Correlation and path analysis of yield and yield components of confectionary sunflower

Hladni, Nada; Jocić, Siniša; Mijić, Anto; Miklič, Vladimir; Miladinović, Dragana

doi:10.2298/gensr1603827h

Cited by 12 publications

(11 citation statements)

References 10 publications

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“…BALALIĆ et al (2012) reported a significant correlation between seed yield, oil yield and oil content. While HLADNI et al (2016) reported a significant correlation between protein content and yield in confectionary sunflower. SUPRIYA et al (2017) concluded that simultaneous improvement in two or more parameters of seed yield is possible when positive correlations are observed.…”

Section: Correlationmentioning

confidence: 95%

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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Section: Correlationmentioning

confidence: 95%

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

et al. 2021

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“…Before establishing the simplified RWU model, stepwise regression analysis was utilized to screen the independent variables initially. However, the simple correlation coefficient did not provide a comprehensive link between the tested indicators and the RWU (Hladni, Jocic, Mijic, Miklic, & Miladinovic, 2016). Therefore, the correlation coefficient was further analyzed using a path analysis (Wright, 1921) that included the direct and indirect effects (Astereki, Sharifi, & Pouresmael, 2017).…”

Section: Path Analysismentioning

confidence: 99%

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

et al. 2020

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The spatial and temporal distribution of root water uptake (RWU) under deficit irrigation are critical factors for crop growth. The SWAP (soil–water–atmosphere–plant) model was applied to analyze the pattern of RWU for winter wheat (Triticum aestivum L.) under three irrigation levels: no water deficit (100% evapotranspiration [ET]), moderate water deficit (80% ET) and severe water deficit (60% ET). The 2–yr experiments indicated that SWAP was highly accurate (mean relative error [MRE] <21.7%, root mean square error [RMSE] <0.07 cm3 cm−3) in simulating the soil water content (SWC). Root water uptake was significantly (P < 0.01) different in the 0‐ to 60‐cm soil layer. The 0‐ to 60‐cm soil layer was the main source of RWU, and the average value accounted for 89.4% of the total root zone. Water stress had the greatest adverse effect on heading to grain filling, reducing RWU by 0.0026 cm3 cm−3 d−1. The critical SWC was 67.9% of the field capacity, when the RWU dropped to 95% of the control treatment. After rewetting, compensation and hysteresis effects on RWU were observed. The ranking of RWU recovery ability after rewetting was: emergence to jointing > jointing to heading > grain filling to maturity > heading to grain filling. Recovery time of RWU was 2 to 11 d and gradually increased with growth stage. The simplified RWU model established using path analysis and regression performed well (R2 = 0.836; P < 0.01) for RWU. This provided a more convenient way to accurately estimate RWU with fewer variables.

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“…The threshold for marginal crops and medicinal plants like fenugreek has been higher due to low attention as more resources are allocated for staple and commercial crops (ACHARYA et al, 2006). The various biochemical and molecular methods play a key role in the identification of diverse crop genotypes (NIKOLIC et al, 2016;HLADNI et al, 2016;CHANDRAWATI et al, 2016;PERIC et al, 2014). In the present study a geographically diverse fenugreek population was evaluated for a range of agro-morphological and phonological diversity along with total seed protein variation.…”

Section: Morphologicalmentioning

confidence: 99%

Estimation of spatial genetic structure in inter-regional populations of Trigonella foenum-graceum L. species through phenotypic variation and seed protein profiling

et al. 2018

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(2018): Estimation of spatial genetic structure in interregional populations of Trigonella foenum-graceum L. species through phenotypic variation and seed protein profiling.-Genetika, Vol 50, No.1, 171-185. Fenugreek (Trigonella foenum-graceum L.) is an important legume crop mainly grown for its pharmacological and nutritional value in Mediterranean region, western Asia, Indian sub-continent and Africa. We evaluated 110 fenugreek accessions from diverse agro-ecological regions i.e. South Asia, Mediterranean, Middle East, Europe and Africa for phenotypic divergence and seed protein based variation. Significant agromorphological variability was revealed by germplasm viz-a`-viz traits e.g days to flower initiation, days to flower completion, yield plant-1 , plant habit, vigor, flower colour and plant height. Multivariate approach of Principal Component Analysis and Euclidean distance generated dendrogram distributed all accessions into 6 and 9 distinct groups for morpho-agronomic dissimilarities, respectively. Four principal components (PCs) with Eigen value higher than unity (E>1), represented 65% variability in germplasm. Geographical distribution was evident by scatter plot as germplasm figured in 6 different sub-populations. Iranian accessions were most diverse, showing up in all subpopulations followed by Indian, Turkish, Ethiopian, Pakistani and Egyptian accessions which ranked in 5,4,4,3 and 3 sub-populations, respectively. Electrophoretic pattern of 172

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Correlation and path analysis of yield and yield components of confectionary sunflower

Cited by 12 publications

References 10 publications

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

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

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

Estimation of spatial genetic structure in inter-regional populations of Trigonella foenum-graceum L. species through phenotypic variation and seed protein profiling

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