Analysis of Factors Influencing Reproductive Performance of the Dairy Cow by Progesterone Assay in Milk-Fat

Claus, R.; Karg, H.; Zwiauer, D.; Butler, I. von; Pirchner, F.; Rattenberger, E.

doi:10.1016/s0007-1935(17)30586-9

Cited by 45 publications

(17 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PFI was also lower for cows in tie-stalls. Longer intervals to CLA and OOE in tie-stalls compared with loose-housing were also found by Claus et al (1983) and in another study by Ratnayake et al (1998) using partly the same material as in this study. Better fertility in the loose-housing system could be explained by a better opportunity for exercise and social interaction between cows.…”

Section: Discussionsupporting

confidence: 88%

Environmental effects on progesterone profile measures of dairy cow fertility

Petersson

Strandberg

Gustafsson³

et al. 2006

Animal Reproduction Science

View full text Add to dashboard Cite

Environmental effects on fertility measures early in lactation, such as the interval from calving to first luteal activity (CLA), proportion of samples with luteal activity during the first 60 days after calving (PLA) and interval to first ovulatory oestrus (OOE) were studied. In addition, traditional measurements of fertility, such as pregnancy to first insemination, number of inseminations per service period and interval from first to last insemination were studied as well as associations between the early and late measurements. Data were collected from an experimental herd during 15 years and included 1106 post-partum periods from 191 Swedish Holsteins and 325 Swedish Red and White dairy cows. Individual milk progesterone samples were taken twice a week until cyclicity and thereafter less frequently. First parity cows had 14.8 and 18.1 days longer CLA (LS-means difference) than second parity cows and older cows, respectively. Moreover, CLA was 10.5 days longer for cows that calved during the winter season compared with the summer season and 7.5 days longer for cows in tie-stalls than cows in loosehousing system. Cows treated for mastitis and lameness had 8.4 and 18.0 days longer CLA, respectively, compared with healthy cows. OOE was affected in the same way as CLA by the different environmental factors. PLA was a good indicator of CLA, and there was a high correlation (−0.69) between these two measurements. Treatment for lameness had a significant influence on all late fertility measurements, whereas housing was significant only for pregnancy to first insemination. All fertility traits were unfavourably associated with increased milk production. Regression of late fertility measurements on early fertility measurements had only a minor association with conception at first AI and interval from first to last AI for cows with conventional calving intervals, i.e. a 22 days later, CLA increased the interval from first to last insemination by 3.4 days. Early measurements had repeatabilities of 0.14-0.16, indicating a higher influence by the cow itself compared with late measurements, which had repeatabilities of 0.09-0.10. Our study shows that early fertility measurements have a possibility to be used in breeding for better fertility. To improve the early fertility of the cow, there are a number of important factors that have to be taken into account.

show abstract

Section: Discussionsupporting

confidence: 88%

Environmental effects on progesterone profile measures of dairy cow fertility

Petersson

Strandberg

Gustafsson³

et al. 2006

Animal Reproduction Science

View full text Add to dashboard Cite

show abstract

“…As milk yields have risen and body condition declined with more extreme Holstein breeds the number may now be lower, 71% was measured by Lopez et al (2005), so failure to observe oestrus is the most important factor preventing higher conception rates. Claus et al (1983) measured progesterone in milk fat in 123 cows from a number of farms to determine factors influencing fertility. The greatest influence on the cow fertility was management, with 32% of cycles detectable by progesterone not being recognised by the herdsman.…”

Section: Oestrus Detectionmentioning

confidence: 99%

Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection

Mottram

2016

Animal

View full text Add to dashboard Cite

Dairy cows are high value farm animals requiring careful management to achieve the best results. Since the advent of robotic and high throughput milking, the traditional few minutes available for individual human attention daily has disappeared and new automated technologies have been applied to improve monitoring of dairy cow production, nutrition, fertility, health and welfare. Cows milked by robots must meet legal requirements to detect healthy milk. This review focuses on emerging technical approaches in those areas of high cost to the farmer (fertility, metabolic disorders, mastitis, lameness and calving). The availability of low cost tri-axial accelerometers and wireless telemetry has allowed accurate models of behaviour to be developed and sometimes combined with rumination activity detected by acoustic sensors to detect oestrus; other measures (milk and skin temperature, electronic noses, milk yield) have been abandoned. In-line biosensors have been developed to detect markers for ovulation, pregnancy, lactose, mastitis and metabolic changes. Wireless telemetry has been applied to develop boluses for monitoring the rumen pH and temperature to detect metabolic disorders. Udder health requires a multisensing approach due to the varying inflammatory responses collectively described as mastitis. Lameness can be detected by walk over weigh cells, but also by various types of video image analysis and speed measurement. Prediction and detection of calving time is an area of active research mostly focused on behavioural change.Keywords: dairy cow, sensors, fertility, precision livestock farming, automation ImplicationsSince the introduction of robotic milking technologies to measure important parameters of cow health and fertility have moved from scientific concepts towards robust techniques routinely used on farms. There is still potential for developing new approaches but the main focus is on applying modelling to data sources that are already available such as tri-axial cow collars, in-line milk sensing and rumen telemetry. IntroductionIn the past century dairy farms have become larger, milk yields have risen, quality requirements have risen, labour has become less available and automated systems for milking and other farm tasks have become common all of these factors have created a need for automated monitoring of health and fertility. The first systems for recording milk yield electronically and allocating feed date back to the 1970s and automatic oestrus behaviour systems from the 1980s. As electronics have become cheaper and new sensing capabilities developed a variety of engineering options were reviewed for all animals by Frost et al. (1997). Mottram (1997) reviewed potential target disease conditions in dairy cows and identified parturition, mastitis and failures in nutrition as the most significant causes of loss. It was suggested that sensing should focus on the most directly measurable indicator of a condition such as rumen pH rather than proxy measures. Since then major developments have taken plac...

show abstract

“…This is a condition in which the genital organs are undergoing the normal cyclical changes but the behavioral signs of heat are not manifested ( Arthur 1973). It can be also defined as oestrus symptoms that were not observed by the stockman, but where progesterone measurements revealed a normal cyclic pattern ( Claus et al 1983). However, Schopper et al (1993) observed that progesterone concentration in cows with silent heat during peri‐oestrus were significantly elevated in comparison with cows with apparent heat, and this occurrence was obvious up to the fifth ovulation postpartum indicating endocrine determinant of silent heat during this period, beyond which, progesterone concentration did not differ in both groups ( Kalis and Van De Wiel 1980) suggesting that the late postpartum period silent heat is probably due to management failure.…”

Section: Clinical Forms Of Anoestrusmentioning

confidence: 99%

Anoestrus in Dairy Cows: Causes, Prevalence and Clinical Forms

Mwaanga¹,

Janowski²

2000

Reprod Domestic Animals

View full text Add to dashboard Cite

Contents This article reviews some of the recent advances in veterinary research regarding the causes, prevalence and clinical forms of pathological anoestrus in dairy cows. It is one of the few components responsible for occurrence of postpartum infertility in cattle, expressed in four clinical forms: silent heat, cystic ovarian disease, ovarian afunction and corpus luteum pseudograviditatis. The prevalence of these four forms in different herds is dependent on the managerial, environmental and nutritional status of the farm. Anything, regardless of its nature, that impedes the physiological mechanism involved in oestrus expression is liable to cause anoestrus. Nutrition (energy deficiency), interacted with other factors, is the major cause of this phenomenon (anoestrus). It has direct control of the postpartum anoestrus by negatively affecting the endocrine pathways responsible for proper functioning of the reproductive system through the blockage of pulsatile release of gonadotropin‐releasing hormone in the hypothalamus. Lack of proper training by the stockman substantially contributes to silent heat occurrence. Numerous attempts have been made to prevent or treat pathological anoestrus with exogenous hormones, or nonhormonal remedies like uterine palpation and infusion of Lugol's solution, all of which have produced variable but positive results. Specific treatment for each one of the four clinical forms is briefly outlined.

show abstract

Analysis of Factors Influencing Reproductive Performance of the Dairy Cow by Progesterone Assay in Milk-Fat

Cited by 45 publications

References 5 publications

Environmental effects on progesterone profile measures of dairy cow fertility

Environmental effects on progesterone profile measures of dairy cow fertility

Animal board invited review: precision livestock farming for dairy cows with a focus on oestrus detection

Anoestrus in Dairy Cows: Causes, Prevalence and Clinical Forms

Contact Info

Product

Resources

About