2014
DOI: 10.17221/188/2014-pse
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Winter wheat agronomic traits and nitrate leaching under variable nitrogen fertilization

Abstract: In the long-term field trial on an arable dystric Stagnosols, winter wheat (Triticum aestivum L.) grain yield, nitrogen use efficiency (NUE) and nitrate nitrogen

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Cited by 5 publications
(8 citation statements)
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“…Next to nitrogen availability, the most significant factors affecting wheat grain quality and quantity also include climatic conditions [76][77][78][79]. Despite the ongoing advancement of agrotechnology and improvement of crop varieties, weather is still the main uncontrolled factor affecting agricultural production [78,80].…”
Section: Resultsmentioning
confidence: 99%
“…Next to nitrogen availability, the most significant factors affecting wheat grain quality and quantity also include climatic conditions [76][77][78][79]. Despite the ongoing advancement of agrotechnology and improvement of crop varieties, weather is still the main uncontrolled factor affecting agricultural production [78,80].…”
Section: Resultsmentioning
confidence: 99%
“…The potential nitrates in groundwater did not represent a significant driver of ME variance. This following the negligible risk of leaching under Mediterranean conditions at a fertilization rate <200 kg·N·ha −1 split between sowing and stem elongation [42,45], which was applied as BG and LB for the uncertainty range of N–NO 3 − losses. Likewise, the possibility of rescue irrigation water (with respect to the rainfed cultivation applied as BG and LB in the study) did not substantially affect uncertainty of WD at the crop phase, which appeared mainly affected by the variance of up-stream water input along the supply chains of agricultural machineries and other agronomic auxiliaries.…”
Section: Resultsmentioning
confidence: 99%
“…Table 1 shows the best guess (BG) value (the best estimated value used in this study) and the uncertaintyrange for each agronomic foreground input and output related to wheat cultivation in Campania Region, as retrieved from regional technical specifications [39], statistics [38] and pertinent scientific literature [41,42,43,44,45,46,47,48,49,50,51]. In detail, specific agronomic input data were collected: from the site preparation until the harvest operation, considering type of agricultural machineries, seeding operations, type and application rate of mineral fertilizers and the other auxiliary chemicals.…”
Section: Methodsmentioning
confidence: 99%
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