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.

scholarly journals Assessment of genetic variability, correlation and path association in rice (oryza sativa l.)

1970 ◽  
Vol 18 ◽  
pp. 1-8
Author(s):  
SK Yadav ◽  
BG Suresh ◽  
Praveen Pandey ◽  
Binod Kumar
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Test Weight ◽  
Index Number ◽  
Panicle Length ◽  
Spikelets Per Panicle ◽  
Biological Yield

Context: Direct selection based on crop yields is often a paradox in breeding programmes because yield is a complex polygenically inherited character, influenced by its component traits.   Objectives: The present research work was taken up to assess genetic variability, phenotypic and genotypic associations between various components of grain yield to provide basis for selection and yield improvement in rice.   Materials and Methods: Correlation coefficient and path association are used to find out the degree (strength) and direction of relationship between two or more variable and for fixing up the characters which are having decisive role in influencing the yield. Therefore, a field experiment was carried out to establish the extent of association between yield and yield components and others characters in rice. Analysis of variance revealed that significant amount of genetic variability was present in the entire characters studied.   Results: High heritability coupled with high to moderate genetic advance as % of mean was observed on plant height seed yield per plant, biological yield, harvest index, test weight and number of spikelets per panicle suggesting preponderance of additive gene action in the expression of these characters. The correlation coefficient between seed yield per plant and other quantitative attributing to yield showed that grain yield was significantly and positively associated with harvest index, number of tillers per hill, number of panicle per plant, panicle length, number of spikelet's per panicle and test weight at both genotypic and phenotypic levels. Path coefficient at genotypic level revealed that harvest index, biological yield, number of tillers per hill, panicle length, number of spikelets per panicle, plant height and test weight had direct positive effect on seed yield per hill, indicating these are the main contributors to yield.Conclusion: From the correlation and path study it may be concluded that harvest index, number of tillers per hill, panicle length, and number of spikelet per panicle and test weight are the most important characters that contributed directly to seed yield per hill. Thus a genotype with higher magnitude of these traits could be either selected from existing genotypes or evolved by breeding program for genetic improvement of yield in rice.   Key words: Rice; variability; heritability; agro-morphological traits; correlation; pathDOI: http://dx.doi.org/10.3329/jbs.v18i0.8767 JBS 2010; 18(0): 1-8

scholarly journals Correlation and Path Analysis of Yield Contributing Traits and Seed Yield in Greengram [Vigna Radiata (L.) Wilczek]

2019 ◽  
Author(s):  
T. Anuhya Jayaprada ◽  
G. Roopa Lavanya ◽  
V. Ram Babu ◽  
Ch. Naga Sai Krishna ◽  
T. Sudheer Reddy
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Number Of Clusters ◽  
Plant Seed ◽  
Positive Correlation ◽  
Biological Yield ◽  
Seed Index ◽  
Number Of Seeds

The present investigation was undertaken to study the extent of interrelationship and direct and indirect effect of component characters on seed yield in a set of 20 genotypes of greengram. The material was evaluated in randomized block design with three replications during the Kharif, 2017. Observations were recorded for 13 quantitative characters. Correlation coefficient analysis revealed that seed yield per plant exhibit significant positive correlation with number of pods per plant, biological yield per plant, harvest index, plant height, number of seeds per pod, pod length, number of clusters per plant, seed index. Harvest index, biological yield per plant, number of pods per plant, seed index, number of seeds per pod, plant height and number of clusters per plant exhibited positive direct effect accompanied by significant positive correlation with seed yield. Thus priority should be given to these characters during selection for greengram yield improvement.

GROWTH RETARDANTS FOR CONTROL OF LODGING IN FLAX

1976 ◽  
Vol 56 (4) ◽  
pp. 799-803 ◽  
Author(s):  
G. H. GUBBELS
Keyword(s):  
Succinic Acid ◽  
Plant Height ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Trimethylammonium Chloride ◽  
Growth Retardants ◽  
Linum Usitatissimum L ◽  
Reduced Height ◽  
Early Late ◽  
Number Of Seeds

Redwood 65 and Linott flax (Linum usitatissimum L.) were grown in the field with and without added nitrogen to evaluate the use of growth retardants in reducing lodging. BAS 0660W (N-dimethylmorpholiniumchloride) at 0.21 and 0.63 kg/ha, chlormequat [(2- chloroethyl) trimethylammonium chloride] at 4.2 and 8.4 kg/ha, and ancymidol (α-cyclopropyl-α-(4-methoxyphenyl)-5-pyrimidinemethanol) at 1.05 and 3.15 kg/ha reduced plant height but failed to reduce lodging or increase seed yield when applied at 1,044 liters/ha. Two years of tests with SADH (succinic acid-2, 2-dimethylhydrazide) at 4.2 and 8.4 kg/ha also resulted in no benefits. A third year of testing with SADH, applied early, late and early + late, resulted in reduced duration of flowering, delayed maturity, reduced height and marginally increased lodging, but no effect on seed yield. Number of capsules per plant was increased, but this was offset by a decrease in number of seeds per capsule.

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.   

Heritabilities and phenotypic correlations of morphological traits of beans

1969 ◽  
Vol 73 (4) ◽  
pp. 349-359
Author(s):  
Manuel Mateo Solano ◽  
James S. Beaver ◽  
Freddy Saladín-García
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Morphological Traits ◽  
Yield Potential ◽  
Narrow Sense ◽  
Node Number ◽  
Phenotypic Correlations ◽  
Biological Yield ◽  
Number Of Branches

Indeterminate bean (Phaseolus vulgaris L.) lines derived from crosses between small-seeded indeterminate and large-seeded determinate genotypes were used for estimating the heritabilities and phenotypic correlations for seed yield and morphological traits. The F2 generation of six bean populations was planted at the Fortuna Substation, Juana Díaz, Puerto Rico in October 1984. Seed yield per plant, number of branches per plant, plant height, node number per plant, biological yield, and apparent harvest index were measured for 50 indeterminate plants selected at random from each population. Fifty plant rows of each population were planted in February 1985 at the Fortuna Substation, and in March 1985 on a small farm in the Constanza valley of the Dominican Republic. Narrow sense heritabilities were estimated with parent-offspring regressions of the F2 and F3 generations, and phenotypic correlations were estimated with means of the F3 lines. The indeterminate F3 lines had greater plant height and fewer nodes than their indeterminate parents. Biological yields, harvest indexes and number of branches of the F3 plants were generally equal to or less than those of their indeterminate parents. Greater branch and node number and greater plant height, biological yield, and harvest index were associated with greater seed yield. Narrow sense heritabilities (NSH) of morphological traits were generally low to intermediate. Since NSH of the morphological traits were no greater than NSH of seed yield, replicated advanced generation yield trials still appear to be the most effective approach for identifying large-seeded indeterminate bean lines with greater seed yield potential.

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 Correlation and Path Analysis in Linseed (Linum usitatissimum L.) Over Locations in Mid-hills of North-Western Himalayas

2021 ◽  
Author(s):  
Garima Thakur ◽  
Satish Paul ◽  
Uttam Chandel ◽  
Ronika Thakur
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Agricultural Research ◽  
Positive Correlation ◽  
Linum Usitatissimum L ◽  
Important Trait

Background: Seed yield is a very important trait for selection but shows low heritability and hence is difficult to improve. Since the productivity of linseed (Linum usitatissimum L.) in India as well as Himachal Pradesh is low in comparison to other major linseed growing countries and states, improvement in cultivars for grain yield is a must. Therefore, the present study was aimed for studying the character associations in linseed genotypes for seed yield over locations. Method: The experiment was conducted during rabi 2019-2020. The experimental material for the present investigation comprised of 52 linseed genotypes grown over three locations in Himachal Pradesh i.e. Linseed Experimental Farm, CSK HPKV, Palampur (1290 m amsl), Shivalik Agricultural Research and Extension Centre, Kangra (700 m amsl) and Hill Agricultural Research and Extension Centre, Dhaulakuan (468 m amsl). Randomized block design with three replications was used. Phenotypic and genotypic correlation coefficients were worked out as per the procedure outlined by Burton and De Vane (1953) and Johnson et al. (1955). Direct and indirect effects of component traits on grain yield were worked out using correlation coefficient of various traits as suggested by Wright (1921) and elaborated by Dewey and Lu (1959). Result: Correlation studies indicated highly significant positive correlation for seed yield with 1000 seed weight (0.965**) followed by harvest index (0.801**), secondary branches (0.585**) and a significant correlation with biological yield (0.269**). Seed yield exhibited a non-significant positive correlation with seeds per capsule. However, a negative significant correlation was observed for seed yield with days to 50 per cent flowering and number of primary branches. The path coefficient analysis indicated that 1000 seed weight exhibited maximum positive direct effect with seed yield (0.741) while others had a low direct effect. The significant positive correlation of number of secondary branches and harvest index with seed yield was mainly due to indirect effect via 1000 seed weight indicating that 1000 seed weight is the most important trait for the improvement of grain yield in linseed as per the present study.

scholarly journals Assessment of genetic variability and character association for grain yield and its component traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (2) ◽  
pp. 797-804
Author(s):  
Satnam Singh Nagar ◽  
Pradeep Kumar ◽  
S.R. Vishwakarma ◽  
Gyanendra Singh ◽  
B. S. Tyagi
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Spike Length ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted for estimating genetic variability and characters association for eleven yield components using 169 genotypes (13 parents, 78 F1 and 78 F2) of bread wheat through half-diallel mating design during rabi season 2012-13 and 2013-14. The genetic variability, heritability in broad sense, genetic advance, correlation coefficients and path analysis were carried out for the assessment of genotypes through eleven yield component traits namely; days to 50% flowering, days to maturity, plant height, spike length, number of effective tillers per plant, number of grains per spikelet, number of grains per spike, 1000-grain weight, biological yield per plant, harvest index and grain yield per plant. Analysis of variance showed significant differences (at1% level of significance) for all the traits under study in both the generations (F1 and F2). The phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height followed by number of effective tillers per plant, biological yield per plant, grain yield per plant, while high heritability coupled with high genetic advance were recorded for plant height and spike length in both F1 and F2 generations, respectively. Grain yield per plant was positively and significantly associated with a number of effective tillers per plant, spike length, number of grains per spike, 1000-grain weight, biological yield per plant and harvest index while significantly but negatively associated with plant height. Path analysis revealed that the traits namely biological yield per plant, number of effective tillers per plant, number of grains per spike, plant height and harvest index exhibited positive direct effects on grain yield at both phenotypic and genotypic level in both generation (F1 and F2). These results, thereby suggests that yield improvement in breads wheats could be possible by emphasizing these traits while making selections in early generations.

scholarly journals Genetic Variability Studies for Yield and Yield Related Attributes in Rice (Oryza sativa L.) Genotypes

2021 ◽  
pp. 113-123
Author(s):  
Babburi Dinesh ◽  
Gaibriyal M. Lal ◽  
L. Bhanuprasad
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Flag Leaf ◽  
Leaf Width ◽  
Path Coefficient ◽  
Flag Leaf Width ◽  
Biological Yield

A set of twenty four rice genotypes including one check variety were grown to estimate study genetic variability, heritability, genetic advance, correlation and path coefficient for 13 quantitative characters, observation recorded to study the genetic variability parameters, correlation coefficient and path coefficient for yield and its attributing traits. High to moderate estimates of GCV and PCV were recorded for test weight followed by spikelets per panicle, grain yield per plant, flag leaf width, flag leaf length, tillers per hill, biological yield and panicles per hill. Grain yield indicated significant positive correlation with plant height followed by tillers per hill, panicles per hill, biological yield and harvest index in terms of phenotypic correlation coefficient whereas in terms of genotypic coefficient it showed positive and significant correlation with plant height, tillers per hill, panicles per hill, biological yield and harvest index. Path coefficient analysis showed positive significant direct effects on grain yield per hill were exhibited by plant height, tillers per hill and harvest index at genotypic level whereas it showed positive and significant direct effect for tillers per hill, flag leaf width, biological yield and harvest index at phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.

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