Associations of breed and feeding management with milk production curves at herd level using a random regression test-day model

被引:6
|
作者
Caccamo, M. [1 ]
Veerkamp, R. F. [2 ]
Ferguson, J. D. [3 ]
Petriglieri, R. [1 ]
La Terra, F. [1 ]
Licitra, G. [1 ,4 ]
机构
[1] CoRFiLaC, I-97100 Ragusa, Italy
[2] Wageningen UR Livestock Res, Anim Breeding & Genom Ctr, NL-8200 AB Lelystad, Netherlands
[3] Univ Penn, Sch Vet Med, Kennett Sq, PA 19348 USA
[4] Catania Univ, Dipartimento Sci Agron Agrochim & Prod Anim DACPA, Fac Agr, I-95123 Catania, Italy
关键词
herd curve; feeding management; test-day model; SOMATIC-CELL SCORE; DAIRY-COWS; DIETARY-PROTEIN; BROWN-SWISS; PERFORMANCE; YIELD; FAT; LACTATION; SYSTEMS; PREDICTION;
D O I
10.3168/jds.2009-2835
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Earlier studies identified large between-herd variation in estimated lactation curve parameters from test-day milk yield and milk composition records collected in Ragusa province, Italy. The objective of this study was to identify sources of variation able to explain these between-herd differences in milk production curves, by estimating associations of animal breed (Holstein Friesian vs. Brown Swiss), feeding system [separate feeding (SF) vs. total mixed ration (TMR)], and TMR chemical composition on milk and milk components herd curves. Data recorded from 1992 through 2007 for test-day (TD) milk, fat, and protein yields from 1,287,019 records of 148,951 lactations of 51,489 cows in 427 herds were processed using a random regression TD model. Random herd curves (HCUR) for milk, fat, and protein yields were estimated from the model per herd, year, and parity (1, 2, and 3+) using 4-order Legendre polynomials. From March 2006 through December 2007, samples of TMR, were collected every 3 mo from 37 farms in Ragusa province. Samples were analyzed for dry matter, ash, crude protein, soluble nitrogen, acid detergent lignin, neutral detergent fiber, acid detergent fiber, and starch. Traits used to describe milk production curves were peak, days in milk at peak, persistency, and mean. Association of feeding system and animal breed with HCUR, traits was investigated using a general mixed model procedure. Association of TMR chemical composition with HCUR traits was investigated using multivariate analysis with regression and stepwise model selection. Results were consistent for all traits and parities. Feeding system was significantly associated with HCUR peak and mean, with higher values for TMR. Animal breed was significantly associated with HCUR, persistency, with higher values for Brown Swiss herds. Furthermore, animal breed influenced HCUR. peak and mean, with higher values for Holstein Friesian herds. Crude protein had the largest effect on HCUR peak and mean, whereas the interaction between crude protein and dry matter mainly affected persistency. When provided by a national evaluation system, HCUR can be used as an indicator of herd feeding management.
引用
收藏
页码:4986 / 4995
页数:10
相关论文
共 50 条
  • [21] Adjustment for heterogeneous covariance due to herd milk yield by transformation of test-day random regressions
    Gengler, N
    Wiggans, GR
    Gillon, A
    [J]. JOURNAL OF DAIRY SCIENCE, 2005, 88 (08) : 2981 - 2990
  • [22] Analysis of persistency in the lactation of Holstein cows using test-day yield and random regression model
    Cobuci, JA
    Euclydes, RF
    Costa, CN
    Lopes, PS
    Torres, RD
    Pereira, CS
    [J]. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2004, 33 (03): : 546 - 554
  • [23] Modeling heat stress effects on dairy cattle milk production in a tropical environment using test-day records and random regression models
    Mbuthia, J. M.
    Mayer, M.
    Reinsch, N.
    [J]. ANIMAL, 2021, 15 (08)
  • [24] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. JOURNAL OF DAIRY SCIENCE, 2007, 90 : 422 - 422
  • [25] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. POULTRY SCIENCE, 2007, 86 : 422 - 422
  • [26] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2007, 85 : 422 - 422
  • [27] Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil
    Bignardi, A. B.
    El Faro, L.
    Santana, M. L., Jr.
    Rosa, G. J. M.
    Cardoso, V. L.
    Machado, P. F.
    Albuquerque, L. G.
    [J]. LIVESTOCK SCIENCE, 2012, 150 (1-3) : 401 - 406
  • [28] Random regression test-day models for milk yield records, with different structure of residual variances
    El Faro, L
    De Albuquerque, LG
    [J]. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2003, 32 (05): : 1104 - 1113
  • [29] Definition of subgroups for fixed regression in the test-day animal model for milk production of Holstein cattle in the Czech Republic
    Zavadilová, L
    Nemcová, E
    Pribyl, J
    Wolf, J
    [J]. CZECH JOURNAL OF ANIMAL SCIENCE, 2005, 50 (01) : 7 - 13
  • [30] Single-step genomic evaluation using multitrait random regression model and test-day data
    Koivula, M.
    Stranden, I.
    Poso, J.
    Aamand, G. P.
    Mantysaari, E. A.
    [J]. JOURNAL OF DAIRY SCIENCE, 2015, 98 (04) : 2775 - 2784