Adaptabilidade e estabilidade fenotipica de clones de cana-de-açúcar no estado de Mato Grosso do Sul por meio de metodologia multi-informação

Abstract

The adaptability and stability of different genotypes is used by breeders to assist in the recommendation of cultivars. For this, several methods were proposed and the use of these methodologies simultaneously seems to allow extracting more consistent information than the use of each methodology separately. Thus, the present work aims to study the adaptability and stability of sugarcane genotypes regarding the productivity of sugarcane stalks per hectare (TCH) in four environments in Mato Grosso do Sul and to identify the superior genotypes by means of the multi-information criterion. TCH data were collected in the 2018/2019 harvest, in third-cut crops, from the Experimentation Phase (EF) of the Sugarcane Improvement Program of the Interuniversity Network for the Development of the Sugar-Energy Sector (RIDESA/UFSCar). Six early maturing clones (G1, G2, G3, G4, G5e G6) and two commercial varieties (G7 - RB855156 and G8 - RB966928) were evaluated. The design used was of blocks by case with three replications. From the data, joint analysis of variance was obtained. The adaptability and stability of the genotypes was evaluated by multi-information, which included 10 parameters being the general average, average potential in different environmental conditions (PM), plasticity, measure of the relative contribution to the interaction, Annicchiarico recommendation index, percentage adaptability, percent stability, genotype response J pattern (PJR), champion pattern and centroid recommendation index. Genotypes G3, G4, G6, G7 and G8 showed high stability and specific adaptation to high-yield environments, such as environments 1 (Ivinhema - MS) and 3 (“N.O.” farm, Nova Andradina – MS). The G6 genotype excels in productivity the standard genotypes G7 and G8 (RB966928) - both commercial varieties. The genotypes G1, G2 and G5 show high stability, specific adaptation to low-yield environments such as 2 (Rio Brilhante – MS) and 4 (“E.” farm, Nova Andradina – MS, ).