scholarly journals Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index

2017 ◽  
Vol 20 (3) ◽  
pp. 132-139 ◽  
Author(s):  
Abdalla Dao ◽  
Jacob Sanou ◽  
Edgar V.S. Traor ◽  
Vernon Gracen ◽  
Eric Y. Danquah
Keyword(s):  
Selection Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Maize Hybrids ◽  
Drought Tolerant ◽  
Selection Of

Path Coefficient Analysis, Character Association and Variability Studies in Selected Maize (Zea mays L.) Genotypes Grown in Southern Nigeria

2019 ◽  
pp. 1-6
Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Seed Weight ◽  
Block Design ◽  
Selection Index ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
100 Seed Weight

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.

Divergence studies of blackgram (Vigna mungo L) for selection of drought tolerant genotypes under rainfed conditions of North Western Himalayas in J and K, India

2019 ◽  
Author(s):  
Sanjeev Kumar ◽  
Anil Kumar ◽  
Sonika Jamwal ◽  
Vikas Abrol ◽  
A. P. Singh ◽  
...  
Keyword(s):  
Path Coefficient ◽  
Western Himalayas ◽  
Additive Variance ◽  
Pod Yield ◽  
Kernel Width ◽  
Drought Tolerant ◽  
High Level ◽  
Positive Direct ◽  
Pod Length ◽  
Selection Of

Present investigation was conducted in 31 groundnut accessions to assess genetic divergence, characters association involving 13 quantitative characters and path coefficients in order to identify superior accessions exhibiting higher genetic diversity. Number of pods/plant, secondary branches, kernel width, and pod yield displayed a higher level of coefficient of variation both at phenotypic and genotypic level. Genetic advance with higher heritability indicated preponderance of additive variance for pod length, pod yield, and number of pods/plant. Number of secondary branches, kernel width, pod length, and number of pods/plant revealed significant positive correlation with pod yield. Path coefficient analysis revealed exertion of high positive direct effects on pod yield through pod length, kernel width and number of pods/plant. Cluster analysis exhibited substantial diversity among 31 accessions forming 13 clusters. Two clusters [X (two accessions) and XII (one accession)] showed the largest distance, which suggests hybridization between these accessions to achieve high level of heterosis for further exploitation. Five accessions viz., TAG-24, TG-69, ICGV-02005, TG-73 and TG-80 were identified as the most divergent for future use.

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 Selection Index in the Study of Adaptability and Stability in Maize

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Rogério Lunezzo de Oliveira ◽  
Renzo Garcia Von Pinho ◽  
Daniel Furtado Ferreira ◽  
Luiz Paulo Miranda Pires ◽  
Wagner Mateus Costa Melo
Keyword(s):  
Principal Components ◽  
Predictive Accuracy ◽  
Selection Index ◽  
The Other ◽  
Gge Biplot ◽  
Southern Brazil ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
The Stability ◽  
Selection Of

This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was estimated by means of the generalized Mahalanobis distance for each plot of the test. We then proceeded to GGE biplot analysis in order to compare the predictive accuracy of the GGE models and the grouping of environments and to select the best five hybrids. The G × E interaction was significant for both variables assessed. The GGE model with two principal components obtained a predictive accuracy (PRECORR) of 0.8913 for the GIDI and 0.8709 for yield (t ha−1). Two groups of environments were obtained upon analyzing the GIDI, whereas all the environments remained in the same group upon analyzing yield. Coincidence occurred in only two hybrids considering evaluation of the two features. The GIDI assessment provided for selection of hybrids that combine adaptability and stability in most of the variables assessed, making its use more highly recommended than analyzing each variable separately. Not all the higher-yielding hybrids were the best in the other variables assessed.

Heritability and genetic gain for grain yield and path coefficient analysis of some agronomic traits in early-maturing maize hybrids

Euphytica ◽  
2015 ◽  
Vol 206 (1) ◽  
pp. 225-244 ◽  
Author(s):  
Siphesihle G. Maphumulo ◽  
John Derera ◽  
Fikile Qwabe ◽  
Pedro Fato ◽  
Edmore Gasura ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Gain ◽  
Agronomic Traits ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Maize Hybrids ◽  
Early Maturing

scholarly journals Diversity and path coefficient analysis of Southern African maize hybrids

2016 ◽  
Vol 76 (2) ◽  
pp. 143-151 ◽  
Author(s):  
Lorraine Mhoswa ◽  
John Derera ◽  
Fikile N.P Qwabe ◽  
Tatenda R Musimwa
Keyword(s):  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Maize Hybrids

Character association and path coefficient analysis for yield components and grain yield in soybean [Glycine max (L.) Merill.]

2017 ◽  
Author(s):  
S. U. Yahaya ◽  
E. Ankrumah.
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Path Coefficient ◽  
Research Station ◽  
Path Coefficient Analysis ◽  
Rhizobium Inoculation ◽  
Glycine Max L ◽  
Criteria For Selection ◽  
Selection Of ◽  
Plot Design

Field experiment was conducted during kharif 2014 at the Agricultural Research Station Farm, Minjibir, Bayero University, Kano. The study was conducted to know the nature and magnitude of the associations of some yield attributing characters on grain yield in Soybean. There are eighteen treatments consisting of two levels (inoculated and non-inoculated) of rhizobium inoculation, three levels (0, 10, and 20 kg N ha-1) of nitrogen and three levels (0, 30, and 60 kg P2O5 ha-1) of phosphorus. These were laid in split-split plot design with three replications. Results of the study showed significant (p less than 0.01) positive associations between all the measured characters and grain yield. The path analysis also revealed that number of pods per plant has the greatest direct effect on grain yield. The greatest combined contributions of yield characters to grain yield in soybean were observed from number of pods per plant and number seeds per pod. Based on these findings, attention can be given towards improvement of number of pods per plant and number of seeds per pod as criteria for selection of soybean for increased grain yield.

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