Cereal Research Communications
Volume/Issue:
Volume 35: Issue 3
Optimisation of the weed sampling system from an economic point of view on wheat (Triticum aestivum) stubble
Authors: L. Barkaszi 1 , A. Arutyunjan 2 and K. Takács-György 2
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  • 1 Agricultural Economics Research Institute Department of Farm Analysis Zsil u. 3-5 H-1093 Budapest Hungary
  • 2 Szent István University Institute for Farm Management and Organisation Páter Károly u. 1 H-2103 Gödöllő Hungary
DOI:
https://doi.org/10.1556/crc.35.2007.3.17
Page Count:
1527–1537
Publication Date:
01 Sep 2007
Online Publication Date:
07 Aug 2007
Article Category:
Research Article
Restricted access

It has been proved that because of the different past of the parcels regarding their soil, agronomical and technological parameters, weed sampling results may not be generalised. Therefore it is necessary to study those solutions how to determine on an acceptable confidence level a parcel’s weed infestation with optimised sampling techniques.For studying the question we have delimited on wheat stubble a total sample area of 36×54 metres (using it as reference) and divided it into 2×2 cells giving a total of 486 sample cells. Then we surveyed the weed infestation and GPS recorded the location of each cell.We have analysed the weed infestation data with mathematical and statistical methods comparing the results of cells with each other and with the total sample area. We found that in several cases of different sample cells weed infestation displayed a diverse picture. This way sampling of weeds is extremely difficult.We found close relation between relative frequency of weeds and sampling accuracy. Therefore sampling is reliable only for surveying the frequent weeds in a parcel, while more rarely found weeds (e.g. spots of perennials) are to be scouted only by means of going over the parcel and GPS recording them. Otherwise, in the case of a traditional sampling process, the number of sampling cells required for acceptable reliability is unnecessarily high.Consequently, it is necessary to further study the economic and cost efficiency aspects of the needed weed sample density from the point of view of reasonable sample density, accuracy and optimal yield.

  • Barosso, J., Fernandez-Quintanilla, C., Maxwell, B.D., Rew, L.J. 2004. Simulating the effects of weed spatial pattern and resolution of mapping and spraying on economics of site-specific management. Weed Research 44 :460–468.

    Rew L.J. , 'Simulating the effects of weed spatial pattern and resolution of mapping and spraying on economics of site-specific management ' (2004 ) 44 Weed Research : 460 -468.

    • Search Google Scholar

  • Kis, S., Takács-György, K. 2005. Modelling ecnomic effects of chemical use. Reduction regarding to multifunctional role of agriculture. Stowarzyszenie. Ekonomistów Rolnictva i Agrobizneszu. Roznicki Naukowe. Tom VII. Annals 6 :58–64.

    Takács-György K. , 'Modelling ecnomic effects of chemical use. Reduction regarding to multifunctional role of agriculture. Stowarzyszenie. Ekonomistów Rolnictva i Agrobizneszu ' (2005 ) 6 Roznicki Naukowe. Tom VII. Annals : 58 -64.

    • Search Google Scholar

  • Lamastus, E.F., Shaw, D.R. 2005. Comparison of different sampling scales to estimate weed populations in three soybean fields. Precision Agriculture 6 :271–280.

    Shaw D.R. , 'Comparison of different sampling scales to estimate weed populations in three soybean fields ' (2005 ) 6 Precision Agriculture : 271 -280.

    • Search Google Scholar

  • Maxwell, B.D., Luschei, E.C. 2005. Justification for site-specific weed management based on ecology and economics. Weed Science 53 :221–227.

    Luschei E.C. , 'Justification for site-specific weed management based on ecology and economics ' (2005 ) 53 Weed Science : 221 -227.

    • Search Google Scholar

  • Németh, I., Sárfalvi, B. 1998. Szőlőben és gabonában végzett gyomfelvételezések módszertani értékelése (Methodological analysis of weed survey techniques in vines and in cereals). Növényvédelem 34 :15–22.

    Sárfalvi B. , 'Szőlőben és gabonában végzett gyomfelvételezések módszertani értékelése ' (1998 ) 34 Növényvédelem : 15 -22.

    • Search Google Scholar

  • Reisinger, P., Kőmíves, T., Nagy, S. 2003. A gyomfelvételezés mintasűrűségére vonatkozó vizsgálatok a precíziós gyomszabályozás tervezéséhez (Studies focused on sample density in weed sampling related to the planning of precision weed management). Növényvédelem 39 :413–419.

    Nagy S. , 'A gyomfelvételezés mintasűrűségére vonatkozó vizsgálatok a precíziós gyomszabályozás tervezéséhez ' (2003 ) 39 Növényvédelem : 413 -419.

    • Search Google Scholar

  • Reisinger, P. 2001. Weed surveys on farmlands in Hungary (1947–2000). Magyar Gyomkutatás és Technológia 2 :3–15.

    Reisinger P. , 'Weed surveys on farmlands in Hungary (1947–2000) ' (2001 ) 2 Magyar Gyomkutatás és Technológia : 3 -15.

    • Search Google Scholar

  • Reisinger, P. 1977. A gyomfelvételezési módszerek összehasonlító vizsgálata (Comparative analysis of weed surveying methods). Növényvédelem 13 :359–361.

    Reisinger P. , 'A gyomfelvételezési módszerek összehasonlító vizsgálata ' (1977 ) 13 Növényvédelem : 359 -361.

    • Search Google Scholar

  • Székely, Cs., Kovács, A., Györök, B. 2000. The practice of precious farming from an economic point of view. Gazdálkodás. English Special Edition 1 :56–65.

    Györök B. , 'The practice of precious farming from an economic point of view ' (2000 ) 1 Gazdálkodás. English Special Edition : 56 -65.

    • Search Google Scholar

  • Takács-György, K. 2003. Reduce the chemical use in plant production — How to optimize pests? 14 th IFMA Congress, Perth. Proceedings. Part 1, pp. 783–791.
Cover Cereal Research Communications
Cereal Research Communications A Quarterly of the Cereal Research Non-Profit Ltd. Company
Print ISSN:
0133-3720
Online ISSN:
1788-9170
Keywords:
weed coverage; relative frequency; optimisation of weed sampling

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