https://doi.org/10.4081/jae.2020.991 Technical solutions for under-row weed control in vineyards: Efficacy, costs and environmental aspects analysis
Published:16 March 2020
Abstract Views: 1448
PDF: 888
HTML: 416
HTML: 416
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Weed control in vineyards is essential to allow optimal vines development. In this study, three different techniques (hoeing, chemical control, and mulching) used in vineyard’s under-row weed control were compared considering their: operative and economic aspects, energy consumptions and environmental impacts. Trials were performed in a vineyard located in Canelli (AT), Italy, characterized by 3 different gradient slopes (<5%, 10-15%, >20%). Each technique has been tested in 3 adjacent rows per each of the 3 vineyard slopes (randomized block test). Two weed control treatments were performed (at 50 days interval) during the peak vegetation growth period (from mid-April to mid-August). Major families of weeds in the test rows were described and scored (%), and weed control efficiency was measured by comparing the weeds cover area projected to the ground vs the test area. Results highlights that the use of mulching machine and the boom sprayer permits to maintain a weed coverage lower than 30% independently of slope gradient. The hoeing, characterized by low operational costs (26 € h–1) and energy requirement (550 MJ ha–1), scored acceptable working performances, but, in case of heavy rains, it can cause a runoff of the soil. The chemical weed control, also if results a valid choice in term of work quality, is not a valid solution from the environmental point of view. The mulching machine, although shows higher operating costs compared to other machines tested (30 € h–1), can be considered as the most viable alternative to chemical weed control because its working efficiency is comparable to that obtained by the sprayer.
Alletto, L., Coquet, Y., Justes, E. 2011. Effects of tillage and fallow period management on soil physical behavior and maize development. Agric. Water Manag 102: 74-85. DOI: https://doi.org/10.1016/j.agwat.2011.10.008
ASAE American Society of Agricultural Engineers, 1999. ASAE Standards: Agricultural Machinery Management. EP466.2
Arnaez, J., Lasanta, T., Ruiz-Flano, P., Ortigosa, L. 2007. Factors affecting runoff and erosion under simulated rainfall in Mediterranean vineyards. Soil Tillage Res 93, 324-334.
Bailey, A., Basford, W., Penlington, N., Park, J., Keatinge, J., Rehman, T., Tranter, R., Yates, C. 2003. A comparison of energy use in conventional and integrated arable farming in the UK, Agriculture Ecosystems Environment 97: 241-253. DOI: https://doi.org/10.1016/S0167-8809(03)00115-4
Balsari, P., Marucco, P., Vidotto, F., Tesio, F. 2006. Assessment of different techniques for weed control in vineyard. Proceedings of Giornate Fitopatologiche 2006, Riccione (RN), 27-29 March: 529-534 (in Italian).
Castellanos-Navarrete, A., Rodriguez-Aragones, C., De Goede, R.G.M., Kooistra, M.J., Sayre, K.D., Brussaard, L., Pulleman, M.M. 2012. Earthworm activity and soil structural changes under conservation agriculture in central Mexico. Soil Tillage Res 123: 61-70. DOI: https://doi.org/10.1016/j.still.2012.03.011
Chau, H.T.C., Kadokami, K., Duong, H.T., Kong, L., Nguyen, T.T., Nguyen, T.Q., Ito, Y. 2015. Occurrence of 1153 organic micropollutants in the aquatic environment of Vietnam. Environ Sci Pollut Res, 1-10.
Cirujeda, A., Aibar, J., Anzalone, A., Martin-Closas, L., Meco, R., Moreno, M.M., Pardo, A., Pelacho, A.M., Rojo, F., Royo-Esnal, A., Suso, M.L., Zaragoza, C. 2012. Biodegradable mulch instead of polyethylene for weed control of processing tomato production. Agronomy for Sustainable Development 32: 889-897. DOI: https://doi.org/10.1007/s13593-012-0084-y
Dahiya, R., Ingwersen, J., Streck, T. 2007. The effect of mulching and tillage on the water and temperature regimes of a loess soil: experimental findings and modelling. Soil Tillage Res 96: 52-63. DOI: https://doi.org/10.1016/j.still.2007.02.004
Domine, D., Devillers, J., Chastrette, M., Karcher, W. 1993. Estimating pesticide field half-lives from a backpropagation neural network. SAR and QSAR in Environmental Research 1(2-3): 211-219. DOI: https://doi.org/10.1080/10629369308028829
EPA Reregistration Eligibility Decision (RED) Available from https://archive.epa.gov/pesticides/reregistration/web/pdf (2008)
FAOSTAT., 2011. Production – crops – area harvested, 2009 data. Food and Agriculture Organization of the United Nations.
Ferrara, G., Fracchiolla, M., Chami, Z.A., Camposeo, S., Lasorella, C., Pacifico, A., Aly, A., Montemurro, P. 2012. Effects of mulching materials on soil and performance of cv. Nero di Troia Grapevines in the Puglia region, Southern Italy. Am. J. Enol, Vitic. 63(2): 269-276. DOI: https://doi.org/10.5344/ajev.2011.11092
Gonzales-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C., Lopez-Granados, F., Brandstoetter, M., Tomic, S., Pedrazzi, S., Peruzzi, A., Pajares, G., Kaplanis, G., Perez-Ruiz, M., Valero, C., Del Cerro, J., Vieri, M., Rabatel, G., Debilde, B. 2017. Fleets of robots for environmentally-safe pest control in agriculture. Precision Agric 18: 574-614. DOI: https://doi.org/10.1007/s11119-016-9476-3
Grella, M., Gallart, M., Marucco, P., Balsari, P., Gil, E. 2017. Ground deposition and airborne spray drift assessment in vineyard and orchard: the influence of environmental variables and sprayer settings. Sustainability 9(5): 728. DOI: https://doi.org/10.3390/su9050728
Grella, M., Marucco, P., Manzone, M., Balsari, P. 2017. Effect of sprayer settings on spray drift during pesticide application in poplar plantations (Populus spp.). Science of The Total Environment 578: 427-439. DOI: https://doi.org/10.1016/j.scitotenv.2016.10.205
Grill, J.J., Camler, J.P., Carsoulle, J., 1989. The benefit of permanent grass and mulching for limiting runoff and erosion in vineyards. Experimentations using rainfall-simulations in the Beauiolais. In: Schwertmann U, Rickson RJ, Auerseald K (Eds). Soil erosion protection measures in Europe. Proceeding of the European community workshop on Soil Erosion Protection, 24-26 May 1988, Freising, Germany. Catena Verlag Publisher, Cremlingen-Destedt, Germany, pp157-166.
IBM Corp. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. 2013.
Imathiu, S.M., Ray, R.V., Back, M., Hare, M.C., Edwards, S.G., 2009. Fusarium langsethiae pathogenicity and aggressiveness towards oats and wheat in wounded and unwounded in vitro detached leaf assays. Eur. J. Plant Pathol. DOI: https://doi.org/10.1007/s10658-008-9398-7
Iqbal, A., Beaugrand, J., Garnier, P., Recous. S., 2013. Tissue density determines the water storage characteristics of crop residues. Plant Soil 367: 285-299. DOI: https://doi.org/10.1007/s11104-012-1460-8
Hartsough, B. 2003. Economics of harvesting to maintain high structural diversity and resulting damage to residual trees. West J Appl For 18: 133-142. DOI: https://doi.org/10.1093/wjaf/18.2.133
Heap, I. 2013. International survey of herbicide resistance weeds 2013. URI available: http://www.weed reistence.org.
Heap, I., Duke, S.O. 2017. Overview of glyfosate-resistant weeds worldwide, Pest Manag Sci 74(5): 1040-1049.
Keppel, G., Wickens, T.D. 2004. Design and analysis: A researcher’s handbook (4th Edition). Upper Saddle River, NJ: Pearson.
Khan, A.R. 1996. Influence of tillage on soil aeration. Journal of Agronomy and Crop Science 177(4): 253-259. DOI: https://doi.org/10.1111/j.1439-037X.1996.tb00243.x
Khoshnevisan, B., Rafiee, S., Omid, M., Mousazadeh, H. 2013. Developing an artificial neural networks model for predicting output energy and GHG emission of strawberry production. International Journal of Applied Operational Research 3(4): 43-54.
Kitani, O. 1999. Energy and biomass engineering. In: CIGR handbook of agricultural Engineering, Vol V. ASAE publication, 330.
Kolberg, D., Brandsæter, L.O., Bergkvist, G., Solhaug, K.A., Melander, B., Ringselle, B. 2017. Effect of rhizome fragmentation, clover competition, shoot-cutting frequency, and cutting height on quackgrass (Elymus repens). DOI: https://doi.org/10.1017/wsc.2017.65
Kong, L., Kadokami, K., Wang, S, Duong, H.T, Chau, H.T.C. 2015. Monitoring of 1300 organic micro-pollutants in surface waters from Tianjin, North China. Chemosphere 122: 125-130.
Jiang, R., Wang, M., Chen, W., Li, X. 2018. Ecological risk evaluation of combined pollution of herbicide siduron and heavy metals in soils. Science of the total Enviroment 626: 1047-1056. DOI: https://doi.org/10.1016/j.scitotenv.2018.01.135
Jiang, R., Wang, M.E., Chen, W.P. 2017. Joint toxicity assessment of siduron and heavy metals on cucumber and wheat seed germination and seedling growth. Asian J Ecotoxicol 12(3): 542-553.
Lal, R. 2004. Carbon emissions from farm operations. Environ Int 30: 981-990. DOI: https://doi.org/10.1016/j.envint.2004.03.005
Lal, R. 2005. Soil erosion and carbon dynamics. In: special issue, Soil erosion and carbon dynamics. Soil Tillage Res 81(2): 137-142. DOI: https://doi.org/10.1016/j.still.2004.09.002
Le Bissonnais, Y., Blavet, D., De Noni, G., Laurent, J.Y., Asseline, J., Chenu, C. 2007. Erodibility of Mediterranean vineyard soils: relevant aggregate stability methods and significant soil variables. J Soil Sci 58(1): 188-195. DOI: https://doi.org/10.1111/j.1365-2389.2006.00823.x
Lopp, J., Sammul, M. 2016. Beneï¬ts of clonal propagation: impact of imported assimilates from connected ramets. Plant Ecol 217: 315-329. DOI: https://doi.org/10.1007/s11258-016-0573-1
Luo, J., Zheng, Z., Li, T., He, S. 2018. Changes in micro-relief during different water erosive stages of purple soil under simulated rainfall. Scientific Reports 8, Article number: 3483 doi:10.1038/s41598-018-21852-6 DOI: https://doi.org/10.1038/s41598-018-21852-6
Manzone, M., Balsari, P. 2014. Planters performances during a very short rotation Coppice planting. Biomass Bioenerg 67: 188-192. DOI: https://doi.org/10.1016/j.biombioe.2014.04.029
Manzone, M. 2015(a). Energy consumption and CO2 analysis of different types of chippers used in wood biomass plantations. Applied energy 156, 686-692.
Manzone, M. 2015(b). Efficiency of a compactor in wood chip volume reduction. Biomass Bioenerg 80: 303-306. DOI: https://doi.org/10.1016/j.biombioe.2015.06.007
Manzone, M. 2016. Energy and CO2 emission associated with mechanical planters used in biomass plantations. Biomass Bioenerg 87, 156-161.
Martins, D., Goncalves, C.G., Da Silva, A.C. 2016. Winter mulches and chemical control on weeds in maize. Rev. Ciênc. Agron., 47: 649-657.
Mikkola, H.J., Ahokas, J. 2010. Indirect energy input of agricultural machinery in bioenergy production. Renewable Energy 35: 23-28. DOI: https://doi.org/10.1016/j.renene.2009.05.010
Miranda-Fuentes, A., Marucco, P., González-Sánchez, E.J., Gil, E., Grella, M., Balsari, P. 2018. Developing strategies to reduce spray drift in pneumatic spraying in vineyards: Assessment of the parameters affecting droplet size in pneumatic spraying. Sci Total Environ 616-617: 805-815. DOI: https://doi.org/10.1016/j.scitotenv.2017.10.242
Miyata, E.S. 1980. Determining fixed and operating costs of logging equipment. General Technical Report NC-55. Forest Service North Central Forest Experiment Station, St. Paul, MN. 14 pp. DOI: https://doi.org/10.2737/NC-GTR-55
Nachtergaele, J., Poesen, J., Vas Wesemael, B. 1998. Gravel mulching in vineyards of southern Switzerland. Soil Tillage Res 46: 51-59. DOI: https://doi.org/10.1016/S0167-1987(98)80107-4
Narayan, S., Liew, Z., Bronstein, J.M., Ritz, B. 2017. Occupational pesticide use and Parkinson’s disease in the Parkinson Environment Gene (PEG) study. Environment International 107: 266-273. DOI: https://doi.org/10.1016/j.envint.2017.04.010
Oerke, E.C. 2006. Crop losses to pests. Journal of Agricultural Sciences 144, 31-43.
OIV, 2018. Statistical report on world vitiviniculture. Paris, France: International Organisation of Vine and Wine.
Pellizzi, G. 1992. Use of energy and labour in Italian agriculture. Journal of Agricultural Engineering Research 52: 111-119. DOI: https://doi.org/10.1016/0021-8634(92)80054-V
Pimentel, D. 2005. Environmental and economic costs of the application of pesticides primarily in the United States. Environment, Development and Sustainability 7: 229-252.
Powles, S.B., Yu, Q. 2010. Evolution in action: plant resistance to herbicides. Ann Rev Plant Biol 61: 317-347. DOI: https://doi.org/10.1146/annurev-arplant-042809-112119
Proctor, D.E. 1972.Intercompetition between Agropyron repens and peas. Weed Res 12,107-111.
Prosdocimi, M., Jordán, A., Tarolli, P., Keesstra, S., Novara, A., Cerdà . A. 2016. The immediate effectiveness of barley straw mulch in reducing soil erodibility and surface runoff generation in Mediterranean vineyards. Sci. Total Environ. 547: 323-330. DOI: https://doi.org/10.1016/j.scitotenv.2015.12.076
Ringselle, B., Bertholtz, E., Magnuski, E., Brandsæter, L.O., Mangerud, K., Bergkvist, G., 2018. Rhizome fragmentation by vertical disks reduces Elymus repens growth and benefits italian ryegrass-white clover crops. Frontiers in Plant Science 8, Article number 2243. DOI: https://doi.org/10.3389/fpls.2017.02243
Sarauskis, E., Buragiene, S., Masilionyté, L., Romaneckas, K., Avizienyté, D., Sakalauskas, A. 2014. Energy balance, costs and CO2 analysis of tillage technologies in maize cultivation. Energy 69: 227-325.
Smith, K.P. 2013. Water-quality Conditions, and Constituent Loads and Yields in the Cambridge Drinking-water Source Area, Massachusetts, Water Years 2005–07. US Department of the Interior, US Geological Survey. DOI: https://doi.org/10.3133/sir20135039
Song, Y.B., Yu, F.H., Keser, L.H., Dawson, W., Fischer, M., Dong, M. 2013. United we stand, divided we fall: a meta-analysis of experiments on clonal integration and its relationship to invasiveness. Oecologia 171: 317–327.
Stuefer, J.F., Gómez, S., Van Mölken, T. 2004. Clonal integration beyond resource sharing: implications for defence signalling and disease transmission in clonal plant networks. Evol. Ecol. 18: 647-667. DOI: https://doi.org/10.1007/s10682-004-5148-2
Tamagnone, M., Balsari, P., Manzone, M., Bozzer, C. 2011. Comparison of different spraying equipment used for weed control in vineyards and in orchards - 11° Workshop SuProFruit 2011, 8-10 giugno Ctifl Lanxade, France (136-138).
Tukey, J. 1949. Comparing Individual Means in the Analysis of Variance. Biometrics 5(2), 99-114.
Uwizeyimana, H., Wang, M., Chen, W. 2017. Evaluation of combined noxious effects of siduron and cadmium on the earthworm Eisenia fetida. Environ Sci Pollut Res 24(6): 5349-5359. DOI: https://doi.org/10.1007/s11356-016-8220-x
Van Bruggen, A.H.C., He, M.M., Shin, K., Mai, V., Jeong, K.C., Finckh, M.R., Morris, J.G. 2018. Environmental and health effects of the herbicide glyphosate. Science of total Enviroment 616-617: 255-268. DOI: https://doi.org/10.1016/j.scitotenv.2017.10.309
Wang, M., Markert, B., Shen, W., Chen, W., Peng, C., Ouyang, Z. 2011. Microbial biomass carbon and enzyme activities of urban soils in Beijing. Environ. Sci Pollut. Res 18: 958-967. DOI: https://doi.org/10.1007/s11356-011-0445-0
Whittemore, D.O. 2012. Potential impacts of storm water runoff on water quality in urban sand pits and adjacent groundwater. J Am Water Resour Assoc, 48(3): 584-602. DOI: https://doi.org/10.1111/j.1752-1688.2011.00637.x
Zhang, Q., Zhao, L., Wang, J. Wu, F. 2014. Spatiotemporal variability and simulation of tillaged loess microtopography in water erosion. J Soil Water Conserv. 69: 343-351. DOI: https://doi.org/10.2489/jswc.69.4.343
Zhang, X., Zhang, J., Xia, J., Zhang, S., Zhai, J., Wu, H. 2015. Design and experiment on critical component of cultivator for straw returning in paddy field and dry land. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 31(11): 10-16.
How to Cite
Manzone, M. (2020) “Technical solutions for under-row weed control in vineyards: Efficacy, costs and environmental aspects analysis”, Journal of Agricultural Engineering, 51(1), pp. 36–42. doi: 10.4081/jae.2020.991.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Andrea Peruzzi, Luisa Martelloni, Christian Frasconi, Marco Fontanelli, Michel Pirchio, Michele Raffaelli, Machines for non-chemical intra-row weed control in narrow and wide-row crops: a review , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Luisa Martelloni, Christian Frasconi, Mino Sportelli, Marco Fontanelli, Michele Raffaelli, Andrea Peruzzi, Hot foam and hot water for weed control: A comparison , Journal of Agricultural Engineering: Vol. 52 No. 3 (2021)
- Yerong Sun, Kechuan Yi, Agricultural machinery photoelectric automatic navigation control system based on back propagation neural network , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Wei Deng, Chunjiang Zhao, Liping Chen, Xiu Wang, Constant pressure control for variable-rate spray using closed-loop proportion integration differentiation regulation , Journal of Agricultural Engineering: Vol. 47 No. 3 (2016)
- Ziyan Fan, Lijun Li, Zicheng Gao, Fuzzy neural network PID control design of camellia fruit vibration picking manipulator , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Shadrack Kwadwo Amponsah, Ahmad Addo, Komla Dzisi, Jean Moreira, Sali Atanga Ndindeng, Comparative evaluation of mechanised and manual threshing options for Amankwatia and AGRA rice varieties in Ghana , Journal of Agricultural Engineering: Vol. 48 No. 4 (2017)
- Shanwen Zhang, Yongyuan Sun, Su Lu, Li Wang, Sian Liu, Zhongliu Wang, Min Dai, Jicheng Gao, Hong Miao, Design and experiment of brush-roller ginkgo leaf picker for the dwarf dense planting mode , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Alessandro D'Emilio, Simona M.C. Porto, Giovanni Cascone, Marco Bella, Marco Gulino, Mitigating heat stress of dairy cows bred in a free-stall barn by sprinkler systems coupled with forced ventilation , Journal of Agricultural Engineering: Vol. 48 No. 4 (2017)
- Roy Latsch, Joachim Sauter, Optimisation of hot-water application technology for the control of broad-leaved dock (Rumex obtusifolius) , Journal of Agricultural Engineering: Vol. 45 No. 4 (2014)
- Azam Rezaei, Hassan Masoudi, Hassan Zaki Dizaji, Mohamad Esmail Khorasani Ferdavani, Modelling, analysis, and optimisation of the rear axle of cereal combine harvester under real loads using finite elements method , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
You may also start an advanced similarity search for this article.
