Agronomy Science, przyrodniczy lublin, czasopisma up, czasopisma uniwersytet przyrodniczy lublin
Skip to main navigation menu Skip to main content Skip to site footer
Agronomy Science Baner text

Vol. 78 No. 1 (2023)

Articles

Weed infestation of soybean depending on the cultivar and row spacing under organic and conventional cultivation conditions

DOI: https://doi.org/10.24326/as.2023.5005
Submitted: November 15, 2022
Published: 09.06.2023

Abstract

An experiment in growing soybean was conducted at the Czesławice Experimental Farm, belonging to the University of Life Sciences in Lublin, over the period 2018–2020. Three experimental factors were included in this study: cultivation method (conventional and organic), soybean cultivar (Aldana and Merlin), and row spacing (22.5 cm and 35 cm). The species composition, number, and air-dry weight of weeds were evaluated. The Shannon-Wiener diversity index (H’) and the Simpson dominance index (SI) were also calculated for the weed community in the soybean crop. Compared to conventional farming, organic cultivation significantly increased the number and dry weight of weeds as well as the numbers of the dominant species Echinochloa crus-galli. A significantly higher number and dry weight of weeds were found in the cv. Aldana crop than in the case of Merlin. In comparison with narrow-row cultivation, sowing soybean at the wider row spacing resulted in a greater number of weeds, in particular of the species Echinochloa crus-galli. Interrow width in the soybean crop did not cause differences in weed dry weight. The experimental factors slightly modified the Shannon-Wiener (H’) and Simpson (SI) indices.

References

  1. Abbasi Surki A., Sharifzade F., Tavakkol Afshari R., Majnoun Hosseini N., Gazor, H.R., 2010. Optimization of processing parameters of soybean seeds dried in a constant-bed dryer using re-sponse surface methodology. J. Agric. Sci. Technol. 12(4), 409–423.
  2. Adigun J.A., Adeyemi O.R., Daramola O.S., Olorunmaiye P.M., 2020. Response of cowpea to inter-row spacing and weed competition. Agric. Trop. Subtrop. 53(2), 73–79. https://doi.org/10.2478/ats-2020-0008 DOI: https://doi.org/10.2478/ats-2020-0008
  3. Chojnacka S., Haliniarz M., 2020. Wpływ preparatów biologicznych na plonowanie, zachwaszcze-nie i jakość ziarna pszenicy orkisz. Agron. Sci. 75(4), 63–74. http://doi.org/10.24326/ as.2020.4.5 DOI: https://doi.org/10.24326/as.2020.4.5
  4. Cox W.J., Hanchar J.J., Cherney J., 2018. Agronomic and economic performance of maize, soy-bean, and wheat in different rotations during the transition to an organic cropping system. Agronomy 8(9), 192. https://doi.org/10.3390/agronomy8090192 DOI: https://doi.org/10.3390/agronomy8090192
  5. Daramola O.S., Adeyemi O.R., Adigun J.A., Adejuyigbe C.O., 2020. Weed interference and control in soybean as affected by row spacing in the transition of south west Nigeria. J. Crop. Improv. 34(1), 103–121. https://doi.org/10.1080/15427528.2019.1674759 DOI: https://doi.org/10.1080/15427528.2019.1674759
  6. Daramola O.S., Adeyemi O.R., Adigun J.A., Adejuyigbe C.O., 2022. Influence of row spacing and weed control methods on weed population dynamics in soybean (Glycine max L.). Int. J. Pest Manag. 68(1), 43–58. https://doi.org/10.1080/09670874.2020.1795300 DOI: https://doi.org/10.1080/09670874.2020.1795300
  7. Faligowska A., Panasiewicz K., Szymańska G., Ratajczak K., Sulewska H., Agnieszka Pszczółkow-ska A., Kocira A., 2020. Influence of farming system on weed infestation and on productivity of narrow-leaved lupin (Lupinus angustifolius L.). Agriculture 10(10), 459. https://doi.org/10.3390/agriculture10100459 DOI: https://doi.org/10.3390/agriculture10100459
  8. Filoda G., Mrówczyński M. (red.), 2016. Metodyka integrowanej ochrony i produkcji soi dla dorad-ców. Wyd. IOR-PIB w Poznaniu, 7–9.
  9. Gawęda D., Cierpiała R., Harasim E., Wesołowski M., Bujak K., 2015. Weed infestation of soybean (Glycine max L. Merr.) under different tillage systems. Acta Agrobot. 68(1), 53–58. https://doi.org/10.5586/aa.2015.005 DOI: https://doi.org/10.5586/aa.2015.005
  10. Gawęda D., Haliniarz M., Bronowicka-Mielniczuk U., Łukasz J., 2020. Weed infestation and health of the soybean crop depending on cropping system and tillage system. Agriculture 10(6), 208. https://doi.org/10.3390/agriculture10060208 DOI: https://doi.org/10.3390/agriculture10060208
  11. Hutianskyi R., Popov S., Zuza V., Kuzmenko N., 2021. Dependence of soybean weed infestation on growing conditions in the Eastern Forest-Steppe of Ukraine. Quarant. Plant Protect. 2, 36–41. https://doi.org/10.36495/2312-0614.2021.2.36-41 DOI: https://doi.org/10.36495/2312-0614.2021.2.36-41
  12. Kraska P., Andruszczak S., Kwiecińska-Poppe E., Staniak M., Różyło K., Rusecki H., 2020. Sup-porting crop and different row spacing as factors influencing weed infestation in lentil crop and seed yield under organic farming conditions. Agronomy 10(1), 9. https://doi.org/10.3390/agronomy10010009 DOI: https://doi.org/10.3390/agronomy10010009
  13. Lacko-Bartošova M., Krošlák M.I., 2001. Weed infestation in different farming systems. J. Cent. Eur. Agric. 2(3–4), 173–182.
  14. Marín C., 2021. Spatial and density-dependent multilevel selection on weed-infested maize. Genet. Resour. Crop Evol. 68, 885–897. https://doi.org/10.1007/s10722-020-01031-1 DOI: https://doi.org/10.1007/s10722-020-01031-1
  15. Poudel D.D., Horwath W.R., Lanini W.T., Temple S.R., van Bruggen A.H.C., 2002. Comparison of soil N availability and leaching potential, crop yields and weeds in organic, low-input and con-ventional farming systems in northern California. Agric. Ecosyst. Environ. 90(2), 125–137. https://doi.org/10.1016/S0167-8809(01)00196-7 DOI: https://doi.org/10.1016/S0167-8809(01)00196-7
  16. Praczyk T. (red.), 2017. Instrukcja uprawy soi. Wyd. IOR-PIB w Poznaniu, 4–6.
  17. Różyło K., Pałys E., 2011. Influence of crop rotation and row spacing on weed infestation of winter rape grown on rendzina soil. Acta Sci. Pol., Agricultura 10(1), 57–64.
  18. Różyło K., Pałys E., 2014. Impact of plant density on the canopy area index and weed infestation depending on different cultivars of winter oilseed rape (Brassica napus L., ssp. oleifera Metzg.). Ann. UMCS. Sect. E 69(2), 44–55. DOI: https://doi.org/10.24326/as.2014.2.5
  19. Sebayang H.T., Rifai A.P., 2018. The effect of soil tillage system and weeding time on the growth of weed and yield of soybean (Glycine max (L.) Merril). J. Degrad. Min. Land Manag. 5(3), 1237–1243. https://doi.org/10.15243/jdmlm.2018.053.1237 DOI: https://doi.org/10.15243/jdmlm.2018.053.1237
  20. Sebayang H.T., Fatimah S., 2019. The effect of tillage systems and dosages of cow manure on weed and soybeans yield (Glycine max, Merrill). J. Degrade. Min. Land Manage. 7(1), 1959–1963. https://doi.org/10.15243/jdmlm.2019.071.1959 DOI: https://doi.org/10.15243/jdmlm.2019.071.1959
  21. Shannon C.E., 1948. A mathematical theory of communications. Bell Syst. Tech. J. 27, 379–423, 623–656. DOI: https://doi.org/10.1002/j.1538-7305.1948.tb00917.x
  22. Shawon S.D., Islam M.N., Biswas M., Sarker S., 2018. Competitiveness of Aus rice varieties against weed infestation. J. Sylhet Agril. Univ. 5(1), 7–14.
  23. Simpson E.H., 1949. Measurement of diversity. Nature, 163, 668. DOI: https://doi.org/10.1038/163688a0
  24. Staniak M., Księżak J., Bojarszczuk J., 2011. Zachwaszczenie kukurydzy w ekologicznym systemie uprawy. J. Res. Appl. Agric. Engineer., 56(4), 123–128.
  25. Strażyński P., Kardasz P., Mrówczyński M. (red.), 2020. Metodyka integrowanej ochrony soi dla doradców. Wyd. IOR-PIB w Poznaniu, 41–50.
  26. Vincent-Caboud L., Vereecke L., Silva E., Peigné J., 2019. Cover crop effectiveness varies in cover crop-based rotational tillage organic soybean systems depending on species and environment. Agronomy 9(6), 319. https://doi.org/10.3390/agronomy9060319 DOI: https://doi.org/10.3390/agronomy9060319

Downloads

Download data is not yet available.

Similar Articles

<< < 33 34 35 36 37 38 39 40 41 42 > >> 

You may also start an advanced similarity search for this article.