000			01693nab a22003017a 4500
001			G62362
003			MX-TxCIM
005			20170719155135.0
008			121211b |||p||p||||||| |z||| |
040			_aMX-TxCIM
082	0	4	_a82-765367|81-686082
100	1		_aDe la Rosa, D. _963
245	0	0	_aCrop yield predictions based on properties of soils in Sevilla, Spain
260			_c1981
340			_aPrinted
500			_a13 ref.; Summary (En)
520			_aAn approach is described for estimating yields of wheat, field corn (maize) and cotton on the basis of selected properties of soils when used under a high level of management. Statistical models were calibrated against the properties of the soils and the estimated yields of the three crops on 25 soils representing five great groups. The procedure consisted of computing algebraic equations following analyses by multiple regression. Soil properties selected were: useful depth, clay content, depth to hydromorphic features, carbonate content, salinity, sodium saturation and cation exchange capacity. The selected properties accounted for 78 to 84% in the general model and for 56 to 80% in the quadratic model of the variations in yields of the three crops. Estimates were also made of the optimum expressions of two properties, useful depth and depth to hydromorphic features, to maximize yields of the crops
546			_aEnglish
591			_aElsevier
595			_aAC
650	1	0	_aPlant production _91212
650	1	0	_aSoil resources and management
650	1	0	_aSpain
700	1		_aAlmorza, J., _ecoaut.
700	1		_aCardona, F., _ecoaut.
773	0		_tGeoderma _n82-765367 _gv. 25, no. 3, p. 267-274
942			_cJA
999			_c17786 _d17786