Evidence map›Paper›PMID 41081913›Full record

ReviewPlanta2025

Next-generation molecular breeding tools to harness higher genetic gains in sugarcane.

Amaresh, Nunavath Aswini, Gopalareddy Krishnappa, A Anna Durai, R Manimekalai, H K Mahadeva Swamy, T Lakshmi Pathy, Vinayaka, V G Dhanya, N D Rathan and 7 more

Abstract readReview
PubMed Publisher
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 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

17 authors.

AmareshICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India. amaresh@icar.gov.in.
Nunavath AswiniICAR-National Institute of Biotic Stress Management, Raipur, 493225, India.
Gopalareddy KrishnappaNational Institute of Seed Science and Technology, Mau Regional Station, Bengaluru, 560065, India.
A Anna DuraiICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
R ManimekalaiICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
H K Mahadeva SwamyICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
T Lakshmi PathyICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
VinayakaICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
V G DhanyaICAR-Sugarcane Breeding Institute, RC, Kannur, 670 002, India.
N D RathanCorteva Agriscience, Hyderabad, Telangana, 500081, India.
S NandakumarCorteva Agriscience, Hyderabad, Telangana, 500081, India.
K ShwethaICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
V SreenivasaICAR-Indian Institute of Horticultural Research, Bengaluru, 560089, India.
R T MaruthiICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
G S SureshaICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
G HemaprabhaICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.
P GovindarajICAR-Sugarcane Breeding Institute, Coimbatore, 641 007, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionNext-generation molecular tools with AI integration can accelerate genetic gain in sugarcane by enhancing variation, accuracy, and efficiency, enabling rapid development of high-yielding, high-quality, and climate-resilient varieties. Enhancing genetic gain is essential for sustainable sugar and bioenergy production, especially amid growing global reliance on renewable energy sources. Sugarcane and its byproducts serve as important feedstocks for both first and second-generation biofuels, and face several breeding challenges due to its genetic complexity, extended breeding cycles, and strong environmental interactions. The breeder's equation offers a quantitative framework to accelerate genetic improvement by optimizing four key components: additive genetic variation (σ

Indexed as

Plant BreedingSaccharumGenetic VariationGenome, PlantGenotypeBreeding cycle timeGenetic gainGenome editingGenomic selectionSelection accuracySugarcane

Identifiers

PMID41081913

What OpenQuestion holds

Textmetadata
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.