Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China
Accurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield...
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Format: | Article |
Language: | English |
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Czech Academy of Agricultural Sciences
2017-11-01
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Series: | Plant, Soil and Environment |
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Online Access: | https://pse.agriculturejournals.cz/artkey/pse-201711-0003_using-quefts-model-for-estimating-nutrient-requirements-of-maize-in-the-northeast-china.php |
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author | Wenting JIANG Xiaohu LIU Wen QI Xiaonan XU Yucui ZHU |
author_facet | Wenting JIANG Xiaohu LIU Wen QI Xiaonan XU Yucui ZHU |
author_sort | Wenting JIANG |
collection | DOAJ |
description | Accurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield, and using the QUEFTS model to estimate the balanced nutrition at different yield potential. The average grain yield was 10 427 kg/ha, and average internal efficiencies were 54.3, 251.5 and 78.2 kg grain per kg plant nitrogen (N), phosphorus (P) and potassium (K), respectively. With the harvest index values < 0.40 as outliers were excluded, the model simulated a linear-parabolic-plateau curve for the balanced N, P and K uptake when the initial yield target increased to the yield potential levels of 10 000 to 14 000 kg/ha. When the yield target reached approximately 60-70% of the yield potential, 16.7 kg N, 3.8 kg P, and 11.4 kg K were required to produce 1000 kg grain. The corresponding internal efficiencies were 60.0, 265.7 and 88.0 kg grain per kg plant N, P and K, respectively. These results contributed to improving nutrient use efficiency, and to demonstrate that the QUEFTS model could be a promising approach for estimating the balanced nutrition. |
first_indexed | 2024-04-10T08:08:12Z |
format | Article |
id | doaj.art-17ad5b6c51694dc59a4656b5847814a5 |
institution | Directory Open Access Journal |
issn | 1214-1178 1805-9368 |
language | English |
last_indexed | 2024-04-10T08:08:12Z |
publishDate | 2017-11-01 |
publisher | Czech Academy of Agricultural Sciences |
record_format | Article |
series | Plant, Soil and Environment |
spelling | doaj.art-17ad5b6c51694dc59a4656b5847814a52023-02-23T03:46:32ZengCzech Academy of Agricultural SciencesPlant, Soil and Environment1214-11781805-93682017-11-01631149850410.17221/417/2017-PSEpse-201711-0003Using QUEFTS model for estimating nutrient requirements of maize in the Northeast ChinaWenting JIANG0Xiaohu LIUWen QI1Xiaonan XU2Yucui ZHU3College of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. ChinaCollege of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. ChinaCollege of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. ChinaCollege of Land and Environment, Shenyang Agriculture University, Shenyang, Liaoning, P.R. ChinaAccurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield, and using the QUEFTS model to estimate the balanced nutrition at different yield potential. The average grain yield was 10 427 kg/ha, and average internal efficiencies were 54.3, 251.5 and 78.2 kg grain per kg plant nitrogen (N), phosphorus (P) and potassium (K), respectively. With the harvest index values < 0.40 as outliers were excluded, the model simulated a linear-parabolic-plateau curve for the balanced N, P and K uptake when the initial yield target increased to the yield potential levels of 10 000 to 14 000 kg/ha. When the yield target reached approximately 60-70% of the yield potential, 16.7 kg N, 3.8 kg P, and 11.4 kg K were required to produce 1000 kg grain. The corresponding internal efficiencies were 60.0, 265.7 and 88.0 kg grain per kg plant N, P and K, respectively. These results contributed to improving nutrient use efficiency, and to demonstrate that the QUEFTS model could be a promising approach for estimating the balanced nutrition.https://pse.agriculturejournals.cz/artkey/pse-201711-0003_using-quefts-model-for-estimating-nutrient-requirements-of-maize-in-the-northeast-china.phpzea mays l.nutrient uptakeinternal efficiencyfertilizationproduction |
spellingShingle | Wenting JIANG Xiaohu LIU Wen QI Xiaonan XU Yucui ZHU Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China Plant, Soil and Environment zea mays l. nutrient uptake internal efficiency fertilization production |
title | Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China |
title_full | Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China |
title_fullStr | Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China |
title_full_unstemmed | Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China |
title_short | Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China |
title_sort | using quefts model for estimating nutrient requirements of maize in the northeast china |
topic | zea mays l. nutrient uptake internal efficiency fertilization production |
url | https://pse.agriculturejournals.cz/artkey/pse-201711-0003_using-quefts-model-for-estimating-nutrient-requirements-of-maize-in-the-northeast-china.php |
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