Detection of Abnormal Recordings in Irish Milk Recorded Data

N Quinn - Whelton, Lynn Killen, Frank Buckley

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)


    The objective of this study was to detect abnormal recordings of milk yield, fat concentration and protein concentration in Irish milk recorded data. The data consisted of 14,956 records from both commercial and experimental herds with 92% of the recordings recorded manually and the remainder recorded electronically. The method used in this paper is a modified version of the method employed by the Animal Improvement Programs Laboratory in Maryland, USA and abides by the guidelines outlined by the International Committee of Animal Recording. The results illustrate the effectiveness of detecting abnormal recordings in Irish milk records. The method described in this paper, defines the upper and lower limits for each production trait and these limits along with the slope parameters are used to determine if a recording is abnormal or not. Three percent of milk yield recordings, 5% of fat concentration recordings and less than 1% of protein concentration recordings were found to be abnormal. The proportion of values declared abnormal in manually recorded and electronically recorded data were examined and found to be significantly different for fat concentration.
    Original languageEnglish
    Pages (from-to)117-127
    JournalIrish Journal of Agricultural and Food Research
    Publication statusPublished - 2007


    Dive into the research topics of 'Detection of Abnormal Recordings in Irish Milk Recorded Data'. Together they form a unique fingerprint.

    Cite this