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Prediction of wheat grain yield by measuring root electrical capacitance at anthesis

100%

Cseresnyes I., Miko P., Kelemen B., Fuzy A., Paradi I., Takacs T.

International Agrophysics

2021

tom 35

nr 2

Selection of plant physiological parameters to detect stress effects in pot experiments using principal component analysis

84%

Fuzy A., Kovacs R., Cseresnyes I., Paradi I., Szili-Kovacs T., Kelemen B., Rajkai K., Takacs T.

Acta Physiologiae Plantarum

2019

tom 41

nr 05

Appropriate selection and well-timed measurement of plant developmental, morphological and physiological parameters are essential to maximize efficacy and minimize time consumption of experiments. To select for the most sensitive indicators of drought or salt stress, three independent pot experiments with diverse setups were analysed with 20–20 measured parameters. Parameters of plant growth, phenology and symbiotic interactions, visual stress symptoms, photosynthetic activity, nutrient composition and vitality were studied and the result matrices were evaluated with principal component analysis (PCA). Stress effects manifested in PC1 of two experiments and in PC2 of the third one. Traits assumed to be adequate for stress indication were characterized by high PC1 or PC2 loading values. Beside parameters of biomass production, growth and visible stress symptoms, less evident traits e.g. root electrical capacitance, membrane stability index in roots and leaves, relative water content of leaves and SPAD units were identified.

Ograniczanie wyników

1 Acta Physiologiae Plantarum

1 International Agrophysics

2 Cseresnyes I.

2 Fuzy A.

2 Kelemen B.

2 Paradi I.

2 Takacs T.

1 Kovacs R.

1 Miko P.

1 Rajkai K.

1 Szili-Kovacs T.

1 2021

1 2019

Wyniki wyszukiwania

Prediction of wheat grain yield by measuring root electrical capacitance at anthesis

Selection of plant physiological parameters to detect stress effects in pot experiments using principal component analysis