prikaz prve stranice dokumenta Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
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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

Institucijski repozitorij: Repozitorij Fakulteta agrobiotehničkih znanosti Osijek

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Galić Subašić, D., Jurišić, M., Rebekić, A., Josipović, M., Radočaj, D. i 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, br. 1, 2022, str. 32-38. https://doi.org/10.18047/poljo.28.1.5

Galić Subašić, Daria, Mladen Jurišić, Andrijana Rebekić, Marko Josipović, Dorijan Radočaj i Irena Rapčan. "Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions." Poljoprivreda 28, br. 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), str. 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]. 30.06.2022. [pristupljeno 18.12.2024.];28(1):32-38. doi: 10.18047/poljo.28.1.5

D. Galić Subašić, M. Jurišić, A. Rebekić, M. Josipović, D. Radočaj i I. Rapčan, "Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions", Poljoprivreda, vol. 28, br. 1, str. 32-38, Lipanj 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:151:526557. [Citirano: 18.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:151:526557
Podaci o radu
Naslov (engleski)Relationship Between the Soybean (Glycine max L. Merr.) Yield Components and Seed Yield Under Irrigation Conditions
AutorDaria Galić Subašić
AutorMladen Jurišić
AutorAndrijana Rebekić
AutorMarko Josipović
AutorDorijan Radočaj
AutorIrena Rapčan
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet agrobiotehničkih znanosti Osijek
(Zavod za poljoprivrednu tehniku i obnovljive izvore energije)
Znanstveno / umjetničko
područje, polje i grana		BIOTEHNIČKE ZNANOSTI
Poljoprivreda (agronomija)
Bilinogojstvo
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - domaća recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaPoljoprivreda
Brojčani podacivol. 28, br. 1, str. 32-38
p-ISSN1330-7142
e-ISSN1848-8080
DOIhttps://doi.org/10.18047/poljo.28.1.5
URN:NBNurn:nbn:hr:151:526557
Datum objave publikacije2022-06-30
URL dokumentahttps://hrcak.srce.hr/file/405669
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-05-07 11:44:19