A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China
In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropica...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
HUANG, Shanyu [verfasserIn] MIAO, Yuxin [verfasserIn] CAO, Qiang [verfasserIn] YAO, Yinkun [verfasserIn] ZHAO, Guangming [verfasserIn] YU, Weifeng [verfasserIn] SHEN, Jianning [verfasserIn] YU, Kang [verfasserIn] BARETH, Georg [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Pedosphere - Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006, 28, Seite 814-822 |
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| Übergeordnetes Werk: |
volume:28 ; pages:814-822 |
| DOI / URN: |
10.1016/S1002-0160(17)60392-8 |
|---|
| Katalog-ID: |
ELV000852597 |
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| 520 | |a In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. | ||
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10.1016/S1002-0160(17)60392-8 doi (DE-627)ELV000852597 (ELSEVIER)S1002-0160(17)60392-8 DE-627 ger DE-627 rda eng 550 DE-600 HUANG, Shanyu verfasserin aut A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management MIAO, Yuxin verfasserin aut CAO, Qiang verfasserin aut YAO, Yinkun verfasserin aut ZHAO, Guangming verfasserin aut YU, Weifeng verfasserin aut SHEN, Jianning verfasserin aut YU, Kang verfasserin aut BARETH, Georg verfasserin aut Enthalten in Pedosphere Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006 28, Seite 814-822 Online-Ressource (DE-627)51321934X (DE-600)2238707-9 (DE-576)273651633 2210-5107 nnns volume:28 pages:814-822 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 28 814-822 |
| spelling |
10.1016/S1002-0160(17)60392-8 doi (DE-627)ELV000852597 (ELSEVIER)S1002-0160(17)60392-8 DE-627 ger DE-627 rda eng 550 DE-600 HUANG, Shanyu verfasserin aut A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management MIAO, Yuxin verfasserin aut CAO, Qiang verfasserin aut YAO, Yinkun verfasserin aut ZHAO, Guangming verfasserin aut YU, Weifeng verfasserin aut SHEN, Jianning verfasserin aut YU, Kang verfasserin aut BARETH, Georg verfasserin aut Enthalten in Pedosphere Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006 28, Seite 814-822 Online-Ressource (DE-627)51321934X (DE-600)2238707-9 (DE-576)273651633 2210-5107 nnns volume:28 pages:814-822 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 28 814-822 |
| allfields_unstemmed |
10.1016/S1002-0160(17)60392-8 doi (DE-627)ELV000852597 (ELSEVIER)S1002-0160(17)60392-8 DE-627 ger DE-627 rda eng 550 DE-600 HUANG, Shanyu verfasserin aut A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management MIAO, Yuxin verfasserin aut CAO, Qiang verfasserin aut YAO, Yinkun verfasserin aut ZHAO, Guangming verfasserin aut YU, Weifeng verfasserin aut SHEN, Jianning verfasserin aut YU, Kang verfasserin aut BARETH, Georg verfasserin aut Enthalten in Pedosphere Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006 28, Seite 814-822 Online-Ressource (DE-627)51321934X (DE-600)2238707-9 (DE-576)273651633 2210-5107 nnns volume:28 pages:814-822 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 28 814-822 |
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10.1016/S1002-0160(17)60392-8 doi (DE-627)ELV000852597 (ELSEVIER)S1002-0160(17)60392-8 DE-627 ger DE-627 rda eng 550 DE-600 HUANG, Shanyu verfasserin aut A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management MIAO, Yuxin verfasserin aut CAO, Qiang verfasserin aut YAO, Yinkun verfasserin aut ZHAO, Guangming verfasserin aut YU, Weifeng verfasserin aut SHEN, Jianning verfasserin aut YU, Kang verfasserin aut BARETH, Georg verfasserin aut Enthalten in Pedosphere Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006 28, Seite 814-822 Online-Ressource (DE-627)51321934X (DE-600)2238707-9 (DE-576)273651633 2210-5107 nnns volume:28 pages:814-822 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 28 814-822 |
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10.1016/S1002-0160(17)60392-8 doi (DE-627)ELV000852597 (ELSEVIER)S1002-0160(17)60392-8 DE-627 ger DE-627 rda eng 550 DE-600 HUANG, Shanyu verfasserin aut A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management MIAO, Yuxin verfasserin aut CAO, Qiang verfasserin aut YAO, Yinkun verfasserin aut ZHAO, Guangming verfasserin aut YU, Weifeng verfasserin aut SHEN, Jianning verfasserin aut YU, Kang verfasserin aut BARETH, Georg verfasserin aut Enthalten in Pedosphere Beijing : Institute of Soil Science, Chinese Academy of Sciences, 2006 28, Seite 814-822 Online-Ressource (DE-627)51321934X (DE-600)2238707-9 (DE-576)273651633 2210-5107 nnns volume:28 pages:814-822 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 28 814-822 |
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HUANG, Shanyu @@aut@@ MIAO, Yuxin @@aut@@ CAO, Qiang @@aut@@ YAO, Yinkun @@aut@@ ZHAO, Guangming @@aut@@ YU, Weifeng @@aut@@ SHEN, Jianning @@aut@@ YU, Kang @@aut@@ BARETH, Georg @@aut@@ |
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HUANG, Shanyu |
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HUANG, Shanyu ddc 550 misc japonica rice misc nitrogen nutrition index misc nitrogen use efficiency misc plant nitrogen concentration misc precision nitrogen management A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China |
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550 DE-600 A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China japonica rice nitrogen nutrition index nitrogen use efficiency plant nitrogen concentration precision nitrogen management |
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A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China |
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HUANG, Shanyu MIAO, Yuxin CAO, Qiang YAO, Yinkun ZHAO, Guangming YU, Weifeng SHEN, Jianning YU, Kang BARETH, Georg |
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a new critical nitrogen dilution curve for rice nitrogen status diagnosis in northeast china |
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A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China |
| abstract |
In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. |
| abstractGer |
In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. |
| abstract_unstemmed |
In-season diagnosis of crop nitrogen (N) status is crucial for precision N management. Critical N (Nc) dilution curve and N nutrition index (NNI) have been proposed as effective methods to diagnose N status of different crops. The Nc dilution curves have been developed for indica rice in the tropical and temperate zones and japonica rice in the subtropical-temperate zone, but they have not been evaluated for short-season japonica rice in Northeast China. The objectives of this study were to evaluate the previously developed Nc dilution curves for rice in Northeast China and to develop a more suitable Nc dilution curve in this region. A total of 17 N rate experiments were conducted in Sanjiang Plain, Heilongjiang Province in Northeast China from 2008 to 2013. The results indicated that none of the two previously developed Nc dilution curves was suitable to diagnose N status of the short-season japonica rice in Northeast China. A new Nc dilution curve was developed and can be described by the equation Nc = 27.7W− 0.34 if W ≥ 1 Mg dry matter (DM) ha−1 or Nc = 27.7 g kg−1 DM if W < 1 Mg DM ha−1, where W is the aboveground biomass. This new curve was lower than the previous curves. It was validated using a separate dataset, and it could discriminate non-N-limiting and N-limiting nutritional conditions. Additional studies are needed to further evaluate it for diagnosing N status of different rice cultivars in Northeast China and develop efficient non-destructive methods to estimate NNI for practical applications. |
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A New Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China |
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