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Problems With Plant Bio Analytics

Problems With Plant Bio Analytics

Interpretive challenges In general, it is possible to establish strong correlations between crop output, nutrient levels in the plant, and soil nutrient availability for a specific location in any particular year. However, variances in these correlations frequently result from variations in location, diversity, time, and management, making them challenging to evaluate. Depending on the plant section sampled, stage of maturity, hybrid, and environmental conditions, nutrient levels in plants vary. Therefore, these characteristics must be taken into account when interpreting plant analyses. Because of this, the majority of plant Bio Analytics interpretations are based on a particular plant part sampled at a certain developmental stage. NCH-15 provides more information on plant tissue analysis sampling.

The ear leaf at silking is most frequently employed for examination of maize. In most cases, it is already too late to receive any necessary corrective care. Therefore, the analysis’ findings can only be applied to prevent difficulties in the future. However, if plants from a healthy growing field at the same growth stage are also studied for comparison, nutritional problems can often be detected at an earlier stage of crop development. The normal/abnormal comparison is frequently necessary because sampling the entire plant has the tendency to obscure differences in important plant components. The plant must also be old enough to have created a concentrated spread.

Link Between Various Other Things.

The fundamental tenet of plant Bio Analytics, according to Martin and Matocha (1973), is that a plant’s chemical makeup reflects its nutrient supply in connection to growth. However, they advise that “Any plant’s chemical makeup is a “result” of the relationship between nutrient supply and plant growth. Any condition that restricts growth may lead to an accumulation of more nutrients in the plant.” In their words, “we are in effect trying to infer a cause and effect relationship from two data (yield and nutrient concentration), either of which may have been brought out by some other reason,” when utilizing plant Bio Analytics as a diagnostic tool. Thus, even if the soil would normally be deemed to have an adequate supply of nutrients, restricted root growth brought on by compacted soil layers or cold temperatures might lead to lower nutrient uptake.

Progressive Shortcomings

Another drawback of plant Bio Analytics is that it typically only picks up the ingredient that has the biggest negative impact on plant growth. Rarely can two or more elements suffer from acute deficiency in the same way. For instance, a maize plant may lack K, but because K restricts development, even if soil P is low, there may be enough P to make up for the reduced amount of dry-matter production. Dry-matter production increases significantly when K is introduced as a corrective measure; P then becomes insufficient. On the other hand, nitrogen stress can restrict the uptake of several micronutrients and phosphorus to the point where they appear to be “poor.”

Contamination Of A Sample.

A plant i Testing sample that has been contaminated with soil particles or pesticide residue may produce iron, aluminum, manganese, zinc, or copper values that are excessively high. If detergent or tap water are used when washing the sample to eliminate contamination, more pollutants may be introduced. By washing, significant potassium can be lost. In NCH-15, these issues are covered in further detail.

Deterioration Of The Sample.

If a plant i Testing sample decomposes before it is tested in the lab, carbon will be lost (as CO2 through respiration and microbial activity) and the concentration of most other elements will increase, providing falsely high values. This can be avoided by keeping the sample chilled until it is delivered to the lab, sending it on a weekday instead of a weekend, or partially drying it before shipping. Prior to transportation, samples should be solar-dried to 15–20% moisture content to avoid sample spoiling and to cut shipping expenses. Enzymatic activity can be stopped by quickly drying a sample in a microwave to a moisture content of between 10 and 15%, although caution must be used to prevent over-drying the sample.

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