Evidence map›Paper›PMID 39533819›Full record

SynthesisJournal of the science of food and agriculture2025

Site-specific effects of fertilizer on hay and grain yields of oats: evidence from large-scale field experiments.

Liping Mao, Hongbo Zhang, Zengnan Yang, Yuan Li, Yuying Shen

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the science of food and agriculture, 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

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

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

5 authors.

Liping MaoState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems of Lanzhou University, Qingyang National Field Scientific Observation and Research Station of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Hongbo ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems of Lanzhou University, Qingyang National Field Scientific Observation and Research Station of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Zengnan YangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems of Lanzhou University, Qingyang National Field Scientific Observation and Research Station of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yuan LiState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems of Lanzhou University, Qingyang National Field Scientific Observation and Research Station of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0000-0003-1047-0690
Yuying ShenState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems of Lanzhou University, Qingyang National Field Scientific Observation and Research Station of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.

Funding

China Agricultural Research System-34 (CARS-34)Gansu Provincial Cold and Arid Agricultural Science and Technology Project (GSLK-2022-18)Key Technology Integration and Demonstration for Improving Quality and Efficiency of High-Quality Forage Grass in Arid Regions of Huan County (2022YFD1602102)
6 · The paper itself

Abstract

backgroundOat (Avena sativa L.) is a valuable crop due to its strong adaptability to marginal environments, making it an important component of agricultural systems in regions where other cereals may not thrive. The application of chemical fertilizer can influence oat hay and grain yield significantly. However, large-scale meta-analytical studies of the size and variability of oat hay and grain yields in response to fertilizer addition are still lacking. Based on 83 studies worldwide, this meta-analysis quantifies the impact of the addition of fertilizer on oat hay and grain yields under varying environmental conditions (e.g., soil nutrient levels, texture, and climate).

resultsThe results confirmed that the fertilizer application increased oat hay yield by 48.9% and grain yield by 36.2%. This study demonstrated that balanced fertilization with nitrogen, phosphorus, and potassium generally enhances oat hay and grain yield despite large temporal and spatial variations. Boosted regression tree (BRT) models suggest that changes in hay and grain yield were primarily dominated by soil pH and nitrogen fertilizer. The response ratio (the natural logarithm of the mean values of hay yield or grain yield with and without fertilization, respectively) of hay yield declined linearly with soil pH. Elevation was the second most important factor affecting the change in response ratio of hay yield and the third most important factor affecting the change in response ratio of grain yield but climatic conditions were not the dominant factors affecting changes in oat hay or grain yield.

conclusionOverall, these results will benefit producers considering site-specific fertilization management of oat. They could increase yields and save investment in fertilizer, and help to facilitate the genetic breeding of oat varieties with high nutrient use efficiency. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

AvenaCrop ProductionFertilizersAnimal FeedNitrogenPhosphorusPotassiumSoilFertilizersNitrogenPhosphorusPotassiumSoilaltitudeboosted regression treeenvironmental factormanagerial factorsmeta‐analysissoil pH

Identifiers

PMID39533819
PMCPMC11824918

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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.