Evidence map›Paper›PMID 35991570›Full record

ReviewFrontiers in genetics2022

Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits.

Mintu Ram Meena, Chinnaswamy Appunu, R Arun Kumar, R Manimekalai, S Vasantha, Gopalareddy Krishnappa, Ravinder Kumar, S K Pandey, G Hemaprabha

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  16. Phenotyping ofPlant phenomics (Washington, D.C.) · 2023
    Article
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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

9 authors.

Mintu Ram MeenaRegional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India.
Chinnaswamy AppunuICAR-Sugarcane Breeding Institute, Coimbatore, India.
R Arun KumarICAR-Sugarcane Breeding Institute, Coimbatore, India.
R ManimekalaiICAR-Sugarcane Breeding Institute, Coimbatore, India.
S VasanthaICAR-Sugarcane Breeding Institute, Coimbatore, India.
Gopalareddy KrishnappaICAR-Sugarcane Breeding Institute, Coimbatore, India.
Ravinder KumarRegional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India.
S K PandeyRegional Centre, ICAR-Sugarcane Breeding Institute, Karnal, India.
G HemaprabhaICAR-Sugarcane Breeding Institute, Coimbatore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in sugarcane breeding have contributed significantly to improvements in agronomic traits and crop yield. However, the growing global demand for sugar and biofuel in the context of climate change requires further improvements in cane and sugar yields. Attempts to achieve the desired rates of genetic gain in sugarcane by conventional breeding means are difficult as many agronomic traits are genetically complex and polygenic, with each gene exerting small effects. Unlike those of many other crops, the sugarcane genome is highly heterozygous due to its autopolyploid nature, which further hinders the development of a comprehensive genetic map. Despite these limitations, many superior agronomic traits/genes for higher cane yield, sugar production, and disease/pest resistance have been identified through the mapping of quantitative trait loci, genome-wide association studies, and transcriptome approaches. Improvements in traits controlled by one or two loci are relatively easy to achieve; however, this is not the case for traits governed by many genes. Many desirable phenotypic traits are controlled by quantitative trait nucleotides (QTNs) with small and variable effects. Assembling these desired QTNs by conventional breeding methods is time consuming and inefficient due to genetic drift. However, recent developments in genomics selection (GS) have allowed sugarcane researchers to select and accumulate desirable alleles imparting superior traits as GS is based on genomic estimated breeding values, which substantially increases the selection efficiency and genetic gain in sugarcane breeding programs. Next-generation sequencing techniques coupled with genome-editing technologies have provided new vistas in harnessing the sugarcane genome to look for desirable agronomic traits such as erect canopy, leaf angle, prolonged greening, high biomass, deep root system, and the non-flowering nature of the crop. Many desirable cane-yielding traits, such as single cane weight, numbers of tillers, numbers of millable canes, as well as cane quality traits, such as sucrose and sugar yield, have been explored using these recent biotechnological tools. This review will focus on the recent advances in sugarcane genomics related to genetic gain and the identification of favorable alleles for superior agronomic traits for further utilization in sugarcane breeding programs.

Indexed as

genomic estimated breeding valuegenomic selectionhigh-throughput phenomicsnext-generation sequencingsuperior agronomic traits

Identifiers

PMID35991570
PMCPMC9382102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.