Sentence examples for forecasted response from inspiring English sources

The forecasted response to selection was 11.2% in the next cycle with 20% S0 selection proportion.

With moderate selection pressure (20%), the forecasted response to selection for resistance in the next cycle is 11.2% based on equation [1].

These have several advantages that included less experiment numbers, suitability for multiple factor experiments, search for relativity between factors, and finding of the most suitable conditions and forecast response [ 23].

Despite numerous reports of molecularly derived biomarkers to diagnose disease [ 4], predict prognosis for individual patients [ 5], and forecast response to therapy [ 6], the majority of biomarkers do not reach clinical use.

In contrast to market-level and route-level elasticities reported in the literature, flight-level elasticities can forecast responses in demand due to day-to-day price fluctuations.

He added, "Private sector forecasters have shaved about half a percentage point from their 2012 unemployment rate forecast in response to the improvement in the job market since we made our forecast".

"Whilst we would normally hesitate to change a Bank Rate forecast in response to a single speech this time is different: the Governor's assessment of the risks now points in the same direction as our own and the financial markets'".

Sustainable biodiversity and land management require a cost-effective means of forecasting landscape response to environmental change.

Therefore, understanding the role of such variables will improve our ability to design effective policies and to accurately forecast the response to policy interventions as well as natural trends.

Forecasting future response behaviour of a semi-arid catchment in terms of runoff coefficient being trivial, an attempt has been made to apply an artificial neural network (ANN) model to forecast the runoff coefficients (ROC) for the rapidly urbanizing Notwane catchment system in Botswana.

Overall, forecasting any response value in a process with drastic changes dealing with an input parameter level falling beyond the originally considered region is expected to have a significantly larger error compared to those which located within the investigated space and have closer values to the input parameters' average (Al-Ghamdi and Taylan 2015).