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Updated: Jul 16, 2026

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems

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Published on: August 17, 2022

Prediction-Based Family Selection in Early Stage Sugarcane Breeding: Comparing BLUP, BLUE, Phenotypic Indices, and

Farrag F B Abu-Ellail^1,2, Liping Zhao¹, Siqi Tang¹

¹State Key Laboratory of Tropical Crop Breeding, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China.

Plants (Basel, Switzerland)

|July 15, 2026

Summary

Selecting superior sugarcane families early accelerates genetic gain. Best Linear Unbiased Prediction (BLUP) with a multi-trait index effectively identifies elite families, improving breeding decisions.

Keywords:

BLUE BLUP LASSO MFIDI agreement indices family selection machine learning method comparison seedling stage sugarcane breeding

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Area of Science:

Plant breeding
Quantitative genetics
Agricultural science

Background:

Accelerating genetic gain in sugarcane relies on effective early-stage family selection.
Systematic comparisons of various selection strategies at the seedling stage are limited.

Purpose of the Study:

To evaluate and compare seven distinct selection strategies for identifying superior sugarcane families.
To determine the most effective method for discriminating elite families at the seedling stage.

Main Methods:

Utilized an augmented block design with 125 families and 10,955 seedlings.
Compared phenotypic selection, combined index (CI3), BLUP, BLUE, tiered selection, LASSO, and MFIDI.
Classified families into elite, moderate, and weak based on a standardized yield index.

Main Results:

BLUP and BLUE showed high consistency in family rankings (Spearman's ρ > 0.95).
LASSO demonstrated excellent predictive performance (AUC = 0.95) and identified key yield traits.
BLUP with a multi-trait index was most effective in discriminating elite families, with F31 and F71 consistently ranking high.

Conclusions:

BLUP combined with a multi-trait index is highly effective for early-stage sugarcane family selection.
Combining multiple selection approaches enhances decision-making in sugarcane breeding programs.
Accurate early selection is critical for maximizing genetic gain in sugarcane improvement.