OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Nuclear dynamics in Sclerotinia sclerotiorum
OpenAlex:
Identification and characterization of an NHP-biosyntheti...
OpenAlex:
Phenotypic Evaluation of Sunflower (Helianthus Annuus L.)...
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
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2 articles
predictive-breeding
Predictive breeding uses genomic data, statistical models, and machine learning to forecast the performance of plant varieties before they are grown, enabling breeders to select superior candidates earlier in the development process. This approach accelerates crop improvement by reducing the time and cost of traditional field trials, and allows scientists to optimize traits such as yield, disease resistance, and climate adaptability with greater precision across diverse growing conditions.
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climate-adaptation
Re-Engineering Resilience: Predictive Pheno-Metabolomics and Machin...
The fruits and vegetables you buy at the grocery store depend on crops bred for yesterday's clima...
crispr
Synergizing Genome Editing and Artificial Intelligence for Predicti...
The tomatoes, wheat, and corn you eat could soon be engineered to survive droughts, pack more nut...