scholarly journals Path-Coefficient Analysis and Correlation Studies on Grain Yield and its Components of some Bread Wheat Genotypes under Three Irrigation Treatments

2021 ◽  
Vol 12 (2) ◽  
pp. 115-123
Author(s):  
S. Abd El-Dayem ◽  
Y. EL-Gohary ◽  
Hoda Ibrahim
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wheat Genotypes ◽  
Correlation Studies ◽  
Irrigation Treatments

scholarly journals Study on relationship and selection index for yield and yield contributing characters in spring wheat

1970 ◽  
Vol 8 (2) ◽  
pp. 191-194
Author(s):  
MF Ferdous ◽  
AKM Shamsuddin ◽  
D Hasna ◽  
MMR Bhuiyan
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Selection Index ◽  
Grain Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wheat Genotypes ◽  
Selection Indices ◽  
Days To Maturity ◽  
The Relationship

The present study was conducted with twenty bread wheat genotypes at the experimental field of Bangladesh Agricultural University (BAU), Mymensingh, during the period from November 2008 to March 2009 to assess the relationship and selection index among yield and important yield attributing characters. Days to maturity, grains per spike, 100-grain weight and harvest index showed significant and positive correlation with grain yield per plant. Path coefficient analysis suggested that grains per spike followed by 100-grain weight and effective tillers per plant contributed maximum to grain yield positively and directly. Thus, selection based on these characters might be effective for improving grain yield. Selection indices were constructed through the discriminate functions using eight characters. From the results, the highest relative efficiency was observed with the selection index based on three characters; plant height and grains per spike and grain yield per plant. The present investigation indicates that the index selection based on these three characters might be more effective and efficient for selecting high yielding wheat genotypes. Keywords: Spring wheat; Relationship; Selection index; Yield contributing characters DOI: 10.3329/jbau.v8i2.7923 J. Bangladesh Agril. Univ. 8(2): 191-194, 2010

scholarly journals Morphological characterization and genetic analysis in bread wheat germplasm: A combined study of heritability, genetic variance, genetic divergence and association of characters

2020 ◽  
Vol 12 (4) ◽  
pp. 301-311
Author(s):  
G. Gerema ◽  
D. Lule ◽  
F. Lemessa ◽  
T. Mekonnen
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Bread Wheat ◽  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Grain Filling ◽  
Path Coefficient ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Positive Direct

Abstract. The present study was conducted to assess the nature and magnitude of genetic variability and traits association of bread wheat genotypes for yield and related traits. A total of 180 genotypes were evaluated in alpha lattice design with three replications in 2017/18 cropping season. Data for 10 quantitative traits were collected and subjected to analysis of variance. The result from the analysis of variance revealed highly significant variability observed among genotypes for all traits studied. Phenotypic coefficient of variation (PCV) is superior over genotypic coefficient of variation (GCV) for most traits but narrow variations were found between PCV and GCV for most of the traits. Heritability in broad sense and genetic advance as percent of the mean (GA%) were relatively higher for Kernels per spike and grain filling period. Grain yield showed positive and highly significant (p≤0.01) association with number of tillers, kernel per spike and plant height both on genotypic and phenotypic levels.The path coefficient analysis showed that spike length, plant height and kernels per spike had positive direct effect on grain yield on both genotypic and phenotypic levels. Divergence analysis (D2) grouped the total test germplasm into 10 clusters. Among those, clusters IV and IX showed the highest genetic distance and thus the possibility to develop segregating populations upon the crossing of widely related genotypes in those clusters. The results could help researches to utilize the most promising wheat genotypes of this study in future breeding programmes for enhancing desirable traits.

scholarly journals Correlation and path coefficient analysis of grain yield with yield components of bread wheat (Triticum aestivum L.) variety Adana-99

2018 ◽  
Vol 2ndInt.Conf.AGR (Special Issue) ◽  
pp. 689-698
Author(s):  
Shang Haseeb Abdulqader Noori Noori ◽  
◽  
Shwana Ahmad Hussain Ghafoor Ghafoor ◽  
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Bread Wheat ◽  
Yield Components ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis

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.

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