IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1424-d144540.html

Spatial Layout of Multi-Environment Test Sites: A Case Study of Maize in Jilin Province

Author

Listed:
  • Zuliang Zhao

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China
    Current address: Department of Computer Science, The City College of New York, New York, NY, USA.)

  • Liu Zhe

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China)

  • Xiaodong Zhang

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China)

  • Xuli Zan

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China)

  • Xiaochuang Yao

    (Satellite Data Technology Division Institute of Remote Sensing and Digital Earth, CAS, Beijing 100093, China)

  • Sijia Wang

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China)

  • Sijing Ye

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Shaoming Li

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Dehai Zhu

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing 100083, China)

Abstract

Variety regional tests based on multiple environments play a critical role in understanding the high yield and adaptability of new crop varieties. However, the current approach mainly depends on experience from breeding experts and is difficulty to promote because of inconsistency between testing and actual situation. We propose a spatial layout method based on the existing systematic regional test network. First, the method of spatial clustering was used to cluster the planting environment. Then, we used spatial stratified sampling to determine the minimum number of test sites in each type of environment. Finally, combined with the factors such as the convenience of transportation and the planting area, we used spatial balance sampling to generate the layout of multi-environment test sites. We present a case study for maize in Jilin Province and show the utility of the method with an accuracy of about 94.5%. The experimental results showed that 66.7% of sites are located in the same county and the unbalanced layout of original sites is improved. Furthermore, we conclude that the set of operational technical ideas for carrying out the layout of multi-environment test sites based on crop varieties in this paper can be applied to future research.

Suggested Citation

  • Zuliang Zhao & Liu Zhe & Xiaodong Zhang & Xuli Zan & Xiaochuang Yao & Sijia Wang & Sijing Ye & Shaoming Li & Dehai Zhu, 2018. "Spatial Layout of Multi-Environment Test Sites: A Case Study of Maize in Jilin Province," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1424-:d:144540
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1424/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/5/1424/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dan Wang & Guangyong Li & Yan Mo & Mingkun Cai & Xinyang Bian, 2017. "Effect of Planting Date on Accumulated Temperature and Maize Growth under Mulched Drip Irrigation in a Middle-Latitude Area with Frequent Chilling Injury," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    2. Anton Grafström & Niklas L. P. Lundström & Lina Schelin, 2012. "Spatially Balanced Sampling through the Pivotal Method," Biometrics, The International Biometric Society, vol. 68(2), pages 514-520, June.
    3. Manfred M. Fischer & Jinfeng Wang, 2011. "Spatial Data Analysis," SpringerBriefs in Regional Science, Springer, number 978-3-642-21720-3, November.
    4. Qingfeng Meng & Peng Hou & David Lobell & Hongfei Wang & Zhenling Cui & Fusuo Zhang & Xinping Chen, 2014. "The benefits of recent warming for maize production in high latitude China," Climatic Change, Springer, vol. 122(1), pages 341-349, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    2. Ebelechukwu Maduekwe & Walter Timo de Vries, 2019. "Random Spatial and Systematic Random Sampling Approach to Development Survey Data: Evidence from Field Application in Malawi," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
    3. Xuli Zan & Zuliang Zhao & Wei Liu & Xiaodong Zhang & Zhe Liu & Shaoming Li & Dehai Zhu, 2019. "The Layout of Maize Variety Test Sites Based on the Spatiotemporal Classification of the Planting Environment," Sustainability, MDPI, vol. 11(13), pages 1-15, July.

    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. Lorenzo Fattorini & Timothy G. Gregoire & Sara Trentini, 2018. "The Use of Calibration Weighting for Variance Estimation Under Systematic Sampling: Applications to Forest Cover Assessment," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(3), pages 358-373, September.
    2. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    3. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    4. Scott D. Foster & Emma Lawrence & Andrew J. Hoskins, 2024. "Spatially Clustered Survey Designs," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 29(1), pages 130-146, March.
    5. Guga, Suri & Bole, Yi & Riao, Dao & Bilige, Sudu & Wei, Sicheng & Li, Kaiwei & Zhang, Jiquan & Tong, Zhijun & Liu, Xingpeng, 2025. "The challenge of chilling injury amid shifting maize planting boundaries: A case study of Northeast China," Agricultural Systems, Elsevier, vol. 222(C).
    6. Taras Agryzkov & Leandro Tortosa & José F Vicent & Richard Wilson, 2019. "A centrality measure for urban networks based on the eigenvector centrality concept," Environment and Planning B, , vol. 46(4), pages 668-689, May.
    7. Ahmet Koncak & Gökhan Konat, 2023. "A Study on Interregional Determinants of Infant Mortality Rate in Turkey with Spatial Econometric Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 149-170, June.
    8. Beyda Demirci & Ferda Yerdelen Tatoğlu, 2024. "Spatial Econometric Analysis of the Ecological Footprint of European Countries," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 74(2), pages 593-614, December.
    9. Fischer, Manfred M. & LeSage, James P., 2018. "The role of socio-cultural factors in static trade panel models," Working Papers in Regional Science 2018/04, WU Vienna University of Economics and Business.
    10. Vecci, Joseph & Zelinsky, Tomas, 2017. "A Spatial Analysis of Foreign Aid and Civil Society," Working Papers in Economics 688, University of Gothenburg, Department of Economics.
    11. Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
    12. Bardia Panahbehagh & Raphaël Jauslin & Yves Tillé, 2024. "A general stream sampling design," Computational Statistics, Springer, vol. 39(6), pages 2899-2924, September.
    13. Justyna Wilk, 2015. "Using symbolic data in gravity model of population migration to reduce modifiable areal unit problem (MAUP)," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 243-264, June.
    14. Montero Lorenzo, José María, 2004. "El precio medio del metro cuadrado de la vivienda libre: Una aproximación metodológica desde la perspectiva de la Geoestadística," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-18, Diciembre.
    15. Maxime Dumont & Guilhem Brunel & Paul Tresson & Jérôme Nespoulous & Hassan Boukcim & Marc Ducousso & Stéphane Boivin & Olivier Taugourdeau & Bruno Tisseyre, 2024. "Operational sampling designs for poorly accessible areas based on a multi-objective optimization method," Post-Print hal-04566087, HAL.
    16. Justyna Wilk, 2015. "Using Symbolic Data In Gravity Model Of Population Migration To Reduce Modifiable Areal Unit Problem (Maup)," Statistics in Transition New Series, Polish Statistical Association, vol. 16(2), pages 243-264, June.
    17. Sadasivuni, R. & Cooke, W.H. & Bhushan, S., 2013. "Wildfire risk prediction in Southeastern Mississippi using population interaction," Ecological Modelling, Elsevier, vol. 251(C), pages 297-306.
    18. Linda Altieri & Daniela Cocchi, 2021. "Spatial Sampling for Non‐compact Patterns," International Statistical Review, International Statistical Institute, vol. 89(3), pages 532-549, December.
    19. Roberto Machado, 2017. "Crecimiento económico e infraestructura de transportes y comunicaciones en el Perú," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 9-46.
    20. Robertson, Blair & Price, Chris, 2024. "One point per cluster spatially balanced sampling," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jsusta:v:10:y:2018:i:5:p:1424-:d:144540. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.