Corn and soybean’s season-long in-situ nitrogen mineralization in drained and undrained soils

Fernández, Fabián G.; Fabrizzi, Karina P.; Naeve, Seth L.

doi:10.1007/s10705-016-9810-1

Cited by 28 publications

(27 citation statements)

References 33 publications

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“…These results indicate that N fertilization does not consistently influence PMN an and when it does, it most often reduces PMN an . The variable effect of N fertilization on PMN an in this study is similar to the findings of others (Fernández et al, 2017;Kuzyakova et al, 2006;Ma et al, 1999). Furthermore, soil properties influenced the effect of N fertilization on PMN an , namely total C, total organic C, SOM, C to N, clay content, and V5 soil NO 3 -N concentration (Figure 3).…”

Section: Nitrogen Fertilization Effect On Pmn An At the V5 Corn Develsupporting

confidence: 89%

“…Second, most soil samples collected for PMN an analysis are obtained before spring N fertilizer application. However, the application of N fertilizer before soil sampling results in greater variability of N mineralization (Fernández et al, 2017;Kuzyakova et al, 2006;Ma, Dwyer, & Gregorich, 1999). Understanding the influence of N fertilizer application on N mineralization has important practical implications because most agricultural fields receive some N fertilizer before or at planting to optimize corn yield.…”

Section: Core Ideasmentioning

confidence: 99%

“…These were the critical values where (1) above these threshold values, PMN an from V5 tended to be greater than preplant, or (2) below these threshold values, PMN an from preplant tended to be greater than at V5. Greater than normal early season temperatures and more evenly distributed precipitation between the preplant and V5 soil samplings likely increased the breakdown of organic materials into more easily decomposable materials by the V5 sample timing (Cabrera, Kissel, & Vigil, 2005;Culman et al, 2013;Fernández et al, 2017;Goulding et al, 1998;Kuzyakov, Friedel, & Stahr, 2000;Ma & Wu, 2008). This greater abundance of easily decomposable material available at V5 sampling likely led to the increase of V5 PMN an over preplant PMN an .…”

Section: Soil Sample Timing Effect On Pmn Anmentioning

confidence: 99%

“…First, most soil samples collected for PMN an analysis are obtained early in the spring when limited mineralization has taken place. These mineralization rates increase through the spring as temperatures increase and change throughout the remainder of the growing season (Culman, Snapp, Green, & Gentry, 2013;Fernández, Fabrizzi, & Naeve, 2017;Kuzyakova, Turyabahika, & Stahr, 2006;Sierra, 1996). However, the differences between early and later season soil and weather conditions and their influence on PMN an have not been investigated.…”

Section: Introductionmentioning

confidence: 99%

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Soil sample timing, nitrogen fertilization, and incubation length influence anaerobic potentially mineralizable nitrogen

Clark

Veum

Fernández

et al. 2020

Soil Science Soc of Amer J

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Understanding the variables that affect the anaerobic potentially mineralizable N (PMN an) test should lead to a standard procedure of sample collection and incubation length, improving PMN an as a tool in corn (Zea mays L.) N management. We evaluated the effect of soil sample timing (preplant and V5 corn development stage [V5]), N fertilization (0 and 180 kg ha −1) and incubation length (7, 14, and 28 d) on PMN an (0-30 cm) across a range of soil properties and weather conditions. Soil sample timing, N fertilization, and incubation length affected PMN an differently based on soil and weather conditions. Preplant vs. V5 PMN an tended to be greater at sites that received < 183 mm of precipitation or < 359 growing degree-days (GDD) between preplant and V5, or had soil C/N ratios > 9.7:1; otherwise, V5 PMN an tended to be greater than preplant PMN an. The PMN an tended to be greater in unfertilized vs. fertilized soil in sites with clay content > 9.5%, total C < 24.2 g kg −1 , soil organic Abbreviations: AWDR, Abundant and well-distributed rainfall; GDD, Growing degree-day; PMN an , Anaerobic potentially mineralizable N; SDI, Shannon diversity index; SOM, Soil organic matter. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Nitrogen Fertilization Effect On Pmn An At the V5 Corn Develsupporting

confidence: 89%

Section: Core Ideasmentioning

confidence: 99%

Section: Soil Sample Timing Effect On Pmn Anmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Soil sample timing, nitrogen fertilization, and incubation length influence anaerobic potentially mineralizable nitrogen

Clark

Veum

Fernández

et al. 2020

Soil Science Soc of Amer J

Self Cite

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show abstract

“…Recently, Clivot et al (2017) highlighted that improved assessment and prediction of NNM rates under field conditions are essential for a better management of N in arable cropping systems and improve fertiliser recommendations to farmers, because actual availability of inorganic N depends on the rate of NNM and its transport through the soil. Fernández et al (2017) noted that some of the reasons for the focus on N fertiliser recommendations are that this essential element is commonly the most limiting nutrient for crop production, it represents a major input cost, and losses to the environment typically increase when is applied in excess. These externalities could drive a shift in vital earthsystem processes (Steffen et al 2015) and, being potentially quite costly to society (Sobota et al 2015), it is imperative that cropping systems can address not only a high production but also an improved environmental quality.…”

Section: Introductionmentioning

confidence: 99%

Net Nitrogen Mineralisation in Maize-Cover Crop Rotations in Mediterranean Central Chile

Salazar

Casanova

Nájera

et al. 2020

J Soil Sci Plant Nutr

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The main aim of this study was to evaluate the effects of the maize-cover crop rotation (Zm-cc) in the soil net nitrogen mineralisation (NNM) by measuring in situ NNM incubation in the upper soil (0-25 cm) during spring-summer (October-March) and autumn-winter (April-September) seasons and compared with other rotation in Mediterranean Central Chile. The study was carried out at 5 experimental fields (only irrigated in spring-summer period), where four common soil use or maizebased rotations were evaluated: permanent fallow (F-F); maize-fallow (Zm-F); maize-cover crop (Zm-cc); and permanent cover crops (cc-cc). In these fields were carried out NNM in situ determinations in F-F (n = 18), Zm-F (n = 31), Zm-cc (n = 43), and cccc (n = 51) combinations (totalise n = 143), which were collected during spring-summer and autumn-winter in different periods between 2011 and 2018. During the spring-summer period, it was found that the NNM was highest in the Zm-cc rotations with a mean value of 36 kg N ha −1 , whereas the lowest NNM values were in F-F soil use with and mean of 6 kg N ha −1. In contrast, during autumn-winter season, the NNM was highest in the F-F soil use with a mean of 34 kg N ha −1 , while the lowest NNM values were found in Zm-cc rotation with a mean of − 38 kg N ha −1. During the spring-summer period, the Zm-cc rotation had the highest NNM values because cc increased the soil organic matter (SOM) content for microbial activity, whereas in autumnwinter, the Zm-cc rotation had the lowest NNM values because the cc added fresh SOM that increased N immobilisation process.

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Ground‐based optical canopy sensing technologies for corn–nitrogen management in the Upper Midwest

et al. 2020

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Optical canopy sensing tools may improve corn (Zea mays L.) nitrogen (N) management, but their usefulness in far northern latitudes remains unclear. For this reason, the utility of SPAD, GreenSeeker normalized difference vegetation index (GS‐NDVI), RapidSCAN normalized difference vegetation index (RS‐NDVI), and RapidSCAN normalized difference red edge (RS‐NDRE) were evaluated to predict corn grain yield, plant N accumulation, and plant N deficiency in 12 site‐years throughout Minnesota. Six to seven N rates (35−45 kg urea‐N ha−1 increment) were pre‐plant applied. Canopy sensing measurements and aboveground plant N accumulation were obtained at V4, V8, V12, and R1 stages. Regardless of the tool, low predictive power of grain yield, plant N accumulation, and N deficiency occurred at V4, likely because of low crop N demand and sufficient N supply. At V8, sensors provided good estimations of grain yield (R2 = .75−.85) but underestimated the agronomic optimum nitrogen rate (AONR) by 33, 94, 102, and 46 kg N ha−1 with the SPAD, GS‐NDVI, RS‐NDVI, and RS‐NDRE, respectively. At V12 RS‐NDRE measurements provided the most accurate estimations of grain yield (R2 = .92) and AONR [R2 = .84 and N rate differential from agronomic optimum nitrogen rate (dAONR) at −2 kg N ha−1]. At R1 SPAD also provided good estimations of grain yield and N deficiency. The mismatch between the best timings for predicting N fertilizer requirements (V12 and R1) and the best timings for sidedressing (V4−V8) highlight that sensing tools may have limited utility to improve the standard maximum return to N approach in the Upper Midwest.

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Corn and soybean’s season-long in-situ nitrogen mineralization in drained and undrained soils

Cited by 28 publications

References 33 publications

Soil sample timing, nitrogen fertilization, and incubation length influence anaerobic potentially mineralizable nitrogen

Soil sample timing, nitrogen fertilization, and incubation length influence anaerobic potentially mineralizable nitrogen

Net Nitrogen Mineralisation in Maize-Cover Crop Rotations in Mediterranean Central Chile

Ground‐based optical canopy sensing technologies for corn–nitrogen management in the Upper Midwest

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