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Methodology of Analyzing Maize Density Loss in Smallholder’s Fields and Potential Optimize Approach

Author

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  • Zhichao An

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Chong Wang

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Xiaoqiang Jiao

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Zhongliang Kong

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Wei Jiang

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Dong Zhang

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Wenqi Ma

    (College of Resources and Environmental Science, Hebei Agricultural University, Baoding 071000, China)

  • Fusuo Zhang

    (National Academy of Agriculture Green Development, Department of Plant Nutrition, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

Abstract

Increasing plant density is a key measure to close the maize ( Zea mays L.) yield gap and ensure food security. However, there is a large plant density difference in the fields sown by agronomists and smallholders. The primary cause of this phenomenon is the lack of an effective methodology to systematically analyze the density loss. To identify the plant density loss processes from experimental plots to smallholder fields, a research methodology was developed in this study involving a farmer survey and measurements in a smallholder field. The results showed that the sowing density difference caused by farmer decision-making and plant density losses caused by mechanical and agronomic factors explained 15.5%, 5.5% and 6.8% of the plant density difference, respectively. Changing smallholder attitudes toward the value of increasing the plant density could help reduce this density loss and increase farm yields by 12.3%. Therefore, this methodology was effective for analyzing the plant density loss, and to clarify the primary causes of sowing density differences and plant density loss. Additionally, it was beneficial to identify the priorities and stakeholders who share responsibility for reducing the density loss. The methodology has wide applicability to address the sowing density differences and plant density loss in other areas to narrow crop yield gaps and ensure food security.

Suggested Citation

  • Zhichao An & Chong Wang & Xiaoqiang Jiao & Zhongliang Kong & Wei Jiang & Dong Zhang & Wenqi Ma & Fusuo Zhang, 2021. "Methodology of Analyzing Maize Density Loss in Smallholder’s Fields and Potential Optimize Approach," Agriculture, MDPI, vol. 11(6), pages 1-15, May.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:6:p:480-:d:560753
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    References listed on IDEAS

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    1. Deepak K. Ray & Navin Ramankutty & Nathaniel D. Mueller & Paul C. West & Jonathan A. Foley, 2012. "Recent patterns of crop yield growth and stagnation," Nature Communications, Nature, vol. 3(1), pages 1-7, January.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 83-103, February.
    4. Guangfeng Chen & Hongzhu Cao & Jun Liang & Wenqi Ma & Lufang Guo & Shuhua Zhang & Rongfeng Jiang & Hongyan Zhang & Keith W. T. Goulding & Fusuo Zhang, 2018. "Factors Affecting Nitrogen Use Efficiency and Grain Yield of Summer Maize on Smallholder Farms in the North China Plain," Sustainability, MDPI, vol. 10(2), pages 1-18, January.
    5. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    6. Qun Wang & Jun Xue & Guoqiang Zhang & Jianglu Chen & Ruizhi Xie & Bo Ming & Peng Hou & Keru Wang & Shaokun Li, 2020. "Nitrogen Split Application Can Improve the Stalk Lodging Resistance of Maize Planted at High Density," Agriculture, MDPI, vol. 10(8), pages 1-13, August.
    7. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
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    Cited by:

    1. Wang, Hongzhang & Ren, Hao & Zhang, Lihua & Zhao, Yali & Liu, Yuee & He, Qijin & Li, Geng & Han, Kun & Zhang, Jiwang & Zhao, Bin & Ren, Baizhao & Liu, Peng, 2023. "A sustainable approach to narrowing the summer maize yield gap experienced by smallholders in the North China Plain," Agricultural Systems, Elsevier, vol. 204(C).
    2. Shilei Cui & Yajuan Li & Xiaoqiang Jiao & Dong Zhang, 2022. "Hierarchical Linkage between the Basic Characteristics of Smallholders and Technology Awareness Determines Small-Holders’ Willingness to Adopt Green Production Technology," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    3. Wang, Hongzhang & Ren, Hao & Han, Kun & Li, Geng & Zhang, Lihua & Zhao, Yali & Liu, Yuee & He, Qijin & Zhang, Jiwang & Zhao, Bin & Ren, Baizhao & Liu, Peng, 2023. "Improving the net energy and energy utilization efficiency of maize production systems in the North China Plain," Energy, Elsevier, vol. 274(C).

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