Evidence map›Paper›PMID 28583066›Full record

ArticleBMC plant biology2017

Identification of genetic loci associated with crude protein and mineral concentrations in alfalfa (Medicago sativa) using association mapping.

Congjun Jia, Xinming Wu, Min Chen, Yunqi Wang, Xiqiang Liu, Pan Gong, Qingfang Xu, Xuemin Wang, Hongwen Gao, Zan Wang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 38 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

10 authors at 5 institutions in 1 country.

Congjun JiaInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xinming WuInstitute of Animal Husbandry and Veterinary Science, Shanxi Academy of Agricultural Sciences, Taiyuan, 030032, China.
Min ChenInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yunqi WangInstitute of Animal Husbandry and Veterinary Science, Shanxi Academy of Agricultural Sciences, Taiyuan, 030032, China.
Xiqiang LiuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Pan GongInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Qingfang XuCollege of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, China.
Xuemin WangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Hongwen GaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Zan WangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. wangzan@caas.cn.
Institute of Animal Sciences · CNChinese Academy of Agricultural Sciences · CNAnimal Science Research Institute · CNShanxi Academy of Agricultural Sciences · CNShanxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlfalfa (Medicago sativa) is one of the most important legume forage species in China and many other countries of the world. It provides a quality source of proteins and minerals to animals. Genetic underpinnings for these important traits, however, are elusive. An alfalfa (M. sativa) association mapping study for six traits, namely crude protein (CP), rumen undegraded protein (RUP), and four mineral elements (Ca, K, Mg and P), was conducted in three consecutive years using a large collection encompassing 336 genotypes genotyped with 85 simple sequence repeat (SSR) markers.

resultsAll the traits were significantly influenced by genotype, environment, and genotype × environment interaction. Eight-five significant associations (P < 0.005) were identified. Among these, five associations with Ca were repeatedly observed and six co-localized associations were identified.

conclusionsThe identified marker alleles significantly associated with the traits provided important information for understanding genetic controls of alfalfa quality. The markers could be used in assisting selection for the individual traits in breeding populations for developing new alfalfa cultivars.

Indexed as

Food QualityGenome-Wide Association StudyMedicago sativaMicrosatellite RepeatsMineralsNutritive ValuePhenotypePlant ProteinsMineralsPlant ProteinsAlfalfaAssociation mappingCrude proteinMineral elementsSimple sequence repeat (SSR)

Identifiers

PMID28583066
PMCPMC5460482
OpenAlexW2622989162

What OpenQuestion holds

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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.