Biomorphological Association and Path Analysis in Sunflower (Helianthus annuus L.)

Jocković, Milan; Jocić, Siniša; Marjanović-Jeromela, Ana; Ćirić, Mihajlo; Čanak, Petar; Miklič, Vladimir; Cvejić, Sandra

doi:10.1515/helia-2015-0004

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The highest positive direct effect on seed yield per plant was recorded by number of leaves, stem diameter, head diameter and 100 seed weight (Pandya et al, 2015). According to Jocković et al (2015), the highest direct effect on seed yield was determined for head diameter and oil content, while for protein content and 1000-seed weight the effect was statistically significant. These authors also concluded that higher values of the direct effects of head diameter on seed yield than the values of correlation coefficients indicate that direct selection through this trait on seed yield improvement would be effective.…”

Section: Seed Yieldmentioning

confidence: 91%

A study of correlations and path analyses of some traits in sunflower parental lines

Radić¹,

Balalić²,

Jačimović³

et al. 2021

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The trial in this study was carried out in field conditions throughout three years from plots where seed production of sunflower parental lines was established. Eight genotypes were examined; namely RHA-UK, RHA-ST-59, RHA-SES-IMI, RHA-SNRF, RHA-E-ANN-65, RHA-RU-3, RHA-CDN, and RHA-N-M-1. All the examined genotypes are parental components of the best sunflower hybrids developed by the Institute of Field and Vegetable Crops, Novi Sad, Serbia. Relationships between seed yield and eight different traits in sunflower were studied - oil and protein content, seed germination, 1000-seed weight, head diameter, number of branches and leaves and plant height. The same analyses were carried out for comparison of oil content. A highly significant positive correlation was determined between plant height and number of branches; plant height and the number of leaves; plant height and head diameter; plant height and seed yield; number of branches and yield; the number of leaves and yield; head diameter and seed yield; number of leaves and number of branches; number of leaves and head diameter and between seed germination and oil content. Path analysis indicated highest significant direct effect of plant height on yield (0.439**). The number of branches had a significant positive direct effect on yield (0.260*). In the study of indirect effects on yield, thirteen significant effects were determined. The study of direct effects on oil content showed that the plant height and number of leaves diameter had high significant effects (0.800** and -0.847**). The existence of indirect significant effects on oil content was determined in nine cases.

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Section: Seed Yieldmentioning

confidence: 91%

A study of correlations and path analyses of some traits in sunflower parental lines

Radić¹,

Balalić²,

Jačimović³

et al. 2021

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Self Cite

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“…MARINKOVIĆ et al (2003) estimated a highly significant direct effect of time from seed germination to the end of flowering on seed yield. According to JOCKOVIĆ et al (2015), highest direct effect on seed yield was determined in sunflower for head diameter and oil content, while for protein content and 1000 seed weight the effect was statistically significant.…”

Section: Path Analysismentioning

confidence: 98%

Correlation and path analysis of yield and yield components in winter rapeseed

et al. 2021

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Five different rapeseed genotypes were tested. The following traits were considered: seed yield, seed germination, seed oil content, 1000 seed weight and seed protein content and they were used to determine whether there is significant or nonsignificant correlation. Highest average results were determined in genotype G-3 (yield 2.544 kg; germination 90%; 1000 seed weight 4,30 g; oil content 45,31% and protein content 19,83%) while G-5 (1.838 kg; 87%; 3,50 g; 44,77% and 17,28%) had the lowest average result of observed parameters. Highly significant positive correlations were found while comparing seed yield with 1000 seed weight (0.753**) and protein content (0.726**). High significant positive correlation were also determined comparing seed germination with 1000 seed weight (0.832**) and protein content (0.892**). Also high significant correlation was determined comparing 1000 seed weight and protein content (0.812**). Positive significant correlations were found by comparing seed yield and seed germination (0.644*). Path analysis indicated highest significant positive direct effect of 1000 seed weight (0.716**) and protein content (0.666**) on seed yield. High but negative significant value had seed germination (-0.645**). In the study of indirect effects on seed yield, none of significant effects were determined. The study of direct effects on oil content showed that the seed germination had high significant positive effect (-1.296**) on oil content. Significant but hot high effect has seed yield (0.556*). In other two traits it was determined negative high significant effects (1000 seed weight - 0.797** and protein content - 0.717**) on seed oil content. The existence of indirect significant effects on oil content in four cases was determined.

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Treatment by Trait Biplot Analysis of Organic Manure and Nano-Fertilizers on Sunflower Production

Sabaghnia

Yousefzadeh

Janmohammadi

2018

Helia

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This study was performed to study the effects of farmyard manure (zero (M1), 20 (M2) t ha−1) and nano-fertilizers [control (n1), Mn (n2), Fe (n3), Zn (n4)] on sunflower. Traits days to 50% flowering, days to maturity, leaf number, leaf area, plant height, achene yield and harvest index were measured.Treatment by trait (TT) analysis using biplot analysis was used to determine which treatment was best and for what trait which were generated using the standardized values of the traits means. Results showed that the first two principal components (PC1 and PC2) were used to create a two-dimensional TT biplot that accounted percentages of 94% of sums of squares of interaction. The most important vertex treatment in polygon of TT biplot was M2n4 (application of 20 tonnes ha−1 manure and Zn nano-micronutrient) which indicated high performance in leaf number, leaf area, plant height, achene yield and harvest index. The identification of ideal treatment, the treatment that is most favorable treatment among all treatments, showed that the M2n4 might be used in selecting superior traits and it can be considered as the candidate treatment. Finally, nano-fertilizer could increase crop yields and improve the efficiency of manure application. The results of this investigation showed that application of nanoparticles may alleviates the adverse environmental factors and improve the sunflower performance and the integrated application of organic manure and nano-micronutrients is more effective.

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Biomorphological Association and Path Analysis in Sunflower (Helianthus annuus L.)

Cited by 4 publications

References 8 publications

A study of correlations and path analyses of some traits in sunflower parental lines

A study of correlations and path analyses of some traits in sunflower parental lines

Correlation and path analysis of yield and yield components in winter rapeseed

Treatment by Trait Biplot Analysis of Organic Manure and Nano-Fertilizers on Sunflower Production

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