Talk to us!
Hello, we are the scientific
team at Smart Fertilizer
How can we help you?
I have a question!
If you need agronomist consultation,
please visit our knowledge hub forum
Create a topic with your question
and team of our lead agronomists
will provide you with expert advice.

How can we call you?
Please sign up to explore our
articles and get your
lifetime access For Free
(Enter the same email if you have already registered Smart Fertilizer Knowledge Hub)
Plant Nutrition Experts Community
By subscribing to the newsletter you agree with Privacy Policy & Terms and Conditions

Understanding Plant Tissue Analysis

Plant tissue analysis is a chemical analysis of plant leaves and other organs. Generally, a higher availability of a nutrient in the soil translates into a greater concentration of that nutrient in the plant.

However, the availability of a certain nutrient in the soil is not the only factor affecting its uptake by the plant. Other factors, such as temperature, humidity, soil moisture, plant diseases etc., considerably affect the uptake of nutrients.

Therefore, plant analysis reflects both nutrient availability in the soil and the nutritional status of the plant.

The concentration of nutrients in the plant is not fixed, but constantly changes. It may vary from month to month and even from day to day. The concentration of nutrients even differs between various parts of the same plant.

In order to learn the rate in which a nutrient is absorbed, it is necessary to take samples from several plant parts at different growth stages.

The most common uses of plant analysis are verification of visual diagnostics and identification of nutrient deficiencies or excess.


Since there are many factors affecting the interpretation of plant analysis results, it is very important to take the samples correctly. Samples should represent the general population of the plants, otherwise the results will be invalid and money and work invested will be wasted.

The most important things to be considered in taking the samples are:

  • The part of the plant sampled.
  • The number of samples taken.
  • Timing of taking the sample, i.e. the phenological stage of the plant.

Samples should be taken from plants which are at the same physiological stage and from the same parts of the plants.

It is recommended to avoid sampling plant tissues which are physiologically very young, since their nutrient content undergoes rapid changes. Very old plant tissues are not representative as well.

Younger tissues will contain more N,P and K, while in older tissues it is expected to find higher concentrations of Calcium, magnesium, manganese and boron.

Plant analysis results of adjacent plants may vary considerably, even if the plants were fertilized at the same fertilizer rates. Therefore, it is up to the grower to find, using field trials, the appropriate number and location of samples needed in order to get a valid result. Under conditions of nutrient deficiencies, the variance between the plants is considerably greater.


The nutrient content of the plant is expressed on a dry weight basis. Therefore, any condition that affects the dry weight of the collected sample will affect its nutrient composition. The macronutrients N, P, K, Ca, Mg and S are usually expressed as percentage or  as g/kg and the micronutrients as either mg/kg (=ppm) or microgram/ gram.

For each nutrient, there is a correlation between its concentration in the plant and the yield of the plant.
The curve below describes this correlation. This curve is referred to as a “yield response curve”.
The relationship between a nutrient concentration and the corresponding yield is determined by field trials.


From this curve we can see that below a certain critical nutrient concentration, yield is decreased. An increase in the nutrient concentration above the critical concentration does not affect the yield until the nutrient concentration reaches another threshold, above which any increase of the nutrient concentration will result in yield reduction.

In order to identify a deficiency or an excess of a nutrient, the tissue analysis results are compared to known ranges of values and classified as Low, Adequate, High, Excessive etc.

The concentration of a nutrient in the plant tissues does not reflect only its availability in soil, but is affected by many other factors, such as the concentration of other nutrients in the plant tissue, competition between nutrients and the mobility of the nutrient in the plant.


Easily create your fertilization plan with our software
Start Using and Increase Your Harvest up to 40%
Create your plan


In most cases, there is a correlation between plant analysis and soil analysis results. Soil test can be used as a predictive tool to plan fertilizer needs (before planting, for example) and to evaluate the availability of nutrients in the soil.

It cannot indicate whether plants are able to uptake the nutrients and does not give any information about the nutritional status of the crop growing in the soil.

Plant tissue analysis provides information about the present nutritional status of the plant and helps in verifying visual diagnosis of deficiency/toxicity symptoms. However, it does not provide enough information to explain the reason for the nutritional disorder.

Sometimes plant analysis might not be sensitive enough, since above a critical nutrient level, only a small change in the nutrient concentration in the plant occurs, despite a significant increase in the nutrient availability.


Plant tissue analysis is a very important tool in the diagnosis of nutritional problems of plants, whether it is used for research or for solving problems in the field.

However, the interpretation of the results requires experience and skill. Since results are dependent on many factors, it is essential to understand these factors and to conduct other tests, such as soil analysis, in order to give appropriate fertilizer recommendations.


  • Recommends the ideal fertilizer mixture/ blends
  • Saves up to 50% on fertilizer costs
  • Comprehensive data on hundreds of crop varieties
  • Interprets test results for any extraction method

Try Our Software Now