| 000 | 01269 a2200421 4500 | ||
|---|---|---|---|
| 005 | 20250518043124.0 | ||
| 264 | 0 | _c20200127 | |
| 008 | 202001s 0 0 eng d | ||
| 022 | _a1879-3231 | ||
| 024 | 7 |
_a10.1016/j.theriogenology.2019.05.024 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aKuhlgatz, D A | |
| 245 | 0 | 0 |
_aDevelopment of predictive models for boar semen quality. _h[electronic resource] |
| 260 |
_bTheriogenology _cAug 2019 |
||
| 300 |
_a129-140 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAge Factors |
| 650 | 0 | 4 | _aAnimals |
| 650 | 0 | 4 | _aEnvironment |
| 650 | 0 | 4 |
_aInsemination, Artificial _xveterinary |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aModels, Theoretical |
| 650 | 0 | 4 | _aRegression Analysis |
| 650 | 0 | 4 | _aSeasons |
| 650 | 0 | 4 |
_aSemen _xphysiology |
| 650 | 0 | 4 |
_aSemen Analysis _xveterinary |
| 650 | 0 | 4 |
_aSwine _xphysiology |
| 700 | 1 | _aKuhlgatz, C | |
| 700 | 1 | _aAepli, M | |
| 700 | 1 | _aSchumann, B | |
| 700 | 1 | _aGrossfeld, R | |
| 700 | 1 | _aBortfeldt, R | |
| 700 | 1 | _aJakop, U | |
| 700 | 1 | _aJung, M | |
| 700 | 1 | _aSchulze, M | |
| 773 | 0 |
_tTheriogenology _gvol. 134 _gp. 129-140 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.theriogenology.2019.05.024 _zAvailable from publisher's website |
| 999 |
_c29770565 _d29770565 |
||