Abstract
ABSTRACT Genetic diversity studies are performed based on information on a set of traits measured in a group of genotypes, considering one or more environments. The pattern recognition methods allow classifying genotypes from a set of important agronomic information. Thus, this study aimed to present and compare pattern recognition methods to inquire about the similarity of environments and genotypes in flood-irrigated rice for the recommendation of cultivars. The experim>ents were performed in the municipalities of Leopoldina, Lambari, and Janauba, state of Minas Gerais, Brazil. To evaluate the pattern of similarity, 25 rice genotypes in three environments belonging to the flood-irrigated rice breeding program were used. Among these genotypes, five cultivars were used as an experimental control for the grain yield, the height of the plant, flowering, panicle length, grains filled by panicles, percentages of grains filled by panicles, in the 2012/2013 agricultural year. The methods us>ed were mixtures of multivariate normal distributions and density-based clustering algorithm. It was observed, therefore, that the genotypes are distributed in three distinct groups, in which there are intragroup homogeneity and intergroup heterogeneity for the agronomic traits of the flooded rice culture. The methods >used to assess the dissimilarity of environments using pattern recognition methods were efficient in classifying flooded rice irrigated environments.
Highlights
Rice (Oryza sativa L.) is one of the most produced and consumed cereals in the world, and is characterized as the main food for more than half of the world population
Genetic diversity studies are performed based on information on a set of traits measured in a group of genotypes, considering one or more environments
The estimate of the coefficient of variation (CV%) was low for all characteristics, indicating adequate experimental precision, as demonstrated in other studies related to the culture of irrigated rice (Hosan et al 2010; Silva et al 2011; 2019; 2020; Costa et al 2002; Streck et al 2017; Santos et al 2019)
Summary
Rice (Oryza sativa L.) is one of the most produced and consumed cereals in the world, and is characterized as the main food for more than half of the world population. With the increase in the population, the demand for grain productivity has increased over the years and it is estimated that by 2050 global rice production should increase from 60 to 110% to supply the demand of the world population (Godfray et al 2010; Tilman et al 2011; Ray et al 2013; Santos et al 2019). Genetic diversity studies are performed using information from a set of traits measured in a group of genotypes, considering one or more environments. These studies are useful for recognizing similarity patterns and quantifying variability to explore breeding plants. When performed experiments in more than environment, an approach to the behavior of genotypes are common, emphasizing stability and adaptability for a given characteristic of agronomic importance, mainly grain production. The Methods to study the genotype similarity study of dissimilarity of environments is important and aims to identify more discriminative and representative environments to subsequently analyze the most stable and adapted genotypes
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
