A New Method for Winter Wheat Critical Nitrogen Curve Determination. (1st November 2013)
- Record Type:
- Journal Article
- Title:
- A New Method for Winter Wheat Critical Nitrogen Curve Determination. (1st November 2013)
- Main Title:
- A New Method for Winter Wheat Critical Nitrogen Curve Determination
- Authors:
- Chen, Pengfei
Zhu, Yunqiang - Abstract:
- Abstract : As a plant‐based N diagnostic tool, critical N curves can be used to adjust the N input in a field according to the crop demand. Because the existing critical N curve determination methods may overestimate the critical N point, making the designed N curve above the actual one, this study presents an improved method to overcome this drawback. An N experiment was conducted during 2 yr (2010–2012) using different winter wheat ( Triticum aestivum L.) cultivars in the northwestern plain of Shandong Province, China. Shoot biomass and N concentration were sampled weekly during the growing season. A new method for designing critical N curves was developed based on the existing N curve determination method and the t ‐test inversion. Using the above data set, the new and existing methods for designing a critical N curve were compared, and the effects of the different cultivars on the proposed N curve were evaluated. The results showed that the critical N curves generated using existing methods can successfully classify N‐limited plants but fail to classify non‐N‐limited plants, however, the critical N curve determined using the new method was able to classify both N‐limited and non‐N‐limited plants satisfactorily. Cross‐validation showed that the new method exhibited a highest total correct classification rate of 76%, while the existing methods displayed total correct classification rates below 64%. Additionally, the proposed critical N curve is robust within species withinAbstract : As a plant‐based N diagnostic tool, critical N curves can be used to adjust the N input in a field according to the crop demand. Because the existing critical N curve determination methods may overestimate the critical N point, making the designed N curve above the actual one, this study presents an improved method to overcome this drawback. An N experiment was conducted during 2 yr (2010–2012) using different winter wheat ( Triticum aestivum L.) cultivars in the northwestern plain of Shandong Province, China. Shoot biomass and N concentration were sampled weekly during the growing season. A new method for designing critical N curves was developed based on the existing N curve determination method and the t ‐test inversion. Using the above data set, the new and existing methods for designing a critical N curve were compared, and the effects of the different cultivars on the proposed N curve were evaluated. The results showed that the critical N curves generated using existing methods can successfully classify N‐limited plants but fail to classify non‐N‐limited plants, however, the critical N curve determined using the new method was able to classify both N‐limited and non‐N‐limited plants satisfactorily. Cross‐validation showed that the new method exhibited a highest total correct classification rate of 76%, while the existing methods displayed total correct classification rates below 64%. Additionally, the proposed critical N curve is robust within species within the same region. Thus, the new method may be useful for N management in the field. … (more)
- Is Part Of:
- Agronomy Journal. Volume 105:Number 6(2013)
- Journal:
- Agronomy Journal
- Issue:
- Volume 105:Number 6(2013)
- Issue Display:
- Volume 105, Issue 6 (2013)
- Year:
- 2013
- Volume:
- 105
- Issue:
- 6
- Issue Sort Value:
- 2013-0105-0006-0000
- Page Start:
- 1839
- Page End:
- 1846
- Publication Date:
- 2013-11-01
- Subjects:
- Agronomy -- Periodicals
630 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.2134/agronj2013.0257 ↗
- Languages:
- English
- ISSNs:
- 0002-1962
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12761.xml