UFSM XIKA FW: sugarcane cultivar for southern Brazil

In Brazil, in view of the different soil and climatic conditions of the sugarcane-producing regions, a strategy of creating small breeding programs for the crop is being used. Since 2008, the sugarcane breeding program of the Federal University of Santa Maria (UFSM), has been developing new, better adapted and higher-yielding sugarcane cultivars for the climate conditions of the southern region of Brazil. Cultivar UFSM XIKA FW was developed at the Laboratories of Agroclimatology and Genetic Breeding and Plant Production of the UFSM, Campus Frederico Westphalen. It is the first mutation-induced sugarcane cultivar that was protected by the Ministry of Agriculture, Livestock and Food Supply, Brazil. The genotype used for mutation induction was cultivar IAC 87-3396, due to its good performance characteristics in the southern region. The mutation mechanism was induced in 2011, by immersing individual buds in a solution of the chemical mutagenic agent methyl methane sulfonate. The best genotypes were selected and tested in plant cane in 2013 and 2018 and in ratoon cane trials in 2014 and 2015. The new cultivar has a higher sugar production potential, and the mean yield of four years was 8.2 t ha-1 higher than that of the control, indicating a high yield potential.

Meteorological factors responsible for the growth and development of sugarcane at two locations in Rio Grande do Sul, Brazil / Fatores meteorológicos responsáveis pelo crescimento e desenvolvimento da cana-de-açúcar em dois locais do Rio Grande do Sul

ABSTRACT: This study determined the meteorological variable that most contribute to the productivity of sugarcane stalks in the northwest and central regions of Rio Grande do Sul. The following sugarcane genotypes were used: UFSM XIKA FW, UFSM LUCI FW, UFSM PRETA FW, UFSM DINA FW, UFSM MARI FW, and IAC87-3396. The UFSM cultivars originate from a mutation process in the breeding program conducted at the Federal University of Santa Maria, Frederico Westphalen campus, and have low temperature tolerance. The productivity-associated morphological characters included in the models were average stem diameter, average stem number per meter of furrow, and average stem height. The following meteorological variables were used: minimum air temperature, precipitation, incident solar radiation, and accumulated thermal sum. Pearson's correlation, canonical correlations, and Stepwise regression were performed between morphological characters and meteorological variables: minimum air temperature had the greatest influence on sugarcane productivity in the studied regions, and accumulated thermal sum showed the highest correlation and contributed most to stem diameter and average stem height. Thus, the models indicated that the growth of sugarcane is positively associated with the accumulated thermal sum, and sugarcane can be cultivated at the studied regions.

RESUMO: O objetivo deste trabalho foi determinar a variável meteorológica com maior contribuição na produtividade de colmos de cana-de-açúcar na região noroeste e central do Rio Grande do Sul. Os genótipos de cana-de-açúcar utilizados foram: UFSM XIKA FW, UFSM LUCI FW, UFSM PRETA FW, UFSM DINA FW, UFSM MARI FW, IAC87-3396. As cultivares UFSM são provenientes do processo de mutação do programa de melhoramento da Universidade Federal de Santa Maria, campus de Frederico Westphalen, e possuem tolerância a baixas temperaturas. Os caracteres morfológicos responsáveis pela produtividade utilizados nos modelos foram diâmetro médio de colmo, número médio de colmos por metro de sulco e estatura média de colmos. As variáveis meteorológicas utilizadas foram a temperatura mínima do ar, precipitação pluviométrica, radiação solar incidente e soma térmica acumulada. Foi realizada a correlação de Pearson, correlações canônicas e regressão de Stepwise entre os caracteres morfológicos e as variáveis meteorológicas, nos quais foi constado que a temperatura mínima do ar é a variável com maior influência na produtividade da cana-de-açúcar nas regiões estudadas e, que a soma térmica acumulada é a variável com maior correlação e contribuição no diâmetro de colmo e estatura média dos colmos. Desse modo, os modelos indicam que o crescimento da cana-de-açúcar responde de forma positiva a soma térmica acumulada, e as regiões em estudo apresentam potencial para o cultivo da cana-de-açúcar.