Research Article

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09/27/2017
Models, Genetic; Pennisetum; Plant breeding; Polymorphism, Genetic; Quantitative Trait, Heritable; Selective breeding

Genetically improved cultivars of elephant grass need to be adapted to different ecosystems with a faster growth speed and lower seasonality of biomass production over the year. This study aimed to use selection indices using mixed models (REML/BLUP) for selecting families and progenies within full-sib families of elephant grass (Pennisetum purpureum) for biomass production. One hundred and ... more

V.B. Silva; R.F. Daher; M.S.B. Araújo; Y.P. Souza; S. Cassaro; B.R.S. Menezes; L.M. Gravina; A.A.C. Novo; F.D. Tardin; A.T.Amaral Júnior
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Cellulose; Genotype; Plant breeding; Quantitative Trait, Heritable; Saccharum; Selection, Genetic; Sucrose

Sugarcane (Saccharum sp) is one of the most promising crops and researchers have sought for renewable alternative energy sources to reduce CO emission. The study of strategies, which allow breeders in the selection of superior genotypes for many traits simultaneously, is important. Therefore, the objectives of this study were: i) to apply path analysis to better understand the relationship ... more

L.A. Silva; P.E. Teodoro; L.A. Peixoto; C. Assis; K. Gasparini; M.H.P. Barbosa; L.L. Bhering
08/17/2017
Edible Grain; Genotype; Inbreeding; Models, Genetic; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic; Selective breeding; Vigna

The aim of this study was to estimate the genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses and to compare different selection indexes. Eleven cowpea populations were evaluated in a randomized complete block design with four replications. Fourteen traits were evaluated, and the following parameters were estimated: ... more

D.G. Oliveira; M.M. Rocha; K.J. Damasceno-Silva; F.V. Sá; L.R.L. Lima; M.D.V. Resende
09/21/2017
Genotype; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic; Selective breeding; Soybeans

Defining selection criteria is important to obtain promising genotypes in a breeding program. The objective of this study was to estimate genetic parameters for agronomic traits and to perform soybean line selection using selection indices. The experiment was conducted at an experimental area located at Capim Branco farm, belonging to the Federal University of Uberlândia. A total of 37 soybean ... more

F.G. Teixeira; O.T. Hamawaki; A.P.O. Nogueira; R.L. Hamawaki; G.L. Jorge; C.L. Hamawaki; B.Q.V. Machado; A.J.O. Santana
09/21/2017
Annona; Genotype; Plant breeding; Polymorphism, Genetic; Selection, Genetic; Selective breeding

The aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were ... more

C.F.B. Sánchez; R.S. Alves; A.D.P. Garcia; P.E. Teodoro; L.A. Peixoto; L.A. Silva; L.L. Bhering; M.D.V. Resende
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Edible Grain; Models, Genetic; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic; Selective breeding; Zea mays

Selection indices commonly utilize economic weights, which become arbitrary genetic gains. In popcorn, this is even more evident due to the negative correlation between the main characteristics of economic importance - grain yield and popping expansion. As an option in the use of classical biometrics as a selection index, the optimal procedure restricted maximum likelihood/best linear unbiased ... more

C. Vittorazzi; A.T.Amaral Júnior; A.G. Guimarães; A.P. Viana; F.H.L. Silva; G.F. Pena; R.F. Daher; I.F.S. Gerhardt; G.H.F. Oliveira; M.G. Pereira
09/27/2017
Brazil; Edible Grain; environment; genomic instability; Genotype; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic; Selective breeding; Soybeans

Biplot analysis has often been used to recommend genotypes from different crops in the presence of the genotype x environment interaction (GxE). The objective of this study was to verify the association between the AMMI and GGE biplot methods and to select soybean genotypes that simultaneously meet high grain yield and stability to the environments belonging to the Edaphoclimatic Region 402, ... more

E.U.Ramos Junior; R.L. Brogin; V.P.C. Godinho; F.J.E. Botelho; F.D. Tardin; P.E. Teodoro
09/27/2017
Ascomycota; Capsicum; Disease resistance; Fruit; Genotype; Models, Genetic; Plant breeding; Plant Diseases; Plant Leaves; Potyvirus; Quantitative Trait, Heritable; Selective breeding; Xanthomonas

This study aimed to identify Capsicum genotypes with resistance to bacterial spot (BS), anthracnose and Pepper yellow mosaic virus (PepYMV). Fifty-four genotypes of Capsicum spp were evaluated. Resistance reaction against BS was evaluated using three replicates, testing hypersensitivity and quantitative resistance in leaves. After evaluation, inoculated leaves were detached from the plants, ... more

C.S. Bento; A.G. de Souza; C.P. Sudré; S. Pimenta; R. Rodrigues
09/27/2017
Gene-Environment Interaction; Genetic variation; genomic instability; Hypocotyl; Models, Genetic; Plant breeding; Plant Leaves; Quantitative Trait, Heritable; Selective breeding; Soybeans

In order to obtain the certificate of cultivar protection, it is necessary to prove its distinctiveness, homogeneity, and stability. Currently, there are 37 descriptors for differentiating soybeans cultivars. However, they are still not enough and, as a result, it is necessary to create, identify, and evaluate new descriptors. This study was aimed at evaluating the genotypic and environment ... more

M.V.A. Chaves; N.S. Silva; R.H.O. Silva; G.L. Jorge; I.C. Silveira; L.A. Medeiros; R.L. Hamawaki; O.T. Hamawaki; A.P.O. Nogueira; C.D.L. Hamawaki
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Cotton Fiber; Genotype; Gossypium; Models, Genetic; Neural Networks, Computer; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic; Selective breeding

Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explored in genetic improvement of cotton. Thus, this study was carried out with the objective of presenting the use of artificial neural networks as ... more

E.G.Silva Júnior; D.B.O. Cardoso; M.C. Reis; A.F.O. Nascimento; D.I. Bortolin; M.R. Martins; L.B. Sousa

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