Evidence map›Paper›PMID 36970602›Full record

ArticleOpen life sciences2023

On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies.

Xia Zhao, ShuaiLi Wang, Tao Wen, Jiamin Xu, Bao Huang, Shufeng Yan, Gangqiang Gao, Yali Zhao, Hongping Li, Jiangfang Qiao and 5 more

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Article in Open life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Xia ZhaoCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
ShuaiLi WangCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Tao WenCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Jiamin XuCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Bao HuangCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Shufeng YanCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Gangqiang GaoCollege of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
Yali ZhaoCollege of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
Hongping LiCollege of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
Jiangfang QiaoCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.
Jinliang YangDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583-0915, USA.
Lianhai WuSustainable Soils and Grassland Systems Department, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK.
Hongwei WangWancheng District Public Complaints and Proposals Bureau, Henan, Nanyang 473000, China.
Tianxue LiuCollege of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
Xinyuan MuCereal Institute, Henan Academy of Agricultural Sciences/Henan International Joint Laboratory on Maize Precision Production, Zhengzhou 450002, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the canopy spectral reflection characteristics of different N-efficient maize varieties and analyzing the relationship between their growth indicators and spectral vegetation indices can help the breeding and application of N-efficient maize varieties. To achieve the optimal management of N fertilizer resources, developing N-efficient maize varieties is necessary. In this research, maize varieties, i.e., the low-N-efficient (Zhengdan 958, ZD958), the high-N efficient (Xianyu 335, XY335), the double-high varieties (Qiule 368, QL368), and the double inefficient-type varieties (Yudan 606 YD606), were used as materials. Results indicate that nitrogen fertilization significantly increased the vegetation indices NDVI, GNDVI, GOSAVI, and RVI of maize varieties with different nitrogen efficiencies. These findings were consistent with the performance of yield, dry matter mass, and leaf nitrogen content and were also found highest under both medium and high nitrogen conditions in the double-high variety QL368. The correlations of dry matter quality, leaf nitrogen content, yield, and vegetation indices (NDVI, GNDVI, RVI, and GOSAVI) at the filling stage of different N-efficient maize varieties were all highly significant and positive. In this relationship, the best effect was found at the filling stages, with correlation coefficients reaching 0.772-0.942, 0.774-0.970, 0754-0.960, and 0.800-0.960. The results showed that the yield, dry matter weight, and leaf nitrogen content of maize varieties with different nitrogen efficiencies increased first and then stabilized with the increase in the nitrogen application level in different periods, and the highest nitrogen application level of maize yield should be between 270 and 360 kg/hm

Indexed as

dry matter contentleaf nitrogen contentmaizenitrogen efficiencyvegetation indices

Identifiers

PMID36970602
PMCPMC10037165

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