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Wyszukujesz frazę "greenhouse test" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Evaluation of Resistance to Potato Virus Y of Cultivars in Pre-registration (Statutory) Trials
Autorzy:
Michalak, Krystyna
Chrzanowska, Mirosława
Powiązania:
https://bibliotekanauki.pl/articles/2199683.pdf
Data publikacji:
2017-06-20
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
field test
growing-on test
greenhouse test
potato cultivar
PVY
Opis:
The paper describes testing potato cultivars for resistance to potato viruses in field and greenhouse condi-tions according to the scheme of the statutory trials. Seed tubers of tested cultivar are planted in the field in two replications with 30 tubers each. On both sides of each cultivar, 15 PVY-infected tubers, i.e. the source for PVY inoculation, are planted. The evaluation includes standard cultivars of known resistance levels to PVY. The progeny tubers are collected in autumn and growing-on testing is carried out in greenhouse condi-tions to estimate the number of plants infected with PVY. The other method is to evaluate the resistance of potato cultivars in greenhouse conditions. At present, the resistance of cultivars is evaluated only with respect to PVY, the most important potato virus. Two strains are used in the evaluation, i.e. PVYN-Wi and PVYNTN. For each testing cultivar, 10 plants are mechanically inoculated with each PVY strain. The analysis of the results makes it possible to classify the cultivars into four resistance groups on a 1-9 scale: highly resistant (with the resistance score of 8), resistant (with a value of 7), mid-resistant (with a value 5-6), and susceptible (with a value of 3-4). The ”9” rating is specified after the registration of the cultivars based on molecular tests, that validate the presence of a marker linked to extreme resistance (ER) gene Rysto.
Źródło:
Plant Breeding and Seed Science; 2017, 75; 63-70
1429-3862
2083-599X
Pojawia się w:
Plant Breeding and Seed Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applications of Some Well-Known Skewed Distributions to Greenhouse Gas Emissions Data
Autorzy:
Shakil, M.
Singh, J. N.
Kibria, B. M. G.
Khadim, A.
Ahsanullah, M.
Powiązania:
https://bibliotekanauki.pl/articles/1839385.pdf
Data publikacji:
2021
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Goodness of fit test
Greenhouse gas emissions
Probability distributions
Statistical analysis
Opis:
In many problems of transportation and environmental processes and designs, fitting of a continuous probability distribution to the greenhouse gas emissions data from cars may be helpful in predicting the probability or forecasting the frequency of occurrence of the greenhouse gas emissions from burning fossil fuel for our cars, trucks, ships, trains, and planes, and planning beforehand. The objective of this paper is to study and conduct a statistical analysis of the greenhouse gas emissions data from cars. Since our data are skewed in nature, we fit the following well known skewed distributions: 3 parameter Birnbaum-Saunders (or fatigue-life), gamma, 3 parameter gamma, generalized extreme value, 3 parameter lognormal, 4 parameter Pearson 6 and Weibull distributions. We have tested the goodness of fit these distributions to a random sample of the greenhouse gas emissions data from 32 different models of cars to determine their applicability and best fit to these data based on the Kolmogorov-Smirnov, Anderson-Darling, and Chi-Squared Goodness-of-Fit Tests.
Źródło:
World Scientific News; 2021, 162; 1-15
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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