2012
DOI: 10.5424/sjar/2012101-486-10
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Seedling emergence of tall fescue and wheatgrass under different climate conditions in Iran

Abstract: Seedling emergence is one of the most important processes determining yield and the probability of crop failure. The ability to predict seedling emergence could enhance crop management by facilitating the implementation of more effective weed control strategies by optimizing the timing of weed control. The objective of the study was to select a seedling emergence thermal time model by comparing five different equations for tall fescue and wheatgrass in two sites with different climate conditions (semiarid-temp… Show more

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Cited by 3 publications
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“…Of the K subsamples, a single subsample was retained as the validation data for testing the model, and the remaining K -1 subsamples were used as training data. The goal of cross-validation is to find out whether the result is replicable or just a matter of random fluctuations (Behtari and de Luis, 2012). After fitting the models to the data, a comparison was made between the model-averaged prediction value ( i P ) and the nonused observation value (O i ) used in the following model evaluation criteria (Jalota et al, 2010):…”
Section: Validationmentioning
confidence: 99%
“…Of the K subsamples, a single subsample was retained as the validation data for testing the model, and the remaining K -1 subsamples were used as training data. The goal of cross-validation is to find out whether the result is replicable or just a matter of random fluctuations (Behtari and de Luis, 2012). After fitting the models to the data, a comparison was made between the model-averaged prediction value ( i P ) and the nonused observation value (O i ) used in the following model evaluation criteria (Jalota et al, 2010):…”
Section: Validationmentioning
confidence: 99%