Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085743
Research center of Embrapa/Collection: Embrapa Arroz e Feijão - Artigo em periódico indexado (ALICE)
Date Issued: 2017
Type of Material: Artigo em periódico indexado (ALICE)
Authors: PEREIRA, L. A.
ABREU, A. F. B.
VIEIRA JÚNIOR, I. C.
PIRES, L. P. M.
RAMALHO, M. A. P.
Additional Information: L. A. PEREIRA, UFLA; ANGELA DE FATIMA BARBOSA ABREU, CNPAF; I. C. VIEIRA JÚNIOR, UFLA; L. P. M. PIRES, UFLA; MAGNO ANTONIO PATTO RAMALHO, UFLA.
Title: Genetic progress estimation strategy for upright common bean plants using recurrent selection.
Publisher: Genetics and Molecular Research, v. 16, n. 1, gmr16019494, Mar. 2017.
Language: en
Keywords: Selection progress
Upright plants
Description: Common bean producers in Brazil tend to grow plants as upright as possible. Because the control of this trait involves a large number of genes, recurrent selection (RS) is the best approach for successful plant improvement. Because plant architecture (PA) is evaluated using scores and usually has high heritability, RS for PA is performed through visual selection in generation S0. The aim of the present study was to evaluate selection progress and investigate whether this progress varies with the number of selected progenies or the generation evaluated. In addition, the effect of RS for the upright (PA) trait on progeny grain yield (GY) was investigated. Data of progenies S0:3 and S0:4 of the fifth, eighth, and twelfth cycles were used. A combined analysis of variance was performed using the adjusted means of the 47 best progenies from each generation and cycle, using two control cultivars as reference. A joint analysis of the two generations used during the evaluation of progenies for the different cycles was also performed. The genetic progress (GP) was estimated by fitting a linear regression equation to the relationship between the adjusted mean of each cycle and the number of cycles. We found that RS was efficient and the estimated GP of the evaluated progenies was 4.5%. Based on the GY heritability estimates, in more advanced generation selection for GY can be successfully performed on progenies. Thus, the selection already done for PA in F2 could be associated to the most productive progenies.
Thesagro: Feijão
Phaseolus vulgaris
Melhoramento genético vegetal
Seleção recorrente
NAL Thesaurus: Beans
Plant breeding
Recurrent selection
Grain yield
Data Created: 2018-01-18
ISSN: 1676-5680
Appears in Collections:Artigo em periódico indexado (CNPAF)

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