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Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat

Precise quantification of plant nitrogen (N) nutrition status is essential for crop N management. The concept of critical N concentration (Nc) has been widely used for assessment of plant N status. This study aimed to develop a new winter wheat Nc dilution curve based on leaf area duration (LAD). Fo...

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Autores principales: Wang, Xiaolong, Ye, Tianyang, Ata-Ul-Karim, Syed Tahir, Zhu, Yan, Liu, Leilei, Cao, Weixing, Tang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591374/
https://www.ncbi.nlm.nih.gov/pubmed/28928757
http://dx.doi.org/10.3389/fpls.2017.01517
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author Wang, Xiaolong
Ye, Tianyang
Ata-Ul-Karim, Syed Tahir
Zhu, Yan
Liu, Leilei
Cao, Weixing
Tang, Liang
author_facet Wang, Xiaolong
Ye, Tianyang
Ata-Ul-Karim, Syed Tahir
Zhu, Yan
Liu, Leilei
Cao, Weixing
Tang, Liang
author_sort Wang, Xiaolong
collection PubMed
description Precise quantification of plant nitrogen (N) nutrition status is essential for crop N management. The concept of critical N concentration (Nc) has been widely used for assessment of plant N status. This study aimed to develop a new winter wheat Nc dilution curve based on leaf area duration (LAD). Four field experiments were performed on different cultivars with different N fertilization modes in the Yangtze River basin and Yellow River basin in China. Results showed that the increase in LAD with increasing cumulative thermal time took the shape of an “S” type curve; whereas shoot N concentration decreased with increasing LAD, according to a power function. Both LAD and shoot N concentration increased with increasing N application. The new LAD based Nc dilution curve was determined and described as Nc = 1.6774 LAD(−0.37) when LAD > 0.13. However, when LAD ≤ 0.13, Nc was constant and can be calculated by the equation when LAD = 0.13. The validation of Nc dilution curve with dataset acquired from independent experiments confirmed that N nutrition index (NNI) predictions based on the newly established Nc dilution curve could precisely diagnose N deficiency at different plant growth stages. The integrated N nutrition index (NNI(inte)), which was obtained by the weighted mean of NNI, was used to estimate shoot N concentration, shoot dry matter, LAD, and yield using regression functions. The linear relationships between NNI(inte) and these growth variables were well correlated. These results provided enough evidence that the new LAD–based Nc dilution curve could effectively and precisely diagnoses N deficiency in winter wheat crops.
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spelling pubmed-55913742017-09-19 Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat Wang, Xiaolong Ye, Tianyang Ata-Ul-Karim, Syed Tahir Zhu, Yan Liu, Leilei Cao, Weixing Tang, Liang Front Plant Sci Plant Science Precise quantification of plant nitrogen (N) nutrition status is essential for crop N management. The concept of critical N concentration (Nc) has been widely used for assessment of plant N status. This study aimed to develop a new winter wheat Nc dilution curve based on leaf area duration (LAD). Four field experiments were performed on different cultivars with different N fertilization modes in the Yangtze River basin and Yellow River basin in China. Results showed that the increase in LAD with increasing cumulative thermal time took the shape of an “S” type curve; whereas shoot N concentration decreased with increasing LAD, according to a power function. Both LAD and shoot N concentration increased with increasing N application. The new LAD based Nc dilution curve was determined and described as Nc = 1.6774 LAD(−0.37) when LAD > 0.13. However, when LAD ≤ 0.13, Nc was constant and can be calculated by the equation when LAD = 0.13. The validation of Nc dilution curve with dataset acquired from independent experiments confirmed that N nutrition index (NNI) predictions based on the newly established Nc dilution curve could precisely diagnose N deficiency at different plant growth stages. The integrated N nutrition index (NNI(inte)), which was obtained by the weighted mean of NNI, was used to estimate shoot N concentration, shoot dry matter, LAD, and yield using regression functions. The linear relationships between NNI(inte) and these growth variables were well correlated. These results provided enough evidence that the new LAD–based Nc dilution curve could effectively and precisely diagnoses N deficiency in winter wheat crops. Frontiers Media S.A. 2017-09-04 /pmc/articles/PMC5591374/ /pubmed/28928757 http://dx.doi.org/10.3389/fpls.2017.01517 Text en Copyright © 2017 Wang, Ye, Ata-Ul-Karim, Zhu, Liu, Cao and Tang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Wang, Xiaolong
Ye, Tianyang
Ata-Ul-Karim, Syed Tahir
Zhu, Yan
Liu, Leilei
Cao, Weixing
Tang, Liang
Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title_full Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title_fullStr Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title_full_unstemmed Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title_short Development of a Critical Nitrogen Dilution Curve Based on Leaf Area Duration in Wheat
title_sort development of a critical nitrogen dilution curve based on leaf area duration in wheat
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591374/
https://www.ncbi.nlm.nih.gov/pubmed/28928757
http://dx.doi.org/10.3389/fpls.2017.01517
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