scholarly journals Creating variability through interspecific hybridization and its utilization for genetic improvement in mungbean [Vigna radiata (L.) Wilczek]

2017 ◽  
Vol 9 (2) ◽  
pp. 1101-1106 ◽  
Author(s):  
Simranjeet Kaur ◽  
T. S. Bains ◽  
Pritpal Singh
Keyword(s):  
Interspecific Hybridization ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Harvest Index ◽  
Phenotypic Selection ◽  
Genetic Enhancement ◽  
Path Coefficient ◽  
Plant Seed ◽  
Component Traits ◽  
Selection For

Interspecific hybridization is important for genetic enhancement of crop plants. The present study was conducted to study genetic variation in advanced interspecific lines of mungbean for yield and its component traits, to determine the association among different traits and their contribution towards seed yield through correlation and path coefficient analysis. A set of 64 genotypes including 51 advanced interspecific lines derived from mungbean (Vigna radiata L. Wilczek) × urdbean (Vigna mungo L. Hepper) and mungbean (Vigna radiata L. Wilczek) × ricebean (Vignaumbellata Thumb.) crosses and 13 parents (mungbean, urdbean and ricebean) was the experimental material for this study. The mean sums of squares for genotypes were highly significant for all the traits. Mean sum of squares for replications were also highly significant for all traits except days to 50 % flowering, days to maturity and harvest index at 1 % and 5 % level of significance. This indicated substantial magnitude of diversity and variability in the interspecific lines and parents under study, which could be further exploited. High to moderate PCV and GCV along with high heritability and genetic advance was observed for biological yield per plant, seed yield per plant and plant height, indicating that these traits could be easy targets for phenotypic selection and consequently, may be improved genetically via simple plant selection methods. On the basis of correlation studies, it could be concluded that all the traits under investigation except number of seeds per pod and harvest index were important for selection for yield improvement. Path analysis further revealed that harvest index could also be one of the criteria of selection for higher yield in these interspecific lines.

scholarly journals Genetic studies and their implication to breed desired plant type in opium poppy, Papaver somniferum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 69-81 ◽  
Author(s):  
S.P. Singh ◽  
S. Shukla ◽  
H.K. Yadav
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Selection Index ◽  
Papaver Somniferum ◽  
Opium Poppy ◽  
Path Coefficient ◽  
Plant Type ◽  
Plant Seed ◽  
Component Traits ◽  
High Heritability

The extent of genetic variability, heritability, correlation coefficient and path analysis were analyzed for opium yield, seed yield and eight component traits in a group of 101 germplasm lines of different ecogeographical origin. Heritability was high for all the characters except capsules/plant. High heritability coupled with high genetic advance and coefficient of variability was noticed for capsule weight/plant, capsule area, husk yield/plant, seed yield/plant, opium yield/plant and leaves/plant. Opium yield, seed yield, husk yield and capsule weight exhibited positively significant correlation among themselves and these four characters had also positive significant genotypic correlation with plant height, branches/plant, capsules/plant, capsule area and leaves/plant. Path coefficient analysis indicated that capsule weight/plant had highest direct path towards opium yield (2.267) followed by capsules/plant (0.291), capsule area (0.203), plant height (0.155) and leaves/plant (0.101). Considering the direct and indirect selection of major contributors, a plant type in opium poppy (Papaver somniferum L.) based on multiple selection index has been discussed to enhance opium yield on one hand and dual purpose varieties (opium and seed yield) on the other hand.

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 Relationships between seed yield and yield components in narbon bean (Vicia narbonensis L.) by path analysis

1970 ◽  
Vol 37 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Mevlüt Türk ◽  
Necmettin Çelik ◽  
Gamze Bayram ◽  
Emine Budakli
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Stepwise Multiple Regression ◽  
Path Coefficient ◽  
Vicia Narbonensis ◽  
Biological Yield ◽  
Primary Selection ◽  
Positive Direct ◽  
Weight Number

Results of correlation analysis indicated that seed yield in narbon bean (Vicia narbonensis L.) was correlated positively with harvest index, biological yield, weight, number of seed and number of pod per plant and also plant height and number of plant per m2. Path coefficient analyses revealed that harvest index and biological yield had higher positive direct effects on seed yield than other variables. Stepwise multiple regression analysis showed that 95.1% of total variation in seed yield could be explained by the variation in harvest index, biological yield and plant height. Results suggest that harvest index and biological yield are primary selection criteria for improving seed yield in narbon bean.   

Genetic correlation and coheritability between F1 and F2 generations for quantitative traits in some crosses of green gram (Vigna radiata L. Wilczek)

2011 ◽  
Vol 59 (1) ◽  
pp. 57-63
Author(s):  
S. Chakraborty ◽  
H. Borah ◽  
B. Borah ◽  
D. Pathak ◽  
A. Zaman ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Vigna Radiata ◽  
Harvest Index ◽  
Green Gram ◽  
Phenotypic Correlations ◽  
Genotypic And Phenotypic Correlations ◽  
Additive Gene ◽  
Pod Length

Quantitative data were collected and analysed on 10 metric characters from F1s and F2s of sixteen green gram (Vigna radiata L. Wilczek) hybrids, developed from ten genetically diverse parents, to obtain information on variability, heritability, coheritability, and genotypic and phenotypic correlations. The increased genetic variability of F2 over F1 was observed for plant height, number of primary branches, pods/cluster, pods/plant, pod length and harvest index, suggesting the greater segregation and recombination of genes governing these characters. The high broad-sense heritability coupled with high genetic advance for plant height, days to 50% flowering and pod length in both F1s and F2s indicated the predominant role of additive gene action in their expression. The genotypic and phenotypic correlations between F1 and F2 were significant and positive for seven characters. The coheritability estimates between F1 and F2 had values of over 0.25 and were positive for six characters, but not for seed yield/plant, days to 50% flowering, clusters/plant or pods/plant. Within the F1 and F2 generations, seed yield/plant showed significant positive genotypic and phenotypic correlations with eight characters. The seed yield in green gram could be easily enhanced by practising selection on plant height, number of primary branches, pods/cluster, pod length and harvest index.

Association among genetic parameters in Indian mustard (Brassica juncea L. Czern and Coss.)

2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Gene Effects ◽  
Plant Seed ◽  
Biological Yield

The considerable amount of genetic variability on the basis of GCV and PCV estimates for the traits; days to 50% flowering, numbers of primary and secondary branches per plant, length of siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index were found in thirty five genotypes of Indian mustard (Brassica juncea L. Czern and Coss). Heritability and genetic advance were higher for days to 50% flowering, plant height and biological yield per plant. Although, number of secondary branches per plant, seed yield per plant and harvest index had moderately high heritability with moderate genetic advance indicating additive gene effects and selection pressure could be applied on them for yield improvement leads to fast genetic improvement of the materials. Days to 75% maturity, length of siliqua, 1000-seed weight and oil content had low heritability indicating that these traits were under the influence of environmental factors and selection on the basis of these traits could not be effective.

The optimum foliar zinc source and level for improving Zn content in seed of chickpea

2015 ◽  
Vol 38 (6) ◽  
Author(s):  
Nihal Kayan ◽  
Nurdilek Gulmezoglu ◽  
Mehmet Demir Kaya
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Harvest Index ◽  
Foliar Application ◽  
Seed Number ◽  
Plant Seed ◽  
Zn Content ◽  
Pod Number

The comparative effect of 0, 0.2, 0.4, 0.6 and 0.8% Zn levels of zinc chelate (Zn-EDTA; 8% Zn) and zinc sulfate (23% Zn) applied as foliar sprays for assuaging zinc deficiency of chickpea cv. Gökçe was evaluated under field condition. The sprays were applied on the plants before blooming stage during 2012 and 2013 growing seasons and seed yield, yield components like plant height, pod number per plant, seed number per plant, hundred seed weight, harvest index and mineral concentrations (nitrogen, phosphorus, zinc and iron) in seeds were investigated. Plant height, pod number per plant, seed number per plant, hundred seed weight, harvest index and seed yield were investigated. The results showed that increased zinc doses caused an increase in Zn content of seed, while seed yield was not affected similarly. In general, plant height, pod number and seed number per plant increased by the application of zinc. Lower dose of Zn-EDTA and higher dose of ZnSO<sub>4</sub> gave higher yield components. Seed weight, harvest index and seed yield were not significantly influenced by Zn sources and doses; however, mineral concentration of seeds enhanced when Zn doses were increased. It was concluded that foliar application of zinc resulted in an increase in seed mineral contents rather than seed yield of chickpea. The dose of 0.6% with Zn-EDTA was the optimum combination for Zn enrichment in seed of chickpea.

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.

scholarly journals Studies on Genetic Diversity in Desi Chickpea (Cicer arietinum L.) using D2 Statistics

2021 ◽  
pp. 100-104
Author(s):  
Jakkam Mahipal Reddy ◽  
Gabrial M. Lal ◽  
Velugoti Priyanka Reddy ◽  
Subhadra Pattanayak ◽  
V. Rohith Guptha ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Quantitative Traits ◽  
Direct Selection ◽  
Plant Seed ◽  
Cicer Arietinum L ◽  
Wide Range ◽  
Component Traits ◽  
Superior Genotypes

A trail was conducted during rabi 2020 to study genetic diversity among 36 favorable genotypes of chickpea (Cicer arietinum L.) with help of Mahalanobis D2 statistics. On the basis of D2 values, 36 genotypes were arranged into 5 clusters. The intra cluster distances were lower than inter-cluster distances, specifying that genotypes comprised within a cluster shows tendency to vary less apart from each other. Out of thirteen characteristics considered, secondary branches per plant, number of pods per plant, seed yield per plant, harvest index and plant height, contributed very much in relation to genetic divergence. Wide range of variability was noticed for quantitative traits. This suggested that the selection based on these characteristics would be valuable in improving the grain yield. Therefore, a direct selection based on seed yield and component traits may be practiced to choose superior genotypes which could be utilized in breeding program for the development of high yielding chickpea genotypes.

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