IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v203y2022ics0308521x22001317.html
   My bibliography  Save this article

Nutrient use efficiency of intensive dairy farms in China – Current situation and analyses of options for improvement

Author

Listed:
  • Tan, Meixiu
  • Hou, Yong
  • Zhang, Ling
  • Shi, Shengli
  • Long, Weitong
  • Ma, Yifei
  • Zhang, Tao
  • Oenema, Oene

Abstract

Global dairy production contributes a relatively large share of the total emissions of nitrogen (N) and phosphorus (P) to air and water bodies, which are a concern. However, there are large differences among dairy farming systems in performance, and these differences are not well understood. This relates especially to emerging market economies such as China, where dairy production is increasing, and where new dairy farms are relatively large, intensive, and on small areas of farmland.

Suggested Citation

  • Tan, Meixiu & Hou, Yong & Zhang, Ling & Shi, Shengli & Long, Weitong & Ma, Yifei & Zhang, Tao & Oenema, Oene, 2022. "Nutrient use efficiency of intensive dairy farms in China – Current situation and analyses of options for improvement," Agricultural Systems, Elsevier, vol. 203(C).
  • Handle: RePEc:eee:agisys:v:203:y:2022:i:c:s0308521x22001317
    DOI: 10.1016/j.agsy.2022.103495
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X22001317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2022.103495?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuanyuan Du & Ying Ge & Yuan Ren & Xing Fan & Kaixuan Pan & Linshan Lin & Xu Wu & Yong Min & Laura A. Meyerson & Mikko Heino & Scott X. Chang & Xiaozi Liu & Feng Mao & Guofu Yang & Changhui Peng & Zel, 2018. "A global strategy to mitigate the environmental impact of China’s ruminant consumption boom," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    2. Wu, Dong & Fang, Shibo & Li, Xuan & He, Di & Zhu, Yongchao & Yang, Zaiqiang & Xu, Jiaxin & Wu, Yingjie, 2019. "Spatial-temporal variation in irrigation water requirement for the winter wheat-summer maize rotation system since the 1980s on the North China Plain," Agricultural Water Management, Elsevier, vol. 214(C), pages 78-86.
    3. Shuqin Jin & Bin Zhang & Bi Wu & Dongmei Han & Yu Hu & Chenchen Ren & Chuanzhen Zhang & Xun Wei & Yan Wu & Arthur P. J. Mol & Stefan Reis & Baojing Gu & Jie Chen, 2021. "Decoupling livestock and crop production at the household level in China," Nature Sustainability, Nature, vol. 4(1), pages 48-55, January.
    4. Quemada, M. & Lassaletta, L. & Jensen, L.S. & Godinot, O. & Brentrup, F. & Buckley, C. & Foray, S. & Hvid, S.K. & Oenema, J. & Richards, K.G. & Oenema, O., 2020. "Exploring nitrogen indicators of farm performance among farm types across several European case studies," Agricultural Systems, Elsevier, vol. 177(C).
    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. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    2. Jianxing Chen & Xuesong Gao & Yanyan Zhang & Petri Penttinen & Qi Wang & Jing Ling & Ting Lan & Dinghua Ou & Yang Li, 2023. "Analysis on Coupling Coordination Degree for Cropland and Livestock from 2000 to 2020 in China," Agriculture, MDPI, vol. 13(7), pages 1-20, June.
    3. Wei, Zhibiao & Zhuang, Minghao & Hellegers, Petra & Cui, Zhenling & Hoffland, Ellis, 2023. "Towards circular nitrogen use in the agri-food system at village and county level in China," Agricultural Systems, Elsevier, vol. 209(C).
    4. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
    5. Ruan, Hongwei & Yu, Jingjie & Wang, Ping & Hao, Lingang & Wang, Zhenlong, 2023. "Relieving water stress by optimizing crop structure is a practicable approach in arid transboundary rivers of Central Asia," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Li, Zhou & Zhang, Qingping & Wei, Wanrong & Cui, Song & Tang, Wei & Li, Yuan, 2020. "Determining effects of water and nitrogen inputs on wheat yield and water productivity and nitrogen use efficiency in China: A quantitative synthesis," Agricultural Water Management, Elsevier, vol. 242(C).
    7. Jiayue Wang & Liangjie Xin & Xue Wang & Min Jiang, 2022. "The Impact of Climate Change and Grain Planting Structure Change on Irrigation Water Requirement for Main Grain Crops in Mainland China," Land, MDPI, vol. 11(12), pages 1-22, November.
    8. Zemin Zhang & Changhe Lu, 2019. "Spatio-Temporal Pattern Change of Winter Wheat Production and Its Implications in the North China Plain," Sustainability, MDPI, vol. 11(11), pages 1-14, May.
    9. Shen Yuan & Bruce A. Linquist & Lloyd T. Wilson & Kenneth G. Cassman & Alexander M. Stuart & Valerien Pede & Berta Miro & Kazuki Saito & Nurwulan Agustiani & Vina Eka Aristya & Leonardus Y. Krisnadi &, 2021. "Sustainable intensification for a larger global rice bowl," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    10. Ren, Pinpin & Huang, Feng & Li, Baoguo, 2022. "Spatiotemporal patterns of water consumption and irrigation requirements of wheat-maize in the Huang-Huai-Hai Plain, China and options of their reduction," Agricultural Water Management, Elsevier, vol. 263(C).
    11. Liu, Min & Xu, Wenli & Zhang, Hangyu & Chen, Huang & Bie, Qiang & Han, Guodong & Yu, Xiaohua, 2022. "Livestock production, greenhouse gas emissions, air pollution, and grassland conservation: Quasi-natural experimental evidence," MPRA Paper 115704, University Library of Munich, Germany.
    12. Zhe Zhao & Xiangzheng Deng & Fan Zhang & Zhihui Li & Wenjiao Shi & Zhigang Sun & Xuezhen Zhang, 2022. "Scenario Analysis of Livestock Carrying Capacity Risk in Farmland from the Perspective of Planting and Breeding Balance in Northeast China," Land, MDPI, vol. 11(3), pages 1-13, March.
    13. Löw, Philipp & Osterburg, Bernhard, 2024. "Evaluation of nitrogen balances and nitrogen use efficiencies on farm level of the German agricultural sector," Agricultural Systems, Elsevier, vol. 213(C).
    14. Calogero Schillaci & Tommaso Tadiello & Marco Acutis & Alessia Perego, 2021. "Reducing Topdressing N Fertilization with Variable Rates Does Not Reduce Maize Yield," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    15. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    16. Kun Jia & Wei Zhang & Bingyan Xie & Xitong Xue & Feng Zhang & Dongrui Han, 2022. "Does Climate Change Increase Crop Water Requirements of Winter Wheat and Summer Maize in the Lower Reaches of the Yellow River Basin?," IJERPH, MDPI, vol. 19(24), pages 1-12, December.
    17. Fang, Guozhu & Zhang, Xiaoheng & Qi, Chunjie, 2021. "Are Integrated Crop-Livestock Systems More Technical Efficiency? Evidence from Small Farmers in China," 2021 Conference, August 17-31, 2021, Virtual 315129, International Association of Agricultural Economists.
    18. Anzhen Qin & Dongfeng Ning & Zhandong Liu & Sen Li & Ben Zhao & Aiwang Duan, 2022. "Impacts of Irrigation Time and Well Depths on Farmers’ Costs and Benefits in Maize Production," Agriculture, MDPI, vol. 12(4), pages 1-15, March.
    19. Yiming Sang & Liangjie Xin, 2023. "Factors Determining Concurrent Reclamation and Abandonment of Cultivated Land on the Qinghai-Tibet Plateau," Land, MDPI, vol. 12(5), pages 1-17, May.
    20. Yu, Jingxin & Zhang, Xin & Xu, Linlin & Dong, Jing & Zhangzhong, Lili, 2021. "A hybrid CNN-GRU model for predicting soil moisture in maize root zone," Agricultural Water Management, Elsevier, vol. 245(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:eee:agisys:v:203:y:2022:i:c:s0308521x22001317. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.