REPETIBILITY IN GUAVA: HOW MANY EVALUATIONS IS NECESSARY FOR SELECTION THE BEST GUAVA TREE?
Palavras-chave:
Psidium guajava, guava breeding, mixed modelsResumo
In fruit breeding, especially in the case of perennial species, is questioned what the ideal number of evaluations. The objective main of the present study was to estimate what the best number of harvest to be evaluation and select productive genotypes, with good adaptability and stability, by method of harmonic mean of the relative performance of predicted genetic values (HMRPGV), for production related traits by mixed models. We evaluated ten full-sib progenies, over four harvests, for fruit weight, number of fruits per plant, and total yield. Five predicted measurements from the same individual were sufficient for the selection of promising guava genotypes in the early stages of the breeding program. The genetic gain predicted for the 30 best individuals was higher than that achieved with the progeny. These genotypes can be used both as parents in new crosses and in the recommendation of clonal propagation for conventional planting, since there was a significance increase in yield.
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Referências
DHARA, P.; PATEL, N.L.; TANVEER, A.; APEKSHA, P.; KUMAR, V. 2016. Effect of Pre-Cooling
Packaging Material on Chemical and Sensory Quality of Guava Fruits [Psidium guajava (Linn.)]
Cv Allahabad Safeda. Environment & Ecology, 35:64-69.
FIGUEIREDO, A.G.; VON PINHO, R.G.; SILVA, H.D.; BALESTRE, M. 2015. Application of mixed
models for evaluating stability and adaptability of maize using unbalanced data. Euphytica,
202(3):393-409, 2015.
IMAI, A.; KUNIGA, T.; YOSHIOKA, T.; NONAKA, K.; MITANI, N.; FUKAMACHI, H.; HAYASHI, T.
2016. Evaluation of the best linear unbiased prediction method for breeding values of fruit-quality
traits in citrus. Tree Genetics & Genomes, 12(6):119.
KANWAL, N.; RANDHAWA, M.A.; IQBAL, Z. 2016. A Review of Production, Losses and Processing
Technologies of Guava. Asian Journal of Agriculture and Food Sciences, 4:2321–1571.
KAREEM, A.; JASKANI, M.J.; FATIMA, B.; SADIA, B. 2013.Clonal multiplication of guava through softwood
cuttings under mist conditions. Pakistan Journal of Agricultural Sciences, 50:23-27.
LAVIOLA, B.G.; OLIVEIRA, A.M.C.; BHERING, L.L.; ALVES, A.A.; ROCHA, R.B.; GOMES, B.E.L.; CRUZ, C.
2013. Estimates of repeatability coeficientes and selection gain sin Jatropha indicate that higher
cumulative genetic gains can be obtained by relaxing the degree of certainty in predicting the best
families. Crops and Products, 51:70-76.
LOPES, V.R.; BESPALHOK FILHO, J.C.; DAROS, E.; OLIVEIRA, A.O.; GUERRA, E.P. 2014.
Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with
mixed models. Semina: Ciências Agrárias, 35(1):125-134.
MAIA, M.C.C.; RESENDE, M.D.V.; PAIVA, J.R.; CAVALCANTI, J.J.V.; MOURA BARROS, L. 2009.
Simultaneous selection for genotypic production, adaptability, and stability in cashew clones by
mixed models. Pesquisa Agropecuária Tropical, 39:43-50.
QUINTAL, S.S.R.; VIANA, A.P.; CAMPOS, B.M.; VIVAS, M.; AMARAL JÚNIOR, A.T. 2017. Selection
via mixed models in segregating guava families based on yield and quality traits. Revista
Brasileira de Fruticultura, 39(2):e-866.
RESENDE, M.D.V. Software Selegen-REML/BLUP: a useful tool for plant breeding. 2016. Crop Breeding and
Applied Biotechnology, 16: 330 -339.
ROCHA, L.F.; CAVALCANTE, L.F.; NUNES, J.C.; DE LUNA SOUTO, A.G.; CAVALCANTE, A.C.P.
CAVALCANTE, Í.H.L.; PEREIRA, W. E. 2016. Fruit production and quality of guava ‘Paluma’ as a
function of humic substances and soil mulching. African Journal of Biotechnology, 15(36), 1962-1969.
RODRIGUES, H.S.; CRUZ, C.D.; MACÊDO, J.L.V.; RESENDE, M.D.V.; LOPES, R.; BORÉM, A. 2017. Genetic
variability and progeny selection of peach palm via mixed models (REML/BLUP). Acta Scientiarum Agronomy, 39(2):165-173.
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