Evidence map›Paper›PMID 29746499›Full record

ArticlePloS one2018

Quantitative evaluation of variation in defoliation traits among sugarcane genotypes.

Youzong Huang, Heyang Shang, Yuzhi Xu, Hongtao Jiang, Shiqiang Xu, Muqing Zhang

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2018. 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

6 authors.

Youzong HuangGuangxi Cooperation and Innovation Center of Sugar Industry, Guangxi University, Nanning, Guangxi, China.
Heyang ShangGuangxi Cooperation and Innovation Center of Sugar Industry, Guangxi University, Nanning, Guangxi, China.
Yuzhi XuState Key Lab of Conservation and Utilization of Agric-Biological Resources, Guangxi University, Nanning, Guangxi, China.
Hongtao JiangGuangxi Cooperation and Innovation Center of Sugar Industry, Guangxi University, Nanning, Guangxi, China.
Shiqiang XuState Key Lab of Conservation and Utilization of Agric-Biological Resources, Guangxi University, Nanning, Guangxi, China.
Muqing ZhangGuangxi Cooperation and Innovation Center of Sugar Industry, Guangxi University, Nanning, Guangxi, China.ORCID 0000-0003-3138-3422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of easily defoliating sugarcane varieties is urgently needed to facilitate efficient mechanical harvesting, reduce production costs, and increase sugar yield in China. In order to quantify the defoliation characteristics of sugarcane, we investigated eight traits in two field experiments with a range of sugarcane varieties at maturity. The length (LSR) and angle (ASR) of the sheath ruptured from the stalk, defoliation force (DF), and self-defoliation (SD) were the traits with the greatest contribution to the quantitative assessment of sugarcane defoliation based on a principal component analysis, which accounted for more than 75% of the cumulative variability. A small set of traits, namely SD, ASR, and DF measured at the 10th leaf were selected as predictors. Using these predictors, 37 out of 38 sugarcane cultivars were correctly classified into three groups (easy, difficult and intermediate in terms of ease of defoliation) that had been clustered based on six traits. These simplified measurements will be applied to screen new lines in the sugarcane breeding program in China.

Indexed as

Genetic VariationPlant BreedingQuantitative Trait LociChinaGenetic MarkersGenotypePhenotypePlant LeavesSaccharumGenetic Markers

Identifiers

PMID29746499
PMCPMC5944984

What OpenQuestion holds

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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.