Comparison between analytical results of plant sap analysis and the dry ashing method for tomato plants cultured hydroponically

He, Yiqing; Terabayashi, Susumu; Namiki, Takakazu

doi:10.1080/01904169809365476

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Some studies focus on correlating sap K concentration to leaf K concentration and do not include correlations to yield. This is often done in exploratory studies examining new analytical methods (Gangaiah et al 2016;He et al 1998;Iseki et al 2017). Eventually, however, each new method must be correlated to yield or some metric of crop performance.…”

Section: Potassium Content In Plant Sapmentioning

confidence: 99%

Evaluating Plant Potassium Status

Murrell

Pitchay

2020

Improving Potassium Recommendations for Agricultural Crops

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Several methods exist for evaluating plant nutritional status. Looking for visual deficiency symptoms is perhaps the simplest approach, but once symptoms appear, crop performance has already been compromised. Several other techniques have been developed. All of them require correlation studies to provide plant performance interpretations. Reflectance is a remote sensing technique that detects changes in light energy reflected by plant tissue. It has proven successful in detecting nutrient deficiencies but does not yet have the ability to discriminate among more than one deficiency. Chemical assays of leaf tissue, known as tissue tests, require destructive sampling but are the standard against which other assessments are compared. Sufficiency ranges provide concentrations of each nutrient that are considered adequate for crop growth and development. They consider nutrients in isolation. Other approaches have been developed to consider how the concentration of one nutrient in tissue impacts the concentrations of other nutrients. These approaches strive to develop guidelines for maintaining nutrient balance within the plant. All approaches require large data sets for interpretation.

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Section: Potassium Content In Plant Sapmentioning

confidence: 99%

Evaluating Plant Potassium Status

Murrell

Pitchay

2020

Improving Potassium Recommendations for Agricultural Crops

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“…On the other hand, fresh tissue tests or cell sap tests offer a rapid and convenient assessment of the nutritional status of the plant (Davis, 1995). In those methods, fresh tissue samples (mostly the leaf or petiole parts) are chopped, crushed or homogenized, and extracted with water or reagents specific for each nutrient (Westcott et al, 1993;He et al, 1998). Compared with the total analysis method, which accounts mainly for a long-term integrated accumulation of nutrients, the fresh tissue or cell tests can have advantages of reflecting relatively recent or readily available nutrient contents in the plant compartment.…”

Section: Introductionmentioning

confidence: 99%

Compositional Characteristics of Major Inorganic Anions in Soil and Plant Water Extracts from Various Farmlands

Pros¹,

Kim²,

Lee³

et al. 2022

Korean J. Soil. Sci. Fert.

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Water-extractable anions in soils and plants are major forms of essential nonmetal nutrients (N, P, S, and Cl) and important for understanding the soil's current nutrient supply conditions and the plant's recent nutrient uptake status. We investigated the compositions of major inorganic anions (nitrate, orthophosphates, chloride, and sulfate) in both soil and plant water extracts obtained from 19 farmlands (5 monocots, 4 tree dicots, and 10 non-tree dicots). We observed that, although there were several important general properties of soil and plant anions, the anionic compositions were mostly inherent characteristics of each soil and varied largely depending on the plant species. A multivariate factor analysis revealed that the anionic compositions of each soil solution were well characterized by their responses to increments of electrical conductivity. In addition, the leaf anion compositions of each plant tended to share similar characteristics within the same plant types (monocots, tree dicots, and non-tree dicots).

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