scholarly journals Plant traits to complement selection based on yield components in wheat

2005 ◽  
Vol 35 (5) ◽  
pp. 1010-1018 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Plant Traits ◽  
Flag Leaf ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Water Stress Condition ◽  
Positive Direct

The aim of the present study was to investigate the relationship between plant traits and yield per spike in wheat genotypes. The measured plant traits were: length of flag leaf blade, peduncle extrusion, peduncle, spike and sheath, culm diameter and plant height. Data were analyzed with correlation and path coefficient analysis. Yield per spike correlated positively with spike length and culm diameter. Path coefficient analysis indicated that, under irrigated condition, yield per spike had a positive direct effect and a positive correlation with spike length and culm diameter and, under non-irrigated condition, yield per spike showed a positive direct effect and a positive correlation with culm diameter, spike length and plant height. Culm diameter and spike length, under irrigated condition, and also plant height, under late season water stress condition, were the plant traits most related to higher grain yield per spike in wheat.

scholarly journals Correlation and Path Coefficient Analysis in Tuberose Cultivars Single

2020 ◽  
Author(s):  
D. Priyanka Gandhi ◽  
T. Usha Bharathi
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Number Of Leaves ◽  
Positive Direct ◽  
Very High

A study was carried out to determine the association between different quantitative characters of eighteen genotypes of tuberose cultivars single. The highest positive and significant association was recorded for spike yield with plant height (0.33), rachis length (0.30), number of florets per spike (0.34), weight of single floret (0.63), matured bud weight (0.66), duration of flowering (0.52). The results of path coefficient analysis indicated that the weight of the floret (1.48) had very high positive direct effect on spike yield per plant followed by length of the floret (0.84) number of florets per spike (0.45) and duration of flowering (0.41). Spike length (0.27) had moderate positive direct effect. Plant height (0.16) and number of leaves (0.17) showed low positive direct effect and rest of the characters had negligible positive direct effect on spike yield per plant. The results of the study indicates that the above mentioned characters can be used for the improvement of tuberose.

scholarly journals Correlation and path coefficient analysis in Giant Taro (Alocasia macrorrhiza L.)

2015 ◽  
Vol 50 (2) ◽  
pp. 117-122 ◽  
Author(s):  
KK Paul ◽  
MA Bari ◽  
SC Debnath
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Residual Effect ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Petiole Length ◽  
Area Index ◽  
Phenotypic Character ◽  
Positive Direct ◽  
Inflorescence Length

Genotypic and phenotypic character associations as well as direct and indirect effects were estimated for eleven characters such as plant height, petiole length, petiole breadth, leaf area index, inflorescence length, spathe length, spathe breadth, corm length, corm breadth, corm weight and yield per plant, in giant taro (Alocasia macrorrhiza L). The results revealed that plant height, LAI, corm length, corm breadth, had positive correlation with yield per plant both at genotypic and phenotypic level. Relatively higher positive and direct effect was found through petiole length, LAI and corm length and yield per plant in genotypic level. The residual effect 0.4762 represent in genotypic level about 53 % of the variability observed for yield per plant was represented by these traits. In the phenotypic level highest and positive direct effect was observed with petiole length and yield per plant. Positive direct effect was also found on yield per plant by plant height, petiole length, inflorescence length, inflorescence number, spathe length and spathe breadth, corm length, corm breadth. The residual effect 0.4235 means that characters included in the present study explained about 58 % variability in yield per plant at phenotypic level.Bangladesh J. Sci. Ind. Res. 50(2), 117-122, 2015

scholarly journals Correlation and path analysis of yield and its components and plant traits in wheat

2004 ◽  
Vol 34 (6) ◽  
pp. 1701-1708 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Traits ◽  
Flag Leaf ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Correlation And Path Analysis ◽  
Positive Direct

This study was aimed to characterize yield components and plant traits related to grain yield. Correlation and path analysis were carried out in wheat genotypes grown under irrigated and non-irrigated field conditions. In the path coefficient analysis, grain yield represented the dependent variable and the number of spikes m-2, number of grains spike-1, kernel weight, days to anthesis, above-ground biomass m-2 and plant height were the independent ones. In both years, periods without rain occurred from early milk to grain ripening and from flag leaf sheath opening to grain ripening for first and second sowing dates, respectively. Character associations were similar in both water regimes. Grain yield showed positive phenotypic correlation with above-ground biomass, number of spikes m-2 and number of grains per spike. Path analysis revealed positive direct effect and moderate correlation of number of spike m-2 and number of grains per spike with grain yield. These results indicated that the number of spikes m-2 and the number of grains per spike followed by the above-ground biomass were the traits related to higher grain yield, under irrigated and late season water stress conditions.

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 

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

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 Correlation and path coefficient studies of Cocoyam (Xanthosoma sagittifolium L.)

2015 ◽  
Vol 50 (1) ◽  
pp. 47-52
Author(s):  
KK Paul ◽  
MA Bari
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Height ◽  
Leaf Length ◽  
Leaf Number ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Area Index ◽  
Xanthosoma Sagittifolium ◽  
Positive Direct

Plant height, leaf length, leaf breadth, leaf number, leaf area index, corm length, corm breadth, corm weight, sucker number exhibited positive correlation with yield per plant in both genotypic and phenotypic level in cocoyam (Xanthosoma sagittifolium). Path coefficient analysis revealed that leaf length, leaf number, corm length exhibited direct influences to yield per plant. In genotypic level yield per plant showed the highest positive direct effect with corm length followed by cormel breadth, sucker number.Bangladesh J. Sci. Ind. Res. 50(1), 47-52, 2015

scholarly journals Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species

2021 ◽  
pp. 20-31
Author(s):  
Sujon Kumar ◽  
Barkat Ali ◽  
A. B. M. Khaldun ◽  
Shams Shaila Islam ◽  
M. Shalim Uddin ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Brassica Species ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Estimate Heritability ◽  
Positive Direct ◽  
Pod Length

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

scholarly journals Genetic Variability, Character Association and Path Coefficient Analysis in Radish (Raphanus sativus L.)

1970 ◽  
Vol 8 (2) ◽  
pp. 22-27
Author(s):  
MZ Ullah ◽  
MJ Hasan ◽  
AHMA Rahman ◽  
AI Saki
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Root Length ◽  
Root Diameter ◽  
Leaf Width ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Root Yield ◽  
Path Coefficient Analysis ◽  
Positive Correlation

Genetic variability, correlation and path coefficient analysis of yield and yield contributing traits in twenty one varieties of radish were studied. Root length, leaf length and root yield showed high genotypic coefficient of variation and heritability with high genetic advance in percentage of mean. The highest genetic advance was observed in root yield. Root yield had significant and positive correlation with days to harvest, root length and root diameter, and showed only positive correlation with plant height and leaf width. Path coefficient analysis revealed that plant height had the maximum positive direct effect on root yield followed by root diameter, leaf width and days to harvest. Keywords: Genetic variability; radish; heritability; correlation; path analysis; root yield. DOI: 10.3329/agric.v8i2.7573 The Agriculturists 8(2): 22-27 (2010)  

Developing a Selection Criterion Using Correlation and Path Coefficient Analysis in Sunflower (Helianthus Annuus L.)

Helia ◽  
2019 ◽  
Vol 42 (70) ◽  
pp. 85-99
Author(s):  
Adeel Riaz ◽  
Muhammad Hammad Nadeem Tahir ◽  
Muhammad Rizwan ◽  
Sajid Fiaz ◽  
Sadaruddin Chachar ◽  
...  
Keyword(s):  
Plant Height ◽  
Coefficient Of Variation ◽  
Plant Traits ◽  
Genetic Correlations ◽  
Selection Criterion ◽  
Stem Diameter ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Head Diameter ◽  
Number Of Leaves

AbstractIn breeding programs, it is imperative to recognize the genetic variations and levels of association between traits that directly or indirectly affect the yield. Achene yield and related traits in forty-nine sunflower genotypes were studied for genetic variability, correlations and path coefficient analysis. The phenotypic coefficient of variation (PCV) were higher than the genotypic coefficient of variation (GCV) for the all the studied traits in sunflower. The most active association of achene yield was found with achene/head, 100-achene weight and plant height. However, oil contents had a negative association with achene filling percentage, 100-achene weight, number of leaves and stem diameter. The maximum direct influence on achene yield were exerted by head diameter followed by achene filling percentage, 100 achene weight, achene/head and number of leaves. In contrast, plant height, days to maturity and stem diameter had the negative direct impact on yield. The genetic correlations were higher than phenotypic correlations which suggest that environmental influences were very low. Our results showed that achene/head, 100 achene weight, plant height and head diameter are important plant traits which should be considered while planning any breeding program for higher achene yield in sunflower.

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