Study the Haematological parameters and Oxidative stress before and after disbudding in Calves Article Swipe
Shiv Swaroop
,
Pramanik PS
,
Singh Kd
,
Subodh Kumar
,
Verma AK
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.36811/jvsr.2021.110018
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.36811/jvsr.2021.110018
The aim of the present investigation was to examine the haematological profile and oxidative stress before and after disbudding in calves. The study was carried out at Livestock Farm Complex, College of Veterinary Science and Animal Husbandry, ANDUAT, Kumarganj, Ayodhya and nearby villages. Twenty four cattle calves were utilized to study haematological parameters that are Haemoglobin (Hb (gm/dl), Neutrophil (%), Basophil (%), PCV (%), Lymphocyte (%), Monocyte (%), TLC (103/ µl), Eosinophil (%), N/L ratio) and oxidative stress before and after disbudding in to four groups viz. control (T0), lignocaine (TL), tremadol (TT) and lignocaine+tremadol (TL-T). After medication calves were disbudded by hot iron method. The blood samples were collected for haematological parameters & for estimation of LPO (lipid peroxides) as per method described by [1] just before (0h) and after disbudding on 6h, 24h and 72h. The results showed that, at 24h, T0 group showed significantly lowest Hb (10.66±0.49%) which was statistically similar to TT and TL-T groups. At 0h, 6h and 72h means of PCV% were significantly different among treatment groups. The lowest lymphocytes (64.00±1.00) was observed in TT group at 6h. The T0 group showed significantly lowest basophil (0.00±0.00) which was statistically similar to TT and TL-T groups but significantly different from TL group at 6h. At the same interval, T0 group showed significantly lowest monocytes (4.66±0.61) which was significantly different with TL, TT and TL-T groups. At 6h, T0 group showed significantly lowest N/ L ratio (0.15±0.01) which was statistically similar to TT and TL-T groups but significantly different from TL group. At 0h, 6h and 24h LPO was significantly different among groups. At 0h, T0 group showed significantly highest (106.59±0.63) which was significantly different from TL, TT and TL-T groups. It may be concluded that no significant difference was observed in eosinophil%, TLC, neutrophil% and monocyte% counts between control and treatment groups. However, Hb%, basophil%, PCV% and lymphocyte% were significantly different between control and treatment groups. N/L ratio was significant only at 6h. Most of the cases TL-T group showed comparatively better performance. At 0h, 6h and 24h LPO was significantly different among groups. At 0h, T0 group showed significantly highest (106.59±0.63) which was significantly different from TL, TT and TL-T groups.
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Concepts
Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.36811/jvsr.2021.110018
- OA Status
- hybrid
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3216864017Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36811/jvsr.2021.110018Digital Object Identifier
- Title
-
Study the Haematological parameters and Oxidative stress before and after disbudding in CalvesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-17Full publication date if available
- Authors
-
Shiv Swaroop, Pramanik PS, Singh Kd, Subodh Kumar, Verma AKList of authors in order
- Landing page
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https://doi.org/10.36811/jvsr.2021.110018Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.36811/jvsr.2021.110018Direct OA link when available
- Concepts
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Oxidative stress, Animal science, Veterinary medicine, Eosinophil, Respiratory burst, Medicine, Internal medicine, Biology, Immunology, AsthmaTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.the | 3, 9, 210, 330 |
| abstract_inverted_index.was | 6, 23, 151, 177, 193, 221, 242, 262, 276, 293, 323, 344, 358 |
| abstract_inverted_index.(%), | 59, 61, 63, 65, 67, 72 |
| abstract_inverted_index.(0h) | 128 |
| abstract_inverted_index.(TT) | 92 |
| abstract_inverted_index.24h, | 142 |
| abstract_inverted_index.72h. | 136 |
| abstract_inverted_index.Farm | 28 |
| abstract_inverted_index.Hb%, | 308 |
| abstract_inverted_index.Most | 328 |
| abstract_inverted_index.PCV% | 166, 310 |
| abstract_inverted_index.TL-T | 157, 199, 228, 248, 283, 332, 365 |
| abstract_inverted_index.TLC, | 297 |
| abstract_inverted_index.four | 44, 84 |
| abstract_inverted_index.from | 204, 253, 279, 361 |
| abstract_inverted_index.iron | 103 |
| abstract_inverted_index.just | 126 |
| abstract_inverted_index.only | 325 |
| abstract_inverted_index.same | 211 |
| abstract_inverted_index.that | 53, 289 |
| abstract_inverted_index.viz. | 86 |
| abstract_inverted_index.were | 47, 99, 108, 167, 313 |
| abstract_inverted_index.with | 224 |
| abstract_inverted_index.& | 113 |
| abstract_inverted_index.(103/ | 69 |
| abstract_inverted_index.(T0), | 88 |
| abstract_inverted_index.(TL), | 90 |
| abstract_inverted_index.After | 96 |
| abstract_inverted_index.after | 17, 80, 130 |
| abstract_inverted_index.among | 170, 265, 347 |
| abstract_inverted_index.blood | 106 |
| abstract_inverted_index.cases | 331 |
| abstract_inverted_index.group | 144, 181, 186, 206, 214, 233, 270, 333, 352 |
| abstract_inverted_index.means | 164 |
| abstract_inverted_index.ratio | 239, 322 |
| abstract_inverted_index.study | 22, 50 |
| abstract_inverted_index.that, | 140 |
| abstract_inverted_index.which | 150, 192, 220, 241, 275, 357 |
| abstract_inverted_index.µl), | 70 |
| abstract_inverted_index.(lipid | 118 |
| abstract_inverted_index.Animal | 35 |
| abstract_inverted_index.Twenty | 43 |
| abstract_inverted_index.before | 15, 78, 127 |
| abstract_inverted_index.better | 336 |
| abstract_inverted_index.calves | 46, 98 |
| abstract_inverted_index.cattle | 45 |
| abstract_inverted_index.counts | 301 |
| abstract_inverted_index.group. | 255 |
| abstract_inverted_index.groups | 85, 200, 249 |
| abstract_inverted_index.lowest | 147, 174, 189, 217, 236 |
| abstract_inverted_index.method | 122 |
| abstract_inverted_index.nearby | 41 |
| abstract_inverted_index.ratio) | 74 |
| abstract_inverted_index.showed | 139, 145, 187, 215, 234, 271, 334, 353 |
| abstract_inverted_index.stress | 14, 77 |
| abstract_inverted_index.(TL-T). | 95 |
| abstract_inverted_index.ANDUAT, | 37 |
| abstract_inverted_index.Ayodhya | 39 |
| abstract_inverted_index.College | 30 |
| abstract_inverted_index.Science | 33 |
| abstract_inverted_index.between | 302, 316 |
| abstract_inverted_index.calves. | 20 |
| abstract_inverted_index.carried | 24 |
| abstract_inverted_index.control | 87, 303, 317 |
| abstract_inverted_index.examine | 8 |
| abstract_inverted_index.groups. | 158, 172, 229, 266, 284, 306, 320, 348, 366 |
| abstract_inverted_index.highest | 273, 355 |
| abstract_inverted_index.method. | 104 |
| abstract_inverted_index.present | 4 |
| abstract_inverted_index.profile | 11 |
| abstract_inverted_index.results | 138 |
| abstract_inverted_index.samples | 107 |
| abstract_inverted_index.similar | 153, 195, 244 |
| abstract_inverted_index.(gm/dl), | 57 |
| abstract_inverted_index.Basophil | 60 |
| abstract_inverted_index.Complex, | 29 |
| abstract_inverted_index.However, | 307 |
| abstract_inverted_index.Monocyte | 66 |
| abstract_inverted_index.basophil | 190 |
| abstract_inverted_index.observed | 178, 294 |
| abstract_inverted_index.tremadol | 91 |
| abstract_inverted_index.utilized | 48 |
| abstract_inverted_index.Livestock | 27 |
| abstract_inverted_index.collected | 109 |
| abstract_inverted_index.concluded | 288 |
| abstract_inverted_index.described | 123 |
| abstract_inverted_index.different | 169, 203, 223, 252, 264, 278, 315, 346, 360 |
| abstract_inverted_index.disbudded | 100 |
| abstract_inverted_index.interval, | 212 |
| abstract_inverted_index.monocyte% | 300 |
| abstract_inverted_index.monocytes | 218 |
| abstract_inverted_index.oxidative | 13, 76 |
| abstract_inverted_index.treatment | 171, 305, 319 |
| abstract_inverted_index.villages. | 42 |
| abstract_inverted_index.Eosinophil | 71 |
| abstract_inverted_index.Husbandry, | 36 |
| abstract_inverted_index.Kumarganj, | 38 |
| abstract_inverted_index.Lymphocyte | 64 |
| abstract_inverted_index.Neutrophil | 58 |
| abstract_inverted_index.Veterinary | 32 |
| abstract_inverted_index.basophil%, | 309 |
| abstract_inverted_index.difference | 292 |
| abstract_inverted_index.disbudding | 18, 81, 131 |
| abstract_inverted_index.estimation | 115 |
| abstract_inverted_index.lignocaine | 89 |
| abstract_inverted_index.medication | 97 |
| abstract_inverted_index.parameters | 52, 112 |
| abstract_inverted_index.peroxides) | 119 |
| abstract_inverted_index.Haemoglobin | 55 |
| abstract_inverted_index.lymphocyte% | 312 |
| abstract_inverted_index.lymphocytes | 175 |
| abstract_inverted_index.neutrophil% | 298 |
| abstract_inverted_index.significant | 291, 324 |
| abstract_inverted_index.(0.00±0.00) | 191 |
| abstract_inverted_index.(0.15±0.01) | 240 |
| abstract_inverted_index.(4.66±0.61) | 219 |
| abstract_inverted_index.eosinophil%, | 296 |
| abstract_inverted_index.performance. | 337 |
| abstract_inverted_index.(64.00±1.00) | 176 |
| abstract_inverted_index.comparatively | 335 |
| abstract_inverted_index.investigation | 5 |
| abstract_inverted_index.significantly | 146, 168, 188, 202, 216, 222, 235, 251, 263, 272, 277, 314, 345, 354, 359 |
| abstract_inverted_index.statistically | 152, 194, 243 |
| abstract_inverted_index.(10.66±0.49%) | 149 |
| abstract_inverted_index.(106.59±0.63) | 274, 356 |
| abstract_inverted_index.haematological | 10, 51, 111 |
| abstract_inverted_index.lignocaine+tremadol | 94 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.2425681 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |