Genetic Variability of Seed Yield and Agronomic Characters in Festuca Hybrids and Amphiploids

Crop Science ◽  
1991 ◽  
Vol 31 (1) ◽  
pp. 56-60 ◽  
Author(s):  
D. M. Burner ◽  
G. C. Eizenga ◽  
R. C. Buckner ◽  
P. B. Burrus
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Agronomic Characters

scholarly journals Genetic Variability, Heritability, and Genotypic Correlation of Soybean Agronomic Characters

2021 ◽  
Vol 19 (2) ◽  
pp. 117
Author(s):  
Heru Kuswantoro ◽  
Moch Muchlish Adie ◽  
Pratanti Haksiwi Putri
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Genetic Parameters ◽  
Genotypic Correlation ◽  
Agronomic Characters ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Number Of Branches

<p>Genetic parameters are important in genetic improvement and variety development. This study aimed to determine the effective characters that can be applied as selection criterion in soybean breeding using genetic parameters. About 100 soybean genotypes were grown in the Muneng Agricultural Technology Research and Assessment Installation from April to July 2020. The trial was conducted using a randomized complete block design. The results showed that high genetic variability was found on days to maturity, number of branches per plant, number of productive nodes per plant, 100-seed weight, and seed yield. The high heritability was shown by days to maturity, plant height, number of branches per plant, and 100-seed weight. All phenotypic correlations were significant, except for the correlation between seed yield and days to maturity, plant height, number of branches, and number of productive nodes. The seed yield had no genotypic correlation with all agronomic characters observed. The genotypic correlation was only significant for plant height and number of productive nodes, number of branches and number of filled pods, as well as number of productive nodes and 100-seed weight. Therefore, the improvement of seed yield can be conducted through direct selection using the seed yield parameter or indirectly using the 100-seed weight.<br /><br /></p>

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Study of genetic variability parameters for seed yield and its component traits in mungbean germplasm under arid environment

2020 ◽  
Vol 8 (4) ◽  
pp. 2308-2311
Author(s):  
Anil Kumar ◽  
NK Sharma ◽  
Ravindra Kumar ◽  
Sanjay Kumar Sanadya ◽  
Smrutishree Sahoo ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Arid Environment ◽  
Component Traits

scholarly journals Genetic variability studies for selection of elite germplasm in sesame (Sesamum indicum L.)

2019 ◽  
Vol 81 (2) ◽  
pp. 87-104
Author(s):  
Sabrin Sultana ◽  
Firoz Mahmud ◽  
Md Abdur Rahim
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Sesamum Indicum ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Medicinal Value ◽  
Cluster Distance ◽  
Sesame Genotypes ◽  
Elite Germplasm ◽  
Selection Of

Sesame (Sesamum indicum L.) is one of the oldest oilseed crops and important for high nutritional quality as well as medicinal value. Fifty diverse sesame genotypes were evaluated to study genetic variability. The results revealed that the genotypes were a significant variation in most of the studied characters. In all cases, the phenotypic variances were much higher than genotypic variances suggests a higher level of the environmental effect on the expression of these characters. The highest genotypic coefficient of variations (GCV) was observed in seed yield per plant while the highest heritability was exhibited by hundred seed weight followed by days to 80% maturity, pods per plant, number of branches per plant and seed yield per plant. The genotypic correlation with seed yield per plant showed a significantly strong positive with days to 50% flowering, plant height and number of pods per plant at both the genotypic and phenotypic level. The path coefficient analysis showed that pods per plant and seeds per pod were the most important contributing traits to seed yield. The 50 sesame genotypes were grouped into five clusters. The highest inter-cluster distance was observed between the cluster III and V while the lowest inter-cluster distance was observed between the cluster III and IV. Among 50 sesame genotypes G7, G36, G38 and G46 might be suggested for future hybridization program for the improvement of sesame yield.

Genetic variability and character association studies for seed yield and component characters in soybean [Glycine max (L.) Merrill] under North-western Himalayas

2018 ◽  
Author(s):  
Santosh Kumar ◽  
Vedna Kumari ◽  
Vinod Kumar
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Harvest Index ◽  
Association Studies ◽  
Block Design ◽  
Direct Selection ◽  
Western Himalayas ◽  
Plant Seed ◽  
Biological Yield ◽  
Four Blocks

The present investigation was undertaken to assess the genetic variability and character associations for seed yield and component characters in 307 soybean germplasm lines. The lines were raised in augmented block design in four blocks during kharif 2014. Out of these, twenty seven promising genotypes were selected and forwarded for evaluation along with four checks in randomized block design with three replications at CSKHPKV, Palampur (H.P) during kharif 2015. The analysis of variance revealed the presence of sufficient genetic variability in the breeding material. High PCV and moderate GCV were recorded for harvest index and biological yield/plant. High heritability coupled with high genetic advance were observed for harvest index followed by biological yield /plant, seed yield /plant, number of pods/plant and 100-seed weight indicating the predominance of additive gene action in controlling the trait. Number of branches /plant, number of seeds /pod, biological yield/plant and harvest index exhibited significantly positive correlation with seed yield /plant both at phenotypic and genotypic levels. Two traits viz., harvest index and biological yield /plant could be considered as direct selection indices for yield improvement in soybean.

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