Evidence map›Paper›PMID 35295626›Full record

ReviewFrontiers in plant science2022

Enhancing Sorghum Yield Through Efficient Use of Nitrogen - Challenges and Opportunities.

Troy J Ostmeyer, Rajeev Nayan Bahuguna, M B Kirkham, Scott Bean, S V Krishna Jagadish

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
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

13 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. Inoculation withAnimals : an open access journal from MDPI · 2026
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  9. Review
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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

5 authors at 3 institutions in 2 countries.

Troy J OstmeyerDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.
Rajeev Nayan BahugunaCenter for Advanced Studies on Climate Change, Dr. Rajendra Prasad Central Agricultural University, Samastipur, India.
M B KirkhamDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.
Scott BeanGrain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, United States.
S V Krishna JagadishDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.
Kansas State University · USCenter for Grain and Animal Health Research · USCentral Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorghum is an important crop, which is widely used as food, forage, fodder and biofuel. Despite its natural adaption to resource-poor and stressful environments, increasing yield potential of sorghum under more favorable conditions holds promise. Nitrogen is the most important nutrient for crops, having a dynamic impact on all growth, yield, and grain-quality-determining processes. Thus, increasing nitrogen use efficiency (NUE) in sorghum would provide opportunities to achieve higher yield and better-quality grain. NUE is a complex trait, which is regulated by several genes. Hence, exploring genetic diversity for NUE can help to develop molecular markers associated with NUE, which can be utilized to develop high NUE sorghum genotypes with greater yield potential. Research on improving NUE in sorghum suggests that, under water-deficit conditions, traits such as stay-green and altered canopy architecture, and under favorable conditions, traits such as an optimized stay-green and senescence ratio and efficient N translocation to grain, are potential breeding targets to develop high NUE sorghum genotypes. Hence, under a wide range of environments, sorghum breeding programs will need to reconsider strategies and develop breeding programs based on environment-specific trait(s) for better adaptation and improvement in productivity and grain quality. Unprecedented progress in sensor-based technology and artificial intelligence in high-throughput phenotyping has provided new horizons to explore complex traits

Indexed as

grain qualityhigh-throughput phenotypingsensorssource-sink relationshipsstay-green

Identifiers

PMID35295626
PMCPMC8919068
OpenAlexW4214647537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.