scholarly journals Correlation and path coefficient analysis for protein yield in confectionary sunflower (Helianthus annuus L.)

Genetika ◽  
2015 ◽  
Vol 47 (3) ◽  
pp. 811-818 ◽  
Author(s):  
Nada Hladni ◽  
Vladimir Miklic ◽  
Anto Mijic ◽  
Sinisa Jocic ◽  
Dragana Miladinovic
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Protein Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Seed Oil Content ◽  
Kernel Oil ◽  
Kernel Protein

The most important criteria for introducing new confectionary hybrids into the production is high protein yield. Path coefficient analysis was used to obtain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed yield, kernel protein content, mass of 1000 seeds, kernel ratio and hull ratio) on protein yield. The research was conducted during three vegetation seasons, on 22 experimental confectionary sunflower hybrids created in the breeding program at the Institute of Field and Vegetable Crops. Strong and very strong correlations were found among the largest number of examined traits. A weak negative interdependence was determined between kernel oil content, kernel protein content, mass of 1000 seeds, hull ratio, and protein yield using the analysis of simple correlation coefficients. Positive but weak correlation was determined between protein yield and seed oil content, and kernel ratio. Very strong positive correlation was determined between protein yield and seed yield (0.468**). The seed oil content had a very strong direct negative effect on protein yield (DE=-0.734**). The mass of 1000 seeds had a weak negative direct effect on protein yield. Kernel protein content and kernel oil content demonstrated a weak direct positive effect on protein yield. Path coefficient analysis of protein yield showed a very strong positive direct effect of kernel ratio (DE=1.340**), seed yield (DE=0.657**) and hull ratio (DE=0.992*). These findings confirm the effect of seed yield, kernel ratio, and hull ratio on protein yield, and their importance as the selection criteria in confectionary sunflower breeding.

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

Genetika ◽  
2016 ◽  
Vol 48 (3) ◽  
pp. 827-835 ◽  
Author(s):  
Nada Hladni ◽  
Sinisa Jocic ◽  
Anto Mijic ◽  
Vladimir Miklic ◽  
Dragana Miladinovic
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Protein ◽  
Seed Protein Content ◽  
Seed Oil Content ◽  
Head Diameter ◽  
Kernel Oil ◽  
Kernel Protein

Path coefficient analysis was applied to gain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed protein content, kernel protein content, head diameter, kernel ratio and plant height) on sunflower seed yield. Traits which exhibit the highest effects on seed yield will be used as a selection criterion in confectionary sunflower breeding. The research was conducted during three vegetation seasons on 22 experimental confectionary sunflower hybrids, created in breeding program the Institute of Field and Vegetable Crops. Among the largest number of examined traits, significant and highly significant correlations were found. With the analysis of simple correlation coefficients a low interdependence was determined between, kernel protein content, plant heights with seed yield. Negative but weak correlation was determined between kernel oil content, seed protein content, kernel ratio with seed yield. Established a negative strong correlation of head diameter (-0.190*) and negative very strong correlation of seed oil content (-0.351**) with seed yield. The seed oil content had a very strong direct negative effect on seed yield (DE=-0.831**). The head diameter, plant height, seed protein content had weak negative direct effect on seed yield. Kernel protein content and kernel oil content has demonstrated a weak direct positive effect on seed yield. Path coefficient analysis for seed yield showed very strong direct effect for kernel ratio (DE=0.487*) on seed yield, it shows that the kernel ratio is important selection criterion for confectionary sunflower breeding.

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

Genetika ◽  
2021 ◽  
Vol 53 (1) ◽  
pp. 157-166
Author(s):  
Velimir Radic ◽  
Igor Balalic ◽  
Milos Krstic ◽  
Ana Marjanovic-Jeromela
Keyword(s):  
Seed Germination ◽  
Path Analysis ◽  
Protein Content ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Correlation And Path Analysis ◽  
Positive Direct

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.

scholarly journals Direct and indirect effects of morphophysiological traits on kernel protein content of confectionary sunflower

Genetika ◽  
2017 ◽  
Vol 49 (3) ◽  
pp. 1015-1021
Author(s):  
Nada Hladni ◽  
Milan Jockovic ◽  
Sinisa Jocic ◽  
Vladimir Miklic ◽  
Dragana Miladinovic ◽  
...  
Keyword(s):  
Protein Content ◽  
Seed Weight ◽  
Seed Protein ◽  
High Protein ◽  
Protein Yield ◽  
Path Coefficient ◽  
Seed Protein Content ◽  
Path Coefficient Analysis ◽  
Negative Effect ◽  
Kernel Protein

The most important criterion for introducing new confectionary sunflower hybrids into production is high protein yield. In the breeding process it is important to identify traits which could be used as selection criteria for increased kernel protein content. Increase of kernel protein content results in increased protein yield. This research was conducted during three vegetation seasons on 22 NS high-protein two-line confectionary sunflower hybrids produced within the breeding program at IFVCNS, Novi Sad, Serbia. Strong and very strong correlations were found among the largest number of examined traits. Based on the analysis of simple correlation coefficients, strong negative correlation was determined between kernel protein content and kernel ratio (-0.516*). A weak negative interdependence was determined between head diameter, seed protein content, and kernel protein content. Positive but weak correlation was determined between kernel protein content and thickness of seed, length of seed, width of seed, and 1000 seed weight. Path coefficient analysis for kernel protein content at phenotypic level showed that the thickness of seed had a strong positive direct effect on kernel protein content (DE=382*). Kernel ratio and width of seed had a very strong direct negative effect on kernel protein content (DE=-0.990**; DE=0.600**). A weak direct positive effect of head diameter, seed protein content and length of seed was established, whereas 1000 seed weight had a weak direct negative effect on kernel protein content. Path coefficient analysis indicates showed that the thickness of seed has high great influence on kernel protein content, and an important selection criterion for breeding for high protein yield.

Eldorado summer turnip rape

1993 ◽  
Vol 73 (1) ◽  
pp. 185-186
Author(s):  
D. F. Degenhardt ◽  
G. R. Stringam ◽  
Z. P. Kondra
Keyword(s):  
Brassica Rapa ◽  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Glucosinolate Content ◽  
Western Canada ◽  
Seed Oil Content ◽  
Turnip Rape ◽  
Cultivar Description ◽  
Canola Quality

Eldorado summer rape (Brassica rapa L.) is a canola-quality cultivar with a seed yield similar to that of Tobin. The seed oil content of Eldorado is significantly higher and its meal glucosinolate content is significantly lower than Tobin. Eldorado is well adapted to the B. rapa-growing areas of western Canada. Keywords: Turnip rape (summer), cultivar description

scholarly journals Character Association and Path Coefficient Analysis in Indian Mustard (Brassica juncea L.)

2022 ◽  
Author(s):  
V.V. Singh ◽  
Laxman Prashad ◽  
Balbeer . ◽  
H.K. Sharma ◽  
M.L. Meena ◽  
...  
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Harvest Index ◽  
Oil Content ◽  
Indian Mustard ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Zone Length ◽  
Biological Yield

Background: Correlation analysis informs us about the relative importance of the breeding traits and quite useful for plant breeders to formulate their breeding and selection strategies. Path coefficient analysis splits the correlation coefficient into the measures of indirect and direct effect. It identifies the indirect and direct influence of different autonomous genotype on a dependent trait. Present study aimed to determine major seed contributing components affecting seed yield and also to know the relationship among these components. Methods: Present investigation was carried out on 147 advanced breeding lines to know the correlations and path coefficient for 12 yield and yield contributing traits. The material was evaluated in augmented block design with 07 blocks, each block having 21 lines. A set of three check varieties were repeated in each block. Observations were recorded on number of primary branches/plant, number of secondary branches/plant, plant height (cm), silique/plant, fruiting zone length (cm), main shoot length (cm), number of seeds/siliquae, siliquae length (cm), biological yield/plant (g), seed yield/plant (g), harvest index and test weight. Result: The seed yield per plant showed positive and significant correlation with primary branches per plant (0.273), secondary branches per plant (0.280), siliquae per plant (0.627), biological yield per plant (0.744), harvest index (0.188), test weight (0.212) and oil content (0.225). Biological yield per plant (0.5747) had maximum direct effect on seed yield per plant followed by siliquae per plant (0.2438), harvest index (0.127), oil content (0.118) and test weight. These characters have positive and significant association with seed yield per plant. The study thus indicated that biological yield per plant, siliquae per plant, harvest index and test weight are the important characters which should be considered in selection programme in Indian mustard.

scholarly journals Multivariate Analyses of Yield and Its Components in Some Peanut Genotypes

2020 ◽  
pp. 1-15
Author(s):  
A. Abd El- Saber ◽  
Zeinab E. Ghareeb ◽  
M. A. Ahmed
Keyword(s):  
Factor Analysis ◽  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Block Design ◽  
Correlation Coefficients ◽  
Cluster Method ◽  
Factor Scores ◽  
Peanut Seed ◽  
Seed Oil Content

Aims: For proposing a statistical approach to select of the most promising genotypes for peanut breeding program. Place and Duration of Study: Twenty peanut genotypes were evaluated at Matana Agricultural Station Research, Luxor governorate, Egypt during 2018 and 2019. Study Design: In a randomized complete block design with three replications. Methodology: Analysis of variance (ANOVA), correlation coefficients, factor analysis, cluster method and some genetic parameters for seed yield and its components were calculated. Results: Results revealed that significant differences among the tested genotypes for the eight studied traits. Correlation coefficients indicated that seed yield was significantly correlated with all traits except plant height. Meanwhile, factor analysis was used to remove multi-collinearity problems, to simplify the complex relationships and to reduce variables number (into three extracted factors). 100-seed weight, number of branches/plant, 100-pod weight and seed oil content (%) with seed yield/plant traits which present in the 1st factor explained 42.039% of the total variance and recorded high heritability coupled with high genetic advance %. ANOVA results for factor scores obtained (native best multi-traits data) revealed that genotypes varied significantly. Conclusion: Factor and cluster analysis agreed in grouping Ismailia 2, Intr. 267, Intr. 182, Intr. 332 and Sohag 107 to be promising genotypes to increase peanut seed yield, whereas genotypes Intr. 504 and intr. 510 could be utilized to increase peanut seed oil content %. Then, the utilization of a factor score as a variable in ANOVA analysis was more appropriate rather than the original data. Consequently, factor scores (as a native data) would be more agreeable to selection and can be employed in plant breeding programs.

Stability some sunflower genotypes across divergent environments

Helia ◽  
2020 ◽  
Vol 43 (72) ◽  
pp. 33-49
Author(s):  
Mohamed Ali Abdelsatar ◽  
Tamer Hassan Ali Hassan ◽  
Mahrous Abd El-Baset Attia
Keyword(s):  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Agricultural Research ◽  
Block Designs ◽  
Seed Oil Content ◽  
High Performing ◽  
Important Target ◽  
Wide Range ◽  
North Sinai

AbstractSimultaneously identify superior performing in terms of seed yield and seed oil content and broad adaptation across a wide range of different environments is an important target for sunflower breeder. So, 10 sunflower genotypes were evaluated across the eight various environments created by sowing at four locations i. e. Kafr El Hamam/ Sharkia, Shandaweel /Sohag, Tag El Ezz/ Dakahlia and Al Arish/ North Sinai Agricultural Research Stations, Agricultural Research Center (ARC), Egypt during the two successive summer seasons 2018 and 2019 using randomized complete block designs with four replications in each environment. Results showed that mean squares due to environments, genotypes and their interaction were highly significant for seed yield and seed oil content. Most stability approaches revealed that high performing stable genotypes were L240 for seed yield and Sakha 53, L110 and L235 for seed oil content under divergent environments. Hence, these four stable sunflower genotypes could be behaved as good breeding materials stock for sunflower improvement.

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