Plant Tissue Testing

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Soil testing can provide an estimate of plant nutrient availability in a soil. However, soil testing cannot predict the quantity of nutrients a plant or crop will actually use because many factors other than soil fertility levels are involved in plant nutrition. Only through plant tissue analysis can we assess the plant鈥檚 nutritional status and determine how well the soil is supplying the plant鈥檚 nutritional requirements. Plant tissue analysis cannot replace a good soil testing program; however, plant tissue analysis can provide additional information on plant nutrient status not obtained from soil analysis.

In theory, plant tissue testing is quite simple. Plant samples from a field are collected and the nutrient levels determined after the plant tissue has been digested or extracted in a solution. Generally, only those plant portions growing above ground are sampled, although underground parts are sometimes sampled. Frequently, only specific plant parts (leaves or petioles, for example) are sampled. After nutrient levels are measured, the plant鈥檚 nutritional status can be determined by comparing the measured levels with standard levels that have been previously determined through field research. Alternatively, when a field contains both healthy and unhealthy plants, samples can be taken from both and a comparison of nutritional levels can be made. Nutritional problems frequently can be identified by this process.

In reality, there are a number of factors that make plant tissue testing far more complicated than suggested. Plant nutrient concentrations are affected by plant age, plant part and sometimes by variety even in a healthy plant. These influences must be taken into consideration.

As a plant ages, the proportions of the various types of structures change. Young plants are very succulent, with a high proportion of water in the tissues. When the plant gets older, water content decreases, the proportion of cell walls increases and the plant may become woody. The different plant structures vary in plant nutrient content. Concentrations of some nutrients (N, P, K, Cu, Zn) tend to decrease as plants age, while the concentrations of others (Ca and Mn) often increase. Unfortunately, the rates in which these tissues change are difficult to quantify. Therefore, it is extremely important to know the plant鈥檚 growth stage (or age) when sampled if the composition is to be compared to 鈥渟tandardized鈥 levels. There are commonly recommended growth stages for sampling and standard nutrient stages. Samples taken from plants at different growth stages are not easily evaluated.

Just as plants of various ages differ in nutrient content, different plant parts may contain varying levels of plant nutrients. For example, the wood and the leaves of a tree contain very different nutrient levels. Similarly, stems, leaves, roots and fruits of non鈥搘oody plants may have distinct nutrient concentrations. Therefore, it is critical when taking a plant tissue sample that the plant structure collected is the one for which standard values are known. In small plants, the whole above鈥揼round portion of the plant is usually sampled. In older plants, the most common sampling method is to collect the youngest fully expanded (grown to its full size) leaf, or to take the petioles (leaf stems) associated with those leaves. For plants requiring leaf sampling, the petiole is usually not included. Petioles are often used for sampling water鈥搒oluble (nitrate and phosphate) rather than total nutrients because the petiole is the conducting tissue where nutrients travel from the stem to the leaf. The recommended plant part for sampling should be determined for each specific plant (see Table 1.)

If a field contains both healthy and unhealthy plants, these sampling guidelines are less critical. One can remove a sample from both healthy and unhealthy plants, making sure that the same plant part is taken in both. The healthy plant can be used as the standard value to compare against the unhealthy plant. This type of comparison may be less ideal than it appears because the physiological age of the two plant groups differ. It is not uncommon for an unhealthy plant to mature at a different rate than a healthy one. For example, an unhealthy plant may bloom much earlier than its healthy counterpart. Therefore, although two plants may have been planted at the same time in the same field, their physiological age, or stage of development, may not be the same. This can make direct comparison difficult. It is helpful if soil samples are collected from healthy and unhealthy areas when tissue samples are collected.

Plant tissue samples should be taken from plants representative of the sampling area. Dead or damaged plants, those with insect or disease problems, those at the end of rows or in edge rows, or plants that differ significantly from those in the rest of the planting should not be sampled. Plants that have been recently sprayed with foliar fertilizers should be avoided. It is important that at least the recommended number of plants is sampled to ensure that a representative sample is obtained. If the recommended sample size is 25 mature leaves, all leaves should be taken from separate plants. In addition, the sampled plants should be randomly selected from a field, not concentrated in one area.

Try to sample clean leaves. Plants analyzed for iron or aluminum should first be washed quickly in a mild (2 percent) detergent solution. Fresh tissue samples must be dried rapidly at 150掳 to 175掳F until all water is removed (a kitchen oven on the warm setting will suffice). Drying at higher temperatures may destroy plant tissues; drying at lower temperatures will not stop biological activity. Tissue samples will dry best in open containers, cloth bags or opened paper bags. Samples should be dried immediately following sampling. If this is not possible, samples may be refrigerated for short periods of time prior to drying.

Tissue samples are ground to powder in the laboratory, then put into a liquid form for analysis. One of several methods may be used. Often plant tissues are digested in acid solutions. The tissue may be directly digested in boiling acid or it may be ashed in a furnace prior to acid digestion. Sometimes soluble nutrients are extracted from plant tissue in water or in salt or dilute acid solutions. Selection of appropriate methodology depends on the specific analysis to be conducted.

Results from analyses are most frequently compared directly to previously determined standard values. Standards are established for nutrient concentration ranges adequate for healthy plant growth; these are called sufficiency ranges. By comparing the results of a plant tissue analysis with these standards, the nutritional status of the test crop can be established. Sufficient nutrient concentration ranges for most crops grown in Alaska are presented in Table 2.

In some cases, the levels of soluble nutrients in petiole tissues provide more sensitive parameters for nutritional diagnoses than leaf analyses. Diagnostic values for petiole nutrient levels are given in Table 3.

Table 1. Recommended plant part and growth stage for selected crop plants.

Crop Number of Plants Sampled Plant Part Stage of Growth
Alfalfa 12 Top 6 inches Prior to bloom
Barley 25 Whole top1 Emergence of head from boot
Beets 20 Most recently mature leaf 2 At maturity
Bluegrass   Clippings 4鈥6 weeks after last cut
Broccoli 12 Most recently mature leaf At heading
Bromegrass 25 First mature stem w/leaves At maturity
Brussels sprouts 12 Most recently mature leaf At maturity
Cabbage 15 Whole tops 2鈥6 weeks old
Cabbage 12 Wrapper leaf 2鈥3 months old
Canola 20 First fully mature leaves At flowering
Carrot 15 Most recently mature leaf 惭颈诲鈥搒别补蝉辞苍
Carrot 15 Oldest leaf At maturity
Cauliflower 12 Most recently mature leaf At heading
Celery 12 Most recently mature leaf 贬补濒蹿鈥揼谤辞飞苍
Chinese cabbage 12 First fully developed leaf 8鈥搇eaf stage
Chinese cabbage 12 First fully developed leaf At maturity
Clover, red 15 Whole top Prior to bloom
Clover, alsike 20 Whole top At first flower
Clover, white 50 Leaves Prior to bloom
Romaine lettuce 12 Wrapper leaf At maturity
Head lettuce 12 Wrapper leaf Heads half鈥搒ize
Oats 25 Whole top Emergence of head from boot
Potato 25 Most recently mature leaf Plant 12 inches tall
Potato 25 Most recently mature leaf Tubers half鈥揼rown
Raspberry 50 Most recently mature whole leaves Flower bud start
Strawberry 25 Most recently mature whole leaves At flowering
Tall fescue 20 Clipping 5鈥6 weeks after last cut
Timothy 25 Whole top Early bloom
Turnip 12 Most recently mature leaf 惭颈诲鈥揼谤辞飞迟丑

1 Whole top is the entire above ground portion of the plant.

2 Most recently mature leaf is the youngest fully developed leaf.

Table 2. Nutrient sufficiency ranges for selected crop plants.1

Nutrient Alfalfa Barley Beets Bluegrass Broccoli
  %        
Nitrogen 2.95鈥5.00 1.75鈥3.00 4.00鈥5.50 2.60鈥3.50 3.20鈥5.50
Phosphorus 0.24鈥0.70 0.20鈥0.50 0.25鈥0.50 0.28鈥0.40 0.30鈥0.75
Potassium 2.00鈥3.50 1.50鈥3.00 2.00鈥4.50 2.00鈥3.00 2.00鈥4.00
Calcium 1.20鈥3.00 0.30鈥1.20 2.50鈥3.50 ________ 1.00鈥2.50
Magnesium 0.16鈥1.00 0.15鈥0.50 0.30鈥1.00 0.40鈥0.48 0.23鈥0.75
Sulfur 0.23鈥0.50 0.15鈥0.40 鈥斺赌 0.16鈥0.24 0.30鈥0.75
  ppm        
Boron 20鈥80 鈥斺赌 30鈥85 鈥斺赌 0鈥100
Copper 6鈥30 4.25 5鈥15 鈥斺赌 5鈥15
Iron 31鈥250 鈥斺赌 50鈥200 鈥斺赌 70鈥300
Manganese 21鈥200 18鈥100 50鈥250 鈥斺赌 25鈥200
Molybdenum 1.0鈥5.0 0.11鈥0.18      
Zinc 20鈥70 20鈥70 15鈥200 鈥斺赌 35鈥200
           
Nutrient Brome grass Brussels sprouts Cabbage 2鈥6 wks Cabbage 2鈥3 months Canola
  %        
Nitrogen 2.00鈥3.50 2.20鈥5.50 3.00鈥5.00 3.00鈥5.00 2.50鈥4.00
Phosphorus 0.25鈥0.35 0.26鈥0.75 0.35鈥0.75 0.30鈥0.75 0.25鈥0.50
Potassium 2.00鈥3.50 2.00鈥4.00 3.50鈥6.00 3.00鈥5.00 1.50鈥2.50
Calcium 0.25鈥0.40 0.30鈥2.50 3.00鈥4.50 1.10鈥3.50 0.50鈥4.00
Magnesium 0.14鈥0.30 0.23鈥0.75 0.50鈥2.00 0.24鈥0.75 0.20鈥1.50
Sulfur 0.17鈥0.30 0.30鈥0.75 鈥斺赌 0.30鈥0.75 0.25鈥0.50
  ppm        
Boron 10鈥20 30鈥100 25鈥75 25鈥75 30鈥80
Copper 5鈥10 5鈥15 5鈥15 5鈥15 2.7鈥20
Iron 50鈥100 60鈥300 30鈥200 30鈥200 20鈥200
Manganese 40鈥80 25鈥200 50鈥200 25鈥200 15鈥100
Molybdenum 鈥斺赌 0.25鈥1.00 鈥斺赌 0.4鈥0.7 鈥斺赌
Zinc 20鈥50 25鈥200 25鈥200 20鈥200 15鈥70
Nutrient Carrots mid-season Carrots mature Cauliflower Celery Chinese Cabbage
  %        
Nitrogen 1.80鈥3.50 3.00鈥3.50 3.00鈥4.50 2.50鈥3.50 4.50鈥5.50
Phosphorus 0.20鈥0.50 0.20鈥0.40 0.33鈥0.80 0.30鈥0.50 0.50鈥0.60
Potassium 2.00鈥4.30 2.90鈥3.50 2.60鈥4.20 4.00鈥7.00 7.50鈥9.00
Calcium 1.40鈥3.00 1.00鈥2.00 0.70鈥3.50 0.60鈥3.00 3.00鈥5.50
Magnesium 0.30鈥0.53 0.25鈥0.60 0.24鈥0.50 0.20鈥0.50 0.35鈥0.50
  ppm        
Boron 29鈥100 30鈥75 30鈥100 30鈥50 23鈥75
Copper 4.5鈥15 5鈥15 4鈥15 5鈥8 5鈥25
Iron 50鈥300 50鈥300 30鈥200 20鈥40 31鈥200
Manganese 60鈥200 60鈥200 25鈥250 200鈥300 25鈥200
Molybdenum 0.5鈥1.5 0.5鈥1.4 0.5鈥0.8 鈥斺赌 鈥斺赌
Zinc 20鈥250 20鈥250 20鈥250 20鈥50 30鈥200
Nutrient Alsike Clover Red Clover White Clover Romaine Lettuce Head Lettuce
  %        
Nitrogen   3.00鈥4.50 4.5鈥5.0 3.50鈥4.50 3.50鈥5.00
Phosphorus 0.25鈥0.50 0.20鈥0.60 0.36鈥0.45 0.45鈥0.80 0.40鈥0.60
Potassium 1.50鈥3.00 2.20鈥3.00 2.00鈥2.50 5.50鈥6.20 6.00鈥9.60
Calcium 1.00鈥1.80 2.00鈥2.60 0.50鈥1.00 2.00鈥2.80 1.40鈥2.25
Magnesium 0.30鈥0.60 0.21鈥0.60 0.20鈥0.30 0.60鈥0.80 0.36鈥0.70
Sulfur 鈥斺赌 0.26鈥0.30 0.25鈥0.50 鈥斺赌 鈥斺赌
  ppm        
Boron 15鈥50 30鈥80 25鈥50 25鈥60 23鈥50
Copper 3鈥15 8鈥15 5鈥8 5鈥25 7鈥25
Iron 50鈥100 30鈥250 25鈥100 40鈥100 50鈥175
Manganese 40鈥100 30鈥120 25鈥100 11鈥250 20鈥250
Molybdenum 鈥斺赌 0.50鈥1.00 0.15鈥0.25 鈥斺赌 鈥斺赌
Zinc 15鈥80 18鈥80 15鈥25 20鈥250 25鈥250
Nutrient Oats Potatoes 12-in. plants Potatoes tubers 陆 grown Raspberry plants
  %      
Nitrogen 2.00鈥3.00 4.50鈥6.50 3.00鈥4.00 2.20鈥4.00
Phosphorus 0.20鈥0.50 0.29鈥0.50 0.25鈥0.40 0.30鈥0.50
Potassium 1.50鈥3.00 2.40鈥3.90 3.20鈥4.10 1.40鈥3.00
Calcium 0.20鈥0.50 0.76鈥1.00 1.50鈥2.50 0.80鈥1.50
Magnesium 0.15鈥0.50 0.36鈥0.49 0.49鈥0.54 >0.30
Sulfur 0.15鈥0.40 鈥斺赌 鈥斺赌 鈥斺赌
  ppm      
Boron 鈥斺赌 25鈥50 40鈥70 25鈥75
Copper 5鈥25 7鈥20 7鈥20 3鈥50
Iron 40鈥150 50鈥100 40鈥100  
Manganese 22鈥100 30鈥250 30鈥250 30鈥250
Molybdenum 0.2鈥0.3 鈥斺赌 鈥斺赌 鈥斺赌
Zinc 15鈥70 45鈥250 30鈥200 25鈥100
Nutrient Strawberry plants Tall Fescue Timothy Turnips
  %      
Nitrogen 2.50鈥4.00 3.20鈥3.80 0.53鈥1.68 3.50鈥5.00
Phosphorus 0.21鈥1.00 0.34鈥0.45 0.11鈥0.18 0.33鈥0.60
Potassium 1.30鈥3.00 2.80鈥4.00 1.14鈥1.70 3.50鈥5.00
Calcium 1.00鈥2.50 鈥斺赌 0.09鈥0.35 1.50鈥4.00
Magnesium 0.25鈥1.00 鈥斺赌 0.06鈥0.25 0.30鈥1.00
Sulfur 鈥斺赌 >0.15 鈥斺赌 鈥斺赌
  ppm      
Boron 23鈥50 鈥斺赌 1鈥10 30鈥100
Copper 6鈥50 鈥斺赌 7鈥45 6鈥25
Iron 50鈥200 鈥斺赌 22鈥54 40鈥300
Manganese 70鈥200 鈥斺赌 11鈥35 40鈥250
Zinc 20鈥200 鈥斺赌 24鈥62 20鈥250

1Standard values are for plant parts and growth stages specified in Table 1.

Table 3. Sufficiency levels for nitrate, phosphate, and potassium in petioles and leaf midribs of selected crop plants.

Crop Stage of Growth Plant part Nitrate鈥 N (ppm) Phosphate鈥 P (ppm) Potassium (%)
Broccoli

惭颈诲鈥揼谤辞飞迟丑

First buds

Midrib of YML1

>9000

>7000

>4000

>4000

>5.0

>4.0

Brussels sprouts 惭颈诲鈥揼谤辞飞迟丑 Late growth Midrib of YML

>9000

>7000

>3500

>3000

>5.0

>4.0

Chinese Cabbage Heading Midrib of wrapper leaf >9000 >3500 >4.0
Carrot 惭颈诲鈥揼谤辞飞迟丑 Petiole of YML >10000 >4000 >6.0
Cauliflower Head forming Midrib of YML >9000 >5000 >4.0
Celery 惭颈诲鈥揼谤辞飞迟丑 Near mature Petiole of YML

>9000

>6000

>5000

>3000

>6.0

>5.0

Head Lettuce

Heading

Harvest

Midrib of wrapper leaf

>8000

>6000

>4000

>2500

>4.0

>2.5

Potato

贰补谤濒测鈥搒别补蝉辞苍

惭颈诲鈥搒别补蝉辞苍

Late season

Petiole of fourth leaf from the growing tip

>19000

>15000

>8000

>2000

>1600

>1000

>12.0

>9.0

>6.0

1 YML 鈥 youngest mature (fully expanded) leaf.

Nutritional diagnoses can give important information about the condition of a crop; however in the case of an annual crop, it may be too late to effectively remedy nutritional problems. Nevertheless, even when irreparable damage has been done, diagnostic nutritional information can be extremely valuable. If tissue analyses reveal shortages of nutrients routinely applied in a fertilization program (nitrogen, phosphorus or potassium), this may be an indication that the fertilization regime being used is inadequate for that crop. The next time the crop is grown at that location, fertilizer application rates should be adjusted. If tissue analyses reveal shortages of secondary or micronutrients, soil test information should be consulted and consideration should be given to various means of correcting the problem before the field is planted again. When dealing with perennial crops, adjusting fertilization practices can be made at almost any time. Action taken late in the season may not improve that season鈥檚 yield, but performance in subsequent years should be enhanced.

Information from plant tissue tests cannot replace that from soil tests; the two practices provide complementary data. By combining information from the two sources, one gets a clearer picture of the ability of a soil to provide adequate nutrition and of the crop to use nutrients. Both should be considered integral parts of a complete nutrient monitoring program.

References

The information contained in Tables 1鈥3 was derived from the following publications:

Dow, A.I. 1980. Critical nutrient ranges in Northwest crops. Western Regional Extension Publication No. 43.

Evanylo, G.K. and G.W. Zehnder. 1988. Potato growth and nutrient diagnosis as affected by systemic pesticide growth stage. Communications in Soil Science and Plant Analysis 19:1731鈥1745.

Gardner, B.R. and J.P. Jones. 1975. Petiole analysis and the nitrogen fertilization of Russet Burbank potatoes. American Potato Journal 52:195鈥200.

Geraldson, C.M. and K.B. Tyler. 1990. Plant analysis as an aid to fertilizing vegetables. In Soil Testing and Plant Analysis, ed. R.L. Westerman. Madison, WI: Soil Science Society of America.

Jones, J.B. Jr., B. Wolf, and H.A. Mills. 1991. Plant Analysis Handbook. Athens, GA: Micro鈥揗acro Publishing, Inc.

Kelling, K.A. and J.E. Matocha. 1990. Plant analysis as an aid to fertilizing forage crops. In Soil Testing and Plant Analysis, ed. R.L. Westerman. Madison, WI: Soil Science Society of America.

Kleinkopf, G.E. and D.T. Westermann. 1982. Scheduling nitrogen applications for Russet Burbank potatoes. University of Idaho Current Information Series No. 367.

MacKay, D.C., J.M. Carefoot, and T. Entz. 1987. Evaluation of the DRIS procedure for assessing the nutritional status of potato (Solanum tuberosum L.). Communications in Soil Science and Plant Analysis 18:1331鈥1353.

Redshaw, E.S. 1990. Plant tissue testing. Agri鈥揻ax, Alberta Agriculture. Agdex 100/08鈥1.

Sanchez, C.A., H.W. Burdine, and V.L. Guzman. 1989. Soil testing and plant analysis as guides for the fertilization of celery on histosols. Soil and Crop Science Society of Florida Proc. 49:69鈥72.

Sanchez, C.A., G.H. Synder, and H.W. Burdine. 1991. DRIS evaluation of the nutritional status of crisphead lettuce. HortScience 23:274鈥276.

Walworth, J.L., R.G. Gavlak, and J.E. Muniz. 1990. Effects of potassium source and secondary nutrients on potato yield and quality in Southcentral Alaska. University of Alaska Fairbanks, Agricultural and Forestry Experiment Station, Research Progress Report No. 18.

Westfall, D.G., D.A. Whitney, and D.M. Brandon. 1990. Plant analysis as an aid in fertilizing small grains. In Soil Testing and Plant Analysis, ed. R.L. Westerman. Madison, WI: Soil Science Society of America.

Williams, C.M.J. and N.A. Maier. 1990. Determination of the nitrogen status of irrigated potato crops. I. Critical nutrient ranges for nitrate鈥搉itrogen in petioles. Journal of Plant Nutrition 13:971鈥984.

Steven Seefeldt, Extension Faculty, Agriculture and Horticulture. This publication was originally prepared by James L. Walworth, former Soil Scientist, University of Alaska Agriculture and Forestry Experiment Station, Palmer.

Reviewed June 2015