scholarly journals Variability, Correlation and Path Coefficient Analysis for Agro-morphological Traits in Wheat Genotypes (Triticum aestivum L.) under Normal and Heat Stress Conditions

2021 ◽  
Vol 9 (1) ◽  
pp. 65-74
Author(s):  
Mukti Ram Poudel ◽  
Padam Bahadur Poudel ◽  
Ramesh Raj Puri ◽  
Hema Kumari Paudel
Keyword(s):  
Heat Stress ◽  
Grain Yield ◽  
Direct Effect ◽  
Morphological Traits ◽  
Stress Condition ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Heat Stress Condition ◽  
Positive Direct

Assessment of variability and traits association in crop help to enhance selection efficiency. Therefore, the present investigation entitled “Variability, Correlation and Path Coefficient Analysis for Agro-morphological Traits in Wheat Genotypes (Triticum aestivum L.) under Normal and Heat Stress Conditions” was carried out during winterseason of 2019/2020 at Institute of Agriculture and Animal Science (IAAS), Bhairahawa, Nepal to identify traits that highly contribute to grain yield and suitable for its further improvement. The experiment was laid out following alpha lattice design with two replications. The twentygenotypes of wheat was sown in two different environments viz., irrigated and heat stress in November 29, 2019 and December 25, 2019 respectively. It was found that under normal condition, moderate GCV and PCV were recorded in SW, TGW, NGPS, and WGPS. Under heat stress condition, high GCV and PCV were observed in GY. High heritability and high GAM was observed in TGW & GY, NGPS, WGPS, TGW under normal and heat stress condition respectively. Under normal condition SW exhibited positive correlation and high positive direct effect on GY at genetic level and WGPS at phenotypic level. And under heat stress condition SW exhibited positive correlation and high positive direct effect on GY. Whereas, at phenotypic level, WGPS and PH exhibited high positive direct effect on grain yield. Hence it is clear that spike weight and weight of grains per spike are important traits for grain yield improvement. Int. J. Appl. Sci. Biotechnol. Vol 9(1): 65-74

scholarly journals Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum aestivum L.) genotypes

2020 ◽  
Vol 5 (2) ◽  
pp. 196-199
Author(s):  
Koshraj Upadhyay
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Direct Effect ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Lattice Design ◽  
Positive Direct

To assess correlation and to find out the direct and indirect effect of yield attributing traits on grain yield, thirty wheat (Triticum aestivum L.) genotypes were experimented at Kamalamai-04, Phant, of Sindhuli district, Nepal. The experiment was laid out in alpha-lattice design with three replications. Thirteen quantitative traits including grain yield of wheat were studied during this study. The grain yield of wheat has significant (P≤0.01) and positive genotypic and phenotypic correlation with number of spikes per meter (0.6**, 0.47**), grains per spike (0.69**, 0.65**), weight of grains per spike (0.69**, 0.61**), thousand kernel weight (0.87**, 0.74**), maturity days (0.5*, 0.47**), above ground mass yield (0.96**, 0.83**) and  harvest index (0.93**, 0.64**) of wheat. The genotypic correlation is higher in magnitude than the phenotypic correlation for almost all the studied traits. Path analysis of genotypic correlation showed a high positive direct effect of plant height (0.75), above ground biomass (0.6), spike length (0.43), and harvest index (0.29) on grain yield of wheat. Hence, for increasing yield of wheat in the breeding program, selection and hybridization can be made more effective and accurate by using those a significant positive correlation coefficient and direct effect on the grain yield of wheat.

scholarly journals Association and Path Coefficient Analysis of Grain Yield and Its Attributing Traits in Different Genotypes of Wheat (Triticum aestivum L.)

2017 ◽  
Vol 5 (4) ◽  
pp. 449-453 ◽  
Author(s):  
Manoj Kandel ◽  
Arjun Bastola ◽  
Pradeep Sapkota ◽  
Omprakash Chaudhary ◽  
Pratiksha Dhakal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Animal Science ◽  
Randomized Complete Block Design ◽  
Effective Selection ◽  
Positive Direct

Forty-one wheat genotypes were tested in randomized complete block design with three replications at experimental farm of Institute of Agriculture and Animal Science Paklihawa, Rupendehi, Nepal in 2014 spring season. The objective of this study was undertaken to estimate the correlation and path coefficient of yield and its contributing traits The data showed that the grain yield had significant associated with biomass and significant correlation with number of effective tillers (0.36*), thousand grain weight (0.376*) and harvest index (0.37*). Path coefficient analysis revealed maximum positive direct contribution towards yield by biomass (0.94) and harvest index (0.3).The study suggested that these traits may serve as effective selection attributes during breeding program for yield improvement in wheat.Int. J. Appl. Sci. Biotechnol. Vol 5(4): 449-453.

Correlation and path coefficient analysis of grain quality traits in Rice (Oryza sativa L.)

2016 ◽  
Author(s):  
R. Premkumar ◽  
R. P. Gnanamalar ◽  
C. R. Anandakumar
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Grain Quality ◽  
Oryza Sativa L ◽  
Expansion Ratio ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
High Positive Correlation ◽  
Positive Direct

Studies on character association and path-coefficient analysis were conducted on forty three rice genotypes including thirty hybrids and thirteen parents for grain quality traits on grain yield. Analysis of variance revealed considerable variability among the genotypes for all the characters studied. The correlation analysis indicated that grain yield was significantly associated with kernel breadth, breadth wise expansion ratio and water uptake at genotypic level. Results of path-coefficient analysis revealed linear elongation ratio had the highest positive direct effect on grain yield followed by breadth wise expansion ratio, gel consistency, kernel L/B ratio and alkali spreading value. This study revealed that genetic improvement of grain quality in rice is admissible by selecting characters having high positive correlation and positive direct effect on grain yield.

scholarly journals Character Association and Path-Coefficient Analysis for Yield and Yield-Related Traits in 112 Genotypes of Rice (Oryza sativa L.)

2020 ◽  
pp. 545-556
Author(s):  
S. K. Singh ◽  
Pratibha Singh ◽  
Mounika Korada ◽  
Amrutlal Ratilal Khaire ◽  
D. K. Singh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Strong Correlation ◽  
Biomass Yield ◽  
Grain Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Spikelets Per Panicle ◽  
Positive Direct

Character association and path coefficients for sixteen different yield and yield-contributing traits were evaluated for 112 rice genotypes at Banaras Hindu University, Varanasi during Kharif-2019. The experiment was conducted in alpha lattice design and observations were recorded in five randomly selected plants for sixteen traits. The data were analyzed in WINDOSTAT 9.3 ver. for correlation and path analysis. The correlation analysis showed very strong correlation of grain yield per plot with biomass yield per plot. Days to first flowering showed very strong correlation with days to 50% flowering and days to maturity. Days to 50% flowering showed very strong correlation with days to maturity. Spikelets per panicle showed very strong correlation with grains per panicle and grain weight per panicle. Number of grains per panicle showed very strong correlation with grain weight per panicle. Path-coefficient analysis showed that biomass yield per plot, grain yield per plant, grain weight per panicle, grains per panicle, spikelets per panicle, harvest index, days to first flowering, days to 50% flowering, days to maturity and panicle length had a high and positive direct effect on grain yield per plot. Correlation and path coefficient analysis envisaged characteristics such as biomass yield per plot, grain weight per panicle, grains per panicle, spikelets per panicle, first flowering, 50 percent flowering and days to maturity showed positive direct effect and very strong correlation with grain yield per plot, indicating the effectiveness of these traits in selection. Path analysis revealed that traits like biomass yield per plot, harvest index, grain yield per panicle exerted highest positive direct effect on grain yield per plot. Thus, these characters which contribute to the grain yield could be exploited for future breeding programmes.

scholarly journals Correlation and path coefficient analysis for yield and its attributing traits in bread wheat (Triticum aestivum L. em Thell)

2018 ◽  
Vol 10 (4) ◽  
pp. 1078-1084 ◽  
Author(s):  
Tabassum Ahmad ◽  
Anil Kumar ◽  
Deepanker Pandey ◽  
Birendra Prasad
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Block Design ◽  
Selection Criterion ◽  
Triticum Aestivum L ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Biological Yield ◽  
Positive Direct

Grain yield is a complex quantitative trait and influenced by a number of attributes. To obtain higher yield information regarding association of these attributes with yield can serve as a basis in a breeding programme. The present experiment was undertaken to estimate correlation coefficients between grain yield and different contributing characters and divide this association into direct and indirect effects through path coefficient analysis. The experiment was laid-out with three replications in randomized block design using 51 bread wheat genotypes and data were recorded for fourteen metric traits. Results revealed that grain yield per plant possessed highly significant positive associations with biological yield per plant (0.787 and 0.606), number of spikelets per spike (0.565 and 0.358), number of tillers per plant (0.500 and 0.383) and spike length (0.320 and 0.297) at both genotypic as well as phenotypic level respectively. Biological yield per plant (1.125) exhibited highest positive direct effect on grain yield followed by harvest index (0.678), number of spikelets per spike (0.109), days to maturity (0.100) and spike length (0.060). Therefore, these characters can serve as a selection criterion for further improvement in grain yield of wheat.

scholarly journals Effect of Terminal High Temperature Imposed by Late Sowing on Phenological Traits of Wheat

2015 ◽  
Vol 18 (1) ◽  
pp. 13-25
Author(s):  
M Ilias Hossain ◽  
MRI Mondal ◽  
MJ Islam ◽  
MA Hakim ◽  
MK Sultan
Keyword(s):  
Heat Stress ◽  
High Temperature ◽  
Grain Yield ◽  
Stress Condition ◽  
High Temperature Stress ◽  
Yield Reduction ◽  
Stressed Condition ◽  
New Varieties ◽  
Heat Stress Condition ◽  
Late Sowing

Phenological performance in relation to yield of wheat genotypes; BARI Gom 26, BAW 1051, BARI Gom 27 and BARI Gom 28 were evaluated under normal and heat stress environments. One irrigated timely sowing (ITS) and three irrigated late sowings (ILS) were imposed to provide terminal high temperature over the tested genotypes. The ITS was November 25 and three ILS were December 10, December 25 and January 10. In heat stress condition, the genotypes phased a significant level of high temperature stress which affected on phenological stage and yield compared to ITS. In ITS situation, days to anthesis and booting decreased in heat stress condition regardless the cultivars. The phenological characteristics under heat stressed condition led the wheat cultivars to significantly lower grain yield as compared to normal condition. In heat stress situations (Dec 10–Jan 10), the average grain yield was reduced by12.8 -39.8 % in BARI Gom 26, 14.4-29.7% in BAW 1051, 11.5-26.5% in BARI Gom 27 and 17.4-25.6 % in BARI Gom 28 in both the season. It was also observed that grain yield was found to be reduced by about 7.7-15.4% in BARI Gom 26, 9.4-15.7 % in BAW 1051, 9.4-12.4% in BARI Gom 27 and 9.7-12.0% in BARI Gom 28 from ITS for each 1°C rise in average mean air temperature during booting to maturity. On the other hand, reduction percent were less for the new varieties. Grain yield reduction was about 1.4 - 2.65% in BARI Gom 28, 0.1-6.7 % in BARI Gom 27 and 1.7-6.0% in BAW 1051.Bangladesh Agron. J. 2015, 18(1): 13-25

scholarly journals Correlation and Path Coefficient Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho-physiological Traits along with Grain Fe and Zn Content

2020 ◽  
pp. 130-140
Author(s):  
Mainak Barman ◽  
Vinay Kumar Choudhary ◽  
Satish Kumar Singh ◽  
Rabiya Parveen ◽  
Abhishek K. Gowda
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Water Content ◽  
Leaf Area ◽  
Relative Water Content ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Relative Water

Character association studies help in assessing the relationship among yield and its components to enhance the selection utility. In view of this, the present research was carried out for assessing correlation and path coefficients among 30 bread wheat (Triticum aestivum L.) genotypes using fifteen quantitative parameters. Correlation analysis demonstrated a noteworthy positive relationship of days to fifty per cent flowering, number of tillers/plant, flag leaf area, spike length, plant height, chlorophyll content, relative water content, number of grains/ ear, thousand-grain weight, days to maturity and harvest index, with grain yield per plant at both the phenotypic and genotypic level except canopy temperature which showed a significant negative relationship. Path coefficient analysis revealed that plant height, flag leaf area, relative water content and grain per ear had the maximum positive direct effect on grain yield. Hence, the present investigation can be helpful in executing a reliable selection of parental lines based on these above mentioned traits in addition to developing high-yielding varieties for further breeding programme.

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 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

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