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Comparison of the Optimum Lactation Curve Models in Holstein Population of Japan OAK
山口, 諭; 河原, 孝吉; 後藤, 裕作; 増田, 豊; 鈴木, 三義.
本分析では,乳量,乳脂量,無脂固形分量,乳タンパク質量,乳脂率,無脂固形分率,乳タンパク質率および体細胞数スコア(SCS)の8形質に対し,泌乳曲線モデルの適合性を検討した.データは,2000年から2004年に社団法人北海道酪農検定検査協会に集積されたホルスタイン346,221頭の初産から11産までの検定日記録5,645,976が使用された.適合性を検討した23種類のモデルとは,1次から5次のルシャンドル多項式モデル(L1,L2,L3,L4およびL5),ルシャンドル多項式にWilminkの指数関数を加えたモデル(L1W,L2W,L3W,L4WおよびL5W),さらに,対数関数と周期関数を組み合わせた3次から5次の13種のモデルである.泌乳曲線モデルの適合性の検討には,赤池の情報量規準(AIC),ベイズ流情報量規準(BIC),決定係数および平均誤差の中で,パラメータ数のみならず観測値数も考慮してモデルの適合性を判断できるBICを主に使用した.乳量,乳脂量,無脂固形分量および乳成分率における泌乳曲線は,L4,L3W,L4WおよびL5Wのモデルが高い適合性を示した.乳タンパク質量およびSCSに関して適合性が高い泌乳曲線は,対数関数および周期関数の組み込まれたモデルであった.本研究で選択された泌乳曲線を用いることにより,標準泌乳曲線として飼養管理の有益な指標として活用できる.
Palavras-chave: Holsteins; Lactation curve; Legendre polynomial; Logarithm; Wilminks exponential.
Ano: 2007 URL: http://ir.obihiro.ac.jp/dspace/handle/10322/2596
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Estimation of genetic parameters for test-day milk yield in Khuzestan buffalo PAB
Madad,Mostafa; Hossein-Zadeh,Navid Ghavi; Shadparvar,Abdol Ahad.
Abstract: The objective of this work was to estimate covariance functions for additive genetic and permanent environmental effects, as well as to obtain genetic parameters for buffalo test-day milk yield using random regression models on Legendre polynomials (LPs). A total of 2,538 test-day milk yield (TDMY) records from 516 first lactation records of Khuzestan buffalo, calving from 1993 to 2009 and belonging to 150 herds located in the state of Khuzestan, Iran, were analyzed. The residual variances were modeled through a step function with 1, 5, 6, 9, and 19 classes. The additive genetic and permanent environmental random effects were modeled by LPs of days in milk using quadratic to septic polynomial functions. The model with additive genetic and animal...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Covariance functions; Genetic correlations; Heritability; Legendre polynomial; Milking buffalo..
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000700890
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Persistency of lactation using random regression models and different fixed regression modeling approaches R. Bras. Zootec.
Cobuci,Jaime Araujo; Costa,Claudio Napolis.
Milk yield test-day records on the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters and predict breeding values for nine measures of persistency and 305-d milk yield in a random regression animal model using two criteria to define the fixed regression. Legendre polynomials of fourth and fifth orders were used to model the fixed and random regressions of lactation curves. The fixed regressions were adjusted for average milk yield on populations (single) or subpopulations (multiple) formed by cows that calved at the same age and in the same season. Akaike Information (AIC) and Bayesian Information (BIC) criteria indicated that models with multiple regression lactation curves had the best fit to test-day milk records of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Breeding value; Legendre polynomial; Selection; Test-day milk yield.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000900005
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Estimates of covariance functions for growth of Anglo-Nubian goats R. Bras. Zootec.
Sousa,José Ernandes Rufino de; Silva,Martinho de Almeida e; Sarmento,José Lindenberg Rocha; Sousa,Wandrick Hauss de; Souza,Maria do Socorro Medeiros de; Ferreira,Isabel Cristina.
It was used 4,313 weight records from birth to 196 days of age from 946 Anglo-nubiana breed goats, progenies from 43 sires and 279 dams, controlled in the period from 1980 to 2005, with the objective of estimating covariance functions and genetic parameters of animals by using random regression models. It was evaluated 12 random regression models, with degrees ranging from 1 to 7 for direct additive genetic and maternal and animal permanent environment effect and residual variance adjusted by using animal age ordinary polynomial of third order. Models were compared by using likelihood ratio test and by Bayesian information criterion of Schwarz and Akaike information criterion. The model selected based on Bayesian information criterion was the one that...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Covariance function; Genetic parameter; Goat; Legendre polynomial.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000100015
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Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling R. Bras. Zootec.
Cobuci,Jaime Araújo; Costa,Claudio Napolis; Braccini Neto,José; Freitas,Ary Ferreira de.
Records of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Test-day milk yield; Genetic correlation; Heritability; Legendre polynomial; Selection.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000300013
Registros recuperados: 5
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