Five models based on multiple regression were developed to estimate wheat yields for the five wheat growing provinces of Argentina. Meteorological data sets were obtained for each province by averaging data for stations within each province. Predictor variables for the models were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. Buenos Aires was the only province for which a trend variable was included because of increasing trend in yield due to technology from 1950 to 1963
As global grain demand is expected to keep on rising, productive but underachieving regions like the...
The author has identified the following significant results. A variable date starter model for sprin...
As a result of climate change, and in particular rainfall changes, agricultural production is likely...
A model based on multiple regression was developed to estimate wheat yields for the wheat growing st...
A model based on multiple regression was developed to estimate corn yields for the country of Argent...
Two types of time scales - 10-day intervals (D) and phenological phases (P) - were applied to enviro...
The current paper analyses various environmental parameters in relation to wheat yields in Bordenave...
A model based on multiple regression was developed to estimate soybean yields for the country of Arg...
Efforts to anticipate how climate change and variability will affect future crop production can bene...
A regional analysis of the effects of soil and climate factors on wheat yield was performed in the A...
The Pampas is among the major agricultural regions in the world; a large proportion of Argentina cro...
A quantitative model determining the relationship between weather conditions and wheat yield in the ...
New avenues are being explored to increase food production in the extensive agriculture of highly pr...
For abstract, see volume 1 N77-30577. The enclosed maps indicate the areal coverage of the various m...
Favorable climate and soils for rainfed crop production, together with a relatively low population d...
As global grain demand is expected to keep on rising, productive but underachieving regions like the...
The author has identified the following significant results. A variable date starter model for sprin...
As a result of climate change, and in particular rainfall changes, agricultural production is likely...
A model based on multiple regression was developed to estimate wheat yields for the wheat growing st...
A model based on multiple regression was developed to estimate corn yields for the country of Argent...
Two types of time scales - 10-day intervals (D) and phenological phases (P) - were applied to enviro...
The current paper analyses various environmental parameters in relation to wheat yields in Bordenave...
A model based on multiple regression was developed to estimate soybean yields for the country of Arg...
Efforts to anticipate how climate change and variability will affect future crop production can bene...
A regional analysis of the effects of soil and climate factors on wheat yield was performed in the A...
The Pampas is among the major agricultural regions in the world; a large proportion of Argentina cro...
A quantitative model determining the relationship between weather conditions and wheat yield in the ...
New avenues are being explored to increase food production in the extensive agriculture of highly pr...
For abstract, see volume 1 N77-30577. The enclosed maps indicate the areal coverage of the various m...
Favorable climate and soils for rainfed crop production, together with a relatively low population d...
As global grain demand is expected to keep on rising, productive but underachieving regions like the...
The author has identified the following significant results. A variable date starter model for sprin...
As a result of climate change, and in particular rainfall changes, agricultural production is likely...