Characterization and evaluation of field pea genotypes for yield and quality attributing traits
| dc.contributor.advisor | Dubey, R.K. | |
| dc.contributor.author | Shukla, Abhishek Kumar | |
| dc.date.accessioned | 2016-06-24T14:37:25Z | |
| dc.date.available | 2016-06-24T14:37:25Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | The estimates of mean sum of square due to genotypes were highly significant for all the charactersindicating the presence of genetic diversity in the existing material.The mean performance of the genotypes revealed a wide range of variability for all the traits. The variation was highest for plant height followed by pod bearing length seed yield per plant biological yield per plant, harvest index, number of effective pod per plant and 100 seed weight.The PCV was higher than the GCV for all the characters. High phenotypic and genotypic coefficient of variation was observed for pod bearing length followed by plant height, no of secondary branches per plant, seed yield per plant, biological yield per plant and no of primary branches per plant. Number of node per plant, pod length, no. of effective pod per plant ,no. of effective node per plant, 100-seed weight and harvest index indicating greater diversity for these traits and their further improvement through selection. Very high estimates of heritability were obtained for all the traits like100-seed weight, plant height, pod bearing length, seed yield per plant, days to maturity, days to 50% flowering, biological yield per plant, harvest index, number of effective pods per plant, pod length, number of primary branches per plant, number of secondary branches per plant, number of nodes per plant, number of effective nodes per plant and number of seeds per podIndicated that the high values of broad sense heritability for these characters expressed that they were least influenced by environmental modification. It reflected that the selection based on phenotypic performance would be effective. Genetic advance as percentage of mean ranged between 12.52% for days to maturity to 79.76% for number of effective pods per plant. The highest estimate of genetic advance as percentage of mean was recorded for number of effective pods per plant, followed by seed yieldper plant, plant height, biological yield per plant and harvest index. High heritability coupled with high genetic advance as percentage of mean for traits like pod bearing length followed by Plant height, Number of secondary branches per plant, Seed yield per plant,Biological yield per plant and Number of primary branches. Suggested that the preponderance of additive genes. It also indicated higher response for selection of high yielding genotypes as these characters are governed by additive gene actions. High heritability supplemented with moderate genetic advances as percentage of mean were manifested by Pod length followed by Harvest index, Number of effective pods per plant, Number of nodes per plant, Number of effective nodes per plant and 100-seed weight which might be attributed to additive gene action conditioning their expression and phenotypic selection for their amenability can be brought about. High heritability supplemented with low genetic advances as percentage of mean was manifested by Number of seed per pod, Days to 50% flowering, Days to maturity.This revealed the predominance of non-additive gene action in the expression of these characters. Correlation coefficient of seed yield per plant was recorded highly significant and positive with biological yield per plant, number of effective pods per plant, number of seed per plant, harvest index, hundred seed weight, number of node per plant, number of effective node per plant, and days to maturitywhich indicated that effective improvement in field pea yield through these components could be achieved .The yield attributing characters exhibited varying trend amongst them. Path coefficient analysis of different characters contributing towards seed yield per plant showed that biological yield per plant had highest positive direct effect followed by harvest index. This indicates true relationships with seed yield per plant and direct selection for this trait would result in higher breeding efficiency for improving yield. Thus, this trait might be reckoned as the most important component trait for seed yield per plant.Whereas, 100 seed weight highest negative direct effect on seed yield per plant followed byPod bearing length, Number of seed per pod, Number of effective pod per plant and Number of effective node per plant. Principal component analysis revealed that Out of fifteen, only eight principal components (PCs) exhibited more than 0.5 eigen values and showed about 92.12% total variability among the characters were studied (here only 4 PC is considered having most variability in the proposed characters/traits) (Table 4.8). So, these eight PCs were given due importance for further explanation. The PC1 showed 29.784% while, PC2, PC3, PC4, PC5, PC6, PC7 and PC8 exhibited 23.03%, 10.07%, 8.36%, 6.600%, 5.427%, 4.926%, 3.919% variability respectively among the genotypes for the traits under study. From this study it was clear that the PC1 which accounted for the highest variability (29.784%). PC1, PC2 and PC4 accounts for yield related traits while PC3 accounts for physiological component. The PC1 was dominated by yield traits i.e. number of nodes / plant, number of effective pods / plant, number of seeds / pod, 100- seed weight (g) biological yield / plant (g), seed yield / plant (g) and harvest index (%). PC2 was also dominated by yield related traits i.e. number of primary branches / plant, plant height (cm), number of effective nodes / plant and pod bearing length (cm). PC3 accounts mostly physiological traits like days to 50% flowering, days to maturity and number of secondary branches / plant. PC4 accounts yield rerated traits like pod length (cm). On the basis of result obtained after detailed statistical procedure especially PCA, genotypes recorded highest PC scores will be used in future for the improvement of concern traits in field pea breeding programme. Genotype FP 13-81 and FP 13-18 showed their presence in different PC components will be utilized to transfer of cluster of traits in single hybridization and also may be directly utilized after multi locational testing. Quality analysis revealed that total sugar content ranged from 6.25% (FP 13-81) to 8.01 % (FP 13-105) with an overall mean of 7.17%.Total Carbohydrate content ranged from 56.25% (FP 13-56) to 66.39% (FP 13-52) with an overall mean of 62.32 %.Total Protein content ranged from 16.20% (FP 13-56) to 24.52% (FP 13-64) with an overall mean of 20.81%.The genotype found promising for quality traits like protein, sugar and carbohydrate contents will be used in breeding programme to improve the varieties and the development of new varieties with high quality. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/67968 | |
| dc.language.iso | en | en_US |
| dc.publisher | JNKVV | en_US |
| dc.sub | Plant Breeding and Genetics | |
| dc.subject | fruits, genes, planting, regeneration, genetic processes, biological phenomena, viruses, recombination, genetic structures, genomes | en_US |
| dc.these.type | M.Sc | |
| dc.title | Characterization and evaluation of field pea genotypes for yield and quality attributing traits | en_US |
| dc.type | Thesis | en_US |