1
|
Chen Y, Steeneveld W, Nielen M, Hostens M. Prediction of persistency for day 305 of lactation at the moment of the insemination decision. Front Vet Sci 2023; 10:1264048. [PMID: 38033631 PMCID: PMC10687408 DOI: 10.3389/fvets.2023.1264048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023] Open
Abstract
When deciding on the voluntary waiting period of an individual cow, it might be useful to have insight into the persistency for the remainder of that lactation at the moment of the insemination decision, especially for farmers who consider persistency in their reproduction management. Currently, breeding values for persistency are calculated for dairy cows but, to our knowledge, prediction models to accurately predict persistency at different moments of insemination are lacking. This study aimed to predict lactation persistency for DIM 305 at different insemination moments (DIM 50, 75, 100, and 125). Available cow and herd level data from 2005 to 2022 were collected for a total of 20,508 cows from 85 herds located in the Netherlands and Belgium. Lactation curve characteristics were estimated for every daily record using the data up to and including that day. Persistency was defined as the number of days it takes for the milk production to decrease by half during the declining stage of lactation, and calculated from the estimated lactation curve characteristic 'decay'. Four linear regression models for each of the selected insemination moment were built separately to predict decay at DIM 305 (decay-305). Independent variables included the lactation curve characteristics at the selected insemination moment, daily milk yield, age, calving season, parity group and other herd variables. The average decay-305 of primiparous cows was lower than that of multiparous cows (1.55 *10-3 vs. 2.41*10-3, equivalent to a persistency of 447 vs. 288 days, respectively). Results showed that our models had limitations in accurately predicting persistency, although predictions improved slightly at later insemination moments, with R2 values ranging between 0.27 and 0.41. It can thus be concluded that, based only on cow and herd milk production information, accurate prediction of persistency for DIM 305 is not feasible.
Collapse
Affiliation(s)
- Yongyan Chen
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | | | | | | |
Collapse
|
2
|
Abstract
This review deals with the prospects and achievements of individual dairy cow management (IDCM) and the obstacles and difficulties encountered in attempts to successfully apply IDCM into routine dairy management. All aspects of dairy farm management, health, reproduction, nutrition and welfare are discussed in relation to IDCM. In addition, new IDCM R&D goals in these management fields are suggested, with practical steps to achieve them. The development of management technologies is spurred by the availability of off-the-shelf sensors and expanded recording capacity, data storage, and computing capabilities, as well as by demands for sustainable dairy production and improved animal wellbeing at a time of increasing herd size and milk production per cow. Management technologies are sought that would enable the full expression of genetic and physiological potential of each cow in the herd, to achieve the dairy operation's economic goals whilst optimizing the animal's wellbeing. Results and conclusions from the literature, as well as practical experience supported by published and unpublished data are analyzed and discussed. The object of these efforts is to identify knowledge and management routine gaps in the practical dairy operation, in order to point out directions and improvements for successful implementation of IDCM in the dairy cows' health, reproduction, nutrition and wellbeing.
Collapse
|
3
|
Monção FP, Santana PF, Júnior VRR, Ruas JRM, Rigueira JPS, Borges LDA, de Castro Menezes GC, Sousa TES, da Costa MD, Oliveira LLS, de Queiroz FE. Nutritional efficiency of feed-restricted F1 Holstein/Zebu cows in early lactation. Trop Anim Health Prod 2019; 52:141-149. [PMID: 31301040 DOI: 10.1007/s11250-019-01994-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 06/21/2019] [Indexed: 11/30/2022]
Abstract
The quantitative feed restriction of lactating cows has been used in intensive production systems as a strategy to reduce production costs. However, the effects of this restriction in F1 Holstein/Zebu cows are unclear. The objective of this work was to evaluate the effect of quantitative feed restriction on nutrient intake and digestibility, nitrogen balance, feed efficiency, feed behavior, and productive performance in F1 Holstein/Zebu cows during early lactation. Sixty F1 Holstein × Zebu cows were used at the stage of initial lactation (50 ± 13 days of lactation), and they had an initial body weight (BW) of 482 ± 43 kg. The experimental arrangement adopted was a completely randomized design, with five feed restriction levels (3.39, 2.75, 2.50, 2.25, and 2.00% of BW) and 12 cows in each treatment group. In the short term (63 days), there were reductions of 45.9% and 47.2% in dry matter intake (P < 0.01) and crude protein (P < 0.01), respectively, when the diet supply was limited from 3.39% BW to 2.00% of BW. There were declines in intake of ether extract (P < 0.01) and nonfibrous carbohydrates (P < 0.01), but there was no change in daily milk production (P = 0.44) nor the daily milk production corrected to 3.5% fat (P = 0.12); the averages were 14.01 kg/day and 13.25 kg/day, respectively. Considering the lower body weight loss, feed restriction is recommended up to 2.5% of the BW.
Collapse
Affiliation(s)
- Flávio Pinto Monção
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil.
| | - Pedro Felipe Santana
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Vicente Ribeiro Rocha Júnior
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - José Reinaldo Mendes Ruas
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - João Paulo Sampaio Rigueira
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Lucas Daniel Alcântara Borges
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Gustavo Chamon de Castro Menezes
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Thais Eleonora Santos Sousa
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Maria Dulcinéia da Costa
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Laura Lúcia Santos Oliveira
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| | - Fausto Expedito de Queiroz
- Department of Animal Science and Technology, State University of Montes Claros, Avenue Reinaldo Viana, Janaúba, Minas Gerais, 2630, Brazil
| |
Collapse
|
4
|
Henriksen J, Munksgaard L, Weisbjerg M. Short-term responses in production and behavior during periods of change in concentrate allowance for dairy cows. J Dairy Sci 2018; 101:7942-7953. [DOI: 10.3168/jds.2018-14624] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 05/01/2018] [Indexed: 11/19/2022]
|
5
|
Maciel GDM, Mogensen L, Lehmann JO, Kidmose U, Kristensen T, Larsen LB, Poulsen NA. Impaired milk quality and cheese making properties is not a concern for managing cows for 15 or 18 months calving intervals. Int Dairy J 2017. [DOI: 10.1016/j.idairyj.2016.12.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
6
|
Gaillard C, Martin O, Blavy P, Friggens N, Sehested J, Phuong H. Prediction of the lifetime productive and reproductive performance of Holstein cows managed for different lactation durations, using a model of lifetime nutrient partitioning. J Dairy Sci 2016; 99:9126-9135. [DOI: 10.3168/jds.2016-11051] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 07/14/2016] [Indexed: 11/19/2022]
|
7
|
Maciel G, Poulsen N, Larsen M, Kidmose U, Gaillard C, Sehested J, Larsen L. Good sensory quality and cheesemaking properties in milk from Holstein cows managed for an 18-month calving interval. J Dairy Sci 2016; 99:8524-8536. [DOI: 10.3168/jds.2016-10958] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 07/15/2016] [Indexed: 11/19/2022]
|
8
|
Hammond KJ, Jones AK, Humphries DJ, Crompton LA, Reynolds CK. Effects of diet forage source and neutral detergent fiber content on milk production of dairy cattle and methane emissions determined using GreenFeed and respiration chamber techniques. J Dairy Sci 2016; 99:7904-7917. [PMID: 27522422 DOI: 10.3168/jds.2015-10759] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 06/30/2016] [Indexed: 11/19/2022]
Abstract
Strategies to mitigate greenhouse gas emissions from dairy cattle are unlikely to be adopted if production or profitability is reduced. The primary objective of this study was to examine the effects of high maize silage (MS) versus high grass silage (GS) diets, without or with added neutral detergent fiber (NDF) on milk production and methane emission of dairy cattle, using GreenFeed (GF) or respiration chamber (RC) techniques for methane emission measurements. Experiment 1 was 12wk in duration with a randomized block continuous design and 40 Holstein cows (74d in milk) in free-stall housing, assigned to 1 of 4 dietary treatments (n=10 per treatment), according to calving date, parity, and milk yield. Milk production and dry matter intake (DMI) were measured daily, and milk composition measured weekly, with methane yield (g/kg of DMI) estimated using a GF unit (wk 10 to 12). Experiment 2 was a 4×4 Latin square design with 5-wk periods and 4 dairy cows (114d in milk) fed the same 4 dietary treatments as in experiment 1. Measurements of DMI, milk production, and milk composition occurred in wk 4, and DMI, milk production, and methane yield were measured for 2d in RC during wk 5. Dietary treatments for both experiments were fed as total mixed rations offered ad libitum and containing 500g of silage/kg of dry matter composed (DM basis) of either 75:25 MS:GS (MS) or 25:75 MS:GS (GS), without or with added NDF from chopped straw and soy hulls (+47g of NDF/kg of dry matter). In both experiments, compared with high GS, cows fed high MS had a higher DMI, greater milk production, and lower methane yield (24% lower in experiment 1 using GF and 8% lower in experiment 2 using RC). Added NDF increased (or tended to increase) methane yield for high MS, but not high GS diets. In the separate experiments, the GF and RC methods detected similar dietary treatment effects on methane emission (expressed as g/d and g/kg of DMI), although the magnitude of the differences varied between experiments. Overall methane emission and yield were 448g/d and 20.9g/kg of DMI for experiment 1 using GF and 458g/d and 23.8g/kg of DMI for experiment 2 using RC, respectively.
Collapse
Affiliation(s)
- K J Hammond
- Sustainable Agriculture and Food Systems Research Division, Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Earley Gate, Reading, RG6 6AR, UK
| | - A K Jones
- Sustainable Agriculture and Food Systems Research Division, Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Earley Gate, Reading, RG6 6AR, UK
| | - D J Humphries
- Sustainable Agriculture and Food Systems Research Division, Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Earley Gate, Reading, RG6 6AR, UK
| | - L A Crompton
- Sustainable Agriculture and Food Systems Research Division, Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Earley Gate, Reading, RG6 6AR, UK
| | - C K Reynolds
- Sustainable Agriculture and Food Systems Research Division, Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Earley Gate, Reading, RG6 6AR, UK.
| |
Collapse
|