Genetic variability, correlation and path coefficient analysis for yield and yield components in blackgram (Vigna mungo (L.) Hepper) Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.5958/0975-928x.2019.00206.0
Nature of variation and association of seven yield component traits with yield and among themselves were studied using 112 genotypes of blackgram. Considerable variations among the genotypes were observed for all the characters under study. Heritability estimates were high for all the characters. High heritability with high genetic advance for plant height, primary branches per plant, pods per plant, 100- seed weight and yield per plant indicated additive gene action. Selection in these traits would be effective for improvement of blackgram while days to flowering showed high heritability with low genetic advance indicating nonadditive gene action. Correlation analysis indicated highly significant positive correlation between pods per plant, clusters per plant.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5958/0975-928x.2019.00206.0
- OA Status
- diamond
- Cited By
- 4
- References
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3002295748
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3002295748Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5958/0975-928x.2019.00206.0Digital Object Identifier
- Title
-
Genetic variability, correlation and path coefficient analysis for yield and yield components in blackgram (Vigna mungo (L.) Hepper)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
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2019-01-01Full publication date if available
- Authors
-
S. Senthamizhselvi, M. Anandaraj, N. ShunmugavalliList of authors in order
- Landing page
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https://doi.org/10.5958/0975-928x.2019.00206.0Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5958/0975-928x.2019.00206.0Direct OA link when available
- Concepts
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Heritability, Vigna, Path coefficient, Biology, Path analysis (statistics), Forensic science, Genetic variability, Correlation, Genetic variation, Yield (engineering), Genetic correlation, Veterinary medicine, Genotype, Insomnia, Correlation coefficient, Horticulture, Gene, Genetics, Mathematics, Statistics, Medicine, Materials science, Geometry, Pharmacology, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2022: 1, 2020: 1Per-year citation counts (last 5 years)
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4Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 3, 12, 62 |
| abstract_inverted_index.for | 29, 39, 49, 77 |
| abstract_inverted_index.low | 89 |
| abstract_inverted_index.per | 54, 57, 64, 105, 108 |
| abstract_inverted_index.the | 25, 31, 41 |
| abstract_inverted_index.100- | 59 |
| abstract_inverted_index.High | 43 |
| abstract_inverted_index.days | 82 |
| abstract_inverted_index.gene | 68, 94 |
| abstract_inverted_index.high | 38, 46, 86 |
| abstract_inverted_index.pods | 56, 104 |
| abstract_inverted_index.seed | 60 |
| abstract_inverted_index.were | 15, 27, 37 |
| abstract_inverted_index.with | 10, 45, 88 |
| abstract_inverted_index.among | 13, 24 |
| abstract_inverted_index.plant | 50, 65 |
| abstract_inverted_index.seven | 6 |
| abstract_inverted_index.these | 72 |
| abstract_inverted_index.under | 33 |
| abstract_inverted_index.using | 17 |
| abstract_inverted_index.while | 81 |
| abstract_inverted_index.would | 74 |
| abstract_inverted_index.yield | 7, 11, 63 |
| abstract_inverted_index.Nature | 0 |
| abstract_inverted_index.highly | 99 |
| abstract_inverted_index.plant, | 55, 58, 106 |
| abstract_inverted_index.plant. | 109 |
| abstract_inverted_index.showed | 85 |
| abstract_inverted_index.study. | 34 |
| abstract_inverted_index.traits | 9, 73 |
| abstract_inverted_index.weight | 61 |
| abstract_inverted_index.action. | 69, 95 |
| abstract_inverted_index.advance | 48, 91 |
| abstract_inverted_index.between | 103 |
| abstract_inverted_index.genetic | 47, 90 |
| abstract_inverted_index.height, | 51 |
| abstract_inverted_index.primary | 52 |
| abstract_inverted_index.studied | 16 |
| abstract_inverted_index.additive | 67 |
| abstract_inverted_index.analysis | 97 |
| abstract_inverted_index.branches | 53 |
| abstract_inverted_index.clusters | 107 |
| abstract_inverted_index.observed | 28 |
| abstract_inverted_index.positive | 101 |
| abstract_inverted_index.Selection | 70 |
| abstract_inverted_index.blackgram | 80 |
| abstract_inverted_index.component | 8 |
| abstract_inverted_index.effective | 76 |
| abstract_inverted_index.estimates | 36 |
| abstract_inverted_index.flowering | 84 |
| abstract_inverted_index.genotypes | 19, 26 |
| abstract_inverted_index.indicated | 66, 98 |
| abstract_inverted_index.variation | 2 |
| abstract_inverted_index.blackgram. | 21 |
| abstract_inverted_index.characters | 32 |
| abstract_inverted_index.indicating | 92 |
| abstract_inverted_index.themselves | 14 |
| abstract_inverted_index.variations | 23 |
| abstract_inverted_index.Correlation | 96 |
| abstract_inverted_index.association | 4 |
| abstract_inverted_index.characters. | 42 |
| abstract_inverted_index.correlation | 102 |
| abstract_inverted_index.improvement | 78 |
| abstract_inverted_index.nonadditive | 93 |
| abstract_inverted_index.significant | 100 |
| abstract_inverted_index.Considerable | 22 |
| abstract_inverted_index.Heritability | 35 |
| abstract_inverted_index.heritability | 44, 87 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.80533677 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |