journal article·2025-08-22Open access

Establishing Leaf Tissue Nutrient Standards and Documenting Nutrient Disorder Symptomology of Greenhouse-Grown Cilantro (Coriandrum sativum)

Danielle Clade, Patrick Veazie, Jennifer Boldt, Kristin Hicks, Christopher Currey, Nicholas Flax, Kellie Walters, Brian Whipker

Applied Sciences· Volume 15· Issue 17

Abstract

Cilantro (Coriandrum sativum L.) is a popular annual culinary herb grown for its leaves or seeds. With the increase in hydroponic herb production in controlled environments, a need exists for leaf tissue nutrient standards specific to this production system. The objective of this study was to develop comprehensive foliar mineral nutrient interpretation ranges for greenhouse-grown cilantro. Cilantro plants were grown in a hydroponic sand culture system to induce and document nutritional disorders. Plants were supplied with a modified Hoagland’s solution, which was adjusted to individually add or omit one nutrient per treatment while holding all others constant. Deficiency and toxicity symptoms were photographed, after which the plant tissue was collected to determine plant dry weight and critical tissue nutrient concentrations. Nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulfur (S), boron (B), iron (Fe), and zinc (Zn) deficiencies, as well as B toxicity, were induced. Deficiencies of copper (Cu), manganese (Mn), and molybdenum (Mo) were not observed during the experiment. Additional foliar tissue analysis data (n = 463) were compiled to create nutrient interpretation ranges for 12 essential elements based on a hybrid meta-analysis Sufficiency Range Approach (SRA). This approach defines ranges for deficient, low, sufficient, high, and excessive values. For each element, the optimal distribution was selected according to the lowest Bayesian Information Criterion (BIC) value. A Normal distribution best represented K and S. A Gamma distribution best represented P, Ca, Mn, and Mo, whereas a Weibull distribution best represented N, Mg, B, Cu, Fe, and Zn. These interpretation ranges, along with descriptions of typical symptomology and critical tissue nutrient concentrations, provide useful tools for both diagnosing nutritional disorders and interpreting foliar nutrient analysis results of greenhouse-grown cilantro.
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Research context

OpenAlex topics: Banana Cultivation and Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Horticultural Science, North Carolina State University, 2721 Founders Drive, Kilgore Hall, Raleigh, NC 27695, USA

Application Technology Research Unit, United States Department of Agriculture, Agricultural Research Service, 2801 W. Bancroft St., Mail Stop 604, Toledo, OH 43606, USA

Agronomic Division, North Carolina Department of Agriculture & Consumer Services, Raleigh, NC 27607, USA

Department of Horticulture, Iowa State University, 2206 Osborn Drive, 106 Horticulture Hall, Ames, IA 50011, USA

Funding

USDA Specialty Crop Research Initiative

References (32)

Show source-provided references
1. Nau, J., Calkins, B., and Westbrook, A. (2021). Ball RedBook, Ball Publishing. [19th ed.].
2. Ramadan, M.F. (2023). Coriander cultivation and agricultural practices. Handbook of Coriander (Coriandrum sativum), CRC Press. [1st ed.].10.1201/9781003204626 ↗
3. Yield and yield components of coriander under different sowing dates and seed rates in tropical environment
4. Ramadan, M.F. (2023). Greenhouse production of coriander. Handbook of Coriander (Coriandrum sativum), CRC Press. [1st ed.].10.1201/9781003204626 ↗
5. Performance of leafy vegetables under protected environment and open field condition
6. Cilantro (Coriandrum sativum)
7. Nutrient uptake, biomass yield and quantitative analysis of aliphatic aldehydes in cilantro plants10.1016/j.indcrop.2012.11.004 ↗
8. Copper-induced changes in growth, photosynthesis, antioxidative system activities and lipid metabolism of cilantro (Coriandrum sativum L.)10.2478/s11756-020-00419-9 ↗
9. Currey, C.J., Walters, K.J., and Flax, N.J. (2019). Nutrient solution strength does not interact with the daily light integral to affect hydroponic cilantro, dill, and parsley growth and tissue mineral nutrient concentrations. Agronomy, 9.10.3390/agronomy9070389 ↗
10. Growth, production and water consumption of coriander grown under different recirculation intervals and nutrient solution depths in hydroponic channels10.9755/ejfa.2020.v32.i4.2094 ↗
11. Frequency of recirculation of nutrient solution in hydroponic cultivation of coriander with brackish water10.1590/1807-1929/agriambi.v20n5p447-454 ↗
12. Bryson, G.M., and Mills, H.A. (2015). Plant Analysis Handbook IV, Micro-Macro Publishing, Inc.. [e-Edition].
13. Kitchen, H.B. (1948). Plants analysis–methods and interpretation of results. Diagnostic Techniques for Soils and Crops, American Potash Institute.
14. Beaufils, E.R. (1973). Diagnosis and Recommendation Integrated System (DRIS); Soil Science Bulletin, University of Natal.
15. Comparison of diagnosis and recommendation integrated system and nutrient sufficiency range for corn10.2136/sssaj1995.03615995005900010021x ↗
16. A data-driven approach for generating leaf tissue nutrient interpretation ranges for greenhouse lettuce10.21273/HORTSCI17582-23 ↗
17. Pentas: A data-driven approach for generating leaf tissue nutrient interpretation ranges10.1080/01904167.2024.2405637 ↗
18. Hoagland, D.R., and Arnon, D.I. (1950). The Water-Culture Method for Growing Plants Without Soil, Circular: California Agricultural Experiment Station. [2nd ed.].
19. Nutrient disorders of ‘Evolution’ mealy-cup sage10.21273/HORTTECH.22.4.502 ↗
20. Veazie, P., Pandey, P., Young, S., Ballance, M., and Whipker, B. (2022). Impact of macronutrient fertility on mineral uptake and growth of Lactuca sativa ‘Salanova Green’ in a hydroponic system. Horticulturae, 8.10.3390/horticulturae8111075 ↗
21. Petunia (Petunia × hybrida) cultivars vary in silicon accumulation and distribution10.21273/HORTSCI15486-20 ↗
22. Gypsum endemics accumulate excess nutrients in leaves as a potential constitutive strategy to grow in grazed extreme soils10.1111/ppl.13738 ↗
23. Comparison of potato (Solanum tuberosum L.) tuber size distribution fitting methods and evaluation of the relationship between soil properties and estimated distribution parameters10.1017/S0021859621000952 ↗
24. Dynamic critical potassium concentrations in soybean leaves and petioles for monitoring potassium nutrition10.1002/agj2.20819 ↗
25. A statistical distribution function of wide applicability10.1115/1.4010337 ↗
26. The split-apply-combine strategy for data analysis10.18637/jss.v040.i01 ↗
27. On the histogram as a density estimator:L2 theory
28. Marschner, H. (1995). Mineral Nutrition of Higher Plants, Academic Press. [2nd ed.].
29. Li, X., Hu, X., Song, S., and Sun, D. (2022). Greenhouse management for better vegetable quality, higher nutrient use efficiency, and healthier soil. Horticulturae, 8.10.3390/horticulturae8121192 ↗
30. Sonneveld, C., and Voogt, W. (2009). Plant Nutrition of Greenhouse Crops, Springer.10.1007/978-90-481-2532-6 ↗
31. Kabata-Pendias, A. (2010). Trace Elements in Soils and Plants, CRC Press. [4th ed.].10.1201/b10158 ↗
32. Micro nutrient toxicity in French marigold10.1080/01904169609365169 ↗