Publications by authors named "Lucia Sandra Perez-Borroto"
Article Synopsis
- - High throughput image-based phenotyping allows researchers to analyze plant development and performance non-invasively, capturing traits like biomass and photosynthetic efficiency using various imaging sensors.
- - In a study on potato plants (cv. Lady Rosetta), researchers tested responses to different stress treatments (control, drought, heat, waterlogging, and combinations) to understand how plants react to overlapping environmental challenges.
- - Results indicated that waterlogging was the most harmful stress, causing rapid physiological changes, while all stresses negatively affected growth and photosynthesis, highlighting the importance of this technology for studying plant resilience to climate change.
Drought severely affects soybean productivity, challenging breeding/management strategies to increase crop resilience. Hormone-based biostimulants like brassinosteroids (BRs) modulate growth/defence trade-off, mitigating yield losses; yet, natural molecule's low stability challenges the development of cost-effective and long-lasting analogues. Here, we investigated for the first time the effects of BR functional analogue DI-31 in soybean physiology under drought by assessing changes in growth, photosynthesis, water relations, antioxidant metabolism, nodulation, and nitrogen homeostasis.
View Article and Find Full Text PDFIdentifying high-yield genotypes under low water availability is essential for soybean climate-smart breeding. However, a major bottleneck lies in phenotyping, particularly in selecting cost-efficient markers associated with stress tolerance and yield stabilization. Here, we conducted in-depth phenotyping experiments in two soybean genotypes with contrasting drought tolerance, MUNASQA (tolerant) and TJ2049 (susceptible), to better understand soybean stress physiology and identify/statistically validate drought-tolerance and yield-stabilization traits as potential breeding markers.
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