Evidence map›Paper›PMID 37840976›Full record

ArticleBreeding science2023

Development of a multicriteria decision-making model for evaluating hybrid offspring in the sweetpotato (

Wei Xiang, Kailong Li, Fang Dong, Ya Zhang, Qiang Zeng, Ling Jiang, Daowei Zhang, Yanlan Huang, Liang Xiao, Zhuo Zhang and 1 more

Abstract read
In one paragraph

Article in Breeding science, 2023. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Wei XiangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Kailong LiPlant Protection Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Fang DongCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Ya ZhangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Qiang ZengCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Ling JiangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Daowei ZhangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Yanlan HuangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Liang XiaoCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, Hunan, PR China.
Zhuo ZhangPlant Protection Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.
Chaofan ZhangCrop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, Hunan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweetpotato variety breeding is always a long process. Screening of hybrid offspring is dominated by empirical judgment in this process. Data analysis and decision fatigue have been troubling breeders. In recent years, the low-efficiency screening mode has been unable to meet the requirements of sweetpotato germplasm innovation. Therefore, it is necessary to construct a high-efficiency method that can screen germplasms for different usages, for mining elite genotypes, and to create dedicated sweetpotato varieties. In this article, the multicriteria decision-making (MCDM) model was constructed based on six agronomic traits, including fresh root yield, vine length, vine diameter, branch number, root number and the spatial distribution of storage roots, and five quality traits, including dry matter content, marketable root yield, uniformity of roots, starch content and the edible quality score. Among these, the edible quality score was calculated by using fuzzy comprehensive evaluation to integrate the sensory scores of color, odor, sweetness, stickiness and fibrous taste. The MCDM model was compared with the traditional screening method via an evaluation in 25 sweetpotato materials. The interference of subjective factors on the evaluation results was significantly reduced. The MCDM model is more overall, more accurate and faster than the traditional screening method in the selection of elite sweetpotato materials. It could be programmed to serve the breeders in combination with the traditional screening method.

Indexed as

analytic hierarchy process (AHP)entropy methodfuzzy comprehensive evaluationmulticriteria decision-making (MCDM)sweetpotato

Identifiers

PMID37840976
PMCPMC10570886

What Socratic holds

Textmetadata
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 Socratic graph.