Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.

In order to investigate the feasibility of using rice critical nitrogen concentration as a nitrogen nutrition diagnosis index, a two-year positioning field gradient experiment using four rice varieties and four nitrogen levels (0, 75, 150, 225 kg·ha-1 for early rice; 0, 90, 180, 270 kg·ha-1 for late...

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Autores principales:	Chun Ye, Ying Liu, Jizhong Liu, Yanda Li, Binfeng Sun, Shifu Shu, Luofa Wu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5dff8d6f334b488282d8e44efc94b30f
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spelling	oai:doaj.org-article:5dff8d6f334b488282d8e44efc94b30f2021-12-02T20:04:28ZSimulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.1932-620310.1371/journal.pone.0259204https://doaj.org/article/5dff8d6f334b488282d8e44efc94b30f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259204https://doaj.org/toc/1932-6203In order to investigate the feasibility of using rice critical nitrogen concentration as a nitrogen nutrition diagnosis index, a two-year positioning field gradient experiment using four rice varieties and four nitrogen levels (0, 75, 150, 225 kg·ha-1 for early rice; 0, 90, 180, 270 kg·ha-1 for late rice) was conducted for early and late rice. The critical dilution curves (Nc%) of the double-cropped rice based on leaf dry matter (LDM) were constructed and verified using the field data. Two critical nitrogen dilution curves and nitrogen nutrition indexes (NNI) of rice LDM were constructed for early rice [Nc% = 2.66LDM-0.79, R2 = 0.88, NNI ranged between 0.29-1.74, and the average normalized root mean square error (n-RMSE = 19.35%)] and late rice [Nc% = 7.46LDM-1.42, R2 = 0.91, NNI was between 0.55-1.53, and the average (n-RMSE = 15.14%)]. The relationship between NNI and relative yield was a quadratic polynomial equation and suggested that the optimum nitrogen application rate for early rice was sightly smaller than 150 kg·ha-1, and that for late rice was about 180 kg·ha-1. The developed critical nitrogen concentration dilution curves, based on leaf dry matter, were able to diagnose nitrogen nutrition in the double-cropped rice region.Chun YeYing LiuJizhong LiuYanda LiBinfeng SunShifu ShuLuofa WuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259204 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chun Ye Ying Liu Jizhong Liu Yanda Li Binfeng Sun Shifu Shu Luofa Wu Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
description	In order to investigate the feasibility of using rice critical nitrogen concentration as a nitrogen nutrition diagnosis index, a two-year positioning field gradient experiment using four rice varieties and four nitrogen levels (0, 75, 150, 225 kg·ha-1 for early rice; 0, 90, 180, 270 kg·ha-1 for late rice) was conducted for early and late rice. The critical dilution curves (Nc%) of the double-cropped rice based on leaf dry matter (LDM) were constructed and verified using the field data. Two critical nitrogen dilution curves and nitrogen nutrition indexes (NNI) of rice LDM were constructed for early rice [Nc% = 2.66LDM-0.79, R2 = 0.88, NNI ranged between 0.29-1.74, and the average normalized root mean square error (n-RMSE = 19.35%)] and late rice [Nc% = 7.46LDM-1.42, R2 = 0.91, NNI was between 0.55-1.53, and the average (n-RMSE = 15.14%)]. The relationship between NNI and relative yield was a quadratic polynomial equation and suggested that the optimum nitrogen application rate for early rice was sightly smaller than 150 kg·ha-1, and that for late rice was about 180 kg·ha-1. The developed critical nitrogen concentration dilution curves, based on leaf dry matter, were able to diagnose nitrogen nutrition in the double-cropped rice region.
format	article
author	Chun Ye Ying Liu Jizhong Liu Yanda Li Binfeng Sun Shifu Shu Luofa Wu
author_facet	Chun Ye Ying Liu Jizhong Liu Yanda Li Binfeng Sun Shifu Shu Luofa Wu
author_sort	Chun Ye
title	Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
title_short	Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
title_full	Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
title_fullStr	Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
title_full_unstemmed	Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.
title_sort	simulation of the critical nitrogen dilution curve in jiangxi double-cropped rice region based on leaf dry matter weight.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5dff8d6f334b488282d8e44efc94b30f
work_keys_str_mv	AT chunye simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT yingliu simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT jizhongliu simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT yandali simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT binfengsun simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT shifushu simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight AT luofawu simulationofthecriticalnitrogendilutioncurveinjiangxidoublecroppedriceregionbasedonleafdrymatterweight
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Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight.

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