Using Selection Indices to Improve Lactation Curve Parameters in Egypt
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Using Selection Indices to Improve Lactation Curve Parameters in Egypt
DE HC NW
ISBN: 9783659839870 bzw. 3659839876, in Deutsch, Scholar´S Press, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
- The buffalo´s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt; their contribution to the country´s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using - The buffalo´s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt; their contribution to the country´s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. Lieferzeit 1-2 Werktage.
- The buffalo´s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt; their contribution to the country´s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using - The buffalo´s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt; their contribution to the country´s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. Lieferzeit 1-2 Werktage.
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Using Selection Indices to Improve Lactation Curve Parameters in Egypt
DE PB NW
ISBN: 9783659839870 bzw. 3659839876, in Deutsch, Scholar'S Press, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
- The buffalo's number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt their contribution to the country's milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. 2016. 136 S. 220 mm Versandfertig in 3-5 Tagen, Softcover, Neuware.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
- The buffalo's number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt their contribution to the country's milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. 2016. 136 S. 220 mm Versandfertig in 3-5 Tagen, Softcover, Neuware.
3
Using Selection Indices to Improve Lactation Curve Parameters in Egypt (2013)
~EN NW AB
ISBN: 9783659839870 bzw. 3659839876, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
- The buffalo's number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt, their contribution to the country's milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended.
- The buffalo's number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt, their contribution to the country's milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended.
4
Using Selection Indices to Improve Lactation Curve Parameters in Egypt (2013)
~EN PB NW
ISBN: 9783659839870 bzw. 3659839876, vermutlich in Englisch, SPS, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Using Selection Indices to Improve Lactation Curve Parameters in Egypt: - The buffalo`s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt their contribution to the country`s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. Englisch, Taschenbuch.
Using Selection Indices to Improve Lactation Curve Parameters in Egypt: - The buffalo`s number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt their contribution to the country`s milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I 2) with a relative economic value of 1:25 is recommended. Englisch, Taschenbuch.
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Using Selection Indices to Improve Lactation Curve Parameters in Egypt (2016)
DE PB NW RP
ISBN: 9783659839870 bzw. 3659839876, in Deutsch, SPS Jul 2016, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - 136 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - 136 pp. Englisch.
6
Using Selection Indices to Improve Lactation Curve Parameters in Egypt
~EN PB NW
ISBN: 3659839876 bzw. 9783659839870, vermutlich in Englisch, SPS, Taschenbuch, neu.
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