Using precision livestock farming for dairy herd management

被引:3
|
作者
Loucka, Radko [1 ]
Jancik, Filip [1 ]
Kumprechtova, Dana [1 ]
Koukolova, Veronika [1 ]
Kubelkova, Petra [1 ]
Tyrolova, Yvona [1 ]
Vyborna, Alena [1 ]
Joch, Miroslav [1 ]
Jambor, Vaclav [2 ]
Synkova, Hana [2 ]
Mala, Soma [2 ]
Nedelnik, Jan [3 ]
Lang, Jaroslav [3 ]
Homolka, Petr [1 ,4 ]
机构
[1] Inst Anim Sci, Prague, Czech Republic
[2] NutriVet Ltd, Pohorelice, Czech Republic
[3] Agr Res Ltd Troubsko, Troubsko, Czech Republic
[4] Czech Univ Life Sci Prague, Dept Microbiol Nutr & Dietet, Prague, Czech Republic
关键词
ruminant nutrition; rumination; rumen pH measuring bolus; milk yield; COWS; BREED; TIME;
D O I
10.17221/180/2022-CJAS
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The aim of this study was to validate selected precision livestock farming (PLF) methods of nutrition and feeding management of high-yielding Holstein dairy cows. In a feeding trial with 36 dairy cows, the effect of replacing 0.1 kg of sodium bicarbonate in the control total mixed ration (TMR-C) with 1 kg of wheat straw in the experimental total mixed ration (TMR-S) on the physiological status of cows and the amount of milk produced (milk yield, MY) was investigated. Feed intake time (FT), as measured using tensometric feed troughs (TFT), was significantly longer with TMR-S (188 min) than with TMR-C (157 min). Differences between TMR-C and TMR-S were not significant for FT or rumination time (RT), as measured by a sensor in the collar (VSC). There was only a weak correlation between the two technologies (TFT vs. VSC) for FT (r = 0.27). Differences between TMR-C and TMR-S were not significant for values measured in rumen fluid (pH, acid and ammonia levels) nor for values measured by sensors in the milking parlour (MY, fat and protein percentage of milk). Milk analysis in the laboratory showed that the cows fed TMR-C had higher urea (26.6 vs. 22.7 mg/100 ml) and free fatty acid (0.87 vs. 0.33 mmol/100 g) levels in milk. Moderate correlations were between TMR intake and MY (r = 0.55); between MY and milk fat (r =-0.46); between milk fat and milk protein (r = 0.63); and between milk fat and milk protein measured by sensors and in the laboratory (r = 0.47 and r = 0.42, respectively). In view of the above results, further research and data validation for each technology are needed.
引用
收藏
页码:111 / 121
页数:11
相关论文
共 50 条
  • [21] Influence of precision livestock farming on the environmental performance of intensive dairy goat farms
    Pardo, Guillermo
    del Prado, Agustín
    Fernández-Álvarez, Javier
    Yáñez-Ruiz, David R.
    Belanche, Alejandro
    Journal of Cleaner Production, 2022, 351
  • [22] Review: Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming
    Vaintrub, M. Odintsov
    Levit, H.
    Chincarini, M.
    Fusaro, I
    Giammarco, M.
    Vignola, G.
    ANIMAL, 2021, 15 (03)
  • [23] A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production
    Lovarelli, Daniela
    Bacenetti, Jacopo
    Guarino, Marcella
    JOURNAL OF CLEANER PRODUCTION, 2020, 262
  • [24] POSSIBILITIES OF PROCESS-CONTROL IN LIVESTOCK MANAGEMENT DEMONSTRATED BY DAIRY FARMING
    ARTMANN, R
    SCHLUNSEN, D
    SCHON, H
    ZUCHTUNGSKUNDE, 1981, 53 (05): : 301 - 314
  • [25] Contribution of Precision Livestock Farming Systems to the Improvement of Welfare Status and Productivity of Dairy Animals
    Simitzis, Panagiotis
    Tzanidakis, Christos
    Tzamaloukas, Ouranios
    Sossidou, Evangelia
    DAIRY, 2022, 3 (01) : 12 - 28
  • [26] Review: Environmental impact of livestock farming and Precision Livestock Farming as a mitigation strategy
    Tullo, Emanuela
    Finzi, Alberto
    Guarino, Marcella
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 : 2751 - 2760
  • [27] Precision livestock farming applied to grazingland monitoring and management-A review
    Bretas, Igor L.
    Dubeux, Jose C. B.
    Cruz, Priscila J. R.
    Oduor, Kenneth T.
    Queiroz, Luana D.
    Valente, Domingos S. M.
    Chizzotti, Fernanda H. M.
    AGRONOMY JOURNAL, 2024, 116 (03) : 1164 - 1186
  • [28] Crop-livestock interactions and establishing feed autonomy for a dairy cow herd in an organic farming system
    Fiorelli, J-L
    Trommenschlager, J. M.
    Lave, R.
    Echampard, L.
    Godfroy, M.
    Bazard, C.
    FOURRAGES, 2018, (235): : 169 - 173
  • [29] Precision livestock farming (PLF) - Preface
    Berckmans, Daniel
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2008, 62 (01) : 1 - 1
  • [30] Recent Advancements in Precision Livestock Farming
    Liu, Gang
    Guo, Hao
    Ruchay, Alexey
    Pezzuolo, Andrea
    AGRICULTURE-BASEL, 2023, 13 (09):