Physiological responses of seeds from full-sib guava families to different substrate temperatures

Maitan, Mariana Quintas; Viana, Alexandre Pío; Vieira, Henrique Duarte; Silva, Carla Caroline Amaral da; Rodrigues, Daniele Lima; Leal, Lucas Souza da Silva

doi:10.1590/0100-29452020278

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…As for the substrate, the lower first count and final emergence value is due to the fact that the commercial substrate has high porosity; and therefore, the contact surface with seeds and water holding capacity is reduced, which can impair root protrusion (SOUZA et al, 2018), unlike what was observed using substrate containing DRL and/or coarse sand. For germination to occur, seeds need to have adequate contact with the substrate so that they absorb water, and thus start the process of using reserves and synthesizing hormones associated with this process (MAITAN et al, 2020;IBANHES NETO et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

Hydropriming and substrates affect the emergence and production of Calendula officinalis L. seedlings

Santos,

Silverio,

Beltramin

et al. 2024

Cienc. Rural

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In order to establish protocols that can contribute to the propagation of medicinal plants, this study evaluated the effect of hydropriming and substrates on the emergence and production of Calendula officinalis L. seedlings. Seeds were submitted or not to hydropriming for 24 hours, and subsequent sowing in four substrates: S1) 100% Dystroferric Red Latosol - DRL, S2) DRL + coarse sand (1:1 v/v), S3) DRL + Tropstrato® commercial substrate (1:1 v/v) and S4) 100% Tropstrato®, and kept in greenhouse with 50% shading. Higher emergence percentage in substrates with the presence of DRL was observed. Seed hydropriming impaired seedling emergence, but contributed to root growth, biomass production and seedling quality. The 100% Tropstrato® substrate favored higher dry mass production and seedling quality. Positive linear correlation (≥ 0.70) was observed between shoot and root growth characteristics with biomass production and Dickson’s quality index. Principal component analysis explained 78.95% of the experimental variance, excluding the first count and the shoot/root ratio with low representativeness. In the cluster analysis of Euclidean distances, seedlings with the greatest similarity were those produced with 100% DRL and DRL + Tropstrato® with and without hydropriming, respectively. Dystroferric Red Latosol is recommended pure or combined with Tropstrato® for the production of C. officinalis L seedlings, and the hydropriming impaired seedling emergence characteristics.

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Section: Resultsmentioning

confidence: 99%

Hydropriming and substrates affect the emergence and production of Calendula officinalis L. seedlings

Santos,

Silverio,

Beltramin

et al. 2024

Cienc. Rural

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“…The germination chambers were set to an alternating temperature of 35-25 °C, with a light/ dark photoperiod of 8 h/16 h, respectively. Assessments were carried out on alternate days until the 28th day, when germination speed index and the percentages of normal seedlings, abnormal seedlings and non-germinated seeds were recorded (Maitan et al, 2020).…”

Section: Plant Materialsmentioning

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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“…The State University of Northern Rio de Janeiro (UENF) has been developing a breeding program with the species P. guajava L. The works have yielded promising results, according to Pessanha et al (2011), Campos et al (2013), Oliveira et al (2013), Campos et al (2016), Quintal et al (2017), Maitan et al (2020), Silva et al (2020), Souza et al (2020), Ambrosio et al (2021), and Silva et al (2021). These good results point to the possibility of obtaining inbred guava families through self-pollination, which will allow the development of varieties (pure lines) as well as the production of hybrids through the exploitation of heterosis.…”

Section: Introductionmentioning

confidence: 99%

Digital Phenotyping in Inbred Guava Lines: Seed Characterization

Silva¹,

Vieira²,

Viana³

et al. 2021

FPBJ

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Guava, Psidium guajava L., is a species of economic importance for several countries. The production of new varieties of guava from seeds with good germination and vigor potential has been investigated. In this scenario, the present study characterized and estimated the genetic diversity of seeds of 42 genotypes of guava from an S2 family based on germination response, vigor tests, and digital phenotyping analysis. The experiment was laid out in a randomized-block design with four replicates. Descriptive statistics were carried out for each of the analyzed variables and multivariate analyses were used to estimate genetic diversity based on Gower's Distance. Digital analysis was performed using the GroundEye S120 system, which extracted color, geometry, texture, and histogram data. In total, three color, two geometry, five texture, four physiological analysis, and 17 histogram variables were used. The physiological variables and those obtained by digital phenotyping were efficient to discriminate the genotypes, indicating that there is genetic variability to be exploited within the guava breeding program. The traits that most contributed to genetic diversity were those related to the histogram. The genotypes belonging to groups I and III had the highest means for germination percentage, thousand-seed weight, and shoot length. Based on the results, two options are viable for conducting the guava breeding program. The most vigorous individuals can be self-pollinated for the development of lines and the superior and most divergent ones from groups I and III can be crossed to exploit heterosis. Thus, crosses between the most vigorous individuals from groups I and III are recommended, as they exhibited higher means for the traits of germination percentage, thousand-seed weight, and shoot length.

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Physiological responses of seeds from full-sib guava families to different substrate temperatures

Cited by 3 publications

References 14 publications

Hydropriming and substrates affect the emergence and production of Calendula officinalis L. seedlings

Hydropriming and substrates affect the emergence and production of Calendula officinalis L. seedlings

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

Digital Phenotyping in Inbred Guava Lines: Seed Characterization

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