Seleção de progênies femininas de mamoeiro para resistência a mancha-de-phoma via modelos mistos

Vivas, Marcelo; Silveira, Silvaldo Felipe da; Vivas, Janieli Maganha Silva; Viana, Alexandre Pío; Pereira, Messias Gonzaga

doi:10.1590/1678-4499.216

Cited by 20 publications

(19 citation statements)

References 9 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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“…For the individual values, the classical selection index proposed by Smith (1936) and Hazel (1943) was used with three variations: (i) non-standardized means (NSM) obtained by the phenotypic evaluation of the variables, (ii) standardized means (SM) obtained by (c-c)/s 2 c , where c is the arithmetic mean of the individual, c is the overall mean of the characteristic, and s 2 c is the standard deviation, and (iii) genotypic values predicted by mixed models (GVP). The following economic weights were defined as proposed by Ramos et al (2014), Vivas et al (2014) and in the objectives of the Incaper breeding program: PH, WF, and LF = 1; SC = 5; IHFF = −10; PT = 50; MF = 20; SS = 100; PSL, BSL, and BSF = −30.…”

Section: Methodsmentioning

confidence: 99%

Selection index based on phenotypic and genotypic values predicted by REML/BLUP in Papaya

et al. 2019

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Selection of superior genotypes based on the simultaneous responses to different characteristics is a fundamental strategy in plant breeding. This study aimed to compare the efficiency of four selection index constructed using phenotypic and genotypic values in a segregating population of the cultivar Rubi Incaper 511. Eight morpho-agronomic variates and the severity of black-spot and phoma-spot were evaluated under field conditions. The classical selection index were calculated based on non-standardized phenotypic means (NSM), standardized means (SM), and genotypic values predicted by REML/BLUP (GVP), using predetermined economic weights. Additionally, the rank sum (RS) was obtained on the basis of the classification of individuals in these three selection index. For ten characteristics, the selected individuals showed a higher mean than did the original population. The best selection differential values were obtained by SM, however, the highest degree of coincidence among the selected individuals was obtained between GVP and RS (80%). The index used were efficient at selecting individuals with higher soluble solids and lower diseases severity evaluated. Therefore, for the papaya breeding programs, different selection index need to be evaluated to maximize genetic gain.

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“…A feasible approach for increasing the number of commercial varieties and hybrids is to expand the genetic base of papaya by exploiting the variability existing in germplasm banks (Quintal et al, 2012;Vivas et al, 2015;Silva et al, 2017) and creating new hybrids in breeding programs (Pereira et al, 2002). Efforts should be made to broaden the genetic base and develop cultivars that meet the requirements of domestic and foreign markets and are less susceptible to pests and diseases and more resistant to biotic and abiotic stresses (Vivas et al, 2012(Vivas et al, , 2014(Vivas et al, , 2015.…”

Section: Introductionmentioning

confidence: 99%