Genetic gain estimated by different selection criteria in guava progenies

Paiva, Claudia Lougon; Viana, Alexandre Pío; Santos, Eileen Azevedo; Freitas, J.C.O.

doi:10.1590/1678-4499.477

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…Resende (2007) states that the REML/BLUP methodology puts the potential genotypes into an order for selection, exploring all the genotype variation among and within progenies, however, considering each trait analyzed separately. This procedure has been shown to be efficient, for passion fruit (Freitas et al 2016, Santos et al 2015, guava (Paiva et al 2016), and papaya (Oliveira et al 2012, Vivas et al 2014.…”

Section: Resultsmentioning

confidence: 99%

Estimation of genetic parameters and selection for rooting capacity in peach

Oliveira

Bruckner

Silva

et al. 2018

Crop Breed. Appl. Biotechnol.

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One of the most important criteria in the improvement of rootstocks is easiness of propagation. The objective of the present study was to verify the existence of genetic variability and the possibility of gains with selection in the rooting capacity among peach genotypes. Seventy-seven genotypes of peach belonging to five F 3 families were evaluated. Rooting percentage (RP), number of roots per cutting (NR) and mean root length (RL) were evaluated. Genetic values were estimated. The nineteen genotypes with the lowest rank summation index were selected to estimate the genetic gains. The variables RP, NR and RL had progeny mean heritabilities of 0.53, 0.60 and 0.83, respectively. Of the individuals selected, 89.5% belonged to the 713 (Talismã x Adafuel) family. The estimation of the genetic and phenotypic parameters show the possibility of success by selecting superior genotypes, with gains of 9.09, 17.47 and 24% for RP, NR and RL, respectively.

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Section: Resultsmentioning

confidence: 99%

Estimation of genetic parameters and selection for rooting capacity in peach

Oliveira

Bruckner

Silva

et al. 2018

Crop Breed. Appl. Biotechnol.

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“…In addition, the large amplitudes between the maximum and minimum variable values within each progeny may be due to the influence of biotic and abiotic factors during flowering and development, even within the intrinsic factors of the species. According to Paiva, Viana, Santos, Freitas and Amaral (2016), the amplitudes may be indicative of the high genetic variability of a species, which is an acceptable variation in progeny research.…”

Section: Resultsmentioning

confidence: 99%

Selection of snap beans progenies to improve physiological quality of seeds

Oliveira

Bueno

Bottega

et al. 2020

Semina: Ciênc. Agrár.

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Research on snap bean seed production is essential for this crop to compete against other species that have better production technologies. This study aimed to select a physiological quality evaluation test for snap beans to improve progeny selection strategies. The experiment was conducted in the Seed Analysis Laboratory at the Federal Institute of Goiano, campus Iporá-GO. Seed from thirteen progenies were evaluated for physiological quality from a breeding program conducted by the genetic breeding department of the State University of Goiás, campus Ipameri. Seeds were evaluated for moisture content, thousand-seed weight, biometry (length, width, and thickness), germination, seedling vigor classification, length and seedling dry mass, emergence in the field, and emergence speed index of seedlings in the field. The genetic variability in the evaluated characteristics indicated that genetic breeding can contribute to a better performance in snap bean seed physiological quality. The germination test, vigor classification, emergence, and emergence speed index of seedlings can be used to design strategies for snap bean population selection that produces more productive seeds.

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“…The study was developed at the Plant Breeding Laboratory (Laboratório de Melhoramento Genético Vegetal-LMGV) at UENF. Paiva et al (2016), who selected the best genotypes in 17 full-sib families of guava using restricted maximum likelihood/ best linear unbiased prediction method (Table 1), indicated the 96 individuals genotyped in this study.…”

Section: Evaluated Populationmentioning

confidence: 99%

Genetic-molecular characterization in guava full-sib progeny

et al. 2022

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Brazil is one of the world's largest producers of guava (Psidium guajava L.), a very promising fruit in the northern region of the state of Rio de Janeiro. Despite this, no guava cultivar has been developed for the region. Thus, this study proposed to examine a population of guava full sibs using microsatellite markers and to identify which genotypes are the most divergent for future crosses, to select cultivars better adapted to the soil and climatic conditions of northern Rio Janeiro. Ninety-six superior genotypes were selected according to their agronomic traits, which were characterized using 45 microsatellite markers. The genetic distance between the analyzed genotypes, their clustering pattern and the genetic structure of the population were estimated. Hierarchical cluster analysis by the neighbor joining method indicated the formation of three distinct groups. The use of molecular information revealed the existence of moderate genetic variability between the genotypes of the full-sib families. Bayesian analysis separated the genotypes into only two groups, as the individuals shared most of the analyzed genomic regions. The most genetically divergent guava genotypes, that is, those allocated to different groups, such as genotypes 5 and 85, should be recommended for future crosses to obtain segregating populations, thus giving continuity to the guava breeding program.

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Genetic gain estimated by different selection criteria in guava progenies

Cited by 8 publications

References 13 publications

Estimation of genetic parameters and selection for rooting capacity in peach

Estimation of genetic parameters and selection for rooting capacity in peach

Selection of snap beans progenies to improve physiological quality of seeds

Genetic-molecular characterization in guava full-sib progeny

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