<p>Identifying drought-tolerant accessions from the vast <i>Saccharum spontaneum</i> gene pool is crucial for their effective use in pre-breeding programs. In this study, 169 <i>S. spontaneum</i> accessions along with two checks were evaluated under control and drought stress conditions in augmented design. Eleven morpho-physiological traits were recorded, and drought tolerance was quantified through Drought tolerance Coefficient (DC). Among the traits, dry biomass per clump was most affected by moisture stress. DC also served as measure for genotypes’ drought tolerance levels, which ranged from 0.01 to 0.97 for dry biomass. Advanced multivariate selection indices—Factor Analysis and Ideotype Design (FAI-BLUP) and the Multi-trait Genotype-Ideotype Distance Index (MGIDI)—were applied to DC values. At a 5% selection intensity, MGIDI showed higher selection differential for six traits including dry biomass, tiller number, leaf width, and chlorophyll content. Both indices commonly selected five superior accessions namely IND 99–853, SES 507, IND 04-1381, SH 217, and IND 11-1620, demonstrating their potential for drought tolerance. Partial Least Squares Regression (PLSR) analysis, using DC of dry biomass as the response variable, identified tiller number as the most influential trait, followed by leaf width, carotenoid content, and plant height, based on three variable selection criteria. These traits may serve as reliable indicators for indirect selection of drought-tolerant genotypes after further validation. This study offers a robust selection framework and identifies promising <i>S. spontaneum</i> accessions and traits for enhancing drought resilience in sugarcane breeding.</p>

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Multi-trait index based Elucidation of drought tolerance potential of Saccharum spontaneum

  • T. Lakshmi Pathy,
  • V. Vinu,
  • R. Arunkumar,
  • Gopalareddy Krishnappa,
  • H. K. Mahadeva Swamy,
  • R. Valarmathi,
  • K. Dhanapal,
  • Amaresh,
  • P. Govindaraj,
  • G. Hemaprabha,
  • Bakshi Ram

摘要

Identifying drought-tolerant accessions from the vast Saccharum spontaneum gene pool is crucial for their effective use in pre-breeding programs. In this study, 169 S. spontaneum accessions along with two checks were evaluated under control and drought stress conditions in augmented design. Eleven morpho-physiological traits were recorded, and drought tolerance was quantified through Drought tolerance Coefficient (DC). Among the traits, dry biomass per clump was most affected by moisture stress. DC also served as measure for genotypes’ drought tolerance levels, which ranged from 0.01 to 0.97 for dry biomass. Advanced multivariate selection indices—Factor Analysis and Ideotype Design (FAI-BLUP) and the Multi-trait Genotype-Ideotype Distance Index (MGIDI)—were applied to DC values. At a 5% selection intensity, MGIDI showed higher selection differential for six traits including dry biomass, tiller number, leaf width, and chlorophyll content. Both indices commonly selected five superior accessions namely IND 99–853, SES 507, IND 04-1381, SH 217, and IND 11-1620, demonstrating their potential for drought tolerance. Partial Least Squares Regression (PLSR) analysis, using DC of dry biomass as the response variable, identified tiller number as the most influential trait, followed by leaf width, carotenoid content, and plant height, based on three variable selection criteria. These traits may serve as reliable indicators for indirect selection of drought-tolerant genotypes after further validation. This study offers a robust selection framework and identifies promising S. spontaneum accessions and traits for enhancing drought resilience in sugarcane breeding.