Research Article

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2017 Sep 27
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
2017 Sep 27
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
2017 May 31
Genetic variation; Genotype; Models, Genetic; Plant breeding; Quantitative Trait, Heritable; Soybeans

The genetic diversity study has paramount importance in breeding programs; hence, it allows selection and choice of the parental genetic divergence, which have the agronomic traits desired by the breeder. This study aimed to characterize the genetic divergence between 24 soybean genotypes through their agronomic traits, using multivariate clustering methods to select the potential genitors for ... more

M.M. Oliveira; L.B. Sousa; M.C. Reis; E.G.Silva Junior; D.B.O. Cardoso; O.T. Hamawaki; A.P.O. Nogueira
2017 Jun 29
Droughts; environment; genomic instability; Hybridization, Genetic; Models, Genetic; Plant breeding; Quantitative Trait, Heritable; Stress, Physiological; Zea mays

In several crops, the water deficit is perhaps the main limiting factor in the search for high yields. The objective of this study was to evaluate the phenotypic stability of maize hybrids in environments with and without water restriction using the analytical factor (AF) approach. We evaluated 171 maize hybrids in 14 environments, divided into environments with (A1, A2, A3, A4, A5, A6, and A7 ... more

A.O. Santos; J.J. Nuvunga; C.P. Silva; L.P.M. Pires; R.G. Von Pinho; L.J.M. Guimarães; M. Balestre
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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
2017 Sep 21
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
2017 Sep 27
Edible Grain; environment; Genetic variation; Phosphorus; Plant breeding; Selective breeding; Soil; Stress, Physiological; Zea mays

The expansion of agriculture, coupled with the need for sustainable cropping, is one of the greatest challenges of the scientific community working on the generation of new cultivars adapted to abiotic stress conditions. The aim of this study was to evaluate the variability of popcorn lines as to responsiveness and efficiency in phosphorus use, as a first step towards the implementation of a ... more

I.F.S. Gerhardt; A.T.Amaral Júnior; L.J.M. Guimarães; I.A. Schwantes; A. Santos; S.H. Kamphorst; V.J. Lima; F.M. Poblete; G.O. Myers
2017 Sep 27
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
2017 Sep 27
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
2017 Sep 27
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