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<p>Sugarcane productivity is greatly affected by genotype-by-cropping year interaction, especially when considering the successive plant and ratoon cycles that differ in their seasonal and physiological characteristics. This study investigated 20 sugarcane clones across three different crop cycles (Plant I, Plant II, and ratoon) to evaluate yield performance, sugar quality characteristics, and stability using joint ANOVA, AMMI, and REML/BLUP-based WAASB analysis. Highly significant (<i>p</i> ≤ 0.01) genotype, year of cropping, and genotype-by-cropping year interaction were found for all characters. Clones 2018A 6, 2018A 157, and 2018A 88 performed better than commercial standards for cane yield and sugar yield characters. Cane yield had the highest heritability (h<sup>2</sup> = 0.42), genetic coefficient of variation (11.74), selection accuracy (0.87), and a ratio of coefficient of variation (CV) greater than one, emphasizing its stability and potential for direct genetic improvement in sugarcane breeding programs. The Genotype × Environment Interaction Ratio (GEIr<sup>2</sup>) ratio was highest for the number of millable canes (0.56) and brix percentage (0.52), emphasizing high environmental sensitivity. Selection accuracy was above 0.70 for all characters, ensuring high predictive accuracy. Traits with high genotypic coefficients of variation, such as CCS yield (13.28%), offered the greatest potential for genetic gain. WAASB and BLUP biplots identified clones 2018A 6, 2018A 157, 2018A 88, and 2018A 133 as high-yielding, superior in sugar recovery, and stable across crop cycles, with Plant II emerging as the most discriminative environment. The integration of diversified crop cycles with REML/BLUP and WAASB methods enabled robust identification of sugarcane clones combining high productivity with stability under seasonal variability. These findings support the advancement of selected clones for further multi-location evaluation and strengthen breeding strategies aimed at broad seasonal adaptation in sugarcane.</p>

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Assessment of High-Yielding and Stable Sugarcane Clones Using REML/BLUP and WAASB Strategies Across Diversified Crop Cycles for Broad Seasonal Adaptation

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • D. Adilakshmi,
  • P. V. Padmavathi,
  • K. V. Ramana Murthy,
  • V. Chendra Sekhar,
  • Ch. Mukunda Rao,
  • D. Purushotama Rao

摘要

Sugarcane productivity is greatly affected by genotype-by-cropping year interaction, especially when considering the successive plant and ratoon cycles that differ in their seasonal and physiological characteristics. This study investigated 20 sugarcane clones across three different crop cycles (Plant I, Plant II, and ratoon) to evaluate yield performance, sugar quality characteristics, and stability using joint ANOVA, AMMI, and REML/BLUP-based WAASB analysis. Highly significant (p ≤ 0.01) genotype, year of cropping, and genotype-by-cropping year interaction were found for all characters. Clones 2018A 6, 2018A 157, and 2018A 88 performed better than commercial standards for cane yield and sugar yield characters. Cane yield had the highest heritability (h2 = 0.42), genetic coefficient of variation (11.74), selection accuracy (0.87), and a ratio of coefficient of variation (CV) greater than one, emphasizing its stability and potential for direct genetic improvement in sugarcane breeding programs. The Genotype × Environment Interaction Ratio (GEIr2) ratio was highest for the number of millable canes (0.56) and brix percentage (0.52), emphasizing high environmental sensitivity. Selection accuracy was above 0.70 for all characters, ensuring high predictive accuracy. Traits with high genotypic coefficients of variation, such as CCS yield (13.28%), offered the greatest potential for genetic gain. WAASB and BLUP biplots identified clones 2018A 6, 2018A 157, 2018A 88, and 2018A 133 as high-yielding, superior in sugar recovery, and stable across crop cycles, with Plant II emerging as the most discriminative environment. The integration of diversified crop cycles with REML/BLUP and WAASB methods enabled robust identification of sugarcane clones combining high productivity with stability under seasonal variability. These findings support the advancement of selected clones for further multi-location evaluation and strengthen breeding strategies aimed at broad seasonal adaptation in sugarcane.