Repetibility in Guava: How Many Evaluations Is Necessary for Selection the Best Guava Tree?

Almeida, Claudia Lougon Paiva de; Viana, Alexandre Pío; Santos, Eileen Azevedo; Quintal, Silvana Silva Red

doi:10.35418/2526-4117/v1n2a5

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…In addition to increased yields, guava breeding programs aim at the production of fruits with dual purpose. In doing so, they are able to meet the market demand, with fresh fruit for table consumption and for industrial use (Almeida et al, 2019;Mitra, 2010).…”

Section: Introductionmentioning

confidence: 99%

Selection and genetic dissimilarity in S2 families of guava through seed attributes

Maitan,

Viana,

Vieira

et al. 2023

Rev. Ceres

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This study was developed to carry out selection, estimate genetic parameters and predict individual genetic values of 55 genotypes from S 2 families as well as estimate genetic dissimilarity based on physiological seed attributes. All S 2 genotypes evaluated were obtained from self-pollination of S 1 genotypes from the guava breeding program. The experiment was laid out in blocks with 55 S 2 genotypes and four blocks. Genetic parameters were estimated and the best genotypes were selected based on the genetic value, using the statistical method of mixed models. In addition, genetic divergence was estimated based on the mean Euclidean distance. Although heritability values were considered medium to high magnitude for germination (0.22) and germination speed index (0.35), genetic gains were obtained for all traits. Based on the evaluation of individual BLUPs, the S2 genotypes that contributed to most of the evaluated traits were: 5, 31, 85, 214, 369, 393, 398, 442, 443, 444, 449 and 529, suggesting potential to generate vigorous. Through genetic dissimilarity, it was possible to verify the formation of five distinct groups. Therefore, the selection of divergent genotypes with high average for germination is recommended for the advancement of generation in the guava breeding plant.

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Section: Introductionmentioning

confidence: 99%

Selection and genetic dissimilarity in S2 families of guava through seed attributes

Maitan,

Viana,

Vieira

et al. 2023

Rev. Ceres

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show abstract

“…Thereby, the individual evaluation of genotypes, the estimate of the components of variance (Restricted maximum likelihood-REML), and the prediction of individual genetic values (Best linear unbiased prediction-BLUP) are possible by means of mixed models, thus maximizing the collection of additive variances, which may enhance the required genetic gains, resulting in a more accurate selection process. In this scenario, mixed models have been applied in many perennial species to predict more accurate genetic values and estimate the repeatability of the variables, which makes it possible to estimate the minimum number of evaluations needed (FERREIRA et al, 2012;PEREIRA et al, 2013;HARDNER et al, 2016;QUINTAL et al, 2017;PAIVA et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Coefficient of repeatability, stability,and adaptability estimates for Psidium guajava S1 progenies via mixed models

et al. 2023

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This study intends to estimate the coefficient of repeatability for traits relating to yield, so as to infer what is the minimum number of evaluations required to identify superior genotypes; to verify adaptability and stability; to predict genetic gains; and to select the best families and in S1 progenies of Psidium guajava. Families were obtained by means of self-fertilization of superior genotypes (full sibs) from the guava tree genetic breeding program of the UENF. The experiment was implemented at the Experimental Station of Ilha Barra do Pomba, in the municipality of Itaocara-RJ. In this case, an experimental randomized block design was used with 18 inbred families, three replicates, and ten plants per plot. Inbred families were evaluated in three harvests regarding fruit weight, number of fruits per plant, and total yield. It was then conducted an analysis of repeatability, adaptability, and stability of genotypes by means of the Selegen/REML/BLUP program. Repeatability values show that the performance of genotypes is constant among measurements, suggesting the need to perform only three evaluations for the selection of superior genotypes. There was agreement on the choice of families 1, 4, 6, and 12 as the most yielded, adaptable, and stable for the traits evaluated.

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Genotypic superiority and repeatability coefficient in elephant grass clones for forage production via mixed models

et al. 2023

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Repetibility in Guava: How Many Evaluations Is Necessary for Selection the Best Guava Tree?

Cited by 4 publications

References 6 publications

Selection and genetic dissimilarity in S2 families of guava through seed attributes

Selection and genetic dissimilarity in S2 families of guava through seed attributes

Coefficient of repeatability, stability,and adaptability estimates for Psidium guajava S1 progenies via mixed models

Genotypic superiority and repeatability coefficient in elephant grass clones for forage production via mixed models

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