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Pennisetum Purpureum

Animal Genetics   Research Article

Estimative of genetic diversity in germ-plasm of elephant grass using the Gower algorithm

Authors: A.K.F. Vidal, R.F. Daher, R.S. Freitas, W.F. Stida, B.R. da S. Menezes, A.V. Pereira, V.B. da Silva, F.D. Tardin and L.J. da S. de Oliveira

This work aimed at estimating the genetic divergence among 85 accessions of elephant-grass using the Gower algorithm for the joint study of quantitative and qualitative traits. The experiment was conducted in the city of Campos dos Goytacazes, Rio de Janeiro state, Brazil, with of 85 elephant-grass genotypes. It was applied a randomized block experimental.. Read More»

Genet. Mol. Res. 17(4):
http://dx.doi.org/gmr16039934
DOI:
http://dx.doi.org/10.4238/gmr16039934
Plant Genetics   Research Article

Diversity among elephant grass genotypes using Bayesian multi-trait model

Authors: D.A. Rossi, R.F. Daher, T.C. Barb�©, R.S.N. Lima, A.F. Costa, L.P. Ribeiro, P.E. Teodoro and L.L. Bhering

Elephant grass is a perennial tropical grass with great potential for energy generation from biomass. The objective of this study was to estimate the genetic diversity among elephant grass accessions based on morpho-agronomic and biomass quality traits and to identify promising genotypes for obtaining hybrids with high energet.. Read More»

Genet. Mol. Res. 16(3):
gmr16039803
DOI:
10.4238/gmr16039803
Plant Genetics   Research Article

Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes

Authors: V.B. Silva, R F. Daher, M.S.B. Ara�ºjo, Y.P. Souza, S. Cassaro, B.R.S. Menezes, L.M. Gravina, A.A.C. Novo, F.D. Tardin and A.T. Amaral J�ºnior

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 gra.. Read More»

Genet. Mol. Res. 16(3):
gmr16039781
DOI:
10.4238/gmr16039781
Plant Genetics   Research Article

Stability of annual biomass energy production of elephant grass (Pennisetum purpureum Schum.) genotypes in the Northern region of the Rio de Janeiro State, Brazil

Authors: M.S.B. Ara�ºjo, R.F. Daher, B.R.S. Menezes, G.A. Gravina, V.B. Silva, A.T. Amaral J�ºnior, E.V. Rodrigues, B.O. Almeida and N.J. Ponciano

The objectives of this study were to estimate the stability of dry biomass production of elephant grass genotypes under an annual harvest regime, in soil-climatic conditions of the Northern region of the Rio de Janeiro State, Brazil, and to compare methodologies for stability analyses of Yates and Cochran (YC), Plaisted and Pe.. Read More»

Genet. Mol. Res. 16(3):
gmr16039041
DOI:
10.4238/gmr16039041
Plant Genetics   Research Article

Selecting elephant grass families and progenies to produce bioenergy through mixed models (REML/BLUP)

Authors: E.V. Rodrigues, R.F. Daher, A. dos Santos, M. Vivas, J.C. Machado, G. do A. Gravina, Y.P. de Souza, A.K. Vidal, A. dos S. Rocha and R.S. Freitas

Brazil has great potential to produce bioenergy since it is located in a tropical region that receives high incidence of solar energy and presents favorable climatic conditions for such purpose. However, the use of bioenergy in the country is below its productivity potential. The aim of the current study was to select full-sib.. Read More»

Genet. Mol. Res. 16(2):
gmr16029301
DOI:
10.4238/gmr16029301
Plant Genetics   Research Article

RAPD and ISSR markers in the evaluation of genetic divergence among accessions of elephant grass

Authors: R.S.N de Lima, R.F. Daher, L.S.A. Gon�§alves, D.A. Rossi, A.T. do Amaral J�ºnior, M.G. Pereira and F.J.S. L�©do

Considering the expected genetic variability of elephant grass (Pennisetum purpureum), due to its cultivation in different continents, we characterized and estimated the genetic divergences between 46 accessions of elephant grass with different edaphoclimatic adaptations, using RAPD and ISSR markers. We evaluated, comparativel.. Read More»

Genet. Mol. Res. 10(3):
vol10-3gmr1107
DOI:
10.4238/vol10-3gmr1107