Natalia de León

This paper introduces a regression-based framework to predict flowering time from sparse UAV observations, reducing the need for repeated data collection.

Drone imagery from 356 flights in 19 Genomes to Fields maize environments; vegetation-index functional principal components complement genomic kernels, predicting yield of held-out hybrids at r up to 0.501.

This study examines competitive dynamics in maize varieties and finds limited competition effects, no yield penalty in mixtures, and increased yield stability.

The paper investigates how host genotype and environment interact to shape bacterial endophyte communities in maize stalks, finding that gene-by-environment interactions significantly influence microbial communities.

This paper introduces distributional data analysis to plant phenomics, showing it captures novel heritable features in cotton and maize imagery that improve yield prediction and explain genetic variation.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

This paper develops a framework to prioritize maize metabolic gene regulators by integrating multi-omic data, identifying over 3,000 TFs and predicting new regulators of hormone, developmental, and metabolic processes.

This paper describes a method to extend maize pollen viability and increase pollination efficiency by storing pollen mixed with a PEEK substrate at 6°C for up to nine days.

The paper develops a MAGIC population in maize to map flowering time and plant height, finding that predictive models perform better when trained on direct data rather than indirect data from hybrids.

This study characterizes sRNA variation and inheritance in maize inbreds and F1 hybrids, revealing genotype and developmental influences on sRNA expression and non-additive inheritance patterns.

The paper analyzes gene expression in maize hybrids and inbreds to show that single-parent expression is genotype- and tissue-specific, with implications for heterosis.

This study evaluates how different phenotyping methods affect GWAS results by simulating traits with varying heritability and causative loci, finding that lower heritability and more loci reduce AUCs.

This study identifies selection signatures in maize genes associated with reduced tassel size during hybrid breeding.

This study examines how genotype-by-environment interactions affect heterosis in maize hybrids and their inbred parents across 16 environments and 25 traits.