GRAIN YIELD OF SOYBEAN VARIETIES OF DIFFERENT MATURITY GROUPS IN THE FOREST-STEPPE ZONE OF THE MIDDLE VOLGA REGION

The experiments were carried out in non-watering conditions of the forest-steppe of the middle Volga region in the fields of Samara Research Institute in 2016-2018. The purpose of the research is to study the features of grain yield formation in soybean varieties of different maturity groups in order to create new varieties of Volga ecotype with high and stable grain yield. The material for the study was 29 soybean varieties of different agroecotypes and maturity groups. Standard is Samer 3. Observations and records were carried out according to the generally accepted methodology. Meteorological conditions in 2016-2018 characterized as arid, the hydrothermal coefficient varied from 0.5 to 0.7. On average, over the years of testing, the studied varieties were classified as very early – with a vegetation period of 86…90 days (8 varieties) and early 91…109 days (21 varieties), including the Samer 3 standard, ripeness groups. The high grain yield over the years of testing was in the early ripeness group - 1.95 t/ha. The sum of active temperatures above 10°C (r=+0.993…+0.999) and the amount of precipitation (r=+0.845…+0.939) had a significant impact on the duration of vegetation of both groups of ripeness in all years. A significant influence of the hydrothermal coefficient and the average daily temperature on the duration of vegetation was, revealed in 2017 and 2018. The correlation of vegetation duration with the hydrothermal coefficient was r=-0.767…-0.977, and with an average daily temperature of r=-0.902…-0.970. Among the varieties of different groups of ripeness, high seed yields (2.00…2.21 t/ha) on average over the years of testing had: Oressa, Swapa, Samer 1, Lira, Cordoba, Lisbon, Malaga

GRAIN YIELD OF SOYBEAN VARIETIES OF DIFFERENT MATURITY GROUPS IN THE FOREST-STEPPE ZONE OF THE MIDDLE VOLGA REGION

The experiments were carried out in non-watering conditions of the forest-steppe of the middle Volga region in the fields of Samara Research Institute in 2016-2018. The purpose of the research is to study the features of grain yield formation in soybean varieties of different maturity groups in order to create new varieties of Volga ecotype with high and stable grain yield. The material for the study was 29 soybean varieties of different agroecotypes and maturity groups. Standard is Samer 3. Observations and records were carried out according to the generally accepted methodology. Meteorological conditions in 2016-2018 characterized as arid, the hydrothermal coefficient varied from 0.5 to 0.7. On average, over the years of testing, the studied varieties were classified as very early – with a vegetation period of 86…90 days (8 varieties) and early 91…109 days (21 varieties), including the Samer 3 standard, ripeness groups. The high grain yield over the years of testing was in the early ripeness group - 1.95 t/ha. The sum of active temperatures above 10°C (r=+0.993…+0.999) and the amount of precipitation (r=+0.845…+0.939) had a significant impact on the duration of vegetation of both groups of ripeness in all years. A significant influence of the hydrothermal coefficient and the average daily temperature on the duration of vegetation was, revealed in 2017 and 2018. The correlation of vegetation duration with the hydrothermal coefficient was r=-0.767…-0.977, and with an average daily temperature of r=-0.902…-0.970. Among the varieties of different groups of ripeness, high seed yields (2.00…2.21 t/ha) on average over the years of testing had: Oressa, Swapa, Samer 1, Lira, Cordoba, Lisbon, Malaga

Impact of weather factors on hospital admission of hand, foot and mouth disease under climate change scenarios in Ho Chi Minh City.

Hand, foot, and mouth disease (HFMD) is one of the most common communicable diseases in Vietnam. The present study aims to examine the association between weather factors and HFMD in association with hospitalisation. Daily and weekly weather and HFMD data from 2013 to 2018 in Ho Chi Minh City were deployed. Poisson regression model combined with a distributed lag non-linear model (DLNM) was applied to examine the relationship between weather factors and HFMD. The forecasting model for HFMD was performed by using the Global Climate Model (GCM) and Yasushi Honda model. The result showed that the average daily temperature induces an increase in the risk of HFDM hospitalisation was 26°C- 30.1°C. The average daily humidity also caused increasing the risk of hospitalisation of HFMD was 75% - 85%. However, the average daily humidity <60% reduced the risk of getting HFMD. The study provides quantitative evidence that the incidence of HFMD cases was associated with meteorological variables including average daily temperature and daily humidity in Ho Chi Minh City. This findings implies that there is a need for building a public health policy for eliminating and mitigating climate change impact on community health in a resilient approach.

Assessing Forecasting Performance of Daily Mean Temperature at 1st and 2nd Perak Station, Surabaya Using ARIMA and VARIMA Model with Outlier Detection

Air temperature is an important data for several sectors. The demand of fast, exact and accurate forecast on temperature data is getting extremely important since it is useful for planning of several important sectors. In order to forecast mean daily temperature data at 1st and 2nd Perak BMKG Station in Surabaya, this study used the univariate method, ARIMA model and multivariate method, VARIMA model with outlier detection. The best ARIMA model was selected using in-sample criteria, i.e. AIC and BIC. While for VAR model, the minimum information criterion namely AICc value was considered. The RMSE values of several forecasting horizons of out-sample data showed that the overall best model for mean daily temperature at 1st and 2nd Perak Station was the multivariate model, i.e. VARX (10,1) with four outliers incorporated in the model, indicated that it was necessary to consider the temperature from the nearest stations to improve the forecasting performance. This study recommends performing the overall best model only for short term forecasting, i.e. two weeks at maximum. By using the one week-step ahead and one day-step ahead forecasting scheme, the forecasting performance is significantly improved compared to default the k-step ahead forecasting scheme.

Investigating the Co-movement Nexus Between Air Quality, Temperature, and COVID-19 in California: Implications for Public Health

This research aims to look at the link between environmental pollutants and the coronavirus disease (COVID-19) outbreak in California. To illustrate the COVID-19 outbreak, weather, and environmental pollution, we used daily confirmed cases of COVID-19 patients, average daily temperature, and air quality Index, respectively. To evaluate the data from March 1 to May 24, 2020, we used continuous wavelet transform and then applied partial wavelet coherence (PWC), wavelet transform coherence (WTC), and multiple wavelet coherence (MWC). Empirical estimates disclose a significant association between these series at different time-frequency spaces. The COVID-19 outbreak in California and average daily temperature show a negative (out phase) coherence. Similarly, the air quality index and COVID-19 also show a negative association circle during the second week of the observed period. Our findings will serve as policy implications for state and health officials and regulators to combat the COVID-19 outbreak.

Thermal performance curves for aerobic scope in a tropical fish (Lates calcarifer): flexible in amplitude but not breadth

Aerobic metabolic scope is a popular metric to estimate the capacity for temperature-dependent performance in aquatic animals. Despite this popularity, little is known of the role of temperature acclimation and variability in shaping the breadth and amplitude of the thermal performance curve for aerobic scope. If daily thermal experience can modify the characteristics of the thermal performance curve, interpretations of aerobic scope data from the literature may be misguided. Here, tropical barramundi (Lates calcarifer) were acclimated for ∼4 months to cold (23℃), optimal (29℃) or warm (35℃) conditions, or to a daily temperature cycle between 23 and 35℃ (with a mean of 29℃). Measurements of aerobic scope were conducted every 3-4 weeks at three temperatures (23℃, 29℃ and 35℃), and growth rates were monitored. Acclimation to constant temperatures caused some changes in aerobic scope at the three measurement temperatures via adjustments in standard and maximal metabolic rates, and growth rates were lower in the 23℃-acclimated group compared with all other groups. The metabolic parameters and growth rates of the thermally variable group remained similar to those of the 29℃-acclimated group. Thus, acclimation to a variable temperature regime did not broaden the thermal performance curve for aerobic scope. We propose that aerobic scope thermal performance curves are more plastic in amplitude rather than breadth, and that the metabolic phenotype of at least some fish may be more dependent on the mean daily temperature rather than on the daily temperature range.