Evidence map›Paper›PMID 34868135›Full record

ArticleFrontiers in plant science2021

Novel Tools for Adjusting Spatial Variability in the Early Sugarcane Breeding Stage.

Danilo Eduardo Cursi, Rodrigo Gazaffi, Hermann Paulo Hoffmann, Thiago Luis Brasco, Lucas Rios do Amaral, Durval Dourado Neto

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. 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. 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

6 authors.

Danilo Eduardo CursiLuiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil.
Rodrigo GazaffiSugarcane Breeding Program of RIDESA/UFSCar, Araras, Brazil.
Hermann Paulo HoffmannSugarcane Breeding Program of RIDESA/UFSCar, Araras, Brazil.
Thiago Luis BrascoSchool of Agricultural Engineering, University of Campinas (FEAGRI/UNICAMP), Campinas, Brazil.
Lucas Rios do AmaralSchool of Agricultural Engineering, University of Campinas (FEAGRI/UNICAMP), Campinas, Brazil.
Durval Dourado NetoLuiz de Queiroz College of Agriculture, University of São Paulo (ESALQ/USP), Piracicaba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of spatial variability in field trials has great potential for accelerating plant breeding progress due to the possibility of better controlling non-genetic variation. Therefore, we aimed to evaluate a digital soil mapping approach and a high-density soil sampling procedure for identifying and adjusting spatial dependence in the early sugarcane breeding stage. Two experiments were conducted in regions with different soil classifications. High-density sampling of soil physical and chemical properties was performed in a regular grid to investigate the structure of spatial variability. Soil apparent electrical conductivity (ECa) was measured in both experimental areas with an EM38-MK2

Indexed as

envirotypinggeostatisticsproximal sensingquantitative geneticsSaccharum officinarum L. (Poaceae)spatial variability

Identifiers

PMID34868135
PMCPMC8638809

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.