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WEED SPECIES ASSOCIATION IN ARABLE FIELDS: OLD APPROACH, NEW APPLICATION

Published online by Cambridge University Press:  25 January 2018

G. CONCENÇO ,
A. ANDRES ,
F. SCHREIBER ,
I. S. MOISINHO ,
M. C. CORADINI  and
M. B. MARTINS
G. CONCENÇO*
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
A. ANDRES
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
F. SCHREIBER
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
I. S. MOISINHO
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
M. C. CORADINI
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
M. B. MARTINS
Affiliation:
Embrapa Clima Temperado, Experimental Station Terras Baixas, Pelotas, RS, Brazil
*
†Corresponding author. Email: germani.concenco@embrapa.br
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Summary

We aimed to assess the potential of the characterization of association among weed species as a tool to understand weed occurrence for further supporting long-term management programs. After a sequence of summer crops, which included irrigated rice and sorghum, the experimental area was submitted to subsoiling, limestone was applied, and ryegrass was planted in the winter season. Six months later, an ACCase-inhibitor herbicide was used to select only non-grassweed species. Field survey was carried out on 100 quadrats with 0.5-m width that were randomly sampled. Plant species were organized in 2 × 2 contingency tables. The results of the calculated chi-squares were compared to the respective tables, and results were presented as a paired chi-square matrix. The species–area curve was also obtained. The relative occurrence of species was determined by its frequency and presented as a wordcloud. The network analysis was obtained by using the Fruchterman–Reingold layout. The hypothesis of plant association aiming survival in arable fields was validated. The methodology of plant association based on the chi-square test was applicable to arable fields, where weed species (usually competitor plant types) occur in clusters. From a practical point of view, preference should be given to herbicides that are efficient on most species within a given cluster.

Type
Research Article
Information
Experimental Agriculture , Volume 55 , Issue 3 , June 2019 , pp. 359 - 370
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Copyright
Copyright © Cambridge University Press 2018 

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References

REFERENCES

Adegas, F. S., Oliveira, M. F., Vieira, O. V., Prete, C. E. C., Gazziero, D. L. P. and Voll, E. (2010). Phytosociological survey of weeds in sunflower crop. Planta Daninha 28:705–716.Google Scholar
Aldrich, R. J. (1984). Weed-Crop Ecology: Principles in Weed Management. North Scituate: Breton.Google Scholar
Barbour, M. G., Burk, J. H. and Pitts, W. D. (1998). Terrestrial Plant Ecology. Menlo Park: Benjamin/Cummings.Google Scholar
Bastiani, M. O., Lamego, F. P., Agostinetto, D., Langaro, A. C. and Silva, D. C. (2016). Relative competitiveness of soybean cultivars with barnyardgrass. Bragantia 75:435–445.Google Scholar
Borsboom, D. and Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review in Clinical Psychology 9:91–121.Google Scholar
Callaway, R. M. (2007). Positive Interactions and Interdependence in Plant Communities. Berlin: Springer.Google Scholar
Chapman, S. B. (1976). Methods in Plant Ecology. Oxford: Blackwell.Google Scholar
Dekker, J. (2009). The Evolutionary Ecology of Weeds and Invasive Plants. Ames: Iowa State University.Google Scholar
Franco, J. J., Agostinetto, D., Langaro, A. C., Perboni, L. T. and Vargas, L. (2017). Relative competitiveness of goosegrass biotypes and soybean crops. Caatinga 30:271–277.Google Scholar
Fruchterman, T. M. J. and Reingold, E. M. (1991). Graph drawing by force-directed placement. Software Practice & Experience 21:1129–1164.Google Scholar
Gurevitch, J., Scheiner, S. M. and Fox, G. A. (2009). Ecologia Vegetal. Porto Alegre: Artmed.Google Scholar
Herben, T., Tackenberg, O. and Klimešová, J. (2016). Reproduction by seed and clonality in plants: Correlated syndromes or independent strategies? Journal of Ecology 104:1696–1706.Google Scholar
Imperatriz-Fonseca, V. L., Saraiva, A. M. and Jong, D. (2006). Bees as Pollinators in Brazil. Ribeirão Preto: Holos.Google Scholar
Jakelaitis, A., Ferreira, L. R., Silva, A. A., Agnes, E. L., Miranda, G. V. and Machado, A. F. L. (2003). Weed population dynamics under different corn and bean production systems. Planta Daninha 21:71–79.Google Scholar
Monquero, P. A. (2014). Aspectos da Biologia e Manejo das Plantas Daninhas. São Carlos: RIMA.Google Scholar
Nicholson, M. (2016). Robert Harding Whittaker and the individualistic hypothesis. Bulletin of the Ecological Society of America 97:154–162.Google Scholar
Paterno, G. B., Siqueira, F. J. A. and Ganade, G. (2016). Species-specific facilitation, ontogenetic shifts and consequences for plant community succession. Journal of Vegetation Science 27:606–615.Google Scholar
Santos, R. N. V., Rodrigues, A. A. C., Silva, M. R. M., Correa, M. J. P. and Mesquita, M. L. R. (2017). Phytosociology and weed interference in okra under organic cropping system. African Journal of Agricultural Research 12:251–259.Google Scholar
Schöb, C., Macek, P., Pistón, N., Kilkvidze, Z. and Pugnaire, F. I. (2017). A trait-based approach to understand the consequences of specific plant interactions for community structure. Journal of Vegetation Science 28:696–704.Google Scholar
Singh, H. P., Batish, D. R. and Hohli, R. K. (2006). Handbook of Sustainable Weed Management. New York: CRC Press.Google Scholar
Spotswood, E. N., Mariotte, P., Farrer, E. C., Nichols, L. and Suding, K. N. (2017). Separating sources of density-dependent and density-independent establishment limitation in invading species. Journal of Ecology 105:436–444.Google Scholar
Tuffi-Santos, L. D., Santos, I. C., Oliveira, C. H., Santos, M. V., Ferreira, F. A. and Queiroz, D. S. (2004). Phyto-sociological assessment of degraded pastures under flooded low land conditions. Planta Daninha 22:343–349.Google Scholar
Voinov, V., Nikulin, M. and Balakrishnan, N. (2013). Chi-Squared Goodness of Fit Tests with Applications. Amsterdam: Elsevier.Google Scholar
Whittaker, R. H. (1960). Vegetation of Siskiyou mountains, Oregon and California. Ecological Monographs 30:279–338.Google Scholar
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