Evidence map›Paper›PMID 33602134›Full record

ArticleBMC plant biology2021

Functional gene assessment of bread wheat: breeding implications in Ningxia Province.

Weijun Zhang, Junjie Zhao, Jinshang He, Ling Kang, Xiaoliang Wang, Fuguo Zhang, Chenyang Hao, Xiongfeng Ma, Dongsheng Chen

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. 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
1.5field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  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

9 authors at 3 institutions in 2 countries.

Weijun Zhang *Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China.
Junjie Zhao *State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Jinshang HeCrop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China.
Ling KangCrop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China.
Xiaoliang WangCrop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China.
Fuguo ZhangCrop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China.
Chenyang HaoKey Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. haochenyang@caas.cn.
Xiongfeng MaState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China. maxiongfeng@caas.cn.
Dongsheng ChenCrop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, Ningxia, China. cdsnky@163.com.ORCID http://orcid.org/0000-0003-0872-5711
Ningxia Academy of Agriculture and Forestry Sciences · CNCotton Research Institute · CNMinistry of Agriculture · EE

Funding

Introduction of KASP technology and its application in identification and evaluation of wheat germplasm resources in Ningxia DWHZC-2017006Ningxia Agricultural Breeding Project 2018NYYZ02Ningxia Province central guidance local science and technology development project 2020YDDF0056
6 · The paper itself

Abstract

backgroundThe overall genetic distribution and divergence of cloned genes among bread wheat varieties that have occurred during the breeding process over the past few decades in Ningxia Province, China, are poorly understood. Here, we report the genetic diversities of 44 important genes related to grain yield, quality, adaptation and resistance in 121 Ningxia and 86 introduced wheat cultivars and advanced lines.

resultsThe population structure indicated characteristics of genetic components of Ningxia wheat, including landraces of particular genetic resources, introduced varieties with rich genetic diversities and modern cultivars in different periods. Analysis of allele frequencies showed that the dwarfing alleles Rht-B1b at Rht-B1 and Rht-D1b at Rht-D1, 1BL/1RS translocation, Hap-1 at GW2-6B and Hap-H at Sus2-2B are very frequently present in modern Ningxia cultivars and in introduced varieties from other regions but absent in landraces. This indicates that the introduced wheat germplasm with numerous beneficial genes is vital for broadening the genetic diversity of Ningxia wheat varieties. Large population differentiation between modern cultivars and landraces has occurred in adaptation genes. Founder parents carry excellent allele combinations of important genes, with a higher number of favorable alleles than modern cultivars. Gene flow analysis showed that six founder parents have greatly contributed to breeding improvement in Ningxia Province, particularly Zhou 8425B, for yield-related genes.

conclusionsVarieties introduced from other regions with rich genetic diversity and landraces with well-adapted genetic resources have been applied to improve modern cultivars. Founder parents, particularly Zhou 8425B, for yield-related genes have contributed greatly to wheat breeding improvement in Ningxia Province. These findings will greatly benefit bread wheat breeding in Ningxia Province as well as other areas with similar ecological environments.

Indexed as

Adaptation, PhysiologicalAllelesChinaGene FrequencyPlant BreedingPlant ProteinsTriticumPlant ProteinsFounder parentsFunctional markersKASPNingxia wheat

Identifiers

PMID33602134
PMCPMC7893757
OpenAlexW3129726357

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.