India Semi-Arid Settings Examine the Relationship between Planting Dates, Irrigation, and Nitrogen Stress on the Grain Quality of Different Maize Cultivars Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.56294/saludcyt20251593
Introduction: Maize production in India's semi-arid regions is heavily reliant on environmental factors and agricultural practices. The planting dates of August 19 and September 20, irrigation levels, and nitrogen availability all have a substantial impact on grain output and quality. The research investigates how these factors interact to influence various maize cultivars. Understanding these associations can aid in optimizing management tactics for increased maize output. Methods:A field experiment examined the effects of nitrogen treatment, irrigation frequency, and planting dates on maize quality. Principal Component Analysis (PCA) found important causes of variability in carbohydrate, protein, and oil contents. Over the course of two years, data were obtained from India's maize yield dataset. Result: The first two main components explained 82% of the overall variance. In high-nitrogen crops, protein levels increased by 5.5 g kg⁻¹ in the first year and 9.8 g kg⁻¹ in the second year. Total redundant amino acids also increased by 3.1 g kg⁻¹ in 2020-2021. Moderate irrigation increased oil, triglycerides, and saturated fatty acids, but starch and amyl pectin had negligible modifications. At moderate irrigation, nitrogen had no effect. Total saturated fatty acids rose as planting dates shifted earlier. Conclusion:Nitrogen levels, irrigation, and planting dates all had a substantial impact on Maize composition. Despite the managed water supply, seasonal volatility remained critical. These findings can help optimize maize production practices to improve grain quality under various environmental circumstances.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.56294/saludcyt20251593
- https://sct.ageditor.ar/index.php/sct/article/download/1593/2716
- OA Status
- diamond
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413612358
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4413612358Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.56294/saludcyt20251593Digital Object Identifier
- Title
-
India Semi-Arid Settings Examine the Relationship between Planting Dates, Irrigation, and Nitrogen Stress on the Grain Quality of Different Maize CultivarsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-24Full publication date if available
- Authors
-
A. Kataria, Devanshu J. Patel, K Navya, Satya Narayan Satapathy, Shakti Om Pathak, Gunveen AhluwaliaList of authors in order
- Landing page
-
https://doi.org/10.56294/saludcyt20251593Publisher landing page
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-
https://sct.ageditor.ar/index.php/sct/article/download/1593/2716Direct 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://sct.ageditor.ar/index.php/sct/article/download/1593/2716Direct OA link when available
- Concepts
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Cultivar, Irrigation, Sowing, Arid, Agronomy, Nitrogen, Grain quality, Quality (philosophy), Geography, Environmental science, Biology, Agroforestry, Ecology, Chemistry, Philosophy, Organic chemistry, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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15Number 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.improve | 223 |
| abstract_inverted_index.kg⁻¹ | 132, 140, 154 |
| abstract_inverted_index.levels, | 26, 192 |
| abstract_inverted_index.managed | 207 |
| abstract_inverted_index.output. | 64 |
| abstract_inverted_index.overall | 121 |
| abstract_inverted_index.protein | 126 |
| abstract_inverted_index.quality | 225 |
| abstract_inverted_index.regions | 6 |
| abstract_inverted_index.reliant | 9 |
| abstract_inverted_index.shifted | 189 |
| abstract_inverted_index.supply, | 209 |
| abstract_inverted_index.tactics | 60 |
| abstract_inverted_index.various | 49, 227 |
| abstract_inverted_index.Analysis | 84 |
| abstract_inverted_index.Moderate | 157 |
| abstract_inverted_index.dataset. | 110 |
| abstract_inverted_index.earlier. | 190 |
| abstract_inverted_index.examined | 68 |
| abstract_inverted_index.findings | 215 |
| abstract_inverted_index.interact | 46 |
| abstract_inverted_index.moderate | 175 |
| abstract_inverted_index.nitrogen | 28, 72, 177 |
| abstract_inverted_index.obtained | 105 |
| abstract_inverted_index.optimize | 218 |
| abstract_inverted_index.planting | 17, 77, 187, 195 |
| abstract_inverted_index.protein, | 93 |
| abstract_inverted_index.quality. | 39, 81 |
| abstract_inverted_index.remained | 212 |
| abstract_inverted_index.research | 41 |
| abstract_inverted_index.seasonal | 210 |
| abstract_inverted_index.Component | 83 |
| abstract_inverted_index.Methods:A | 65 |
| abstract_inverted_index.Principal | 82 |
| abstract_inverted_index.September | 23 |
| abstract_inverted_index.contents. | 96 |
| abstract_inverted_index.critical. | 213 |
| abstract_inverted_index.explained | 117 |
| abstract_inverted_index.important | 87 |
| abstract_inverted_index.increased | 62, 128, 150, 159 |
| abstract_inverted_index.influence | 48 |
| abstract_inverted_index.practices | 221 |
| abstract_inverted_index.redundant | 146 |
| abstract_inverted_index.saturated | 163, 182 |
| abstract_inverted_index.semi-arid | 5 |
| abstract_inverted_index.variance. | 122 |
| abstract_inverted_index.2020-2021. | 156 |
| abstract_inverted_index.components | 116 |
| abstract_inverted_index.cultivars. | 51 |
| abstract_inverted_index.experiment | 67 |
| abstract_inverted_index.frequency, | 75 |
| abstract_inverted_index.irrigation | 25, 74, 158 |
| abstract_inverted_index.management | 59 |
| abstract_inverted_index.negligible | 172 |
| abstract_inverted_index.optimizing | 58 |
| abstract_inverted_index.practices. | 15 |
| abstract_inverted_index.production | 2, 220 |
| abstract_inverted_index.treatment, | 73 |
| abstract_inverted_index.volatility | 211 |
| abstract_inverted_index.irrigation, | 176, 193 |
| abstract_inverted_index.substantial | 33, 200 |
| abstract_inverted_index.variability | 90 |
| abstract_inverted_index.agricultural | 14 |
| abstract_inverted_index.associations | 54 |
| abstract_inverted_index.availability | 29 |
| abstract_inverted_index.composition. | 204 |
| abstract_inverted_index.investigates | 42 |
| abstract_inverted_index.Introduction: | 0 |
| abstract_inverted_index.Understanding | 52 |
| abstract_inverted_index.carbohydrate, | 92 |
| abstract_inverted_index.environmental | 11, 228 |
| abstract_inverted_index.high-nitrogen | 124 |
| abstract_inverted_index.circumstances. | 229 |
| abstract_inverted_index.modifications. | 173 |
| abstract_inverted_index.triglycerides, | 161 |
| abstract_inverted_index.Conclusion:Nitrogen | 191 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.4690519 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |