Evidence map›Paper›PMID 39891745›Full record

ReviewPlanta2025

Haplotype breeding: fast-track the crop improvements.

Vijay Kamal Meena, R Thribhuvan, Vishal Dinkar, Ashish Bhatt, Saurabh Pandey, Abhinav, Dilshad Ahmad, Amarjeet Kumar, Ashutosh Singh

Abstract readReview
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In one paragraph

Review in Planta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Vijay Kamal Meena *Agriculture Research Substation, Agriculture University (Jodhpur), Sumerpur, Pali, Rajasthan, 306902, India.
R Thribhuvan *Division of Crop Improvement, ICAR-CRIJAF, Barrackpore, Kolkata, West Bengal, 700121, India.
Vishal Dinkar *ICAR-Indian Institute of Pulse Research, Kanpur, UP, 208024, India.
Ashish BhattGovind Ballabh Pant University of Agriculture and Technology, US Nagar, Pantnagar, Uttarakhand, 263145, India.
Saurabh PandeyDepartment of Plant Molecular Biology and Biotechnology, IGKV, Raipur, Chhattisgarh, 492012, India.
AbhinavMotilal Nehru National Institute of Technology, Prayagraj, UP, 211004, India.
Dilshad AhmadDepartment of Centre of Excellence on Soybean Processing and Utilisation, ICAR-Central Institute of Agricultural Engineering, Bhopal, MP, 462038, India.
Amarjeet KumarDepartment of Genetics and Plant Breeding, College of Agriculture (CAU, Imphal), Kyrdemkulai, Meghalaya, 793104, India.
Ashutosh SinghCentre for Advanced Studies on Climate Change, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, 848125, India. singh.ashutosh026@gmail.com.ORCID http://orcid.org/0000-0001-9431-6548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionHaplotype-based breeding unleashed the genetic variations of unexplored germplasms and integration with recent genomics tools accelerated the genetic gain and address the present challenges of food security by climate change. Climate change is linked to unforeseen abiotic stresses and changes in the patterns of pests and diseases. Hence, it is necessary to use novel methods to detect genetic variations to mitigate the adverse effects on crops by climate change. Genomic-assisted breeding methods are strategies that improve the efficiency of breeding cereal crops in a dynamic environment. These methods detect differences in the structure of single nucleotide polymorphisms (SNPs) throughout the population. The decrease in sequencing costs has enabled the thorough sequencing of crop genomes, resulting in the discovery of millions of SNPs. By using statistical tests, it is possible to integrate these SNPs into a limited number of haplotype blocks. This allows for a more comprehensive analysis of how variation is distributed and segregated within a population. Therefore, the use of haplotype-based breeding shows great potential as a tool for creating tailored crop varieties. The process entails the identification of superior haplotypes and their use in breeding operations. The haplotype-based breeding (HBB) technique utilizes genome sequence data to identify specific allelic variations that accelerate the breeding cycle and overcome linkage drag difficulties. This study aims to present the idea of HBB, examine the connection between haplotype breeding and conventional breeding, and analyze the benefits and current advancements of HBB, with a specific focus on cereal crops.

Indexed as

Crops, AgriculturalHaplotypesPlant BreedingClimate ChangeGenome, PlantPolymorphism, Single NucleotideCerealsClimate changeGenomicsGenomics-assisted breedingLinkage disequilibriumSequencingSNP

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.