scholarly journals Genetic relationship between yield and yield components of maize

Genetika ◽  
2010 ◽  
Vol 42 (3) ◽  
pp. 529-534 ◽  
Author(s):  
Aleksandra Nastasic ◽  
Djordje Jockovic ◽  
Mile Ivanovic ◽  
Milisav Stojakovic ◽  
Jan Bocanski ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Strong Association ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Maize Population ◽  
Yield And Yield Components ◽  
Kernel Row Number

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.

Character Association and Path Coefficient Analysis of Grain Yield and Yield Components Maize (Zea mays L.)

2003 ◽  
Vol 6 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Muhammad Bashir Alvi ◽  
Muhammad Rafique . ◽  
Muhammad Shafique Ta . ◽  
Amer Hussain . ◽  
Tariq Mahmood . ◽  
...  
Keyword(s):  
Zea Mays ◽  
Grain Yield ◽  
Yield Components ◽  
Zea Mays L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Character Association ◽  
Yield And Yield Components

scholarly journals Correlation and Path Coefficient Analyses of Grain Yield and Yield Components in Two-Rowed of Barley (Hordeum vulgare convar. distichon) Varieties

2012 ◽  
Vol 4 (2) ◽  
pp. 128-131 ◽  
Author(s):  
Emine BUDAKLI CARPICI ◽  
Necmettin CELIK
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Indirect Effects ◽  
Yield Components ◽  
Harvest Index ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Kernel Number ◽  
Yield And Yield Components ◽  
Spike Number

This research sought to determine the correlations between grain yield and yield components and to measure the direct and indirect effects of yield components on grain yield in barley by using correlation coefficient and path analysis methods, respectively. This research was conducted with ten varieties of two-rowed barley under the ecological conditions of the coastal zone of northwest Turkey during the years 2003-2004. Agronomic traits such as grain yield, plant height, spike length, kernel number per spike, kernel weight per spike, spike number per m2, harvest index and 1000-kernel weight were determined. The data from two years were combined. Correlation analyses indicated that the grain yield was positively and significantly associated with all the yield components except 1000-kernel weight. The highest correlation coefficients were found between grain yield and kernel number per spike (r = +0.406), and between grain yield and harvest index (r = +0.474). Results of path analyses indicated that harvest index had the greatest direct effect (+0.7716) on grain yield followed by spike number per m2 (+0.3359) and kernel number per spike (+0.2081). Percentages of their direct effect were 71.97%, 48.47% and 28.22%, respectively. On the other hand, most of the indirect effects of yield components on grain yield were found to be significant and positive. Because of the significant effects of the harvest index, spike number per m2 and kernel number per spike on grain yield, they may be regarded as criteria for barley improvement and breeding programs.

scholarly journals Correlation and Path Coefficient Studies in F2 Populations of Rice

2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Stepwise Regression ◽  
Path Coefficient ◽  
Direct Effects ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Yield Variation ◽  
Rice Genotypes

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.

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