Pilar Martinez‐Martin

ORCID: 0000-0002-5859-6113
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About
Contact & Profiles
Research Areas
  • Metabolomics and Mass Spectrometry Studies
  • Genetic Mapping and Diversity in Plants and Animals
  • Nutritional Studies and Diet
  • Tea Polyphenols and Effects
  • Food composition and properties
  • Genetics and Plant Breeding
  • Genetic and phenotypic traits in livestock
  • Gut microbiota and health
  • Remote Sensing in Agriculture
  • Tryptophan and brain disorders
  • Wheat and Barley Genetics and Pathology
  • Fermentation and Sensory Analysis
  • Crop Yield and Soil Fertility
  • Leaf Properties and Growth Measurement

Aberystwyth University
2019-2025

Institute of Biological, Environmental and Rural Sciences
2019-2022

Background/Objectives: Dartmoor Estate Tea plantation in Devon, UK, is renowned for its unique microclimate and varied soil conditions, which contribute to the distinctive flavours chemical profiles of tea. The diversity fresh leaf samples from various garden locations was explored within plantation. Methods: Fresh leaf, differed by location, cultivar, time day, variety, analysed using Flow Infusion Electrospray Ionisation Mass Spectrometry (FIE-MS). Results: Random forest classification...

10.3390/metabo15010052 article EN cc-by Metabolites 2025-01-15

Background/Objectives: Cardiovascular diseases remain a leading cause of mortality and morbidity, dyslipidaemia is one the major risk factors. The widespread use herbs medicinal plants in traditional medicine has garnered increasing recognition as valuable resource for wellness reducing onset disease. Several epidemiologic clinical studies have shown that altering blood lipid profiles maintaining gut homeostasis may protect against cardiovascular diseases. Methods: A randomised,...

10.3390/metabo15020139 article EN cc-by Metabolites 2025-02-19

The extent to which the quality and yield of plant varieties are influenced by environment is important for their successful uptake end users particularly as climatic fluctuations resulting in environments that highly variable from one growing season another. genotype-by-environment interaction (GEI) milling was studied using four winter oat multi-locational trials over 4 years U.K. Significant differences across 22 were found between physical grain composition well yield, with having a...

10.3390/foods10102356 article EN cc-by Foods 2021-10-03

Oats (Avena sativa L.) are a healthy food, being high in dietary fibre (e.g. β-glucans), antioxidants, minerals, and vitamins. Understanding the effect of variety crop management on nutritional quality is important. The response four oat varieties to increased nitrogen levels was investigated across multiple locations years with respect yield, grain metabolites (assessed via GC- LC- MS). A novel high-resolution UHPLC-PDA-MS/MS method developed, providing improved metabolite enrichment,...

10.1016/j.foodchem.2021.129585 article EN cc-by Food Chemistry 2021-03-18

Oats (Avena sativa L.) are a whole grain cereal recognised for their health benefits and which cultivated largely in temperate regions providing both source of food humans animals, as well being used cosmetics potential treatment number diseases. known high dietary fibre (e.g. β-glucans), antioxidants, minerals vitamins. Recently, oats have been gaining increased global attention due to large beneficial effects. Consumption has proven lower blood LDL cholesterol levels pressure, thus...

10.1007/s11306-019-1501-x article EN cc-by Metabolomics 2019-03-01

A barrier to the adoption of genomic prediction in small breeding programs is initial cost genotyping material. Although decreasing, marker costs are usually higher than field trial costs. In this study we demonstrate utility stratifying a narrow-base biparental oat population genotyped with modest number markers employ at early and later generations. We also show that generation data can reduce lines for phenotyping based on selections siblings progress. Using sets families selected an...

10.1002/tpg2.20004 article EN cc-by The Plant Genome 2020-03-01

Rosette morphology across Arabidopsis accessions exhibits considerable variation. Here we report a high-throughput phenotyping approach based on automatic image analysis to quantify rosette shape and dissect the underlying genetic architecture. Shape measurements of rosettes in core set Recombinant Inbred Lines from an advanced mapping population (Multiparent Advanced Generation Inter-Cross or MAGIC) derived inter-crossing 19 natural accessions. Image acquisition was scaled extract geometric...

10.1371/journal.pone.0263985 article EN cc-by PLoS ONE 2022-02-16
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