Mineralization of soil organic matter is governed by predictable factors with nitrate-N as the end product. Crop production interrupts the natural balance, accelerates mineralization of N, and elevates levels of nitrate-N in soil. Six factors determine nitrate-N levels in soils: soil clay content, bulk density, organic matter content, pH, temperature, and rainfall. Maximal rates of N mineralization require an optimal level of air-filled pore space. Optimal air-filled pore space depends on soil clay content, soil organic matter content, soil bulk density, and rainfall. Pore space is partitioned into water- and air-filled space. A maximal rate of nitrate formation occurs at a pH of 6.7 and rather modest mineralization rates occur at pH 5.0 and 8.0. Predictions of the soil nitrate-N concentrations with a relative precision of 1 to 4 μg N g of soil were obtained with a computerized N fertilizer decision aid. Grain yields obtained using the N fertilizer decision aid were not measurably different from those using adjacent farmer practices, but N fertilizer use was reduced by >10%. Predicting mineralization in this manner allows optimal N applications to be determined for site-specific soil and weather conditions.
The effect of thermal energy intensity (TEI) on the rate of nitrogen (N) accumulation by maize from a Hamerly clay loam soil (Aerie Calciaquoll) was examined with and without supplemental irrigation. Soil‐ and air‐TEI expressed as cumulative growing degree days (GDD) was determined from hourly temperature measurements taken within each plot at soil depths of 0.05‐, 0.15‐, and 0.3‐m and at a height of 1.2‐m above ground surface. A daily mean TEI (GDD per day) was calculated for each growth period. Estimates of time coefficient(s), k, in uni‐ and diphasic tanhfk(time)] functions, plotted against mean TEI for the periods; 1) planting to emergence, 2) emergence to eighth leaf, 3) eighth leaf to time(s) of maximum N accumulation rate, (t0), 4) planting to t0, 5) emergence to t0, 6) first diphasic maximum accumulation rate (t01) to 50 % silking, and 7) silking to second diphasic maximum accumulation rate t02 showed several linear relationships. Uniphasic time coefficients were modelled as functions of air‐TEI. The first diphasic time coefficient, k, was modelled as a function of pre‐ and post‐emergent soil‐TEI. Attempts to model k2, the second time coefficient of the diphasic model were unsuccessful; however, this time coefficient was linearly related to TEI for the growth period ‘t01 to 50 % silking’ and curvilinearly related to k1. Zusammenfassung Der Einfluß thermaler Energieintensität auf Zeit und Rate der Stickstoffakkumulation bei Mais (Zea mays L.) Der Einfluß der thermalen Energieintensität (TEI) auf die Rate der Stickstoffakkumulation (N) bei Mais auf einem Hamerly ton‐lehmigen Boden (aerie calciaquoll) wurde mit und ohne zusätzliche Bewässerung untersucht. Boden‐und Luft‐TEI, ausgedrückt als kumulative Wachstumstage (GDD), wurden aus stündli‐chen Temperaturmessungen, die innerhalb der Parzellen in Bodentiefen von 0,05, 0,15 und 0,3 m und in Höhen von 1,2 m über dem Grund ermittelt wurden, bestimmt. Eine tägli‐che mittlere TEI (GDD/Tag) wurde für jede Wachstumsperiode kalkuliert. Die Ermittlungen der Zeitkoeffizienten, k, in ein‐ und zwei‐phasigen tanh[k(Zeit)]‐Funktionen wurden ge‐gen die mittlere TEI für die Perioden aufgetra‐gen; 1) Pflanzzeit bis Auflaufen, 2) Auflaufen bis 8‐Blattstadium, 3) 8‐Blattstadium bis zum Zeitpunkt der Maximal‐N‐Akkumulationsrate (t0), 4) Pflanzzeit bis t0, 5) Auflaufen bis t0, 6) erste zweiphasige Maximalakkumulationsrate (t01) bis 50 % Seidenauswurf und 7) Seidenaus‐wurf bis zur zweiten diphasischen Maximum‐akkumulationsrate t02 zeigten zahlreiche linea‐re Beziehungen. Die einphasigen Zeitkoeffizienten wurden als Modelle der Funktionen der Luft‐TEI dargestellt. Der erste zweiphasige Zeitkoeffizient, k1; wurde als Funktion der Vor‐ und Nachauflaufphase der Boden‐TEI behandelt. Versuche Modelle k2, der zweite Zeitkoeffizient für das diphasische Modell, waren nicht erfolgreich; allerdings war der Zeitkoeffizient linear bezogen auf TEI für die Wachstumsperiode t01 bis 50 % Seidenauswurf und kurvenlinear bezogen zu k1.
Because vanadium (V) is easily reduced to a cationic form within plant cells, data from resin‐extraction of soil were analysed for evidence of interactions between V and the resin‐extractable concentrations of magnesium (Mg) and calcium (Ca) on soybean seed yield. Three varieties, 9091, 9061 and 704, were grown over a 3‐year period in a corn–soybean–wheat rotation. Surface soil samples (0–15 cm) were extracted with ion‐exchange resins, extracts were analysed by inductively coupled plasma methods (ICP), and the results were regressed against seed yield using SAS PROC STEPWISE analysis using forward selection, backward elimination and maximum R2 routines. The seed yield of each variety showed a correlation with a unique set of resin‐extractable concentrations of V, phosphorus (P), Mg and Ca, and the V:(V + P), Mg:(Mg + Ca), Mg:(Mg + 1000 V) and Ca:(Ca + 1000 V) ratios. Variety 9091 was most sensitive to the Mg:(Mg + Ca) ratio. Variety 9061 was most sensitive to extractable V and to the V:(V + P) ratio. Variety 704 was sensitive to extractable P, V and Ca and the Mg:(Mg + 1000 V) ratio. For variety 9091, Mg fertilization (not currently practised) may be an economical practice, whereas P fertilization of 704 may not be economical. Each regression technique varied slightly in identification of important factors in seed yield. Concentrations and ratios of resin‐extractable elements in soil provide insights into optimal genotype selection and possible management alternatives for a given soil.
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