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.

scholarly journals Character association and path coefficient analysis for grain yield of parents and hybrids in rice (Oryza sativa L.)

2016 ◽  
Vol 8 (1) ◽  
pp. 167-172
Author(s):  
A. Srijan ◽  
S. Sudheer Kumar ◽  
Ch. Damodar Raju ◽  
R. Jagadeeshwar
Keyword(s):  
Grain Yield ◽  
Selection Criteria ◽  
Rice Yield ◽  
Oryza Sativa L ◽  
Research Centre ◽  
Path Coefficient ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Breeding Programmes ◽  
Panicle Weight

An experiment was conducted to study the inter-relationships, direct and indirect effects of various yield attributing characters towards grain yield per plant, at Rice Research Centre, Rajendranagar. Grain yield per plant had significant positive correlation with productivity per day (0.97), panicle weight (0.71), number of filled grains per panicle (0.57), panicle length (0.46), number of productive tillers per plant (0.34), days to 50 per cent flowering (0.23) and plant height (0.16).Path analysis revealed that productivity/ day (0.91) was the major contributor for grain yield followed by, days to 50 per cent flowering (0.19), grain length (0.05), number of productive tillers per plant (0.04), panicle weight (0.04) and number of filled grains per panicle (0.04). It can be concluded from the study that, the above characters can be used as the selection criteria in any rice yield improvement breeding programmes.

scholarly journals Korelasi Hasil dan Komponen Hasil Padi Hibrida di Dua Lokasi Pengujian

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Nita Kartina
Keyword(s):  
Grain Yield ◽  
Selection Criteria ◽  
Hybrid Rice ◽  
Block Design ◽  
Yield Component ◽  
Path Coefficient ◽  
Central Java ◽  
Randomized Complete Block Design ◽  
Rice Genotypes ◽  
Materials Used

<p>One of the objectives in rice breeding is to increase grain yield. The research was to evaluate numbers of hybrid rice genotypes and also to obtain the information about grain yield correlation main, grain yield component from numbers of hybrid rice genotypes and influencial character as selection criteria. The experiment conducted in the second season (MT II) of 2013 at Cilacap, Central Java province and in Malang, East Java province by using Randomized Complete Block Design (RCBD) with four replications. The genetic materials used were 18 hybrid rice genotypes and two check varieties namely Hipa8 and Ciherang. The results showed that grain yield had been effected by location, genotypes and both interactions. Hipa8 give yield average 9 t/ha while Ciherang 8.78 t/ha. There were two hybrid rice genotypes have equal yield statitistically with both check varieties. The hybrids were A7/BH25B-1B(9.13 t/ha) and IR58025A/CRS516 (9.15 t/ha). Based on path analysis numbers of empty grain, seed set, plant high and number of productive tillers have direct effect to yield with path coefficient of 0.0437; 0.3114; 0.,1952 and 1.931.These characters could be used as selection criteria.</p>

scholarly journals Study of Trait Alliance with Grainyield, Its Attributes of Different Land Races of Maize (Zea MaysL.)

2017 ◽  
Vol 5 (2) ◽  
pp. 184-190
Author(s):  
R. A. Gami ◽  
J.M Patatel ◽  
G. K. Chaudhary ◽  
S. M. Chaudhary
Keyword(s):  
Grain Yield ◽  
Positive Association ◽  
Path Coefficient ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Land Races ◽  
Component Traits ◽  
Ear Height ◽  
Positive Direct

The research was carried out to study the correlation and path coefficient analysis of 51 different land races of maize for yield and component traits. Analysis of correlation between different characters suggested that the value of genotypic correlation were somewhat higher as compared to their corresponding phenotypic correlations signified the inherent relationship among the characters. Grain yield kg per ha. showed significant positive association with days to 50% pollenshed, days to 50% silking, days to 75% dry husk, number of cobs per plot, cob weight per plot and shalling perportion at both genotypic and phenotypic levels. Path co-efficient analysis revealed that the maximum positive direct effects of cob weight per plot, shelling perportion, ear height and number of cobs per plot towards grain yield. This finding suggested that more emphasis should be given to number of cobs per plot, cob weight per plot and shalling perportion in selection programmes aiming to improve grain yield in maize.

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 Path analysis for grain yield in barnyard millet (Echinochloa frumentacea (Roxb.) link )

2015 ◽  
Vol 44 (1) ◽  
pp. 147-150
Author(s):  
R Prakash ◽  
C Vanniarajan
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Association Studies ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Barnyard Millet ◽  
Straw Yield ◽  
Echinochloa Frumentacea

Path coefficient analysis was studied in 65 genotypes of barnyard millet to find out the association studies of characters and their direct and indirect effects on grain yield/plant. Results exhibited that single earhead weight had maximum direct effects on grain yield/plant followed by straw yield/plant, earhead length and plant height. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22739 Bangladesh J. Bot. 44(1): 147-150, 2015 (March)

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

Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

2017 ◽  
Author(s):  
Karthika Gunasekaran ◽  
Rajeswari Sivakami ◽  
Robin Sabariappan ◽  
Govintharaj Ponnaiah ◽  
Vishnu Varthini Nachimuthu ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Dominant Gene ◽  
High Yield ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
High Heritability ◽  
Rice Genotypes

Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied. The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant. The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance.

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