scholarly journals Correlation and Path Coefficient Analysis for Grain Yield and Yield Components in Chickpea (Cicer arietinum L.) under Normal and Late Sown Conditions of Bihar, India

Author(s):  
Tejashwini Agrawal ◽  
Anand Kumar ◽  
Sanjay Kumar ◽  
Anil Kumar ◽  
Ravi Ranjan Kumar ◽  
...  
2003 ◽  
Vol 6 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Muhammad Bashir Alvi ◽  
Muhammad Rafique . ◽  
Muhammad Shafique Ta . ◽  
Amer Hussain . ◽  
Tariq Mahmood . ◽  
...  

2018 ◽  
Vol 111 (3) ◽  
pp. 661
Author(s):  
Awol Mohhammed ADEM ◽  
Asnake FIKRE

<p>The experiment was done on 202 new chickpea (Cicer arietinum L.) landraces with 2 checks to assess the association, direct and indirect effect of different characters on yield. The experiment was planted at Sirinka and Jari, Ethiopia, under rain fed condition in 2016 using alpha lattice design with three replications. Data were collected on yield and yield related traits. Analysis of variance showed highly significant differences among genotypes. The correlation of grain yield with biomass and with harvest index was positive and highly significant both at genotypic and phenotypic levels. In addition, its association with pod filling period, plant height, secondary branches and hundred seed mass was positive but insignificant both at genotypic and phenotypic levels. Path coefficient analysis at genotypic level showed that among the 15 causal (independent) traits; biomass, harvest index, pod length, days to pod setting, pod filing period, canopy width, primary branches, secondary branches, and number of pods per plant had positive and directly influence on grain yield. Although the days to flowering, plant height and hundred seed mass had positive genotypic correlation with grain yield. In general correlation coupled with path coefficient analysis revealed that biomass and harvest index had a direct relationship with seed yield.<em></em></p>


Genetika ◽  
2010 ◽  
Vol 42 (3) ◽  
pp. 529-534 ◽  
Author(s):  
Aleksandra Nastasic ◽  
Djordje Jockovic ◽  
Mile Ivanovic ◽  
Milisav Stojakovic ◽  
Jan Bocanski ◽  
...  

One of the objectives of this paper was to determine relationship between grain yield and yield components, in S1 and HS progenies of one early synthetic maize population. Grain yield was in high significant, medium strong and strong association with all studied yield components, in both populations. The strongest correlation was recorded between grain yield and 1000-kernel weight (S1 progenies rg = 0.684; HS progenies rg = 0.633). Between other studied traits, the highest values of genotypic coefficient of correlations were found between 1000-kernel weight and kernel depth in S1 population, and 1000-kernel weight and ear length in HS population. Also, objective of this research was founding the direct and indirect effects of yield components on grain yield. Desirable, high significant influence on grain yield, in path coefficient analysis, was found for 1000-kernel weight and kernel row number, and in S1 and HS progenies, and for ear length in population of S1 progenies. Kernel depth has undesirable direct effect on grain yield, in both populations.


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