Evidence map›Paper›PMID 39408630›Full record

ArticleInternational journal of molecular sciences2024

Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize.

Pardeep Kumar, Mukesh Choudhary, Seema Sheoran, Ningthai Longmei, Bhupender Kumar, Bahadur Singh Jat, Manesh Chander Dagla, Bharat Bhushan, Sumit Kumar Aggarwal, Pravin Kumar Bagaria and 2 more

Abstract read
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Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Pardeep KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Mukesh ChoudharyICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0003-2828-4829
Seema SheoranICAR-Indian Agricultural Research Institute Regional Station, Karnal 132001, India.
Ningthai LongmeiICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Bhupender KumarICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Bahadur Singh JatICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Manesh Chander DaglaICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Bharat BhushanICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0001-9244-209X
Sumit Kumar AggarwalICAR-Indian Institute of Maize Research, Ludhiana 141004, India.ORCID 0000-0002-2411-6492
Pravin Kumar BagariaICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Ankush SharmaICAR-Indian Institute of Maize Research, Ludhiana 141004, India.
Shyam Bir SinghICAR-Indian Institute of Maize Research, Ludhiana 141004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize is a highly versatile crop holding significant importance in global food, feed and nutritional security. Grain yield is a complex trait and difficult to improve without targeting the improvement of grain yield attributing traits, which are relatively less complex in nature. Hence, considering the erosion in genetic diversity, there is an urgent need to use wild relatives for genetic diversification and unravel the genomic regions for grain yield attributing traits in maize. Thus, the current study aimed to identify quantitative trait loci (QTLs) linked with grain yield and yield attributing traits. Two BC

Indexed as

Edible GrainPhenotypeQuantitative Trait LociZea maysChromosome MappingCrosses, GeneticGenome, PlantGenotypePlant BreedingAB-QTLpopulationQTLs mappingteosintewild

Identifiers

PMID39408630
PMCPMC11476406

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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.