23 Sep 2020
Citrus rootstock evaluation

Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

The implementation of breeding methods requires the creation of a large and genetically diverse training population. Large-scale experiments are needed for the rapid acquisition of phenotypic data to explore the correlation between genomic and phenotypic information. Traditional sensing technologies forfield surveys and field phenotyping rely on manual sampling and are time consuming and labor intensive. Since availability of personnel trained for phenotyping is a major problem, small UAVs (unmanned aerial vehicles) equipped with various sensors can simplify the surveying procedure, decrease data collection time, and reduce cost.

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31 Oct 2019
Effect Silicon

Effect of silicon supply on growth and N, P and K accumulation by citrus rootstock seedlings

As with the N and K supply experiments, rootstock genotype was the major source of variation in shoot dry matter production under varying Si supply treatments, and volkameriana seedlings were more vigorous than seedlings of the other  three rootstock genotypes (Table 10). Overall, plants grown with 2 mM Si in the nutrient solution produced approximately one third less shoot dry matter compared to seedlings grown without added Si.

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