Evidence map›Paper›PMID 40822717›Full record

ArticleFrontiers in plant science2025

Genotype-by-environment interaction influencing sensory attributes and biochemical components of peanuts from China.

Yueyi Tang, Shining Cao, Chushu Zhang, Weidong Hu, Haixiang Zhou, Mian Wang, Lifei Zhu, Jing Chen, Jun Zhang, Jiancheng Zhang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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. Multi-environment evaluations reveal that peanut (Frontiers in plant science · 2026
    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

10 authors.

Yueyi TangShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Shining CaoShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Chushu ZhangShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Weidong HuCollege of Agriculture, Jilin Agricultural University, Changchun, China.
Haixiang ZhouShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Mian WangShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Lifei ZhuShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Jing ChenShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.
Jun ZhangCollege of Agriculture, Jilin Agricultural University, Changchun, China.
Jiancheng ZhangShandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peanuts are a vital global crop and healthy food, valued for their nutritional and physiological benefits. Their sensory attributes and biochemical composition, which determine taste and nutritional quality, are influenced by multiple factors. Thirteen peanut genotypes were cultivated across three locations using a randomized block design. This study presents the first application through combined ANOVA (analysis of variance) and the GGE (Genotype and Genotype by Environment) biplot in sensory attribute evaluation research. The primary objectives are to: (1) characterize the sensory attributes of the tested genotypes; (2) analyze the genotype-environment interaction (GEI) effects; and (3) screen optimal varieties (lines) adapted to specific environmental conditions. Results: Significant differences were observed among genotypes and locations, and the G×E interactions for sensory quality and biochemical components of the tested peanuts. In GGE bioplot analysis, S9 was the best performer with crunchiness, fineness, sweetness, and overall acceptability, and L10 was the best performer in Large-seeded genotypes in overall acceptability. S9, S25, HY20, HY33, and HY20 was the best genotype at 3 locations in sucrose, oleic acid, linoleic acid, palmitic acid, and oil, respectively. Weifang (WF) demonstrated potential for producing high-quality peanuts for processing. In addition, there is an evident correlation between the biochemical components of peanut raw kernels and the sensory quality of roasted kernels. Among them, high-oleic peanuts exhibited superior crunchiness, sweetness, and roasted flavor, while high-oil varieties were less sweet with weaker flavor. High-protein peanuts were sweeter but more delicate. Proanthocyanidins positively correlated with bitterness/off-flavor and negatively with crunchiness, sweetness, and acceptability. High vitamin E reduced roasted flavor intensity. Conclusion: Genotype, environment, and their interactions significantly impact peanut sensory and nutritional traits. High oleic acid and low proanthocyanidin content are critical for desirable sensory quality in this study. Lines S9 and L10 provide genetic resources for breeding, while Weifang's climate supports premium peanut production. This data guides peanut cultivation in similar latitudes/climates.

Indexed as

Arachis hypogaea L.fatty acidsflavorG×Eoilproanthocyanidinproteinsucrose

Identifiers

PMID40822717
PMCPMC12354597

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LicenceCC BY
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Registered trials

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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.