Evidence map›Paper›PMID 40204840›Full record

ArticleScientific reports2025

Selection of alfalfa water and nitrogen management regimes based on the DSSAT model.

Mingzi Lv, Delong Tian, Guoshuai Wang, Ting Fan, Weiping Li, Chenli Hou, Jie Zhou, Xianyang Miao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Mingzi LvYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.
Delong TianYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.
Guoshuai WangYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China. imau_wgs@163.com.
Ting FanYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.
Weiping LiSchool of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou, 014000, Inner Mongolia, China.
Chenli HouSchool of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou, 014000, Inner Mongolia, China.
Jie ZhouYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.
Xianyang MiaoYinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of WaterResources and Hydropower Research, Beijing, 100038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forage crop production globally faces challenges of low water and nitrogen use efficiency alongside increased environmental pressures, particularly in arid and semi-arid regions. The Hetao Irrigation District, a representative area of such regions, is characterized by limited rainfall, high evaporation, insufficient water, and severe soil salinization, which significantly hinder agricultural development. The findings from this study not only address local challenges but also provide insights applicable to other regions facing similar climatic and environmental constraints. This study aimed to optimize water and nitrogen management strategies for alfalfa production in the Hetao Irrigation District by calibrating and validating the DSSAT-FORAGES-Alfalfa model using field experimental data collected during 2022-2023. The calibration involved adjusting key parameters to minimize discrepancies between simulated and observed values, and validation was performed using an independent dataset, evaluated based on metrics such as MAE, RMSE, and R

Indexed as

Agricultural IrrigationMedicago sativaNitrogenWaterAgricultureCrops, AgriculturalFertilizersModels, TheoreticalSoilFertilizersNitrogenSoilWaterAlfalfaDSSAT modelWater and nitrogen management

Identifiers

PMID40204840
PMCPMC11982262

What OpenQuestion holds

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Registered trials

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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.