Evidence map›Paper›PMID 25755659›Full record

ReviewFrontiers in plant science2015

Current knowledge in lentil genomics and its application for crop improvement.

Shiv Kumar, Karthika Rajendran, Jitendra Kumar, Aladdin Hamwieh, Michael Baum

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
17.1field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Large Field Screening for Resistance to Broomrape (Plants (Basel, Switzerland) · 2023
    Article
  11. Review
  12. Article
  13. Protein Biofortification in Lentils (Frontiers in plant science · 2022
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Shiv KumarBiodiversity and Integrated Gene Management Program, International Center for Agricultural Research in the Dry Areas, Rabat Morocco.
Karthika RajendranBiodiversity and Integrated Gene Management Program, International Center for Agricultural Research in the Dry Areas, Rabat Morocco.
Jitendra KumarDivision of Crop Improvement, Indian Institute of Pulses Research, Kanpur India.
Aladdin HamwiehInternational Center for Agricultural Research in the Dry Areas, Cairo Egypt.
Michael BaumInternational Center for Agricultural Research in the Dry Areas, Amman Jordan.
International Center for Agricultural Research in the Dry Areas · SYIndian Institute of Pulses Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the lentil growing countries face a certain set of abiotic and biotic stresses causing substantial reduction in crop growth, yield, and production. Until-to date, lentil breeders have used conventional plant breeding techniques of selection-recombination-selection cycle to develop improved cultivars.These techniques have been successful in mainstreaming some of the easy-to-manage monogenic traits. However, in case of complex quantitative traits, these conventional techniques are less precise. As most of the economic traits are complex, quantitative, and often influenced by environments and genotype-environment interaction, the genetic improvement of these traits becomes difficult. Genomics assisted breeding is relatively powerful and fast approach to develop high yielding varieties more suitable to adverse environmental conditions. New tools such as molecular markers and bioinformatics are expected to generate new knowledge and improve our understanding on the genetics of complex traits. In the past, the limited availability of genomic resources in lentil could not allow breeders to employ these tools in mainstream breeding program.The recent application of the next generation sequencing and genotyping by sequencing technologies has facilitated to speed up the lentil genome sequencing project and large discovery of genome-wide single nucleotide polymorphism (SNP) markers. Currently, several linkage maps have been developed in lentil through the use of expressed sequenced tag (EST) derived simple sequence repeat (SSR) and SNP markers.These maps have emerged as useful genomic resources to identify quantitative trait loci imparting tolerance to biotic and abiotic stresses in lentil. In this review, the current knowledge on available genomic resources and its application in lentil breeding program are discussed.

Indexed as

lentilmarker assisted selection (MAS)molecular markersquantitative trait loci (QTL) mappingsingle nucleotide polymorphism (SNP)

Identifiers

PMID25755659
PMCPMC4337236
OpenAlexW2064066222

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.