The Master of Science in Plant Breeding Research at Lincoln University is a research-led postgraduate degree focused on developing practical and theoretical skills for crop improvement. It suits graduates with a strong background in plant science, genetics, agronomy or related disciplines who want to pursue research or technical careers in breeding, genetics and seed systems.
What you'll study
This research-based master's concentrates on core principles and methods used in modern plant breeding. Students typically undertake a programme that combines advanced coursework with an independent research project leading to a thesis.
- Advanced quantitative genetics and population genetics — topics include heritability, genetic variance components, inbreeding, and selection theory as applied to crop and pasture species.
- Plant breeding methods — conventional and contemporary approaches such as hybridisation, recurrent selection, marker-assisted selection and genomic selection.
- Molecular tools and genomics — marker systems, next-generation sequencing basics, and the use of molecular data in selection and variety development.
- Experimental design and biometry — design of field and glasshouse experiments, analysis of multi-environment trials and use of statistical software for mixed-model analysis.
- Crop physiology and trait evaluation — assessment of target traits (yield, quality, disease resistance, abiotic stress tolerance) and phenotyping methods.
- Research project and thesis — a supervised original research project that applies breeding methods to a chosen crop or trait, including literature review, experimental work, data analysis and thesis write-up.
Entry requirements
Applicants are usually expected to hold a relevant bachelor’s degree with honours or an equivalent qualification in plant science, agronomy, genetics, horticulture, biology or a closely related field. A demonstrated background in genetics, statistics and experimental work is highly desirable.
- Academic transcript showing a strong performance in relevant undergraduate or postgraduate coursework.
- A research proposal or statement of research interests outlining intended research topic and objectives.
- Agreement from a potential supervisor within the school is often required or strongly encouraged before enrolment.
- For applicants whose prior study was not in English, evidence of English language proficiency is required in line with university policy.
- Where applicable, applicants with substantial relevant professional experience in breeding, seed systems or crop research may be considered.
Career prospects
Graduates from this programme are prepared for research and technical roles across the plant breeding and crop improvement sectors. Typical career destinations include:
- Plant breeder or breeding programme manager in private seed companies or public breeding organisations.
- Research scientist in universities, government research institutes or crown research entities.
- Positions in agribusiness, crop management and seed certification agencies focusing on variety development and deployment.
- Consultancy roles in crop improvement, germplasm evaluation and trait screening.
- Progression to doctoral study (PhD) for those aiming for a career in academic research or senior scientific leadership.
Why study at Lincoln University
Lincoln University has a long-standing emphasis on land-based sciences and practical agricultural research, offering students access to specialist facilities such as experimental farms, glasshouses and laboratory support. The university’s location in Canterbury provides diverse growing conditions for field-based research and close links with regional agribusiness and research organisations.
- Strong links with industry and research partners support applied projects and opportunities for collaboration.
- Small cohort sizes and close supervision provide hands-on training and personalised research mentorship.
- Interdisciplinary expertise in plant science, agronomy and data analysis helps students integrate breeding methods with modern genomics and statistical approaches.
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