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Articles by Caio Cezar Guedes Correa
Total Records ( 3 ) for Caio Cezar Guedes Correa
  Carlos Antonio da Silva Junior , Paulo Eduardo Teodoro , Guilherme Fernando Capristo Silva , Larissa Pereira Ribeiro , Flavia Alves da Silva , Caio Cezar Guedes Correa , Roque Apolinario Alves da Luz Junior and Francisco Eduardo Torres
  Determining the genetic variability and correlations between traits of interest for selection in a population is one of the stages in a breeding program. The objectives of this study was to evaluate the potential for genetic improvement of a population composed of twelve commercial soybean genotypes, were estimated genetic and phenotypic descriptors and correlations between morphological traits of the population. The experimental design was used in randomized block design with four replications. The descriptors measured were plant height and first pod insertion, number of pods and ramifications, mass of hundred grains and yield grains. The yield grains presented more genotypic coefficient of variation, ratio b and herdability. This descriptor obtained phenotypic correlations significant positive (p<0.01), with number of pods, ramifications and mass hundred grains, indicating that the selection of plants with larger number of ramifications entailed, therefore, more productive genotypes. The genotype correlations had the same sign and in most cases superior to their corresponding phenotypic correlations values, indicating that the phenotypic expression is decreased compared to environmental influences. Environmental correlations between descriptors with differences in magnitude and sign, in relation to the respective genotype correlations, revealed that the environment favored one character over another and that the genetic and environmental causes of variation have different physiological mechanisms, defaulting the indirect selection.
  Matheus Langhi Alves , Mariana Conceicao de Souza , Gustavo Henrique Gottardo Loff , Rodrigo Araujo Marques , Paulo Eduardo Teodoro , Caio Cezar Guedes Correa , Carlos Antonio da Silva Junior and Francisco Eduardo Torres
  Models to estimate leaf area according to the linear dimensions of leaves have been developed in several green manure crops. The aim of this work was to model and identify the best models for estimating the leaf area determined by digital photos in sun. The trial was installed in the experimental area of the State University of Mato Grosso do Sul-Unit University Aquidauana (UEMS/UUA), Brazil. During the growth and development of plants, randomly 200 expanded leaves of the lower, middle and superior portions were collected in order to obtain the plant canopy representation. These leaves were separated into two samples; the first with 150 leaves was used to generate mathematical models for measuring the leaf area and the second with 50 leaves was used to validate the generated equations and identify the best accuracy. At each collected leaf was measured the length and width. Subsequently, it was calculated the product of length×width. Then, the real leaf area for all 200 leaves was determined by digital photos. The linear model based on the product between length×width is the most appropriate to estimate sunn leaf area, because it had the highest Pearson linear correlation coefficient, lower mean square error and lower root mean square error.
  Jefferson Luis Anselmo , Paulo Eduardo Teodoro , Carlos Antonio da Silva Junir , Flavia Alves da Silva , Caio Cezar Guedes Correa and Francisco Eduardo Torres
  Background and Objective: Upland cotton is one the main crops of economic importance in Brazil. In the face of such morphological traits, there is the need to search for cotton cultivars that are adapted to the smaller row spacing, as these can be grown in succession to soybean without the need to exchange of the seeder. However, few results encourage this practice by farmers. The aim of this study was to evaluate the agronomic performance of 16 upland cotton cultivars grown in two row spacing in the Brazilian Cerrado region. Methodology: The trial was conducted at Fundação Chapadão, in the municipality of Chapadão do Sul, State of Mato Grosso do Sul, Brazil. Experimental design was sub-divided plots with ten lines each, with four replications. The following agronomic traits were evaluated: Plant height, first reproductive branch height, number of bolls per plant, weight of bolls per plant and cotton yield in seed. Results: There were significant differences (p = 0.05) between cultivars for all evaluated traits. Except for the WB, the others traits were influenced by spacing. There was no interaction between factors for any evaluated traits. Conclusion: Spacing of 0.90 m provides better agronomic performance of cotton cultivars. The cultivars FM975, TMG41 and TMG81 stood out among the others for obtaining the highest cotton yield in seed, alternatives to the growing for farmers from Brazilian Cerrado region.
 
 
 
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