Research Article Digital image analysis to quantify genetic divergence in passion fruit (&lt;i&gt;Passiflora&lt;/i&gt; &lt;i&gt;edulis&lt;/i&gt;) seeds

Fachi, Leandro Rafael; Krause, Willian; Vieira, Henrique Duarte; Luz, Petterson Baptista da; Viana, A.P.

doi:10.4238/gmr18331

Cited by 8 publications

(8 citation statements)

References 22 publications

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“…Contrary to this study, Fachi et al (2019) and Krause et al (2017) found a greater contribution to the analysis of genetic divergence, using the Ward-MLM method, in seed geometry traits. However, in the present study, the geometry variables were also predominant for the discrimination of the genotypes under study.…”

Section: Genetic Dissimilarity In S 2 Families Of P Guajavacontrasting

confidence: 99%

Phenomics approaches: genetic diversity and variance components in a S2 guava family by seed traits

et al. 2021

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Guava is of great economic importance in Brazil. The development of new cultivars by obtaining inbreeding lines has been a promising option. The objective of this work was to evaluate the S 2 families of Psidium guajava using seed attributes. Different characters of physiological quality of guava seeds were studied, in addition to performing digital phenotyping of characteristics of geometry, texture and colors of the seeds. The variables were analyzed simultaneously using the Ward-Modified Location Model (MLM) method and carried out individual analyses of variance for estimating genetic parameters of the population. The formation of more than one group of divergent genotypes was observed, the geometry characteristics were more impacting for the discrimination of the genotypes, a high phenotypic correlation was observed with the germination variables and dry matter weight. High heritabilities were verified for the variables related to seed quality, indicating success in selecting vigorous genotypes. The Ward-MLM method is a useful tool to detect genetic diversity among genotypes of inbred guava. Thus, the most divergent genotypes with high germination potential can be recommended for future crosses or self-fertilized to obtain new lines in the guava breeding program.

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Section: Genetic Dissimilarity In S 2 Families Of P Guajavacontrasting

confidence: 99%

Phenomics approaches: genetic diversity and variance components in a S2 guava family by seed traits

et al. 2021

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“…The results obtained in this study and those described by Torres et al (2019), Fachi et al (2019, and Krause et al (2017) clearly demonstrate that the contribution of each variable to determine genetic divergence can vary according to species, genotype, and family.…”

Section: Digital Phenotyping Meanssupporting

confidence: 77%

“…The C1, C2 and C3 variables did not contribute in any of the adopted strategies. Fachi et al (2019) used digital phenotyping in seeds of 98 full-sib families of passion fruit and observed that the geometry descriptors were those that most contributed to genetic divergence between families. The C1, C2 and C3 variables also did not contribute to the calculation of genetic diversity in seeds of Passiflora edulis.…”

Section: Digital Phenotyping Meansmentioning

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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“…Los marcadores morfológicos, que son características que se pueden distinguir a nivel visual, pueden ser utilizados como herramienta para la caracterización (Sattar Khan et al, 2015). En Passiflora las características morfológicas de las semillas han demostrado ser útiles para la clasificación taxonómica de sus especies (Fachi et al, 2019;Mezzonato-Pires et al, 2017;Torres et al, 2019).…”

Section: Discussionunclassified

Morfología y optimización de prueba de viabilidad en semillas de Passiflora spp. de Costa Rica

et al. 2022

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Introducción. En Costa Rica existen 51 especies nativas de pasifloras que poseen potencial comercial por sus características fitoquímicas. En Passiflora las características seminales pueden ser utilizadas para clasificar sus especies a nivel taxonómico. La identificación del material vegetal y el desarrollo de metodologías que permitan conocer su calidad es esencial para la propagación, producción y conservación. Objetivo. Caracterizar las semillas de Passiflora biflora y Passiflora adenopoda con base en su morfología y optimizar el protocolo para la determinación de su viabilidad por medio de la prueba de tetrazolio. Materiales y métodos. La caracterización morfológica y los ensayos de viabilidad se realizaron en 2022, en el Centro para Investigaciones en Granos y Semillas (CIGRAS), Universidad de Costa Rica. Se evaluaron doce caracteres morfológicos externos y se caracterizaron las estructuras internas de semillas de P. biflora y P. adenopoda. Para la optimización del protocolo de la prueba de tetrazolio se evaluó el efecto de dos tipos de corte (longitudinal y angular), dos concentraciones de sal de tetrazolio (0,5 % y 1 %), tres temperaturas (30, 35 y 40 °C) y cuatro tiempos de incubación (3, 6, 12 y 24 horas). Resultados. Los caracteres morfológicos evaluados permitieron clasificar las semillas como P. biflora y P. adenopoda. Al utilizar sal de tetrazolio al 1 %, un corte longitudinal, una temperatura de 40 °C y un tiempo de incubación de tres horas, se logró obtener un porcentaje de viabilidad similar (90 % en P. biflora y 91 % en P. adenopoda), y una tinción de la misma calidad, que el obtenido con el método internacional estandarizado. Conclusiones. Las características seminales evaluadas permitieron clasificar las semillas analizadas como P. biflora y P. adenopoda. Además, se logró optimizar el protocolo de la prueba de tetrazolio al disminuir el tiempo de incubación de 24 a 3 horas.

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Research Article Digital image analysis to quantify genetic divergence in passion fruit (<i>Passiflora</i> <i>edulis</i>) seeds

Cited by 8 publications

References 22 publications

Phenomics approaches: genetic diversity and variance components in a S2 guava family by seed traits

Phenomics approaches: genetic diversity and variance components in a S2 guava family by seed traits

Digital Phenotyping in Inbred Guava Lines: Seed Characterization

Morfología y optimización de prueba de viabilidad en semillas de Passiflora spp. de Costa Rica

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