Titulo:
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo
.
Sumario:
Se utilizó el método de comparación contemporáneo (CC) de la relación de medio hermanos para estimar los valores genéticos de los toros Holstein-Friesian para 305días de producción de leche (305-DMY) y componentes básicos de las características de la leche, 409 registros de vacas. que son hijas de diez toros en ocho granjas lecheras sirias donde se utilizaron. El resultado del estudio mostró diferencias en los valores genéticos estimados (ccEBVs), donde el E Sire alcanzó el valor más alto del rasgo 305-DMY (254,47 kg), mientras que el B Sire alcanzó el mayor valor de porcentaje de proteína de la leche (MPP), leche rasgos de porcentaje de grasa (MFP) y porcentaje de lactosa de la leche (MLP) (0.822%, 0.857% y 1.09% respectivamente). De acuer... Ver más
Guardado en:
2027-4297
13
2020-11-11
e747
e747
Revista Colombiana de Ciencia Animal - RECIA - 2021
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
| id |
metarevistapublica_unisucre_revistacolombianadecienciaanimal_recia_86_article_747 |
|---|---|
| record_format |
ojs |
| spelling |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo The Progeny test of Friesian sires for milk traits by using the contemporary comparison method Se utilizó el método de comparación contemporáneo (CC) de la relación de medio hermanos para estimar los valores genéticos de los toros Holstein-Friesian para 305días de producción de leche (305-DMY) y componentes básicos de las características de la leche, 409 registros de vacas. que son hijas de diez toros en ocho granjas lecheras sirias donde se utilizaron. El resultado del estudio mostró diferencias en los valores genéticos estimados (ccEBVs), donde el E Sire alcanzó el valor más alto del rasgo 305-DMY (254,47 kg), mientras que el B Sire alcanzó el mayor valor de porcentaje de proteína de la leche (MPP), leche rasgos de porcentaje de grasa (MFP) y porcentaje de lactosa de la leche (MLP) (0.822%, 0.857% y 1.09% respectivamente). De acuerdo con sus toros, las hijas de E Sire superaron a sus contrapartes en los rasgos 305-DMY (p=0.001), MPP (p=0.001) y MFP (p=0.04) (5701.44 kg, 3.55% y 3.88% respectivamente). Según la fuente de la finca, las hijas de la Finca 5 alcanzaron el valor más alto del rasgo 305-DMY (p= 0.04) y las hijas de la séptima finca lograron el valor más alto del rasgo MPP (p=0.007), los valores fueron 5403.48kg y 3.54% respectivamente. Los valores de heredabilidad (h2) para los rasgos de 305-DMY, MPP, MFP y MLP fueron 0.33, 0.54, 0.43 y 0.47 respectivamente. La mayoría de los coeficientes de correlación genéticos y fenotípicos se acercaban a cero, excepto la relación genética entre MLP y MPP y la relación fenotípica entre MFP y MPP (0,88 y 0,84 respectivamente).   In this study, the contemporary comparison method (CC) of half-sibs relation was used to estimate the breeding values of Holstein-Friesian sires for 305 -day milk yield (305-DMY) and basic components of milk traits, 409 records of cows that are daughters of ten sires in eight Syrian dairy farms where used. Result of the study showed differences in the estimated breeding values(ccEBVs), where the E Sire achieved the highest value of 305-DMY trait (254.47 kg), while the B Sire achieved the highest value of milk protein percentage (MPP), milk fat percentage (MFP)and milk lactose percentage (MLP) traits (0.822 %, 0.857 %and 1.09% respectively). According to their sires, daughters of E Sire outperformed the counterparts in the 305-DMY (p = 0.001), MPP (p = 0.001) and MFP (p = 0.04) traits (5701.44 kg, 3.55%, and 3.88% respectively). According to source of farm, daughters in Farm 5 achieved the highest value of 305-DMY trait (p=0.04) and daughters in the seventh farm achieved the highest value of MPP trait (p=0.007), the values were 5403.48 kg and 3.54 % respectively. Values of heritability (h2) for the traits of 305-DMY, MPP, MFP and MLP were 0.33,0.54,0.43 and 0.47 respectively. Most of genetic and phenotypic correlations coefficients were approaching to zero except the genetic relation between MLP and MPP and phenotypic relation between MFP and MPP (0.88 and 0.84 respectively).   Mardenli, Omar R Progeny test breeding values 305-day milk yield milk components Prueba de progenie valores genéticos producción de leche de 305 días componentes de la leche 13 1 Núm. 1 , Año 2021 : RECIA 13(1):ENERO-JUNIO 2021 Artículo de revista Journal article 2020-11-11T00:00:00Z 2020-11-11T00:00:00Z 2020-11-11 application/pdf Universidad de Sucre Revista Colombiana de Ciencia Animal - RECIA 2027-4297 https://revistas.unisucre.edu.co/index.php/recia/article/view/e747 10.24188/recia.v13.n1.2021.747 https://doi.org/10.24188/recia.v13.n1.2021.747 eng https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Colombiana de Ciencia Animal - RECIA - 2021 e747 e747 Renand G. Genetic parameters of French beef breeds used in crossbreeding for young bull production. II - Slaughter performance, Genet. Sel. Evol. 1985; 17(2):265-282. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713923/ Robertson A, Stewart A, Ashton ED. The progeny assessment of dairy sires for milk: The use of contemporary comparisons. Proc Br Soc Anim Prod. 1956; 43–50. https://doi.org/10.1017/S0369852100001688 Henderson CR, Carter HW, Godfrey JT. Use of the contemporary average in appraising progeny test of dairy bulls. J Anim Sci. 1954; 12:949. https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1031&context=wcgalp Weigel KA, VanRaden PM, Norman HD, Grosu H. A 100-Year Review: Methods and impact of genetic selection in dairy cattle -From daughter- dam comparisons to deep learning algorithms. J Dairy Sci. 2017; 100(12):10234-10250. https://doi.org/10.3168/jds.2017-12954 Robison OW, Mcdaniel BT, Rincon EJ. Estimation of direct and maternal additive and heterotic effects from crossbreeding experiments in animals. J Anim Sci. 1981; 52(1):44–50. https://doi.org/10.2527/jas1981.52144x Thorpe W, Kangethe P, Rege JEO, Mosi RO, Mwandotto BAJ, Njuguna P. Crossbreeding Ayrshire, Friesian and Sahiwal cattle for milk yield and preweaning traits of progeny in the semiarid tropics of Kenya. J Dairy Sci. 1993; 76(7): 2001–2012. https://doi.org/10.3168/jds.S0022-0302(93)77534-7 Sneddon NW, Lopez-Villalobos N, Hickson RE, Shalloo L. Genetic parameters for lactose and its relationship with concentrations and ratios of other milk components. Proceedings of the New Zealand Society of Animal Production. 2012; 72:76–80. http://www.nzsap.org/system/files/proceedings/2012/ab12018.pdf Roman RM, Wilcox CJ, Littell RC. Genetic trends for milk yield of Jerseys and correlated changes in productive and reproductive performance. J Dairy Sci. 1999; 82:196–204. https://www.nrcresearchpress.com/d voi/pdfplus/10.4141/cjas79-024 Roman RM, Wilcox CJ. Bivariate animal model estimates of genetic, phenotypic, and environmental correlations for production, reproduction, and somatic cell in Jerseys. J Dairy Sci. 2000; 83:829–835. https://www.sciencedirect.com/science/article/pii/S0022030200749460 Johnson DL, Petch SF, Winkelman AM, Bryant M. Genetics of milk characteristics in New Zealand dairy cattle. Proceedings of the New Zealand Society of Animal Production. 2000; 60:318–319. http://www.nzsap.org/proceedings/2000/genetics-milk-characteristics-new-zealand-dairy-cattle Pryce JE, Harris BL. Genetics of body condition score in New Zealand dairy cows. J Dairy Sci. 2006. 89:4424–4432. https://www.journalofdairyscience.org/article/S0022-0302(06)72490-0/fulltext Miglior F, Sewalem A, Jamrozik J, Bohmanova J, Lefebvre DM, Moore RK. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. J Dairy Sci. 2007; 90: 2468–2479. https://www.ncbi.nlm.nih.gov/pubmed/17430951 Amasaib EO, Mohamed HE, Fadel Elseed AN. Lactation Length and Lactation Milk Yield in Cattle in Sudan. J Dairy Sci. 2008; 2(1):1-4. http://medwelljournals.com/abstract/?doi=rjdsci.2008.1.4 Bratt G. Milk Kontorllen 1984-1985. New Progress. Kontorllen 1984-1985 Nya framsteg. Husdjur (1985). No. 10:7-10 (SV) SHS. Hollsta. Sweden Anim Breed Abstr. 1985; 54:208. Ditton T. Federation of UK milk marketing Boards. UK dairy facts and figures, xiii. Anim Breed Abst. 1985; 54:210. Van Vleck LD, Henderson CR. Ratio factors for adjusting monthly test-day data for age and season of calving and ratio factors for extending part lactation records. J Dairy Sci. 1961; 44:1093–1101. https://www.journalofdairyscience.org/article/S0022-0302(61)89860-3/abstract Gomez KA, Gomez AA. Statistical Procedures for Agricultural Research. 2nd Edition, John Wiley and Sons, New York. 1984 https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=2253909 SAS.SAS/STAT Users Guide for Personal Computers Release 9. 2.SAS. Institute Inc., Cary, NC., USA: 2004. https://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_91/ets_ug_7314.pdf Buckley, F., Sullivan, K. O, Mee, J. F., Evans, R. D., Dillon, P. 2003. Relationships among milk yield, body condition, cow weight and reproduction in spring-calved Holstein-Friesians. J Dairy Sci. 86(7):2308–2319. https://www.journalofdairyscience.org/article/S0022-0302(03)73823-5/fulltext Pritchard T, Coffey M, Mrode R, Wall E. Genetic parameters for production, health, fertility and longevity traits in dairy cows. J Dairy Sci. 2013; 7(1):34–46. https://www.ncbi.nlm.nih.gov/pubmed/23031504 Calus MPL, Carrick MJ, Veerkamp RF, Goddard ME. Estimation of genetic parameters for milk fat depression in dairy cattle. J Dairy Sci. 2005; 88:1166-1177. https://www.sciencedirect.com/science/article/pii/S0022030205727831 Gorjanc G, Malovrh S, Logar B, Kovac M. Fixed effects for 305-day lactation milk traits in cattle. Zbornik Biotehniške Fakultete Univerze V Ljubljani Kmetijstvo Supliment. 2001; 31, 301-307. https://www.scribd.com/document/2551877/Fixed-effects-for-305-day-lactation-milk-traits-in-cattle Welper RD, Freeman AE. Genetic parameters for yield traits of Holsteins, including lactose and somatic cell score. J Dairy Sci. 1992. 75:1342–1348. https://www.sciencedirect.com/science/article/pii/S0022030292778850 Fox PF, Morrissey PA. Review of the progress of dairy science: the heat stability of milk. J Dairy Res. 1977; 44:627. https://www.cambridge.org/core/journals/journal-of-dairy- research/article/heat-stability-of- milk Ng-Kwai-Hang KF, Hayes JF, Moxley JE, Monardes HG. Environmental influences on protein content and composition of bovine milk. J Dairy Sci; 1982; 65:1993. https://www.ncbi.nlm.nih.gov/pubmed/6890960 Migose SA, Magothe TM, Muasya TK, Ilatsia EDA, Kahi K. Milk production and reproductive performance of Bos Taurus dairy breeds in Kenya. In: Proceedings of the 32nd Scientific Conference of the Tanzania Society of Animal Production. 2006. 32:184-190. Liesbeth VW. Textbook Animal Breeding and Genetics for BSc students. Centre for Genetic Resources the Netherlands and Animal Breeding and Genomics Centre, Groen 2015. https://www.wur.nl/upload_mm/d/b/b/614bcc19-036f-434e-9d40-609364ab26da _Textbook%20Animal%20Breeding%20and%20Genetics-v17-20151122_1057.pdf Cardoso VL, Pereira Lima ML, Nogueira JR, de Carneiro RLR, Sesana RC, Oliveira EJ, Faro LE. Economic values for milk production and quality traits in south and southeast regions of Brazil. R Bras Zootec. 2014; 43(12):636-642. https://doi.org/10.1590/S1516-35982014001200002 https://revistas.unisucre.edu.co/index.php/recia/article/download/e747/940 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
| institution |
UNIVERSIDAD DE SUCRE |
| thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADDESUCRE/logo.png |
| country_str |
Colombia |
| collection |
Revista Colombiana de Ciencia Animal - RECIA |
| title |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| spellingShingle |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo Mardenli, Omar R Progeny test breeding values 305-day milk yield milk components Prueba de progenie valores genéticos producción de leche de 305 días componentes de la leche |
| title_short |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| title_full |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| title_fullStr |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| title_full_unstemmed |
La prueba de progenie de toros Friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| title_sort |
la prueba de progenie de toros friesian para las características de la leche mediante el uso del método de comparación contemporáneo |
| title_eng |
The Progeny test of Friesian sires for milk traits by using the contemporary comparison method |
| description |
Se utilizó el método de comparación contemporáneo (CC) de la relación de medio hermanos para estimar los valores genéticos de los toros Holstein-Friesian para 305días de producción de leche (305-DMY) y componentes básicos de las características de la leche, 409 registros de vacas. que son hijas de diez toros en ocho granjas lecheras sirias donde se utilizaron. El resultado del estudio mostró diferencias en los valores genéticos estimados (ccEBVs), donde el E Sire alcanzó el valor más alto del rasgo 305-DMY (254,47 kg), mientras que el B Sire alcanzó el mayor valor de porcentaje de proteína de la leche (MPP), leche rasgos de porcentaje de grasa (MFP) y porcentaje de lactosa de la leche (MLP) (0.822%, 0.857% y 1.09% respectivamente). De acuerdo con sus toros, las hijas de E Sire superaron a sus contrapartes en los rasgos 305-DMY (p=0.001), MPP (p=0.001) y MFP (p=0.04) (5701.44 kg, 3.55% y 3.88% respectivamente). Según la fuente de la finca, las hijas de la Finca 5 alcanzaron el valor más alto del rasgo 305-DMY (p= 0.04) y las hijas de la séptima finca lograron el valor más alto del rasgo MPP (p=0.007), los valores fueron 5403.48kg y 3.54% respectivamente. Los valores de heredabilidad (h2) para los rasgos de 305-DMY, MPP, MFP y MLP fueron 0.33, 0.54, 0.43 y 0.47 respectivamente. La mayoría de los coeficientes de correlación genéticos y fenotípicos se acercaban a cero, excepto la relación genética entre MLP y MPP y la relación fenotípica entre MFP y MPP (0,88 y 0,84 respectivamente).
 
|
| description_eng |
In this study, the contemporary comparison method (CC) of half-sibs relation was used to estimate the breeding values of Holstein-Friesian sires for 305 -day milk yield (305-DMY) and basic components of milk traits, 409 records of cows that are daughters of ten sires in eight Syrian dairy farms where used. Result of the study showed differences in the estimated breeding values(ccEBVs), where the E Sire achieved the highest value of 305-DMY trait (254.47 kg), while the B Sire achieved the highest value of milk protein percentage (MPP), milk fat percentage (MFP)and milk lactose percentage (MLP) traits (0.822 %, 0.857 %and 1.09% respectively). According to their sires, daughters of E Sire outperformed the counterparts in the 305-DMY (p = 0.001), MPP (p = 0.001) and MFP (p = 0.04) traits (5701.44 kg, 3.55%, and 3.88% respectively). According to source of farm, daughters in Farm 5 achieved the highest value of 305-DMY trait (p=0.04) and daughters in the seventh farm achieved the highest value of MPP trait (p=0.007), the values were 5403.48 kg and 3.54 % respectively. Values of heritability (h2) for the traits of 305-DMY, MPP, MFP and MLP were 0.33,0.54,0.43 and 0.47 respectively. Most of genetic and phenotypic correlations coefficients were approaching to zero except the genetic relation between MLP and MPP and phenotypic relation between MFP and MPP (0.88 and 0.84 respectively).
 
|
| author |
Mardenli, Omar R |
| author_facet |
Mardenli, Omar R |
| topic |
Progeny test breeding values 305-day milk yield milk components Prueba de progenie valores genéticos producción de leche de 305 días componentes de la leche |
| topic_facet |
Progeny test breeding values 305-day milk yield milk components Prueba de progenie valores genéticos producción de leche de 305 días componentes de la leche |
| topicspa_str_mv |
Prueba de progenie valores genéticos producción de leche de 305 días componentes de la leche |
| citationvolume |
13 |
| citationissue |
1 |
| citationedition |
Núm. 1 , Año 2021 : RECIA 13(1):ENERO-JUNIO 2021 |
| publisher |
Universidad de Sucre |
| ispartofjournal |
Revista Colombiana de Ciencia Animal - RECIA |
| source |
https://revistas.unisucre.edu.co/index.php/recia/article/view/e747 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Colombiana de Ciencia Animal - RECIA - 2021 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references_eng |
Renand G. Genetic parameters of French beef breeds used in crossbreeding for young bull production. II - Slaughter performance, Genet. Sel. Evol. 1985; 17(2):265-282. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713923/ Robertson A, Stewart A, Ashton ED. The progeny assessment of dairy sires for milk: The use of contemporary comparisons. Proc Br Soc Anim Prod. 1956; 43–50. https://doi.org/10.1017/S0369852100001688 Henderson CR, Carter HW, Godfrey JT. Use of the contemporary average in appraising progeny test of dairy bulls. J Anim Sci. 1954; 12:949. https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1031&context=wcgalp Weigel KA, VanRaden PM, Norman HD, Grosu H. A 100-Year Review: Methods and impact of genetic selection in dairy cattle -From daughter- dam comparisons to deep learning algorithms. J Dairy Sci. 2017; 100(12):10234-10250. https://doi.org/10.3168/jds.2017-12954 Robison OW, Mcdaniel BT, Rincon EJ. Estimation of direct and maternal additive and heterotic effects from crossbreeding experiments in animals. J Anim Sci. 1981; 52(1):44–50. https://doi.org/10.2527/jas1981.52144x Thorpe W, Kangethe P, Rege JEO, Mosi RO, Mwandotto BAJ, Njuguna P. Crossbreeding Ayrshire, Friesian and Sahiwal cattle for milk yield and preweaning traits of progeny in the semiarid tropics of Kenya. J Dairy Sci. 1993; 76(7): 2001–2012. https://doi.org/10.3168/jds.S0022-0302(93)77534-7 Sneddon NW, Lopez-Villalobos N, Hickson RE, Shalloo L. Genetic parameters for lactose and its relationship with concentrations and ratios of other milk components. Proceedings of the New Zealand Society of Animal Production. 2012; 72:76–80. http://www.nzsap.org/system/files/proceedings/2012/ab12018.pdf Roman RM, Wilcox CJ, Littell RC. Genetic trends for milk yield of Jerseys and correlated changes in productive and reproductive performance. J Dairy Sci. 1999; 82:196–204. https://www.nrcresearchpress.com/d voi/pdfplus/10.4141/cjas79-024 Roman RM, Wilcox CJ. Bivariate animal model estimates of genetic, phenotypic, and environmental correlations for production, reproduction, and somatic cell in Jerseys. J Dairy Sci. 2000; 83:829–835. https://www.sciencedirect.com/science/article/pii/S0022030200749460 Johnson DL, Petch SF, Winkelman AM, Bryant M. Genetics of milk characteristics in New Zealand dairy cattle. Proceedings of the New Zealand Society of Animal Production. 2000; 60:318–319. http://www.nzsap.org/proceedings/2000/genetics-milk-characteristics-new-zealand-dairy-cattle Pryce JE, Harris BL. Genetics of body condition score in New Zealand dairy cows. J Dairy Sci. 2006. 89:4424–4432. https://www.journalofdairyscience.org/article/S0022-0302(06)72490-0/fulltext Miglior F, Sewalem A, Jamrozik J, Bohmanova J, Lefebvre DM, Moore RK. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. J Dairy Sci. 2007; 90: 2468–2479. https://www.ncbi.nlm.nih.gov/pubmed/17430951 Amasaib EO, Mohamed HE, Fadel Elseed AN. Lactation Length and Lactation Milk Yield in Cattle in Sudan. J Dairy Sci. 2008; 2(1):1-4. http://medwelljournals.com/abstract/?doi=rjdsci.2008.1.4 Bratt G. Milk Kontorllen 1984-1985. New Progress. Kontorllen 1984-1985 Nya framsteg. Husdjur (1985). No. 10:7-10 (SV) SHS. Hollsta. Sweden Anim Breed Abstr. 1985; 54:208. Ditton T. Federation of UK milk marketing Boards. UK dairy facts and figures, xiii. Anim Breed Abst. 1985; 54:210. Van Vleck LD, Henderson CR. Ratio factors for adjusting monthly test-day data for age and season of calving and ratio factors for extending part lactation records. J Dairy Sci. 1961; 44:1093–1101. https://www.journalofdairyscience.org/article/S0022-0302(61)89860-3/abstract Gomez KA, Gomez AA. Statistical Procedures for Agricultural Research. 2nd Edition, John Wiley and Sons, New York. 1984 https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=2253909 SAS.SAS/STAT Users Guide for Personal Computers Release 9. 2.SAS. Institute Inc., Cary, NC., USA: 2004. https://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_91/ets_ug_7314.pdf Buckley, F., Sullivan, K. O, Mee, J. F., Evans, R. D., Dillon, P. 2003. Relationships among milk yield, body condition, cow weight and reproduction in spring-calved Holstein-Friesians. J Dairy Sci. 86(7):2308–2319. https://www.journalofdairyscience.org/article/S0022-0302(03)73823-5/fulltext Pritchard T, Coffey M, Mrode R, Wall E. Genetic parameters for production, health, fertility and longevity traits in dairy cows. J Dairy Sci. 2013; 7(1):34–46. https://www.ncbi.nlm.nih.gov/pubmed/23031504 Calus MPL, Carrick MJ, Veerkamp RF, Goddard ME. Estimation of genetic parameters for milk fat depression in dairy cattle. J Dairy Sci. 2005; 88:1166-1177. https://www.sciencedirect.com/science/article/pii/S0022030205727831 Gorjanc G, Malovrh S, Logar B, Kovac M. Fixed effects for 305-day lactation milk traits in cattle. Zbornik Biotehniške Fakultete Univerze V Ljubljani Kmetijstvo Supliment. 2001; 31, 301-307. https://www.scribd.com/document/2551877/Fixed-effects-for-305-day-lactation-milk-traits-in-cattle Welper RD, Freeman AE. Genetic parameters for yield traits of Holsteins, including lactose and somatic cell score. J Dairy Sci. 1992. 75:1342–1348. https://www.sciencedirect.com/science/article/pii/S0022030292778850 Fox PF, Morrissey PA. Review of the progress of dairy science: the heat stability of milk. J Dairy Res. 1977; 44:627. https://www.cambridge.org/core/journals/journal-of-dairy- research/article/heat-stability-of- milk Ng-Kwai-Hang KF, Hayes JF, Moxley JE, Monardes HG. Environmental influences on protein content and composition of bovine milk. J Dairy Sci; 1982; 65:1993. https://www.ncbi.nlm.nih.gov/pubmed/6890960 Migose SA, Magothe TM, Muasya TK, Ilatsia EDA, Kahi K. Milk production and reproductive performance of Bos Taurus dairy breeds in Kenya. In: Proceedings of the 32nd Scientific Conference of the Tanzania Society of Animal Production. 2006. 32:184-190. Liesbeth VW. Textbook Animal Breeding and Genetics for BSc students. Centre for Genetic Resources the Netherlands and Animal Breeding and Genomics Centre, Groen 2015. https://www.wur.nl/upload_mm/d/b/b/614bcc19-036f-434e-9d40-609364ab26da _Textbook%20Animal%20Breeding%20and%20Genetics-v17-20151122_1057.pdf Cardoso VL, Pereira Lima ML, Nogueira JR, de Carneiro RLR, Sesana RC, Oliveira EJ, Faro LE. Economic values for milk production and quality traits in south and southeast regions of Brazil. R Bras Zootec. 2014; 43(12):636-642. https://doi.org/10.1590/S1516-35982014001200002 |
| type_driver |
info:eu-repo/semantics/article |
| type_coar |
http://purl.org/coar/resource_type/c_6501 |
| type_version |
info:eu-repo/semantics/publishedVersion |
| type_coarversion |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| type_content |
Text |
| publishDate |
2020-11-11 |
| date_accessioned |
2020-11-11T00:00:00Z |
| date_available |
2020-11-11T00:00:00Z |
| url |
https://revistas.unisucre.edu.co/index.php/recia/article/view/e747 |
| url_doi |
https://doi.org/10.24188/recia.v13.n1.2021.747 |
| eissn |
2027-4297 |
| doi |
10.24188/recia.v13.n1.2021.747 |
| citationstartpage |
e747 |
| citationendpage |
e747 |
| url2_str_mv |
https://revistas.unisucre.edu.co/index.php/recia/article/download/e747/940 |
| _version_ |
1811200765573726208 |