Evidence map›Paper›PMID 34276796›Full record

ArticleFrontiers in genetics2021

Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (

Marlee R Labroo, Jauhar Ali, M Umair Aslam, Erik Jon de Asis, Madonna A Dela Paz, M Anna Sevilla, Alexander E Lipka, Anthony J Studer, Jessica E Rutkoski

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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.

Marlee R LabrooDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Jauhar AliRice Breeding Platform, International Rice Research Institute, Los Baños, Philippines.
M Umair AslamRice Breeding Platform, International Rice Research Institute, Los Baños, Philippines.
Erik Jon de AsisRice Breeding Platform, International Rice Research Institute, Los Baños, Philippines.
Madonna A Dela PazRice Breeding Platform, International Rice Research Institute, Los Baños, Philippines.
M Anna SevillaRice Breeding Platform, International Rice Research Institute, Los Baños, Philippines.
Alexander E LipkaDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Anthony J StuderDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Jessica E RutkoskiDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybrid rice varieties can outyield the best inbred varieties by 15 - 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advantage in high-yielding environments. The development of stress-tolerant hybrid rice with lowered input requirements could increase hybrid rice yield relative to production costs. We used genomic prediction to evaluate the combining abilities of 564 stress-tolerant lines used to develop Green Super Rice with 13 male sterile lines of the International Rice Research Institute for yield-related traits. We also evaluated the performance of their F

Indexed as

best linear unbiased predictionbreedinggeneral combining abilitygenomic selectionhybrid rice

Identifiers

PMID34276796
PMCPMC8278103

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.