Estimation of genetic parameters and selection of elephant-grass ( Pennisetum purpureum Schumach.) for forage production using mixed models

The efficient use of fodder and grassland as the basis of animal feed represents a way of raising productivity and reducing production costs. In this scenario, elephant-grass stands out among the most used forages in the intensive animal production systems in the world mainly due to its high product...

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Bibliographic Details
Published in:Chilean journal of agricultural research 2018-06, Vol.78 (2), p.198-204
Main Authors: Stida, Wanessa F., Daher, Rogério F., Viana, Alexandre P., Vidal, Ana Kesia F., Freitas, Rafael S., Silva, Verónica B. da, Pereira, Antonio Vander, Cassaro, Sabrina, Menezes, Bruna R. da S., Furlani, Eduardo P.
Format: Article
Language:English
Subjects:
Accuracy
Agricultural production
AGRICULTURE, MULTIDISCIPLINARY
AGRONOMY
Analysis
Animal breeding
Animal feed
Animal production
Biotechnology
Cloning
Coefficient of variation
Dry season
Efficiency
Experiments
Feed industry
Feeds
Fodder
Forage
Genetic analysis
Genetic improvement
Genotypes
Grasses
Grasslands
Heritability
Industrial engineering
Manufacturing engineering
Mathematical models
Nutritive value
Parameter estimation
Pennisetum purpureum
Polygenic inheritance
Production costs
Seasons
Software
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Summary:The efficient use of fodder and grassland as the basis of animal feed represents a way of raising productivity and reducing production costs. In this scenario, elephant-grass stands out among the most used forages in the intensive animal production systems in the world mainly due to its high productive potential, support capacity and nutritional quality. The purpose of this work was to estimate genetic parameters for the selection of elephant-grass (Pennisetum purpureum Schumach.) clones for forage production in two seasons, a period of water restriction and the total period of study. We evaluated 80 accessions of elephant-grass by means of the mixed-models methodology (REML/BLUP). The evaluation of DM yield (DMY) of the different genotypes were executed in edaphoclimatic conditions in Campos dos Goytacazes, Rio de Janeiro, Brazil. The Selegen-REML/BLUP software accomplished the statistical and genetic analyses. It was seen that the DMY trait was with a low estimate of coefficient of genotypic variation (3.08%), which demonstrates possible difficulties with the selection for this trait. Heritability-coefficient estimate was 0.3606 for the dry season and 0.4193 for the total period. Those results were the variation in that trait due to genetic causes. Although those values may not be considered of high magnitude, they are of great interest for the breeding mainly because it is a polygenic trait. In both periods, genotypes 7, 25, 41, 43, 57, 58, 62, 64, 68, and 77 stood out among the others, since it presented the highest genetic gains for DMY, which will enhance progress in the evaluated trait.
ISSN:0718-5839
0718-5820
0718-5839
DOI:10.4067/S0718-58392018000200198