Selection of progenies of snap beans using mixed models (REML/BLUP)

The purpose of this research was to select the development of superior genotypes of snap beans adapted to edaphoclimatic conditions of the North and Northwest of Rio de Janeiro State, Brazil, applying the mixed model methodology. The test was installed and carried out in the experimental area of the...

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Bibliographic Details
Published in:Genetics and molecular research no. 2; p. 1
Main Authors: Cruz, DP, Gravina, GA, Oliveira, TRA, Gomes, ABS, Silva, CQ, Vivas, M, Araújo, KC, Daher, RF, Gravina, LM, Moraes, R, Silva, VB
Format: Journal Article
Language:English
Published: Ribeirao Preto Fundacao de Pesquisas Cientificas de Ribeirao Preto 04-05-2018
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Summary:The purpose of this research was to select the development of superior genotypes of snap beans adapted to edaphoclimatic conditions of the North and Northwest of Rio de Janeiro State, Brazil, applying the mixed model methodology. The test was installed and carried out in the experimental area of the Instituto Federal Fluminense (IFF), located in the municipality of Bom Jesus do Itabapoana, Rio de Janeiro State, Brazil, using the modified SSD (Single Seed Descent) method. The experiment was of randomized block design with three replications. We evaluated weight of pod per plant and number of pod per plant in ten progenies from the snap bean breeding program of the Universidade Estadual do Norte Fluminense (UENF); individual plants were assessed in each plot and in each replication (block). All progenies had mean productivity superior to 1 kg of pod per plant and 144 pods per plant. The 7 and 2 progenies, which came from the crossings between (UENF 7-5-1) L6 × L20 (UENF 14-3-3) and (UENF 7-5-1) L6 × L13 (UENF 7-20-1), stood out from the others, as they led to a higher predicted additive gain for the two evaluated traits. We concluded that the selection for production of snap beans and grains applying BLUP enabled the prediction and achievement of significant genetic gains for breeding snap beans for subsequent generations.
ISSN:1676-5680
DOI:10.4238/gmr16039914