, 2024. "Effect of growing regions on morphological characteristics, protein subfractions, rumen degradation and molecular structures of various whole-plant silage corn cultivars," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-17, January.
  • Handle: RePEc:plo:pone00:0282547
    DOI: 10.1371/journal.pone.0282547
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0282547
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282547&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0282547?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Matthijs Tollenaar & Jon Fridgen & Priyanka Tyagi & Paul W. Stackhouse Jr & Saratha Kumudini, 2017. "The contribution of solar brightening to the US maize yield trend," Nature Climate Change, Nature, vol. 7(4), pages 275-278, 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. Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
    2. Qimeng Pan & Lysa Porth & Hong Li, 2022. "Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications," Sustainability, MDPI, vol. 14(11), pages 1-24, June.
    3. Han, Lubin & Leng, Guoyong, 2024. "Significant changes in global maize yield sensitivity to vapor pressure deficit during 1983–2010," Agricultural Water Management, Elsevier, vol. 305(C).
    4. Wang, Hong & Sun, Fubao & Wang, Tingting & Liu, Wenbin, 2018. "Estimation of daily and monthly diffuse radiation from measurements of global solar radiation a case study across China," Renewable Energy, Elsevier, vol. 126(C), pages 226-241.
    5. Paulo M. M. Rodrigues & Mirjam Salish & Nazarii Salish, 2024. "Saving for sunny days: The impact of climate (change) on consumer prices in the euro area," Papers 2401.03740, arXiv.org.
    6. Magdalena Cornejo & Nicolás Merener & Ezequiel Merovich, 2024. "Extreme Dry Spells and Larger Storms in the U.S. Midwest Raise Crop Prices," Working Papers 303, Red Nacional de Investigadores en Economía (RedNIE).
    7. Qu, Ziren & Luo, Ning & Guo, Jiameng & Xu, Jie & Wang, Pu & Meng, Qingfeng, 2024. "Enhancing sustainability in the new variety-based low emergy system for maize production by nitrogen optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    8. Tian Han & Ying Wang & Xiao Wang & Kang Chen & Huaiwu Peng & Zhenxin Gao & Lanxin Cui & Wentong Sun & Qinke Peng, 2023. "Mixed Multi-Pattern Regression for DNI Prediction in Arid Desert Areas," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    9. Junjun Cao & Guoyong Leng & Peng Yang & Qingbo Zhou & Wenbin Wu, 2022. "Variability in Crop Response to Spatiotemporal Variation in Climate in China, 1980–2014," Land, MDPI, vol. 11(8), pages 1-13, July.
    10. Yuhe Ji & Guangsheng Zhou & Qijin He & Lixia Wang, 2018. "The Effect of Climate Change on Spring Maize ( Zea mays L.) Suitability across China," Sustainability, MDPI, vol. 10(10), pages 1-10, October.
    11. Ortiz-Bobea, Ariel & Tack, Jesse B., 2018. "Another genetic yield revolution is needed to offset climate change effects on U.S. maize," 2018 Annual Meeting, August 5-7, Washington, D.C. 274380, Agricultural and Applied Economics Association.
    12. Paolo Agnolucci & Vincenzo De Lipsis, 2020. "Long-run trend in agricultural yield and climatic factors in Europe," Climatic Change, Springer, vol. 159(3), pages 385-405, April.
    13. Shan Yu & Aaron M. Kusmec & Li Wang & Dan Nettleton, 2023. "Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 401-422, September.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0282547. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.