Evidence map›Paper›PMID 39717729›Full record

ArticleFrontiers in plant science2024

Multivariate analysis between environmental factors and fruit quality of citrus at the core navel orange-producing area in China.

Xiaoxuan Yu, Chao Du, Xiaojun Wang, Fengying Gao, Jing Lu, Xinyue Di, Xia Zhuang, Chen Cheng, Fengxian Yao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Xiaoxuan YuSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Chao DuSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Xiaojun WangSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Fengying GaoSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Jing LuSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Xinyue DiSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, China.
Xia ZhuangNational Navel Orange Engineering Research Center, School of Life Sciences, Gannan Normal University, Ganzhou, China.
Chen ChengNational Navel Orange Engineering Research Center, School of Life Sciences, Gannan Normal University, Ganzhou, China.
Fengxian YaoNational Navel Orange Engineering Research Center, School of Life Sciences, Gannan Normal University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gannan is the largest navel orange production area in China. Most studies have primarily focused on the effects of either soil or topographic factors on the quality of navel oranges. However, there has been a lack of research exploring the relationship between navel orange quality and multiple environmental factors (meteorological, topographic, and soil). This study focused on Gannan navel oranges, selecting standard orchards in the core navel orange-producing area as the research region. It employed the Partial Least Squares Regression (PLSR) method to investigate the extent of the impact of environmental factors on fruit quality. The results indicated that the effect of soil factors on fruit shape and fruit flavor was greater than that of meteorological and topographic factors in the Gannan area. And the fruit peel is more uniformly influenced by environmental factors. Based on the degree of impact of various environmental factors, multiple regression equations for fruit quality have been established to identify the optimal conditions conducive to the comprehensive development of Gannan navel oranges. These findings help determine the optimal planting areas for Gannan navel oranges, providing practical evidence for the future development of navel oranges.

Indexed as

fruit qualitymeteorological factormodel effectsoil factortopographic factor

Identifiers

PMID39717729
PMCPMC11664551

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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.