prikaz prve stranice dokumenta Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
  Download
PDF 267.46 KB
Scientific paper - Original scientific paper
Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
Poljoprivreda, 28 (2022), 1; 32-38. https://doi.org/10.18047/poljo.28.1.5
Galić Subašić, Daria; Jurišić, Mladen; Rebekić, Andrijana; Josipović, Marko; Radočaj, Dorijan; Rapčan, Irena

Cite this document

Galić Subašić, D., Jurišić, M., Rebekić, A., Josipović, M., Radočaj, D. & Rapčan, I. (2022). Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions. Poljoprivreda, 28. (1), 32-38. doi: 10.18047/poljo.28.1.5

Galić Subašić, Daria, et al. "Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions." Poljoprivreda, vol. 28, no. 1, 2022, pp. 32-38. https://doi.org/10.18047/poljo.28.1.5

Galić Subašić, Daria, Mladen Jurišić, Andrijana Rebekić, Marko Josipović, Dorijan Radočaj and Irena Rapčan. "Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions." Poljoprivreda 28, no. 1 (2022): 32-38. https://doi.org/10.18047/poljo.28.1.5

Galić Subašić, D., et al. (2022) 'Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions', Poljoprivreda, 28(1), pp. 32-38. doi: 10.18047/poljo.28.1.5

Galić Subašić D, Jurišić M, Rebekić A, Josipović M, Radočaj D, Rapčan I. Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions. Poljoprivreda [Internet]. 2022 June 30 [cited 2024 December 19];28(1):32-38. doi: 10.18047/poljo.28.1.5

D. Galić Subašić, M. Jurišić, A. Rebekić, M. Josipović, D. Radočaj and I. Rapčan, "Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions", Poljoprivreda, vol. 28, no. 1, pp. 32-38, June 2022. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:151:526557. [Accessed: 19 December 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
AuthorDaria Galić Subašić
AuthorMladen Jurišić
AuthorAndrijana Rebekić
AuthorMarko Josipović
AuthorDorijan Radočaj
AuthorIrena Rapčan
Author's institutionJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Agricultural Engineering and Renewable Energy Resources)
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Crop Production
Abstract (english)
The study presents the results of a three-year experiment (2013–2015) that was carried out to determine a relationship between the soybean yield components and the seed yield under different irrigation treatments. The results indicated that the study year had the greatest effect on the number of nodes per plant (NNP), while an interaction between the irrigation and experiment year was also statistically significant. The highest average NNP was observed in 2015, being 33% higher when compared to the year 2014. The highest number of seeds per plant (NSP) was observed in 2015, being 20% and 31% higher when compared to 2013 and 2014. An abundant irrigation resulted in the highest NSP when compared to a rational and control treatment. Irrigation, study year, and their interaction did not have a statistically significant effect on the thousand seed weight (TSW) (g), but the lowest average TSW (g) was obtained in the control treatment of each study year. Regression models pertaining to the seed yield prediction in the control treatment and rational irrigation were not statistically significant. However, in the abundant irrigation, the regression model based on the TSW (g), NNP, and the NSP as the predictors provided for a statistically significant model seed yield prediction, but only the NSP was identified as a highly significant seed yield predictor.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - domestic
Publication versionPublished version
Journal titlePoljoprivreda
Numberingvol. 28, no. 1, pp. 32-38
p-ISSN1330-7142
e-ISSN1848-8080
DOIhttps://doi.org/10.18047/poljo.28.1.5
URN:NBNurn:nbn:hr:151:526557
Publication2022-06-30
Document URLhttps://hrcak.srce.hr/file/405669
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-05-07 11:44:19