Response of Combined Application of Nutrient Levels with Microbial Strains on Crop Growth, Nodulation and Yield of Soybean Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.9734/ijecc/2023/v13i123754
The study focused to investigate the ‘Response of combined application of nutrient levels with microbial strains on crop growth, nodulation and yield of soybean (Glycine max (L.) Merrill.)’ at All India Coordinated Research Project (AICRP) on Integrated Farming System Research at College of Agriculture, Indore, Madhya Pradesh, India during kharif, 2019-20. The research was conducted in randomized block design (RBD) with 8 treatments, viz. Control with 75% RDF (T1), Control with 100% RDF (T2), 75% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment (T3), 100% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment (T4), 75% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as foliar application at 30 and 45 DAS (T5), 100% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as foliar application at 30 and 45 DAS (T6), 75% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment + foliar application of Bacillus megaterium and Bacillus mucilaginosus strains at 30 and 45 DAS (T7) and 100% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment + foliar application of Bacillus megaterium and Bacillus mucilaginosus strains at 30 and 45 DAS (T8). The seed yield of soybean increased to the tune of 14.26 and 19.72 per cent with application of 100% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment + foliar application of Bacillus megaterium and Bacillus mucilaginosus strains at 30 and 45 DAS compared to control. Among all the treatments, crop growth and yield (1139 kg/ha) were observed highest with 100% RDF with Bacillus megaterium and Bacillus mucilaginosus strains as seed treatment + foliar application of Bacillus megaterium and Bacillus mucilaginosus strains at 30 and 45 DAS.
Related Topics
- Type
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- Language
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- https://journalijecc.com/index.php/IJECC/article/download/3754/7394
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Raw OpenAlex JSON
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https://openalex.org/W4390450802Canonical identifier for this work in OpenAlex
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https://doi.org/10.9734/ijecc/2023/v13i123754Digital Object Identifier
- Title
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Response of Combined Application of Nutrient Levels with Microbial Strains on Crop Growth, Nodulation and Yield of SoybeanWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-23Full publication date if available
- Authors
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Kavita Solanki, S. K. Choudhary, Ankit Singh, Shraddha Maurya, Shwetank Shukla, Sandeep Yadav, Kumar Anshuman, R. D. SinghList of authors in order
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https://doi.org/10.9734/ijecc/2023/v13i123754Publisher landing page
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https://journalijecc.com/index.php/IJECC/article/download/3754/7394Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://journalijecc.com/index.php/IJECC/article/download/3754/7394Direct OA link when available
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Bacillus megaterium, Bacillus (shape), Biology, Crop, Agronomy, Horticulture, Biotechnology, Microbiology, Bacteria, GeneticsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 20, 79, 92, 105, 114, 123, 132, 141, 154, 160, 164, 170, 183, 189, 204, 216, 229, 235, 247, 260, 273, 279 |
| abstract_inverted_index.max | 25 |
| abstract_inverted_index.per | 206 |
| abstract_inverted_index.the | 5, 200, 243 |
| abstract_inverted_index.was | 53 |
| abstract_inverted_index.(L.) | 26 |
| abstract_inverted_index.(T7) | 163 |
| abstract_inverted_index.100% | 71, 87, 118, 165, 211, 255 |
| abstract_inverted_index.DAS. | 281 |
| abstract_inverted_index.cent | 207 |
| abstract_inverted_index.crop | 17, 245 |
| abstract_inverted_index.seed | 84, 97, 146, 175, 194, 221, 265 |
| abstract_inverted_index.tune | 201 |
| abstract_inverted_index.viz. | 63 |
| abstract_inverted_index.were | 251 |
| abstract_inverted_index.with | 13, 60, 65, 70, 76, 89, 102, 120, 138, 167, 208, 213, 254, 257 |
| abstract_inverted_index.(1139 | 249 |
| abstract_inverted_index.(RBD) | 59 |
| abstract_inverted_index.(T1), | 68 |
| abstract_inverted_index.(T2), | 73 |
| abstract_inverted_index.(T3), | 86 |
| abstract_inverted_index.(T4), | 99 |
| abstract_inverted_index.(T5), | 117 |
| abstract_inverted_index.(T6), | 135 |
| abstract_inverted_index.(T8). | 192 |
| abstract_inverted_index.14.26 | 203 |
| abstract_inverted_index.19.72 | 205 |
| abstract_inverted_index.Among | 241 |
| abstract_inverted_index.India | 30, 47 |
| abstract_inverted_index.block | 57 |
| abstract_inverted_index.study | 1 |
| abstract_inverted_index.yield | 21, 195, 248 |
| abstract_inverted_index.Madhya | 45 |
| abstract_inverted_index.System | 38 |
| abstract_inverted_index.design | 58 |
| abstract_inverted_index.during | 48 |
| abstract_inverted_index.foliar | 110, 128, 149, 178, 224, 268 |
| abstract_inverted_index.growth | 246 |
| abstract_inverted_index.kg/ha) | 250 |
| abstract_inverted_index.levels | 12 |
| abstract_inverted_index.(AICRP) | 34 |
| abstract_inverted_index.College | 41 |
| abstract_inverted_index.Control | 64, 69 |
| abstract_inverted_index.Farming | 37 |
| abstract_inverted_index.Indore, | 44 |
| abstract_inverted_index.Project | 33 |
| abstract_inverted_index.focused | 2 |
| abstract_inverted_index.growth, | 18 |
| abstract_inverted_index.highest | 253 |
| abstract_inverted_index.kharif, | 49 |
| abstract_inverted_index.soybean | 23, 197 |
| abstract_inverted_index.strains | 15, 82, 95, 108, 126, 144, 157, 173, 186, 219, 232, 263, 276 |
| abstract_inverted_index.(Glycine | 24 |
| abstract_inverted_index.2019-20. | 50 |
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| abstract_inverted_index.Research | 32, 39 |
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| abstract_inverted_index.compared | 238 |
| abstract_inverted_index.control. | 240 |
| abstract_inverted_index.nutrient | 11 |
| abstract_inverted_index.observed | 252 |
| abstract_inverted_index.research | 52 |
| abstract_inverted_index.conducted | 54 |
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| abstract_inverted_index.microbial | 14 |
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| abstract_inverted_index.Integrated | 36 |
| abstract_inverted_index.megaterium | 78, 91, 104, 122, 140, 153, 169, 182, 215, 228, 259, 272 |
| abstract_inverted_index.nodulation | 19 |
| abstract_inverted_index.randomized | 56 |
| abstract_inverted_index.Coordinated | 31 |
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| abstract_inverted_index.treatments, | 62, 244 |
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| abstract_inverted_index.Agriculture, | 43 |
| abstract_inverted_index.Merrill.)’ | 27 |
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| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.79983766 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |