Temat: field model - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Germination of wheat grain in an alternating magnetic field
Autorzy:: Pietruszewski, S.
Kornarzynski, K.
Lacek, R.
Powiązania:: https://bibliotekanauki.pl/articles/25028.pdf
Data publikacji:: 2001
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: magnetic field
development
wheat grain
pre-sowing period
mathematical model
seed
germination
Źródło:: International Agrophysics; 2001, 15, 4
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Field validation of DNDC and SWAP models for temperature and water content of loamy and sandy loam Spodosols
Autorzy:: Balashov, E.
Buchkina, N.
Rizhiya, E.
Farkas, C.
Powiązania:: https://bibliotekanauki.pl/articles/972349.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: field validation
agroecosystem
modelling
soil water content
soil temperature
DNDC model
SWAP model
temperature
water content
loamy sand
sandy loam
Spodosol
Opis:: The objectives of the research were to: fulfil the preliminary assessment of the sensitivity of the soil, water, atmosphere, and plant and denitrification and decomposition models to variations of climate variables based on the existing soil database; validate the soil, water, atmosphere, and plant and denitrification and decomposition modelled outcomes against measured records for soil temperature and water content. The statistical analyses were conducted by the sensitivity analysis, Nash-Sutcliffe efficiency coefficients and root mean square error using measured and modelled variables during three growing seasons. Results of sensitivity analysis demonstrated that: soil temperatures predicted by the soil, water, atmosphere, and plant model showed a more reliable sensitivity to the variations of input air temperatures; soil water content predicted by the denitrification and decomposition model had a better reliability in the sensitivity to daily precipitation changes. The root mean square errors and Nash-Sutcliffe efficiency coefficients demonstrated that: the soil, water, atmosphere, and plant model had a better efficiency in predicting seasonal dynamics of soil temperatures than the denitrification and decomposition model; and among two studied models, the denitrification and decomposition model showed a better capability in predicting the seasonal dynamics of soil water content.
Źródło:: International Agrophysics; 2014, 28, 2
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Practical experiences with the EASY TEST FOM moisture meter in assessing the soil water balance of a maize field
Autorzy:: Stenitzer, E.
Gassner, L.
Powiązania:: https://bibliotekanauki.pl/articles/24846.pdf
Data publikacji:: 2004
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: soil water
SIMWASER simulation model
measurement
soil
field
agricultural soil
maize
water content
water balance
Źródło:: International Agrophysics; 2004, 18, 4
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Magnetic-time model at off-season germination
Autorzy:: Mahajan, T.S.
Pandey, O.P.
Powiązania:: https://bibliotekanauki.pl/articles/25089.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: seed
mung bean
decay
germination
water potential
temperature
light
soil
magnetic field
magnetic-time model
season
Opis:: Effect of static magnetic field on germination of mung beans is described. Seeds of mung beans, were exposed in batches to static magnetic fields of 87 to 226 mT intensity for 100 min. Magnetic time constant – 60.743 Th (Tesla hour) was determined experimentally. High value of magnetic time constant signifies lower effect of magnetic field on germination rate as this germination was carried out at off-season (13°C). Using decay function, germination magnetic constant was calculated. There was a linear increase in germination magnetic constant with increasing intensity of magnetic field. Calculated values of mean germination time, mean germination rate, germination rate coefficient, germination magnetic constant, transition time, water uptake, indicate that the impact of applied static magnetic field improves the germination of mung beans seeds even in off-season.
Źródło:: International Agrophysics; 2014, 28, 1
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki