scholarly journals Genetic variability, heritability and genetic advance in linseed (Linum usitatissimum L) genotypes for seed yield and other agronomic traits

2020 ◽  
Vol 5 (3) ◽  
pp. 156-160
Author(s):  
Gemechu Nedi Terfa ◽  
Gudeta Nepir Gurmu
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Agronomic Traits ◽  
Genetic Advance ◽  
Linum Usitatissimum L

scholarly journals Genetic Variability, Heritability, Genetic advance and Divergence in Ethiopian Cowpea [Vigna unguiculata (L) Walp] Landraces

2020 ◽  
Author(s):  
Fantaye Belay ◽  
Kibrom Fischa
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Grain Filling ◽  
Genetic Advance ◽  
Improvement Program ◽  
Cluster Distance

Abstract Information on genetic variability in cowpea germplasm is important for crop improvement and for efficient utilization of the existing genetic resources. Hence, the objectives of the present investigation were to estimate genetic variability, heritability, genetic advance and to identify divergent parents from distantly related clusters among Ethiopian cowpea accessions. The field experiment was carried out using 42 accessions at Abergelle Agricultural Research Center on station during the 2019 cropping season. Data were collected for 8 agronomic traits and analysis of variance revealed significant differences (p<0.01) among the accessions for the traits studied. Seed yield had higher genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) coupled with the highest genetic advance as percent of mean (100%). All the traits had moderate (68.01) to very high (99.98%) broad sense heritability. Further, high heritability coupled with high genetic advance as percent of mean was attained for days to flowering, grain filling period, plant height, pod length, seed yield and thousand seed weight reflecting the presence of additive gene action for the expression of these traits and improvement of these traits could be done through selection. The cluster analysis based on agronomic traits revealed four distinct groups at 90% similarity level. The highest inter cluster D2 was recorded between cluster III and cluster IV (D2=133.69 units). The range of inter cluster distance was 15.25 to 133.69 units, respectively. In conclusion, the high genetic distance revealed among clusters has to be exploited via crossing and selection of the most divergent parents for future cowpea improvement program.

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

2020 ◽  
Author(s):  
T. Basavaraja ◽  
L. Manjunatha ◽  
Rahul Chandora ◽  
S. Gurumurthy ◽  
N.P. Singh
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Genetic Advance ◽  
High Heritability ◽  
Augmented Design ◽  
Pod Length ◽  
Trait Correlation ◽  
Number Of Branches

The present investigation was undertaken to study the genetic variability, diversity through cluster analysis and correlation among yield attributing traits. The experimental material is comprised of 63 diverse germplasm accessions including three check varieties were evaluated in augmented design during Rabi 2015-16 at IIPR, Kanpur. In this study, totally nine traits, namely, days to fifty per cent flowering (DF), days to maturity (DM), plant height (PH), number of branches per plant (NBP), number of pods per plant (NPP), pod length (PL), seeds per pod (SPP), 100 seeds wt (g) (HSW) and seed yield per plant (g) (SYP) were recorded. The results exhibited that the analysis of variance noticed significant differences among the genotypes for all characters studied. The genetic variability parameter showed that phenotypic coefficient of variation (PCV) were higher than those of genotypic coefficient of variation (GCV) for all the traits studied. Higher GCV coupled with heritability and genetic advance as % mean was recorded for PH, NPP, HSW and SYP. Likewise, high heritability coupled with high genetic advance as % mean was recorded in DF, PH, NPP, PL, HSW and SYP. Trait association study revealed that the seed yield per plant exhibited significant positive correlation with NBP, NPP, NSP and HSW. In the same pattern, Euclidian clustering analysis displays 63 genotypes were grouped to two major clusters. From this investigation, it was observed that all genotypes showed sufficient genetic variability for the traits studied. The genotype such as EC400414, EC400398, ET8415 and EC540173 were superior to check varieties in terms of morphological and other agronomic traits. These genotypes could be utilized in breeding programme for improvement of specific traits. 

Genetic variability, mean performance and analysis of variance in Linseed (Linum usitatissimum L.)

2019 ◽  
Vol 4 (01) ◽  
pp. 89-95
Author(s):  
Ravindra Kumar Kasana ◽  
P. K. Singh ◽  
Amit Tomar ◽  
Mahak Singh
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Harvest Index ◽  
Linum Usitatissimum L ◽  
Days To Maturity ◽  
Biological Yield ◽  
Number Of Seeds

The most promising lines showing highest seed yield with high mean performance for other yield contributing characters were identified as EC-22672, NDLS-164, NDLS-169 and NDLS-205-03-02. The genotypes exhibiting highest mean performance for different characters such as EC-22672 for seed yield per plant, SLS-50, NDL-204, Meera and NDLS-204 for early days to 50% flowering, NDLS-181 for early days to maturity, EC- 41494 for plant height, NDLS-77 for primary branches per plant, NDLS-169 for secondary branches per plant, EC-41404 for number of capsules per plant, EC-41494 for number of seeds per capsule, Shekhar for biological yield, EC-23269 for harvest index and SLS-48 for test weight.

Combining ability and heterosis studies across environments in linseed (Linum usitatissimum L.)

2011 ◽  
Vol 59 (1) ◽  
pp. 87-102 ◽  
Author(s):  
S. Sood ◽  
N. Kalia ◽  
S. Bhateria
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Combining Ability ◽  
Yield Components ◽  
Block Design ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Component Traits ◽  
Parental Lines ◽  
Fibre Yield

Combining ability and heterosis were calculated for fourteen lines of linseed in a line × tester mating design using twelve lines and two diverse testers in two different environments. The hybrids and parental lines were raised in a completely randomized block design with three replications to investigate seed and fibre yield and their component traits. Genetic variation was significant for most of the traits over environments. Combining ability studies revealed that the lines KL-221 and LCK-9826 were good general combiners for seed yield and most of its components, whereas LMH-62 and LC-2323 were good general combiners for yield components only. Moreover, KL-221 was also a good general combiner for fibre yield. Similarly, B-509 and Ariane were good general combiners for fibre yield and most of its components. Among the specific cross combinations, B-509 × Flak-1 was outstanding for seed yield per plant and B-509 × KL-187 and LC-2323 × LCK-9826 for fibre yield per plant, with high SCA effects. In general, the hybrids excelled their respective parents and the standard checks for most of the characters studied. Based on the comparison of mean performance, SCA effects and the extent of heterosis, the hybrids LC-2323 × LCK-9826 and B-509 × KL-221 appeared to be the most promising for both seed and fibre yield. Other promising combinations were LC-2323 × KL-210 and B-509 × Ariane for seed and fibre yield, respectively. The superiority of LC-2323, LCK-9826, KL-221, B-509 and Ariane as good general combiners was further confirmed by the involvement of these parents in the desirable cross combinations.

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. 

Prairie Thunder flax

2014 ◽  
Vol 94 (2) ◽  
pp. 445-449 ◽  
Author(s):  
S. D. Duguid ◽  
K. Y. Rashid ◽  
E. O. Kenaschuk
Keyword(s):  
Fusarium Oxysporum ◽  
Linum Usitatissimum ◽  
Seed Quality ◽  
Agronomic Traits ◽  
Research Station ◽  
Linum Usitatissimum L ◽  
The Cross ◽  
Made In

Duguid, S. D., Rashid, K. Y. and Kenaschuk, E. O. 2014. Prairie Thunder flax. Can. J. Plant Sci. 94: 445–449. Prairie Thunder, medium-maturing oilseed flax (Linum usitatissimum L.), was released in 2006 by Agriculture and Agri-Food Canada, Morden Research Station, Morden, Manitoba. Developed from the cross AC Watson/FP1043 made in 1995, Prairie Thunder was evaluated in the Flax Cooperative Trials (2002–2004) before being registered in 2006. Prairie Thunder's desirable combination of improved agronomic traits, seed quality and superior wilt (Fusarium oxysporum Schlecht. f. sp. lini (Bolley) Snyder & Hansen) resistance should make this cultivar useful for producers and the flax industry.

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