Evidence map›Paper›PMID 28352970›Full record

ReviewPlant cell reports2017

Quantitative trait loci from identification to exploitation for crop improvement.

Jitendra Kumar, Debjyoti Sen Gupta, Sunanda Gupta, Sonali Dubey, Priyanka Gupta, Shiv Kumar

Abstract readReview
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In one paragraph

Review in Plant cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  14. Increasing Fruit Weight by Editing aFrontiers in plant science · 2022
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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

6 authors.

Jitendra KumarDivision of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India. Jitendra.Kumar@icar.gov.in.
Debjyoti Sen GuptaDivision of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India.
Sunanda GuptaDivision of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India.
Sonali DubeyDivision of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India.
Priyanka GuptaDivision of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India.
Shiv KumarInternational Center for Agricultural Research in the Dry Areas (ICARDA), Rabat-Institutes, B.P. 6299, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancement in the field of genetics and genomics after the discovery of Mendel's laws of inheritance has led to map the genes controlling qualitative and quantitative traits in crop plant species. Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine after the advent of different types of molecular markers. Recently, the next generation sequencing methods have accelerated the research on QTL analysis. These efforts have led to the identification of more closely linked molecular markers with gene/QTLs and also identified markers even within gene/QTL controlling the trait of interest. Efforts have also been made towards cloning gene/QTLs or identification of potential candidate genes responsible for a trait. Further new concepts like crop QTLome and QTL prioritization have accelerated precise application of QTLs for genetic improvement of complex traits. In the past years, efforts have also been made in exploitation of a number of QTL for improving grain yield or other agronomic traits in various crops through markers assisted selection leading to cultivation of these improved varieties at farmers' field. In present article, we reviewed QTLs from their identification to exploitation in plant breeding programs and also reviewed that how improved cultivars developed through introgression of QTLs have improved the yield productivity in many crops.

Indexed as

BreedingChromosome MappingCrops, AgriculturalGenome, PlantGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingQuantitative Trait LociBi-and multi parental mappingCandidate geneCrop QTLomeGenetic variationGWASMarker assisted selectionMolecular markersQTL cloningQuantitative trait lociQuantitative traits

Identifiers

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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.