What is more reliable for establishing optimum leaf nutrient concentrations of plants, particularly trees? The focus is on boundary-line approach and compositional nutrient diagnosis norms.
- "More reliable" requires a baseline comparison method, so what are you considering to be your standard method?
-When you say boundary-line do you mean a physical boundary of a tree plantation, or an asymptotic line drawn on a graph of nutrient concentration vs yield?
I suspect you will find as many answers as there are crop tree species, as each has it's own range of nutrient requirements at critical points in the annual cycle of flowering, fruiting and senescence.
The boundary line approach improves the efficiency of plant analysis as it can be better adapted to regional site conditions. You can derive nutrient sufficiency ranges and nutrient relationships without the need for costly and time consuming calibration tests. But it should be considered that it is only valid if there is a cause and response (effect) relationship between two variables like yield and single nutrients.
If you want to derive critical foliar deficiency concentrations de novo, that is very different from starting with evidence from existing data bases, e.g. Pant Analysis Handbook IV, and refining that information. Such 'sufficiency' levels are typically for 'well-performing' crops, i.e. the size of the gap between the lower end of the sufficiency range, and deficiency, is unknown.
If there are no data for your chosen species, then take guidance from the nearest botanical relative for which data are known. That guidance will likely include sampling guidelines.
My definition of a critical level is that it can only usefully be estimated when all other elements are in sufficient supply. Otherwise one ends up with critical concentrations that are dependent on the status of other nutrients, which confounds the terminology and dilutes the usefulness of the data.
That definition may appear exacting in its prior requirements, but there are sufficiency ranges that apply very widely.
Lastly, in some varieties of cultivated plants differ considerably in their requirement for a particular element, and this seems more often to relate to minor/trace elements.
Here is some litterature that looks at different diagnostic tools.
Parent, L. E., & Dafir, M. (1992). A Theoretical Concept of Compositional Nutrient Diagnosis. Journal of the American Society for Horticultural Science, 117(2), 239‑242.
Parent, S.-É. (2020). Why we should use balances and machine learning to diagnose ionomes. https://doi.org/10.22541/au.157954751.17355951
Parent, L. E., Rozane, D. E., Deus, J. A. L. de, & Natale, W. (2020). Chapter 12 - Diagnosis of nutrient composition in fruit crops : Major developments. In A. K. Srivastava & C. Hu (Éds.), Fruit Crops (p. 145‑156). Elsevier. https://doi.org/10.1016/B978-0-12-818732-6.00012-5
Leaf concentration is most reliable of accurate and symptoms of sufficient and insufficient concentrations of essential nutrients. Most of the cereal crops, plant samples taken at younger plant stages