Correlation and path coefficient analysis of seed yield and oil content in mustard (Brassica juncea)

1983 ◽  
Vol 25 (3) ◽  
pp. 312-317 ◽  
Author(s):  
B. P. Singh ◽  
R. K. Chowdhury
Keyword(s):  
Plant Height ◽  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Positive Effects ◽  
Path Coefficients ◽  
Component Traits

The present study was undertaken to determine the correlations and path coefficients between seed yield and its component traits and to assess the influence of different environments on 37 varieties of Brassica juncea L. Czern &Coss, grown under four different environments. Positive correlation of seed yield appeared with secondary branches, plant height, and seed weight, and only in environment 4 with seeds per pod. However, with oil content, seed yield was negatively correlated in two environments. Based on path analysis, secondary branches showed the maximum direct positive effects on seed yield followed by plant height. Considering these parameters and also the differences between lines having low and high levels of expression of seed yield and its components, it was concluded that for breeding model plant characters to maximise yield in B. juncea we should consider secondary branches, plant height, seed weight, and to some extent seeds per pod.

Genetic variability in Indian mustard (Brassica juncea L. Czern and Coss)

2016 ◽  
Vol 1 (01) ◽  
pp. 30-34
Author(s):  
R. K. Gupta ◽  
V. K. Dwivedi
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Indian Mustard ◽  
Mean Value ◽  
Mean Values ◽  
Quantitative Characters ◽  
Biological Yield ◽  
The Mean

The data were recorded on five random selected plants for 12 quantitative characters and statistical analyzed. The analysis of variance for all the twelve characters is showed the mean square due to genotypes was highly significant. The mean values of various characters like days to 50 per cent flowering were recorded maximum for genotype IC560719 and Pusa Karishma (84.00 days)with mean 69.08 days The maximum days to 75% maturity were observed in IC-560700 genotype (142.00 days) with a mean of 135.07 days. The plant height highest recorded in the genotype IC-560696 (217.60 cm) with mean of 188.14 cm. The maximum number of primary branches per plant (16.47) was recorded in the genotype NPJ-113 with mean of 10.13. The genotype NPJ-113 produced maximum number of secondary branches per plant (35.47) with mean of 19.78. The maximum length of siliqua was recorded for Kranti (7.03) with mean of 5.24cm. The maximum number of seeds per siliqua was recorded in Kranti genotype (19.13) with mean value 14.91. The maximum 1000-seed weight recorded 5.57g for Pusa Jai Kisan with mean wt. 3.96 g. Pusa Mustard-21 produced highest biological yield (191.13g) with mean 79.00g. The genotype Pusa Jagannath had maximum harvest index (30.98%) with mean value 23.87%. The oil content in mustard maximum in 42.00 % were recorded in Pusa Agrani with mean oil content was 39.16 percent. The genotype Pusa Mustard-21 showed highest seed yield per plant (47.00g) with a mean seed yield of 18.58. The higher heritability estimates in broad sense for biological yield per plant (99.6%), number of primary branches per plant (91.4%), number of secondary branches per plant (98.4) plant height (99.2%), 1000-seed weight (99.4%) and days to 50 per cent flowering (98.5). Expected genetic advance at 5% selection intensity was recorded higher for biological yield per plant (71.60) and number secondary branches per plant (10.87).

scholarly journals Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

2015 ◽  
Vol 3 (1) ◽  
pp. 127-133 ◽  
Author(s):  
K.U. Ahamed ◽  
B. Akter ◽  
N. Ara ◽  
M.F. Hossain ◽  
M. Moniruzzaman
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Moderate Degree ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Number Of Leaves ◽  
100 Seed Weight ◽  
Number Of Seeds

A study was undertaken to analyses the heritability, correlation and path co-efficient for growth and fruit characteristics in fifty seven okra(Abelmoschus esculentus Lam) genotypes grown at Plant Genetic Resources Centre, Regional Agricultural Research Station, BangladeshAgricultural Research Institute during kharif season of 2013. The highest range of variation was recorded in average fruit weight (18.25-25.41g), followed by yield per plant (98.90 – 1650.00g). The highest GCV (46.70 %) and PCV (47.72 %) were recorded for fruit yield perplant while both were lowest for days to maturity (8.07 % and 8.25 %). High heritability coupled with high or moderate degree of geneticadvance was estimated in plant height (99.82 % and 205.06), number of fruits per plant (99.53% and 203.63%), number of leaves per plant(99.57% and 204.49%), number of seeds per fruit (99.73% and 205.44%), leaf length (98.22% and 198.52%), leaf diameter (98.91% and203.76%), 100-seed weight (98.12% and 202.13%) and yield per plant (95.76 % and 197.26%). The highest positive correlation were observedbetween number of fruits per plant and yield per plant (r = 0.99**) and between number of fruits per plant and 100-seed weight (r = 0.44**).Also results showed that significantly positive correlation were between 100-seed weight and yield per plant (r = 0.44**), 100-seed weight andleaf length (r =0.42**), 100-seed weight and leaf diameter (0.38**), number of leaves per plant and 100-seed weight (r = 0.28*), 100-seedweight and plant height(r =0.40**), 100-seed weight and fruit length (r =0.28*). Significantly positive correlations were also observed for plantheight and number of fruits per plant, number of leaves per plant and yield per plant. The path coefficient analysis was done to determine directand indirect effects of traits on fruit yield. Direct significant positive and negative effect of number of fruits per plant (-0.091), 100-seed weight(0.174), number of seeds per plant (-0.213), average fruit yield (-0.310) towards yield.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.12142      Int J Appl Sci Biotechnol, Vol. 3(1): 127-133 

Heterosis, inbreeding depression and their relationship with genetic divergence in sesame ( Sesamum indicum L.)

2010 ◽  
Vol 58 (3) ◽  
pp. 313-321 ◽  
Author(s):  
P. Banerjee ◽  
P. Kole
Keyword(s):  
Plant Height ◽  
Inbreeding Depression ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Basic Material ◽  
Branch Number ◽  
Randomized Block Design ◽  
Component Traits ◽  
Pure Lines

Seven parents (CST2002, MT34, OS-Sel-2, TKG22, AAUDT9304-14-4, B67 and Rama), their 21 F 1 s and 21 F 2 s were grown in summer 2003 in a randomized block design with three replications. Heterosis and inbreeding depression were studied for seven important yield-contributing characters (plant height, branch number plant −1 , capsules plant −1 , seeds capsule −1 , 1000-seed weight, stick yield plant −1 and seed yield plant −1 ). Maximum heterosis for seed yield plant −1 over the mid- and better-parent was recorded in CST2002×TKG22 (43.30%) and MT34×B67 (27.22%), respectively. Mid-parent heterosis for seed yield plant −1 was due to cumulative heterosis for various important component traits, such as capsules plant −1 , seeds capsule −1 and 1000-seed weight. Inbreeding depression was highest for seed yield, followed by 1000-seed weight, capsules plant −1 , branch number and plant height, indicating the predominance of non-additive genetic effects. B67×Rama exhibited significant positive heterosis in F 1 , but non-significant inbreeding depression in F 2 for seed yield. This cross can be utilized as basic material for identifying better pure lines. The clustering pattern indicated that in general genetically diverse parents exhibited more heterosis, as evident in the majority of the crosses.

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 Correlations and path analyses of yield and other sunflower seed characters

Genetika ◽  
2013 ◽  
Vol 45 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Velimir Radic ◽  
Jelena Mrdja ◽  
Sreten Terzic ◽  
Bosko Dedic ◽  
Aleksandra Dimitrijevic ◽  
...  
Keyword(s):  
Seed Germination ◽  
Seed Yield ◽  
Seed Weight ◽  
Sunflower Seed ◽  
Genetic Parameters ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Path Analyses ◽  
Parental Lines ◽  
Effect On Yield

Ten sunflower commercial female parental lines were evaluated for various parameters under field conditions to estimate genetic parameters, correlation coefficient, and path analyses. Interactions of seed germination, 1000 seed weight, oil and protein content with seed yield were examined. After three years of observations, positive significant correlations were found while comparing seed yield with 1000 seed weight. Negative significant correlations were found by comparing seed yield and seed germination. Positive but not significant correlation was found while comparing seed yield with oil content in sunflower seed. Path coefficient analysis indicates that 1000 seed weight has maximum positive and seed germination maximum negative direct effect on yield.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

scholarly journals Kurak Koşullarda Farklı Azot ve Fosfor Dozlarının Aspirde (Carthamus tinctorious L.) Verim ve Verim Öğelerine Etkisi

2018 ◽  
Vol 6 (8) ◽  
pp. 971
Author(s):  
İsmail Demir ◽  
Kenan Karaca
Keyword(s):  
Crude Oil ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Nitrogen And Phosphorus ◽  
Head Diameter ◽  
Positive Effects ◽  
Flowering Date ◽  
Yield Parameters ◽  
Number Of Branches

This study was conducted to determine the effect of different nitrogen and phosphorus doses on yield and yield parameters of safflower. Experiment designed in split plots of randomized complete blocks with three replications. The treatments consisted of four nitrogen doses 0, 4, 8, 12 kg N/da as the main plots and four phosphorus doses (0, 4, 8, 12 kg P2O5/da) as the subplots. According to the results, nitrogen and phosphorus doses change has positive effects on day of rosette stage, flowering date, day of maturity, plant height, number of side branches, number of table, weight per thousand seeds and seed yield. It was determined that, plant height, number of branches, head number, head diameter, 1000 seed weight, hull-kernell ratio, yield, and crude oil rate ranged from 48.5 -54.5 cm, 2.6-3.6, 3.6-4.7, 19.73-22.28 mm, 34.79-37.43 g, 57.06%-59.37%, 82.17-182.23 kg/da, and 35.35%-38.59% respectively. The highest yield was determined as 182.23 kg/da from 12kg N/da+12 kg P2O5/da fertilizer doses.

scholarly journals Combining Ability And Nature of Gene Effects Controlling Seed Yield And Its Component Traits In Alien Cytoplasm Based Hybrids In Sunflower (Helianthus Annuus L.)

2021 ◽  
Author(s):  
Manish Sharma ◽  
Y.G.SHADAKSHARI
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Stem Diameter ◽  
Gene Effects ◽  
Seed Filling ◽  
Volume Weight ◽  
Component Traits ◽  
The Mean ◽  
100 Seed Weight

Abstract The present research aimed to study gene effects for seed yield and its component traits in sunflower hybrids having diverse cytosterile sources from Helianthus annuus and H. argophyllus. Five lines and ten testers were crossed in a line x tester mating design to develop 50 F1 hybrids for genetic analysis. The analysis of variance revealed significant differences among the traits studied. Seasonal variation was found significant for all the traits except stem diameter, volume weight and seed filling percentage. The mean squares of lines and testers from crosses both determine the GCA were also significant for most of the traits which revealed the prevalence of additive variances and additive gene action. The mean squares of lines x tester interactions were also significant for all the traits considered. The significance of lines x tester interactions indicated that SCA is also important in the expression of traits and demonstrated the value of non-additive variances and dominant genes controlling the various traits. Among the diverse cytosterile lines, ARG-6-3-1-4 was identified as the best general combiner for stem diameter, volume weight, seed yield, hull content, oil content and oil yield. While, the line ARG-2-1-2 was best general combiner for days to 50 per cent flowering, head diameter, 100 seed weight and seed filling percentage. The tester M17-R was observed to be best general combiner for earliness and volume weight, while RHA 93 was the best general combiner for plant height, seed yield and oil content. The best cross combinations; MUT-2-8-3-2 x GKVK 3 was found to be good specific combiner for stem diameter, 100 seed weight, seed yield, seed filling percentage, oil content and oil yield, while ARG-6-3-1-4 x GKVK 3 was good specific combiner for days to 50% flowering, plant height and 100 seed weight.

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