Evidence map›Paper›PMID 34691100›Full record

ArticleFrontiers in plant science2021

Increased Predictive Accuracy of Multi-Environment Genomic Prediction Model for Yield and Related Traits in Spring Wheat (

Vipin Tomar, Daljit Singh, Guriqbal Singh Dhillon, Yong Suk Chung, Jesse Poland, Ravi Prakash Singh, Arun Kumar Joshi, Yogesh Gautam, Budhi Sagar Tiwari, Uttam Kumar

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Improving hybrid breeding efficiency in winter oilseed rape under sparse multi-environment testing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

10 authors.

Vipin TomarBorlaug Institute for South Asia, Ludhiana, India.
Daljit SinghDepartment of Plant Pathology, Kansas State University, Manhattan, KS, United States.
Guriqbal Singh DhillonDepartment of Biotechnology, Thapar Institute of Engineering & Technology, Patiala, India.
Yong Suk ChungDepartment of Plant Resources and Environment, Jeju National University, Jeju-si, South Korea.
Jesse PolandDepartment of Plant Pathology, Kansas State University, Manhattan, KS, United States.
Ravi Prakash SinghGlobal Wheat Program, International Maize and Wheat Improvement Center, Texcoco, Mexico.
Arun Kumar JoshiBorlaug Institute for South Asia, Ludhiana, India.
Yogesh GautamBorlaug Institute for South Asia, Ludhiana, India.
Budhi Sagar TiwariDepartment of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India.
Uttam KumarBorlaug Institute for South Asia, Ludhiana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection (GS) has the potential to improve the selection gain for complex traits in crop breeding programs from resource-poor countries. The GS model performance in multi-environment (ME) trials was assessed for 141 advanced breeding lines under four field environments

Indexed as

best linear unbiased predictionsgenomic selection (GS)genomics predictionsgenotyping by sequencingmulti-environmentssingle-environmentwheat

Identifiers

PMID34691100
PMCPMC8531512

What OpenQuestion holds

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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.