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- W4308309871 endingPage "108737" @default.
- W4308309871 startingPage "108737" @default.
- W4308309871 abstract "Yield-scaled nitrous oxide (N2O) emission (YSNE) has been recognized as a means for developing appropriate nitrogen (N) management strategies to balance food security and mitigating N2O emissions. To better understand and use the concept of YSNE, it is essential to be assessed under various field conditions. The main objectives of this study were to assess the relationship between N inputs and YSNE with published results and identify response patterns of YSNE to N inputs. We assessed the relationship between N inputs and YSNE using published results encompassing 1800 observations (published from 1980 to 2020) from maize, rice, and wheat crops worldwide. Background yield-scaled N2O emission (BYSNE; a YSNE in the condition of zero N input) was significantly different by crop type. Rice (90.8 ± 12.9 g N2O−N Mg−1) had lower BYSNE compared to maize (174.2 ± 30.1 g N2O−N Mg−1) and wheat (325.4 ± 41.8 g N2O−N Mg−1). BYSNE was positively correlated with annual mean temperature in maize, rice, and wheat fields. BYSNE was negatively correlated with soil total nitrogen contents in rice fields. Over 60% data set showed a positive relationship between N inputs and YSNE in all three crops studied. A small proportion of the dataset had an optimum N rate that minimized YSNE. The results suggest that in general, lower N input rates result in lower YSNE in crop production. YSNE can be reduced in three ways: increasing yields (Type 1), reducing N2O emissions (Type 2), and both increasing yields and reducing N2O emissions (Type 3). To identify appropriate measures, we suggest a N2O emission-yield curve combining responses of yields and N2O emissions to N inputs. In type 1, 2, and 3 measures, an N2O emission-yield curve is shifted to the right, down, and both right and down, respectively. Through identifying direction and magnitude of the shifting, the effects of applied measures on yields and N2O emission in N input levels can be easily compared and recognized. This study provided insights into the nature of YSNE and how YSNE responds to N inputs. It also suggested an N2O emission-yield curve, which can be useful to identify how certain measures affect both N2O emissions and crop yields. The information can be useful for scientific community and policymakers developing appropriate N management strategies to balance food security and the mitigation of N2O emissions." @default.
- W4308309871 created "2022-11-10" @default.
- W4308309871 creator A5012976963 @default.
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- W4308309871 date "2023-01-01" @default.
- W4308309871 modified "2023-10-16" @default.
- W4308309871 title "Understanding response of yield-scaled N2O emissions to nitrogen input: Data synthesis and introducing new concepts of background yield-scaled N2O emissions and N2O emission-yield curve" @default.
- W4308309871 cites W1133130733 @default.
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- W4308309871 cites W1969248251 @default.
- W4308309871 cites W1969927507 @default.
- W4308309871 cites W1971991115 @default.
- W4308309871 cites W1978843237 @default.
- W4308309871 cites W1982487747 @default.
- W4308309871 cites W1990464038 @default.
- W4308309871 cites W2041282815 @default.
- W4308309871 cites W2043215801 @default.
- W4308309871 cites W2047623205 @default.
- W4308309871 cites W2055943900 @default.
- W4308309871 cites W2057964032 @default.
- W4308309871 cites W2081757228 @default.
- W4308309871 cites W2084017898 @default.
- W4308309871 cites W2094494764 @default.
- W4308309871 cites W2111991450 @default.
- W4308309871 cites W2112122115 @default.
- W4308309871 cites W2115181983 @default.
- W4308309871 cites W2117989164 @default.
- W4308309871 cites W2120329512 @default.
- W4308309871 cites W2123699526 @default.
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- W4308309871 cites W2168745915 @default.
- W4308309871 cites W2170813263 @default.
- W4308309871 cites W2170887361 @default.
- W4308309871 cites W2179705214 @default.
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- W4308309871 doi "https://doi.org/10.1016/j.fcr.2022.108737" @default.
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