Characterization and interrelationships of soybean [Glycine max (L.) Merrill] yield components during dry and humid seasons

Varnica, Ivan; Petrović, Sonja; Rebekić, Andrijana; Guberac, Sunčica; Jukić, Katarina; Jukić, Goran

doi:10.5513/jcea01/19.2.2148

Cited by 4 publications

(3 citation statements)

References 8 publications

(10 reference statements)

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“…A weak correlation of the positive direction (r = 0.376*) was determined in 2015 between the yield and a protein concentration (Graph 1c). The similar results were report by Esmaili et al (2012) and Varnica et al (2018) in their research.…”

Section: Graph 1 the Correlations Between An Oil Concentration And Tsupporting

confidence: 92%

The Effect of Irrigation and Nitrogen Fertilization on the Soybean Seed Yield, With a Correlation to the Protein and Oil Concentration

et al. 2020

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The paper presents the result of a triennial field experiment (2013‒15), aiming to determine the influence of irrigation, nitrogen fertilization, and cultivars, as well as their interactions on the yield and chemical properties of the soybean seeds. Four soybean cultivars (Lucija, Vita, Ika and Tena) of different maturity groups were investigate as a sub‐subplot factor (C). The main plot factor (A - irrigation) resulted in a statistically very significant (P≤0.01) seed yield in all three years, and it was found out by an analysis of variance. The subplot factor (B - nitrogen fertilization) had an impact on the grain yield depending on the research year, while sub‐subplot factor (C-cultivar) significantly affected all examined traits. The factor interactions and their significance varied by the research years. The seed yield achieved in 2013 (3883 kg ha-1) indicated a great importance of all factors’ interaction. The correlations between a seed yield and a protein and oil concentration were determined during the research.

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Section: Graph 1 the Correlations Between An Oil Concentration And Tsupporting

confidence: 92%

The Effect of Irrigation and Nitrogen Fertilization on the Soybean Seed Yield, With a Correlation to the Protein and Oil Concentration

et al. 2020

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“…Demirtaş et al (2010) concluded that the NSP is a yield component most sensitive to the stress during the seed growth. The NSP has the highest correlation coefficient and a high and positive effect on the yield, so the selection of high-yielding genotypes based on this trait can be performed directly disregarding the alternating weather conditions (Varnica, 2018). Irrigation, year, and their interaction did not have a statistically significant effect on the TSW (g), but, according to the obtained data, the lowest average TSW (g) was attained in the control treatment (I1) in each examined year.…”

Section: Resultsmentioning

confidence: 99%

Odnos komponenata prinosa i prinosa zrna soje (Glycine max L. Merr.) u uvjetima navodnjavanja

Subašić

Jurišić

Rebekić

et al. 2022

Poljoprivreda (Online)

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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.

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“…Plant seed weight is the most important morphological character in finding the best plant from a study [12]. The result shows that the seed weight per plot and the best soybean yield potential were found in Kipas Merah, mutant lines A 1 and A 11 .…”

Section: Fertilizer Analysismentioning

confidence: 97%

Using NPK fertilizer on several soybean mutant in sub-optimal land

Zuyasna

Mayani

Maulina

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Soybean is one of the important crops and is much needed by people in Indonesia. Most soybean needs in Indonesia are still imported because domestic production is still low. The low soybean production in Indonesia is partly due to the lack of availability of superior varieties that are able to adapt to the environment and the application of cultivation technology that has not been optimal by farmers. The aim of this research is to obtain the best dose and the mutant line of Kipas Merah and the best combination of both in a sub-optimal environment. This study used a factorial randomized block design 3 x 7 with 3 replications. The dose of NPK fertilizer is the first factor consisting of 3 levels (200 kg ha−1, 300 kg ha−1, and 400 kg ha−1). While the second factor is a mutant line of Kipas Merah (A1, A2, A7, A11, and A14), and in addition, as the comparison, we used Kipas Merah (parent) and Deja2 variety. The results showed that the treatment dose of Phonska NPK fertilizer (15:15:15) was better found in the application of a fertilizer dose of 400 kg ha−1 on the parameters a number of seeds per plant, the weight of seeds per plant, the weight of 100 seeds, the weight of seeds per plot and potential yield. The best mutant lines among the tested lines were the A1 and A11 mutant lines. The best A1 line was on the number of seeds per plant and weight of seeds per plant, while A11 was best on parameters of seed weight per plant, the weight of 100 seeds, the weight of seeds per plot, and yield potential.

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Characterization and interrelationships of soybean [Glycine max (L.) Merrill] yield components during dry and humid seasons

Cited by 4 publications

References 8 publications

The Effect of Irrigation and Nitrogen Fertilization on the Soybean Seed Yield, With a Correlation to the Protein and Oil Concentration

The Effect of Irrigation and Nitrogen Fertilization on the Soybean Seed Yield, With a Correlation to the Protein and Oil Concentration

Odnos komponenata prinosa i prinosa zrna soje (Glycine max L. Merr.) u uvjetima navodnjavanja

Using NPK fertilizer on several soybean mutant in sub-optimal land

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