Factors effecting the lactation curve parameters of Brown Swiss and Jersey cows in Türkiye


Publiée : jul 11, 2024
Versions :
2024-07-11 (1)
M Yıldırır
https://orcid.org/0000-0003-3710-2038
Résumé

The explanatory capacity of the lactation models depends on the successful prediction of the lactation process and the regulation of environmental factors affecting production parameters. Therefore, in this study, six different lactation curve models (Wood, Wilmink, Sikka, Gou and Swalve, Nelder and Cobby and Le Du) were used to compare lactation milk yield data in individual monthly interval. Yield records in the first five lactations (1-5) were used a total of 61525 lactations data belonging to 22955 Brown Swiss (BS) and 5178 Jersey (JR) cows. Except for the Cobby and LeDu curve model, the explanatory capacity for the lactation curve models of the other models was quite high and the adjusted R2 (between 0.95 and 0.99) and RSD (between 0.97 and 1.03) were found to be close to the others. Observed and estimated milk yield had higher milk yield in EU origin BS cows, while TR origins had higher milk yield in JR cows (P<0.01). Observed and estimated milk yield were higher autumn-winter season compared to the spring-summer season in both breeds (P<0.01). With this approach, Wood's curve model was able to make a successful prediction in terms of lactation dynamics and environmental factors affecting production for both breeds. Moreover, results with sufficient accuracy were obtained with the Wood model in terms of breed-origin and environmental factors (breeding region, parity, season and year) affecting lactation processes. The factors such as year of calving, season of calving and parity were the most important factors that accounted for the large amount of the variation.

Article Details
  • Rubrique
  • Research Articles
Téléchargements
Les données relatives au téléchargement ne sont pas encore disponibles.
Biographie de l'auteur
M Yıldırır, General Directorate of Agircultural research and Policies. International Center for Livestock Research and Training

 

 

Références
Abacı SH, Onder H, Sahin M, Yavuz E. (2020) Determination of number
and position of knots in cubic spline regression for modeling individual lactation curves in three different breed. Pakistan Journal of
Zoology 52(6): 2039-2045.
Albarran-Portillo B, Pollott GE (2011) Environmental factors affecting
lactation curve parameters in the United Kingdom s commercial dairy
herds. Archivos de Medicina Veterinaria 43(2): 145-153.
Andersen F, Østerås O, Reksen O, Gröhn YT (2011) Mastitis and the
shape of the lactation curve in Norwegian dairy cows. Journal of
Dairy Research 78(1): 23-31.
Atashi H, Zamiri MJ, Sayyadnejad MB (2012) Effect of twinning and
stillbirth on the shape of lactation curve in Holstein dairy cows of
Iran. Archives Animal Breeding 55(3): 226-233.
Barash H, N Silanikove, A Shamay, E Ezra. (2001) Interrelationships
among ambient temperature, day length, and milk yield in dairy cows
under a Mediterranean climate. Journal of Dairy Science 84: 2314-
Ben Gara A, B Rekik, M Bouallegue (2006) Genetic parameters and evaluation of the Tunisian dairy cattle population for milk yield by Bayesian and BLUP analyses. Livestock Science 100: 142-149.
Boujenane I, Hilal B (2012) Genetic and non-genetic effects for lactation curve traits in Holstein-Friesian cows. Archives Animal Breeding 55(5): 450-457.
Çakıllı F, Güneş H (2012) Some factors affecting on persistency of lactation milk yield in Brown Swiss cattle. Journal of Istanbul University
Veterinary Faculty 38(2): 89-95.
Cankaya S, Unalan A, Soydan E (2011) Selection of a mathematical model to describe the lactation curves of Jersey cattle. Archives Animal
Breeding 54(1): 27-35.
Cobby JM, Le Du YLP (1978) On fitting curves to lactation data. Animal
Production (26):127-133.
Fernandez C, Sanchez A, Garces C (2002) Modeling the lactation curve
for test-day milk yield in Murciano-Granadina goats. Small Ruminant
Research 46: 29-41.
Guo Z, Swalve HH (1997) Comparison of different lactation curve
sub-models in test day models. Interbull Bulletin 16:75-79.
M’Hamdi N, Darej C, Attia K, Znaidi IEA, Khattab R, Djelailia H,
Bouraoui R, Taboubi R, Marzouki L, Ayadi M (2021) Modelling THI
effects on milk production and lactation curve parameters of Holstein
dairy cows. Journal of Thermal Biology 99: 102917.
Kaygısız A, Vanlı Y, Yılmaz İ (2003). A Study on lactation curve traits of
Brown cattle. Animal Production 44(2): 69-80.
Koncagül S, Yazgan K (2008) Modelling first lactation of Holstein cows
on herds in the southeast region of Turkey. J. Anim. Vet. Adv. 7(7):
-840.
Kopec T, Chládek G, Kučera J, Falta D, Hanuš O, Roubal P (2013) The effect of the calving season on the Wood’s model parameters and characteristics of the lactation curve in Czech Fleckvieh cows. Archives
Animal Breeding 56(1): 808-815.
Li M, Rosa GJM, Reed KF, Cabrera VE (2022) Investigating the effect of
temporal, geographic, and management factors on US Holstein lactation curve parameters. Journal of Dairy Science 105(9): 7525-7538.
López S, France J, Odongo NE, McBride RA, Kebreab E, AlZahal O,
McBride BW, Dijkstra J (2015) On the analysis of Canadian Holstein
dairy cow lactation curves using standard growth functions. Journal
of Dairy Science 98(4): 2701-2712.
Nelder JA (1966) Inverse polynomials, a useful group of multi-factor response functions. Biometrics 22: 128-141.
Macciotta NPP, Vicario D, Cappio-Borlino A (2005) Detection of Different Shapes of Lactation Curve for Milk Yield in Dairy Cattle by
Empirical Mathematical Models. Journal of Dairy Science 88: 1178-
Okuyucu IC, Erdem H, Atasever S (2018) Variation in milk production of
Brown Swiss cows by calving season, stage of lactation and year. Scientific Papers: Series D, Animal Science-The International Session of
Scientific Communications of the Faculty of Animal Science 61(1):
-142.
Piccardi M, Macchiavelli R, Funes AC, Bó GA, Balzarini M (2017) Fitting milk production curves through nonlinear mixed models. Journal
of Dairy Research 84(2): 146-153.
Ray DE, Halbach TJ, Armstrong DV (1992) Season and Lactation Number Effects on Milk Production and Reproduction of Dairy Cattle in
Arizona. Journal of Dairy Science 75: 2976-2983
Rekik B, Ben Gara A (2004) Factors affecting the occurrence of atypical
lactations for Holstein-Friesian cows. Livestock Production Science
: 245-250.
SAS 9.3 software (2013) SAS Institute Inc: SAS/STAT® 131 User’s
Guide, Cary, NC.
Sikka LC (1950) A study of lactation as affected by heredity and environment. The Journal of Dairy Research 17: 231-252.
Strucken EM, de Koning DJ, Rahmatalla SA, Brockmann GA (2011) Lactation curve models for estimating gene effects over a timeline. Journal of Dairy Science 94(1): 442-449.
Val-Arreola D, Kebreab E, Dijkstra J, France J (2004). Study of the lactation curve in dairy cattle on farms in central Mexico. Journal of Dairy
Science 87(11): 3789-3799.
Wilmink JBM (1987) Adjustment of test-day milk, fat and protein yield
for age, season and stage of lactation. Livestock Production Science
: 335-348.
Wood PDP (1967) Algebraic Model of Laetation Curve İn Cattle. Nature
: 164-165.
Yenilmez K, Doğan H, Özbaşer FT (2022) Environmental factors influencing milk yield and lactation length in Italian Mediterranean buffaloes in Turkiye. Journal of the Hellenic Veterinary Medical Society 73(3): 4295-4302