Evidence map›Paper›PMID 39328797›Full record

ArticleFrontiers in plant science2024

Screening key sorghum germplasms for low-nitrogen tolerance at the seedling stage and identifying from the carbon and nitrogen metabolism.

Chunjuan Liu, Wendong Gu, Bang Li, Yihao Feng, Chang Liu, Xiaolong Shi, Yufei Zhou

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Chunjuan Liu *College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.
Wendong Gu *College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.
Bang LiCollege of Agronomy and Horticulture, Liaoning Agricultural Vocational and Technical College, Yingkou, Liaoning, China.
Yihao FengCollege of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.
Chang LiuCollege of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.
Xiaolong ShiCollege of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.
Yufei ZhouCollege of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sorghum ( Materials and methods: This study assessed low-N tolerance in 100 sorghum-inbred lines and identified those with exceptional resilience. Principal component analysis, Pearson's correlation, and Y value analysis were used to examine various seedling growth metrics, including plant and root dimensions, biomass, chlorophyll content, root N content, shoot N content, and root/shoot ratio. Results and discussion: The genotypes were categorized into four distinct groups based on their respective Y values, revealing a spectrum from highly tolerant to sensitive. Low-N-tolerant sorghum lines maintained higher photosynthetic rates and exhibited increased enzymatic activities linked to carbon and N metabolism in the leaves and roots. Furthermore, low-N-tolerant genotypes had higher levels of key amino acids, including cystine, glycine, histidine, isoleucine, leucine, phenylalanine, threonine, and tyrosine, indicating a robust internal metabolic response to N deficiency. Conclusion: This study provides a comprehensive and reliable approach for the evaluation of sorghum tolerance to low-N environments, sheds light on its morphological and physiological adaptations, and provides valuable insights for future breeding programs and agricultural practices.

Indexed as

C metabolismgenotypic variationlow-N tolerance screeningN metabolismphenotypeSorghum bicolor

Identifiers

PMID39328797
PMCPMC11424420

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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.