Evidence map›Paper›PMID 41501342›Full record

ArticleScientific reports2026

Selection for high-yielding sugarcane ideotypes and multi-trait selection via MGIDI across different harvesting periods improves sugar quality and yield.

Mohsen Barajehfard, Mahmoud Fazli, Mahmoud Fooladvand, Maryam Salami, Piergiorgio Stevanato, Bahram Heidari

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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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

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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

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

6 authors.

Mohsen BarajehfardDepartment of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 7144165186, Iran.
Mahmoud FazliDepartment of Biotechnology and Plant Breeding, Sugarcane and By-products Development Research Training Institute of Khuzestan, Khuzestan, Iran.
Mahmoud FooladvandDepartment of Biotechnology and Plant Breeding, Sugarcane and By-products Development Research Training Institute of Khuzestan, Khuzestan, Iran.
Maryam SalamiDepartment of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 7144165186, Iran.
Piergiorgio StevanatoDepartment of Agronomy, Animals, Natural Resources and Environment- DAFNAE, University of Padova, 35020, Legnaro, PD, Italy.
Bahram HeidariDepartment of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 7144165186, Iran. bheidari@shirazu.ac.ir.ORCID http://orcid.org/0000-0002-5856-4592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating sugar-related traits at different harvesting times is crucial for determining the best times to harvest in order to maximize yield and minimize losses from over-ripening. This study investigated the genetic and agronomic potential of 30 sugarcane (Saccharum officinarum L.) genotypes across multiple growth stages (395–480 days after sowing, DAS) to optimize sugar yield (SY) and processing quality through advanced selection methodologies. By utilizing the Multi-Trait Genotype-Ideotype Distance Index (MGIDI) and Pesek–Baker Index (PBI), elite genotypes such as G09 and G07 were identified, showing superior sugar content (brix = 16.6–17.8%; commercial cane sugar, CCS = 9.13–10%) and stable SY (12.68–13.41 t ha⁻¹). Factor analysis revealed three latent drivers of productivity, explaining 88% of total variability. High heritability (> 80% for CCS and total recoverable sugar, TRS) and high genetic advance (> 15%) were recorded for sugar-related traits, particularly at the mid-late stages of growth (454–480 DAS). Regression analysis identified stem yield, polarization, and stalk diameter as primary contributors to SY, explaining 79% of the variance. Temporal trends confirmed progressive sucrose accumulation peaking at 480 DAS, with high genotypic coefficient of variation (GCV) in RS and CCS observed in the early stage of growth. The integration of MGIDI and PBI prioritized purity as an industrial-critical trait (PBI = 2.75). While G23 and G11 performed poorly, the genotypes G03 and G05 had high SY (> 13 t ha⁻¹). In conclusion, this study emphasizes the importance of using a trait-weighted- based selection index, temporal trait evaluation and multi-index selection in breeding programs of sugarcane to develop cultivars with synchronized high sugar content and yield stability.

Indexed as

SaccharumSelection, GeneticSugarsGenotypePhenotypePlant BreedingSugarsBrixGenetic gainsMGIDIPesek–BakerRecoverable sugarSugar yield

Identifiers

PMID41501342
PMCPMC12858979

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.