Evidence map›Paper›PMID 40989736›Full record

ArticleFrontiers in plant science2025

Effects of N-K management strategies on nutrient uptake efficiency, lodging resistance, and yield in machine-transplanted rice.

Zhixin Li, Mingming Hu, Tao Liu, Yuan Tang, Ruhongji Liu, Zhengbo Peng, Cheng Wang, Zhenglan Peng, Zhonglin Wang, Zongkui Chen and 3 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

13 authors.

Zhixin Li *Rice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Mingming Hu *Rice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Tao LiuRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Yuan TangRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Ruhongji LiuRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Zhengbo PengRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Cheng WangRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Zhenglan PengRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Zhonglin WangRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Zongkui ChenRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Zhiyuan YangRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Yongjian SunRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.
Jun MaRice Research Institute of Sichuan Agricultural University/Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Imbalanced N-K ratios reduce nutrient uptake efficiency while increasing lodging susceptibility, thereby destabilizing yield potential. Optimizing N-K ratios is therefore crucial for improving nutrient efficiency, lodging resistance, and yield potential. Methods: This study employed the hybrid indica rice cultivar F-you 498 as experimental material. Two K management strategies (basal:panicle = 10:0 and 5:5, denoted as K1 and K2) and three N application regimes (basal:tiller:panicle = 7:3:0, 5:3:2, and 3:3:4, denoted as N1, N2, and N3) were tested. Both fertilizers were applied at identical total rates of 150 kg ha Results: N-K interactions significantly affected dry matter accumulation, nutrient uptake, lodging resistance, and yield. Split potassium application (K2) increased grain yield by 3.06% compared with basal-only application (K1), by increasing productive panicles, spikelets per panicle, total spikelets, and seed-setting rate. K2 enhanced post-heading dry matter translocation and improved N-K uptake, elevating panicle N and K accumulation by 5.01% and 13.70%, respectively. K2 also significantly improved lodging resistance. Under K2, the N3 treatment further increased yield by enhancing the number of effective panicles, grains per panicle, and total spikelets, with average yield increases of 12.17% and 4.77% compared with N1 and N2, respectively. Post-heading dry matter accumulation, remobilization ratio, and contribution rate in N3 were higher than in N1 and N2, with two-year average increases of 25.54%, 5.37%, and 7.42% compared with N1, and 12.68%, 2.76%, and 2.57% compared with N2. N3 also promoted the translocation of N and K. Compared with N1 and N2, N3 increased whole-plant N translocation and N transferred to the panicle by 38.09% and 27.45%, and by 14.53% and 12.45%, respectively; whole-plant K translocation and K transferred to the panicle increased by 11.46% and 28.26%, and by 13.35% and 18.35%, respectively. Additionally, N3 improved lodging resistance by thickening internodes and stem-sheath walls. The lodging index was significantly negatively correlated with N and K accumulation in stem-sheaths. Discussion: Overall, the K2N3 combination enhances post-heading assimilate allocation and nutrient translocation in machine-transplanted rice, strengthens stem mechanical properties, optimizes panicle traits, and ultimately achieves stable and high yields.

Indexed as

K fertilizermechanical transplantedN fertilizernutrient utilizationriceyield

Identifiers

PMID40989736
PMCPMC12450872

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.