Influence of milk production records on the estimation of typical and extended curve lactation parameters in local goats under grazing management

GLAFIRO TORRES-HERNÁNDEZ; JORGE A. MALDONADO-JÁQUEZ; HOMERO SALINAS-GONZÁLEZ; LORENZO DANILO GRANADOS-RIVERA; FRANCISCO J. PASTOR-LÓPEZ; HUMBERTO VAQUERA-HUERTA; YURIDIA BAUTISTA-MARTÍNEZ

doi:10.56093/ijans.v90i4.104224

Authors

GLAFIRO TORRES-HERNÁNDEZ Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
JORGE A. MALDONADO-JÁQUEZ Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
HOMERO SALINAS-GONZÁLEZ Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
LORENZO DANILO GRANADOS-RIVERA Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
FRANCISCO J. PASTOR-LÓPEZ Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
HUMBERTO VAQUERA-HUERTA Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México
YURIDIA BAUTISTA-MARTÍNEZ Campo Experimental La Laguna-INIFAP, Matamoros, Coahuila 27440 México

https://doi.org/10.56093/ijans.v90i4.104224

Keywords:

Arid zones, Goat milk, Precision, Wood model

Abstract

The effect of measure number of milk production (MP) on the estimation of parameters in typical and extended lactations curve parameters of local goats was evaluated. This study was conducted with 14 producers in 5 communities of the Comarca Lagunera, State of Coahuila, MÃ©xico. MP was measured monthly by hand-milking during 4 years. Data analyzed included 12,097 observations belonging to 2,229 lactations from 1,125 local goats. The Wood model was utilized to characterize the lactation curve and its parameters (a, b, and c). Two groups were formed, G1 (typical lactation with 3-7 milk measures), and G2 (extended lactations with 8-10 milk measures). The criterion utilized to determine the adequate number of MP measures during lactation was the standard error of the estimate. The best fit in the estimation of the curve parameters was obtained in G2. Factors affecting the curve parameters were also evaluated utilizing the MIXED procedure of SAS. Community, year, and parity number influenced all the parameters in both groups. Flock within community influenced b and c in G1. Season of parity influenced c in G2. It is concluded that a higher measure number of MP in an extended lactation helps in better estimation of lactation curve parameters.

Downloads

Download data is not yet available.

References

Akpa G N, Asiribo E O, Oni O O and Alawa J P. 2001. The influence of non-genetic factors on the shape of lactation curves in Red Sokoto goats. Animal Science 72: 233–39. DOI: https://doi.org/10.1017/S1357729800055727

Ángel-Marín P A, Agudelo-Gómez D A, Restrepo L F, CañasÁlvarez J J and Cerón-Muñoz M F. 2009. Curvas de lactancia de cabras mestizas utilizando modelos matemáticos no lineales. Revista Lasallista de Investigación 6(1): 43–49.

Butler S T, Shalloo L and Murphy J J. 2010. Extended lactations in a seasonal-calving pastoral system of production to modulate the effects of reproductive failure. Journal of Dairy Science 93: 1283–95. DOI: https://doi.org/10.3168/jds.2009-2407

Chang Y M, Rekaya R, Gianola D and Thomas D L. 2001. Genetic variation of lactation curves in dairy sheep: A Bayesian analysis of Wood´s function. Livestock Production Science 71: 241–51. DOI: https://doi.org/10.1016/S0301-6226(01)00185-3

Douhard F, Friggens N C, Tessier J, Martin O, Tichit M and Sauvant D. 2013. Characterization of a changing relationship between milk production and live weight for dairy goats undergoing extended lactation. Journal of Dairy Science. 96: 5698–5711. DOI: https://doi.org/10.3168/jds.2012-6374

Gaddour A, Najari S and Ferchichi A. 2009. Lactation curve of local goat, pure breeds and crosses in Southern Tunisia. Journal of Applied Animal Research 36(1): 153–57. DOI: https://doi.org/10.1080/09712119.2009.9707051

Gálmez J, Pérez M P, Pittet J, Guzman W V, Figueroa B E and Briones M A. 1987. Producción de leche de cabra criolla según el número ordinal de parto. Avances en Ciencias Veterinarias 2(2): 121–25.

García E. 1998. Modificaciones al sistema de clasificación climática de Köppen. 4th. Ed. México. 220 p. UNAM, México. DF.

Macciota N P P, Fresi P, Usai G and Cappio-Borlino A. 2005. Lactation curves of Sarda breed goats estimated with test day models. Journal of Dairy Research 72: 470–75. DOI: https://doi.org/10.1017/S0022029905001366

Maldonado-Jáquez J A, Salinas-González H, Torres-Hernández G, Becerril-Pérez C M and Díaz-Rivera P. 2018. Factors influencing milk production of local goats in the Comarca Lagunera, México. Livestock Research for Rural Development. Volume 30, Article #132. Retrieved January 9, 2019, from http://www.lrrd.org/lrrd30/7/glat30132.html.

Marete A G, Mosi R O, Amino J O and Jung J O. 2014. Characteristics of lactation curves of the Kenya Alpine dairy goats in smallholder farms. Open Journal of Animal Sciences 4: 92–102. DOI: https://doi.org/10.4236/ojas.2014.42013

Mellado M, Foote R H and Borrego E. 1991. Lactational performance, prolificacy and relationship to parity and body weight in crossbed native goats in northen Mexico. Small Ruminant Research 6: 167–74. DOI: https://doi.org/10.1016/0921-4488(91)90020-Q

Portolano B, Spatafora F, Bono G, Margiotta S, Todaro M, Ortoleva V and Leto G. 1997. Application of the Wood model to lactation curves of Comisana sheep. Small Ruminant Research 24: 7–13. DOI: https://doi.org/10.1016/0921-4488(95)00842-X

Quintero J C, Serna J I, Hurtado N A, Rosero-Noguera R and Cerón-Muñoz M F. 2007. Mathematical models for lactation curves in dairy cattle. Revista Colombiana de Ciencias Pecuarias 20: 149–56.

Ramírez-Valverde R, García-Muñiz J G, Núñez-Domínguez R, Ruíz-Flores A and Meraz-Alvarado M R. 2004. Comparison of equations to estimate lactation curves using different sampling strategies in Angus and Brown Swiss cattle and their crosses. Veterinaria México 35(3): 187–201.

Ruvuna F, Kogi J K, Taylor J F and Mkuu S M. 1995. Lactation curves among crosses of Galla and East African with Toggenburg and Anglo Nubian goats. Small Ruminant Research 16: 1–6. DOI: https://doi.org/10.1016/0921-4488(94)00043-7

Sánchez de la Rosa I, Martínez-Rojero R D, Torres-Hernández G, Becerril-Pérez C M, Mastache-Lagunas A A, Suarez- Espinoza J and Rubio-Rubio M. 2006. Milk production and lactation curves of three goat breeds in the dry tropics of México. Veterinaria México 37(4): 493–502.

SAS. 2002. SAS/STAT User’s Guide, Software version 9.0. SAS Institute Inc. Cary, NC, USA.

Shaat I. 2014. Application of the wood lactation curve in analyzing the variation of daily milk yield in Zaraibi goats in Egypt. Small Ruminant Research 117: 25–33. DOI: https://doi.org/10.1016/j.smallrumres.2013.11.012

Silvestre A M, Petim-Batista F and Colaco J. 2006. The accuracy of seven mathematical functions in modeling dairy cattle lactation curves based on test-day records from varying sample schemes. Journal of Dairy Science 89(5): 1813–21. DOI: https://doi.org/10.3168/jds.S0022-0302(06)72250-0

Sorensen A, Muir D D and Knight C H. 2008. Extended lactation in dairy cows: Effects of milking frequency, calving season and nutrition on lactation persistency and milk quality. Journal of Dairy Research 75: 90–97. DOI: https://doi.org/10.1017/S0022029907002944

Waheed A and Sajjad-Khan M. 2013. Lactation curve of Beetal goats in Pakistan. Archiv Tierzucht-Germany 56(89): 892–98. Wood P D P. 1967. Algebraic model of the lactation curve in cattle. Nature 216: 164–65. DOI: https://doi.org/10.7482/0003-9438-56-089

Yépez R H, Rúa-Bustamante C V, Idárraga-Idárraga Y, Arboleda- Zapata E, Calvo-Cardona S, Montoya-Atehortúa A, Cardona- Cadavid H and Cerón-Muñoz M. 2010. Estimación de las curvas de lactancia y producción de leche de cabras del departamento de Antioquia, usando controles lecheros quincenales y mensuales. Revistas CES Medicina Veterinaria y Zootecnia 5(2): 30–35.