Correlation between the Linear Type Traits and Milk Yields and its Composition in Dairy Cattle Article Swipe
Anupam Soni
,
Sharad Mishra
,
AK Santra
,
Nishma Singh
,
Rupal Pathak
,
M.D. Bobade
,
Ashutosh Dubey
,
Neetu Sonkar
,
Sudheer Bhagat
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.20546/ijcmas.2020.904.022
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.20546/ijcmas.2020.904.022
The dairy enterprise is very crucial for developing countries to generate the income of poor people of rural areas. In present investigation, the milk yields were correlated with different type traits in early, mid lactation and overall. They showed that the negative or positive association with milk yields and composition n at early and mid lactation. In early lactation stage, the type traits such as chest width, rump width, udder depth, rear leg set rear view, rear udder height, fore udder attachment and front teat position were positively associated with milk production (yields). On other hand, stature, chest width, udder depth, udder cleft and rear udder heights were positively correlated with milk yields in mid lactation. Overall milk production, the positive association between type traits such as stature (r = 0.369), chest width (r = 0.338), rump angle (r =0.333), rear leg set rear view (r = 0.158), rear udder height (r = 0.069) and fore udder attachment (r = 0.207) with milk yields. Beside this, stature only traits which were positively and significantly correlated with milk yields.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.20546/ijcmas.2020.904.022
- https://www.ijcmas.com/9-4-2020/Anupam Soni, et al.pdf
- OA Status
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- Cited By
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- References
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3025770791Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20546/ijcmas.2020.904.022Digital Object Identifier
- Title
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Correlation between the Linear Type Traits and Milk Yields and its Composition in Dairy CattleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-04-10Full publication date if available
- Authors
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Anupam Soni, Sharad Mishra, AK Santra, Nishma Singh, Rupal Pathak, M.D. Bobade, Ashutosh Dubey, Neetu Sonkar, Sudheer BhagatList of authors in order
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https://doi.org/10.20546/ijcmas.2020.904.022Publisher landing page
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https://www.ijcmas.com/9-4-2020/Anupam Soni, et al.pdfDirect 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://www.ijcmas.com/9-4-2020/Anupam Soni, et al.pdfDirect OA link when available
- Concepts
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Udder, Rump, Lactation, Animal science, Biology, Milk production, Pregnancy, Mastitis, Genetics, MicrobiologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.this, | 165 |
| abstract_inverted_index.udder | 69, 77, 80, 99, 101, 105, 149, 156 |
| abstract_inverted_index.view, | 75 |
| abstract_inverted_index.which | 169 |
| abstract_inverted_index.width | 132 |
| abstract_inverted_index.0.069) | 153 |
| abstract_inverted_index.0.207) | 160 |
| abstract_inverted_index.Beside | 164 |
| abstract_inverted_index.areas. | 18 |
| abstract_inverted_index.depth, | 70, 100 |
| abstract_inverted_index.early, | 32 |
| abstract_inverted_index.height | 150 |
| abstract_inverted_index.income | 12 |
| abstract_inverted_index.people | 15 |
| abstract_inverted_index.showed | 38 |
| abstract_inverted_index.stage, | 59 |
| abstract_inverted_index.traits | 30, 62, 124, 168 |
| abstract_inverted_index.width, | 66, 68, 98 |
| abstract_inverted_index.yields | 24, 47, 112 |
| abstract_inverted_index.0.158), | 147 |
| abstract_inverted_index.0.338), | 135 |
| abstract_inverted_index.0.369), | 130 |
| abstract_inverted_index.Overall | 116 |
| abstract_inverted_index.between | 122 |
| abstract_inverted_index.crucial | 5 |
| abstract_inverted_index.height, | 78 |
| abstract_inverted_index.heights | 106 |
| abstract_inverted_index.present | 20 |
| abstract_inverted_index.stature | 127, 166 |
| abstract_inverted_index.yields. | 163, 177 |
| abstract_inverted_index.=0.333), | 139 |
| abstract_inverted_index.generate | 10 |
| abstract_inverted_index.negative | 41 |
| abstract_inverted_index.overall. | 36 |
| abstract_inverted_index.position | 85 |
| abstract_inverted_index.positive | 43, 120 |
| abstract_inverted_index.stature, | 96 |
| abstract_inverted_index.(yields). | 92 |
| abstract_inverted_index.countries | 8 |
| abstract_inverted_index.different | 28 |
| abstract_inverted_index.lactation | 34, 58 |
| abstract_inverted_index.associated | 88 |
| abstract_inverted_index.attachment | 81, 157 |
| abstract_inverted_index.correlated | 26, 109, 174 |
| abstract_inverted_index.developing | 7 |
| abstract_inverted_index.enterprise | 2 |
| abstract_inverted_index.lactation. | 55, 115 |
| abstract_inverted_index.positively | 87, 108, 171 |
| abstract_inverted_index.production | 91 |
| abstract_inverted_index.association | 44, 121 |
| abstract_inverted_index.composition | 49 |
| abstract_inverted_index.production, | 118 |
| abstract_inverted_index.significantly | 173 |
| abstract_inverted_index.investigation, | 21 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.53040602 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |