Feed efficiency negatively associated with reproductive traits in Nellore cattle Article Swipe
César Almeida
,
Bárbara da Conceição Abreu Silva
,
F. de Oliveira Bussiman
,
Rachel Santos Bueno
,
E. C. Mattos
,
Joanir Pereira Eler
,
Miguel Henrique de Almeida Santana
,
José Bento Sterman Ferraz
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4238/gmr19177
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4238/gmr19177
Various studies have been conducted to improve feed efficiency in Nellore beef cattle, as well as to select for more sexually precocious animals.In order to understand how reproduction is affected by selection for feed efficiency, we analyzed a database containing phenotypic information from 194,063 Nellore animals, a pedigree file containing 331,752 animals, and a genotyping file of 7,631 animals.The evaluated traits were probability of pregnancy at 14 months (PP14), stayability (STAY), cumulative annual productivity (COWPROD), residual feed intake (RFI), residual body weight gain (RG), and residual intake and gain (RIG).The (co)variance components were estimated through a multi-trait Bayesian linear-threshold model combination.The heritability estimates were: 0.38 ± 0.03 for PP14, 0.23 ± 0.02 for STAY, 0.14 ± 0.00 for COWPROD, 0.18 ± 0.05 for RFI, 0.21 ± 0.05 for RG and 0.18 ± 0.05 for RIG.Estimates of genetic correlation coefficients C. A. Almeida et al. 2 between feed efficiency and reproduction traits were unfavorable for selection, 0.10 (RFI and PP14), -0.16 (RG and PP14), -0.11 (RIG and PP14), 0.12 (RFI and STAY), -0.21 (RG and STAY), -0.13 (RIG and STAY), and -0.16 (RG and COWPROD), indicating that selection for these feed efficiency traits could reduce the probability of early pregnancy of heifers and decrease the number of cows that remain in the herd for at least six years.Considering the importance of reproduction for beef cattle production and the costs of feeding the cattle, examining their genetic association with better modeling strategies could help breeders and researchers to overcome such unfavorable relationships between feed efficiency and reproduction.
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Metadata
- Type
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- Language
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- Landing Page
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- https://doi.org/10.4238/gmr19177
- OA Status
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- References
- 48
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://doi.org/10.4238/gmr19177Digital Object Identifier
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Feed efficiency negatively associated with reproductive traits in Nellore cattleWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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César Almeida, Bárbara da Conceição Abreu Silva, F. de Oliveira Bussiman, Rachel Santos Bueno, E. C. Mattos, Joanir Pereira Eler, Miguel Henrique de Almeida Santana, José Bento Sterman FerrazList of authors in order
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https://doi.org/10.4238/gmr19177Publisher landing page
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://doi.org/10.4238/gmr19177Direct OA link when available
- Concepts
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Beef cattle, Biology, Animal scienceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 56, 63, 135, 196, 199, 205, 219, 228 |
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| abstract_inverted_index.(RG | 160, 172, 181 |
| abstract_inverted_index.al. | 143 |
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| abstract_inverted_index.the | 194, 203, 210, 217, 226, 230 |
| abstract_inverted_index.(RFI | 156, 168 |
| abstract_inverted_index.(RIG | 164, 176 |
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| abstract_inverted_index.0.02 | 111 |
| abstract_inverted_index.0.03 | 106 |
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| abstract_inverted_index.0.14 | 114 |
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| abstract_inverted_index.0.23 | 109 |
| abstract_inverted_index.0.38 | 104 |
| abstract_inverted_index.RFI, | 123 |
| abstract_inverted_index.beef | 11, 222 |
| abstract_inverted_index.been | 3 |
| abstract_inverted_index.body | 80 |
| abstract_inverted_index.cows | 206 |
| abstract_inverted_index.feed | 7, 33, 76, 146, 189, 251 |
| abstract_inverted_index.file | 48, 55 |
| abstract_inverted_index.from | 42 |
| abstract_inverted_index.gain | 82, 88 |
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| abstract_inverted_index.herd | 211 |
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| abstract_inverted_index.that | 185, 207 |
| abstract_inverted_index.well | 14 |
| abstract_inverted_index.were | 61, 92, 151 |
| abstract_inverted_index.with | 236 |
| abstract_inverted_index.(RG), | 83 |
| abstract_inverted_index.-0.11 | 163 |
| abstract_inverted_index.-0.13 | 175 |
| abstract_inverted_index.-0.16 | 159, 180 |
| abstract_inverted_index.-0.21 | 171 |
| abstract_inverted_index.7,631 | 57 |
| abstract_inverted_index.PP14, | 108 |
| abstract_inverted_index.STAY, | 113 |
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| abstract_inverted_index.could | 192, 240 |
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| abstract_inverted_index.least | 214 |
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| abstract_inverted_index.their | 233 |
| abstract_inverted_index.these | 188 |
| abstract_inverted_index.were: | 103 |
| abstract_inverted_index.(RFI), | 78 |
| abstract_inverted_index.PP14), | 158, 162, 166 |
| abstract_inverted_index.STAY), | 170, 174, 178 |
| abstract_inverted_index.annual | 72 |
| abstract_inverted_index.better | 237 |
| abstract_inverted_index.cattle | 223 |
| abstract_inverted_index.intake | 77, 86 |
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| abstract_inverted_index.reduce | 193 |
| abstract_inverted_index.remain | 208 |
| abstract_inverted_index.select | 17 |
| abstract_inverted_index.traits | 60, 150, 191 |
| abstract_inverted_index.weight | 81 |
| abstract_inverted_index.(PP14), | 68 |
| abstract_inverted_index.(STAY), | 70 |
| abstract_inverted_index.194,063 | 43 |
| abstract_inverted_index.331,752 | 50 |
| abstract_inverted_index.Almeida | 141 |
| abstract_inverted_index.Nellore | 10, 44 |
| abstract_inverted_index.Various | 0 |
| abstract_inverted_index.between | 145, 250 |
| abstract_inverted_index.cattle, | 12, 231 |
| abstract_inverted_index.feeding | 229 |
| abstract_inverted_index.genetic | 136, 234 |
| abstract_inverted_index.heifers | 200 |
| abstract_inverted_index.improve | 6 |
| abstract_inverted_index.studies | 1 |
| abstract_inverted_index.through | 94 |
| abstract_inverted_index.Bayesian | 97 |
| abstract_inverted_index.COWPROD, | 118 |
| abstract_inverted_index.affected | 29 |
| abstract_inverted_index.analyzed | 36 |
| abstract_inverted_index.animals, | 45, 51 |
| abstract_inverted_index.breeders | 242 |
| abstract_inverted_index.database | 38 |
| abstract_inverted_index.decrease | 202 |
| abstract_inverted_index.modeling | 238 |
| abstract_inverted_index.overcome | 246 |
| abstract_inverted_index.pedigree | 47 |
| abstract_inverted_index.residual | 75, 79, 85 |
| abstract_inverted_index.sexually | 20 |
| abstract_inverted_index.(RIG).The | 89 |
| abstract_inverted_index.COWPROD), | 183 |
| abstract_inverted_index.conducted | 4 |
| abstract_inverted_index.estimated | 93 |
| abstract_inverted_index.estimates | 102 |
| abstract_inverted_index.evaluated | 59 |
| abstract_inverted_index.examining | 232 |
| abstract_inverted_index.pregnancy | 64, 198 |
| abstract_inverted_index.selection | 31, 186 |
| abstract_inverted_index.(COWPROD), | 74 |
| abstract_inverted_index.animals.In | 22 |
| abstract_inverted_index.components | 91 |
| abstract_inverted_index.containing | 39, 49 |
| abstract_inverted_index.cumulative | 71 |
| abstract_inverted_index.efficiency | 8, 147, 190, 252 |
| abstract_inverted_index.genotyping | 54 |
| abstract_inverted_index.importance | 218 |
| abstract_inverted_index.indicating | 184 |
| abstract_inverted_index.phenotypic | 40 |
| abstract_inverted_index.precocious | 21 |
| abstract_inverted_index.production | 224 |
| abstract_inverted_index.selection, | 154 |
| abstract_inverted_index.strategies | 239 |
| abstract_inverted_index.understand | 25 |
| abstract_inverted_index.animals.The | 58 |
| abstract_inverted_index.association | 235 |
| abstract_inverted_index.correlation | 137 |
| abstract_inverted_index.efficiency, | 34 |
| abstract_inverted_index.information | 41 |
| abstract_inverted_index.multi-trait | 96 |
| abstract_inverted_index.probability | 62, 195 |
| abstract_inverted_index.researchers | 244 |
| abstract_inverted_index.stayability | 69 |
| abstract_inverted_index.unfavorable | 152, 248 |
| abstract_inverted_index.(co)variance | 90 |
| abstract_inverted_index.coefficients | 138 |
| abstract_inverted_index.heritability | 101 |
| abstract_inverted_index.productivity | 73 |
| abstract_inverted_index.reproduction | 27, 149, 220 |
| abstract_inverted_index.RIG.Estimates | 134 |
| abstract_inverted_index.relationships | 249 |
| abstract_inverted_index.reproduction. | 254 |
| abstract_inverted_index.combination.The | 100 |
| abstract_inverted_index.linear-threshold | 98 |
| abstract_inverted_index.years.Considering | 216 |
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| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.02121105 |
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| citation_normalized_percentile.is_in_top_10_percent | False |