Evidence map›Paper›PMID 27769176›Full record

ArticleBMC plant biology2016

Genome-wide association analysis of forage quality in maize mature stalk.

Hongwu Wang, Kun Li, Xiaojiao Hu, Zhifang Liu, Yujin Wu, Changling Huang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 70 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Hongwu WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Kun LiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaojiao HuInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhifang LiuInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yujin WuInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Changling HuangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. huangchangling@caas.cn.
Chinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant digestibility of silage maize (Zea mays L.) has a large influence on nutrition intake for animal feeding. Improving forage quality will enhance the utilization efficiency and feeding value of forage maize. Dissecting the genetic basis of forage quality will improve our understanding of the complex nature of cell wall biosynthesis and degradation, which is also helpful for breeding good quality silage maize.

resultsAcid detergent fiber (ADF), neutral detergent fiber (NDF) and in vitro dry matter digestibility (IVDMD) of stalk were evaluated in a diverse maize population, which is comprised of 368 inbred lines and planted across seven environments. Using a mixed model accounting for population structure and polygenic background effects, a genome-wide association study was conducted to identify single nucleotide polymorphisms (SNPs) significantly associated with forage quality. Scanning 559,285 SNPs across the whole genome, 73, 41 and 82 SNPs were found to be associated with ADF, NDF, and IVDMD, respectively. Each significant SNP explained 4.2 %-6.2 % of the phenotypic variation. Underlying these associated loci, 56 genes were proposed as candidate genes for forage quality.

conclusionsOf all the candidate genes proposed by GWAS, we only found a C3H gene (ZmC3H2) that is directly involved in cell wall component biosynthesis. The candidate genes found in this study are mainly involved in signal transduction, stress resistance, and transcriptional regulation of cell wall biosynthetic gene expression. Adding high digestibility maize into the association panel would be helpful for increasing genetic variability and identifying more genes associated with forage quality traits. Cloning and functional validation of these genes would be helpful for understanding the molecular mechanism of the fiber content and digestibility. These findings provide us new insights into cell wall formation and deposition.

Indexed as

Genome, PlantAnimal FeedAnimal Nutritional Physiological PhenomenaAnimalsDigestionGenome-Wide Association StudyPlant BreedingZea maysDigestibilityForage qualityGenome-wide associationMaize

Identifiers

PMID27769176
PMCPMC5073832
OpenAlexW2534190663

What OpenQuestion holds

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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.