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- Published: 3rd October 2026
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Personal statement example
On my second week as a milk-recording clerk at a dairy cooperative, I found the same cow listed under two different ear tag numbers on one farmer's sheet. Sorting it out took an afternoon of phone calls and a visit to the farm, but it taught me something I have thought about ever since: a breeding decision can only be as good as the records behind it. I now want to study animal genetics and breeding at postgraduate level so that I can work on the methods that turn those records into sound selection.
My undergraduate degree in Animal Production gave me a broad base in nutrition, physiology and livestock management, but the units I enjoyed most were quantitative genetics and biostatistics. The idea that an observed trait can be separated into genetic and environmental parts, and that heritability tells a breeder how much response to expect from selection, made sense of many things I had seen growing up around my family's chickens. For my final-year project I used five years of kidding records from the university's goat flock to estimate the heritability of birth weight. Cleaning the data took longer than the analysis: I had to remove kids with missing dam records and decide how to treat twins. Using a simple sire model, I obtained a moderate heritability estimate with a wide standard error, which I discussed honestly as a consequence of the small number of sires. My supervisor's comment that the most useful part of the report was the section on data limitations has stayed with me.
Since graduating I have worked for two years recording milk yields for smallholder members of a dairy cooperative. I visit farms on a monthly cycle, check that animals are correctly identified, take readings and enter them into the cooperative's database. The work is routine, but it has shown me how difficult consistent recording is when herds are small, cows change hands and farmers have little time. I have helped introduce a printed checklist for new members, which has reduced the number of sheets returned with missing identification. I have also listened to farmers explain why they choose certain bulls through artificial insemination, often on price or a neighbour's advice rather than on any breeding value. That gap between available information and everyday decisions is one I would like to understand better.
At home I help my mother manage about two hundred improved indigenous chickens. I keep the egg and mortality records and have started noting which hens go broody most often, mainly out of curiosity about whether broodiness runs in families. This is not research, but it keeps me thinking about traits that matter to farmers and are rarely measured.
To prepare for further study I have been working through an introductory textbook on quantitative genetics in the evenings and teaching myself R, using my project data to practise fitting mixed models. I understand the basic logic of estimated breeding values and best linear unbiased prediction, though I know I need formal training to apply them properly and to understand how genomic information is now being added to these evaluations.
Outside work I sing in my church choir, which has taught me patience during long rehearsals and the value of turning up reliably every week, much like recording.
Through a master's degree I hope to gain rigorous skills in genetic evaluation, experimental design and the analysis of field data, especially from smallholder systems where pedigrees are incomplete. In the longer term I would like to work with a breeding programme or cooperative, helping to design recording schemes that farmers can sustain and that produce data good enough to support real genetic improvement. I bring practical experience of how records are collected, a careful approach to data and a strong willingness to learn the statistical methods the work demands.