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Multiple Regression Analysis of Malting Barley Yield and Climatic Conditions in Kyushu Region
Climatic condition Malting barley Multiple regression analysis Precipitation Wet injury
2009/8/6
Multiple regressions of six malting barley cultivars between yield and climatic conditions in Kyushu region over years were computed by backward and forward procedure. Phenotypic correlations between ...
Prediction of Silking Date of Corn from the Multiple Regression Formula with Day Length and Average Temperature as Variables
Corn Day length Multiple regression formula Prediction Silking stage
2009/7/10
The silking date of corn was predicted from the multiple regression formula (MRF) with day length and the average temperature within one month after sowing as variables. The cultivars used were G4321...
Comparison of the Constancy of Heat Unit Accumulation Needed for Heading of Sorghum and Prediction of Heading Date by the Multiple Regression Formula in Northern Kyushu District
Multiple regression formula Heading date Sorghum Effective heat unit accumulation
2009/7/9
The constancy of the heat unit accumulation needed for the heading of sorghum cultivar P956 was examined for the simple heat unit accumulation method, the effective heat unit accumulation Method I in ...
Artificial neural network as an alternative to multiple regression analysis for estimating the parameters of econometric models
artificial neural network econometric models grain yield
2010/1/13
In recent years, neural networks have been used for a wide variety of applications where statistical methods are traditionally employed. Neural nets offer the opportunity to create a model by using te...