000 | 01207nab a22003017a 4500 | ||
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001 | G69324 | ||
003 | MX-TxCIM | ||
005 | 20230529183251.0 | ||
008 | 121211b |||p||p||||||| |z||| | | ||
022 | _a0006-341X | ||
022 | _a1541-0420 | ||
024 | _2https://doi.org/10.2307/2531243 | ||
040 | _aMX-TxCIM | ||
041 | _aeng | ||
090 | _aREP-215 | ||
100 | 1 |
_aGimelfarb, A. _930882 |
|
245 | 1 | 0 |
_aOffspring-parent genotypic regression : _bhow linear is it? |
260 |
_aUnited Kingdom : _bInternational Biometric Society, _c1986. |
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340 | _aPrinted | ||
520 | _aLinearity of offspring-parent regression is investigated for quantitative characters with dominance. This is done by fitting a second-order regression equation in orthogonal bivariate polynomials to the offspring's genotypic value and evaluating the significance of nonlinear terms in the equation. Three genetic models are considered. | ||
546 | _aText in English | ||
595 | _aRPC | ||
650 | 7 |
_2AGROVOC _922057 _aGenotyping |
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650 | 7 |
_2AGROVOC _94859 _aModels |
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650 | 7 |
_2AGROVOC _91172 _aLoci |
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773 | 0 |
_tBiometrics _gv. 42, p. 67-73,1986 _dUnited Kingdom : International Biometric Society, 1986 _x0006-341X |
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942 |
_cJA _2ddc |
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999 |
_c19949 _d19949 |