Abstract

Sugarcane (Saccharum spp.) is one of the most important crops cultivated in the tropics and subtropics and plays a significant economic and environmental role in Brazil. Twentyfour new clones were evaluated in different locations as potential models for recommendation as new varieties. The mixed model methodology, using the harmonic mean of the relative performance of genetic values (MHPRVG), facilitated the analysis of genotypic stability and adaptability, culminating in the recommendation of clones for each location. MHPRVG ranked clones RB92579, RB867515, SP81-3250, RB947520 and RB931530 as the best five, and, additionally, clones with greater genotypic potential were identified for each test in the six localities.

Highlights

  • Sugarcane (Saccharum spp.) is one of the most important species cultivated in the tropics and subtropics and plays a significant economic and environmental role in Brazil, occupying a total area of 8.527 million hectares in the agricultural years 2011/2012, according to data from the Companhia Nacional de Abastecimento (Conab, 2012) (National Supply Company)

  • A large number of clones are evaluated every year in sugar cane breeding programs, in experiments conducted in different harvests, seasons and regions

  • One of the most important aspects in genetic breeding is the prediction of the genetic values of genotypes, which requires estimating variance components that are either known or accurately estimated

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Summary

Introduction

Sugarcane (Saccharum spp.) is one of the most important species cultivated in the tropics and subtropics and plays a significant economic and environmental role in Brazil, occupying a total area of 8.527 million hectares in the agricultural years 2011/2012, according to data from the Companhia Nacional de Abastecimento (Conab, 2012) (National Supply Company). One of the most important aspects in genetic breeding is the prediction of the genetic values of genotypes, which requires estimating variance components that are either known or accurately estimated. In studies on genetic breeding, consideration of treatment effects as random effects leads to greater predictive accuracy. This is relevant in genetic breeding programs and allows for genetic selection. The present study aimed to select the most productive clones of sugar cane for a region in the southeast of Brazil, through experimentation on clones in the final stage of evaluation, by investigating adaptability and stability parameters through mixed modeling

Materials and Methods
Results and Discussion
71 Sugarcane breeding by mixed models
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