ESTIMATES OF GENETIC PARAMETERS USING RELM/BLUP FOR INTRA-POPULATIONAL GENETIC BREEDING OF Platonia insignis Mart.

Maia, Maria Clideana Cabral; Macedo, Luciano Medina; Vasconcelos, Lúcio Flavo Lopes; Aquino, João Pedro Alves de; Oliveira, Luís Cláudio de; Resende, Marcos Deon Vilela de

doi:10.1590/0100-67622016000300020

Cited by 5 publications

(6 citation statements)

References 15 publications

(28 reference statements)

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“…This methodology has been widely used to estimate genetic parameters, select progenies, adaptability and stability. It is also used in breeding programs of perennial species, such as bacuri (Maia et al, 2016a), cajuí (small cashew) (Maia et al, 2016b), baru (Santos et al, 2014), Brazil nut (Pedrozo et al, 2015), passion fruit (Santos et al, 2015;Freitas et al, 2016;Silva et al, 2016), coffee (Rodrigues et al, 2013), peach (Bruna et al, 2012, and others. Nevertheless, references in the literature were not found regarding the use of this method in grape breeding.…”

Section: Introductionmentioning

confidence: 99%

Repeatability coefficients and genetic gains in table grape progenies for the Brazilian semi-arid region

Leão

Nunes

Souza

2018

Sci. agric. (Piracicaba, Braz.)

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Table grape stands out among the main fruit-bearing plants of irrigated agriculture in the São Francisco Valley region of Brazil. This study estimated repeatability and heritability coefficients and predicted genetic gains in order to select superior genotypes in grape progenies from controlled hybridizations using the Restricted Maximum Likelihood/Best Linear Unbiased Prediction (REML/BLUP) methodology. Individual plants were evaluated for the variables of production (kg per plant), number of bunches, bunch weight (g), berry diameter (mm), and soluble solids content (°Brix). We evaluated 194 hybrids from 30 crosses between Vitis vinifera and interspecific hybrids in Juazeiro, Bahia State, Brazil, over four growing seasons. Repeatability coefficients, ranging from 0.164 for soluble solids content to 0.72 for berry diameter, were estimated with accuracy values higher than 80 % for all variables, except for soluble solids content (66 %). The 30 best individuals classified for each variable exhibited genetic gains and their new estimated mean values were higher than the overall mean of the population in all variables. Regarding production and number of bunches per plant as the main variables, 15 genotypes were selected simultaneously for both variables. Among which, hybrids CPATSA 15.05, 15.06, 15.06T, and 23.103 stand out because they have trace seeds and should be selected for the following steps of genetic breeding to develop new table grape cultivars for the Brazilian semiarid region.

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Section: Introductionmentioning

confidence: 99%

Repeatability coefficients and genetic gains in table grape progenies for the Brazilian semi-arid region

Leão

Nunes

Souza

2018

Sci. agric. (Piracicaba, Braz.)

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“…Similarly to NPP in generation F 3 , two negative h 2 PO values were estimated for P100 using the ANOVA; REML was the only method that did not result in negative estimates (Tables 1 and 2). According to Maia et al (2016), this is a characteristic of the REML methodology, which shows a non-negativity restriction for the estimates of the variance components. Moreover, PH and NPP presented h 2 b estimates higher than 80 and 90%, respectively.…”

Section: Resultsmentioning

confidence: 99%

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

Costa

Santos

2022

Pesq. agropec. bras.

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The objective of this work was to compare different methods to estimate heritability in 30 pigeon pea families from the F3, F4, F5, and F6 generations, for nine variables. The experimental design was a randomized complete block with three replicates and 20 plants per plot. Broad-sense heritability was estimated by the analysis of variance ( A N O V A) [ h 2b-E(MS)], restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) (h2b-REML), parent-offspring regression (h2PO), and standard deviation unit (h2UP). The h2b-E(MS) and h2b-REML estimates were similar for seven of the analyzed variables. For a higher genetic control and easier selection, values of h2b-E(MS) and h2b-REML >0.70 were estimated for two variables in four generations, two variables in three generations, three variables in two generations, and one variable in one generation. Values of h2UP and h2PO >0.70 were obtained for four and five variables, respectively. The estimates via regression or parent-offspring correlation showed some values outside the expected range of 0 to 1. The ANOVA [h2b-E(MS)] and REML/BLUP [h2b-REML] methods are the best to estimate pigeon pea heritability.

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“…Lo que puede obedecer al tamaño de la muestra usada en el estudio. Esto pudo repercutir en el índice de variabilidad genética (b) y la heredabilidad, dado que esta predice el potencial de transmisión de genes con acción aditiva a la siguiente generación, haciendo menor el progreso genético, ya que la parte ambiental no es heredable (Maia et al, 2016;Lopes et al, 2017).…”

Section: Parámetros Genéticosunclassified

“…La probabilidad de lograr avances importantes por selección fenotípica para los caracteres PFR y LFR, es concordante con los expresado por Correa et al (2013) y Mohamad et al (2017, quienes sostienen que la superioridad de la variación genética sucede cuando los efectos ambientales son menos influyentes en la medición de los valores fenotípicos. Maia et al (2016), en trabajos de mejoramiento por selección, resaltaron que la heredabilidad en sentido estricto (h 2 E ) es de mayor importancia, debido a que determina cuánto de la apariencia fenotípica de las plantas es el reflejo exacto del valor genotípico aditivo y de la acción de los genes que responden a la selección.…”

Section: Parámetros Genéticosunclassified

“…(Espitia-Camacho et al, 2018a), Platonia insignis Mart. (Maia et al, 2016) y Euterpe oleracea Engel. Las magnitudes de estos parámetros indican que, en futuras evaluaciones en campo, podría haber mayor expresión de variación genética para otros caracteres asociados, con buenas perspectivas de variabilidad, para ser aprovechada a lo largo de un programa de mejoramiento genético (Correa et al, 2013).…”

Section: Parámetros Genéticosunclassified

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PARÁMETROS GENÉTICOS DE CARACTERÍSTICAS BIOMÉTRICAS DEL FRUTO Y SEMILLA EN Caesalpinia ebano (FABACEAE)

et al. 2021

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El objetivo del estudio fue evaluar los parámetros genéticos de las características biométricas del fruto y semillas de Caesalpinia ebano. La investigación se realizó en Montería (Colombia), se seleccionaron diez árboles, y de cada uno diez, frutos tomados al azar. Se realizaron análisis de varianza y estimación de parámetros genéticos para nueve características: peso fresco del fruto, largo del fruto, ancho del fruto, grosor del fruto, número de semillas/fruto, peso de semillas por fruto, peso de una semilla, volumen de una semilla y densidad de una semilla. Se detectaron diferencias estadísticas (p < 0,01) entre árboles, para todas las características, excepto para el ancho del fruto y peso de una semilla; denotando la existencia de variabilidad genética entre los árboles para peso del fruto, largo del fruto, grosor del fruto, número de semillas y densidad de una semilla. El peso y largo del fruto presentaron la heredabilidad media familiar y heredabilidad en el sentido estricto con los valores más altos (h2Fam > 82 % y h2E > 30 %). La ganancia genética esperada fue mayor del 10 % en cinco de las nueve características estudiadas, y mayor del 20 % para número de semillas y peso de las semillas (27,31 y 27,87 %, respectivamente). Los caracteres peso y largo del fruto se podrían transmitir a las generaciones sucesivas, con mayor posibilidad de éxito, mediante la selección fenotípica de árboles.

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ESTIMATES OF GENETIC PARAMETERS USING RELM/BLUP FOR INTRA-POPULATIONAL GENETIC BREEDING OF Platonia insignis Mart.

Cited by 5 publications

References 15 publications

Repeatability coefficients and genetic gains in table grape progenies for the Brazilian semi-arid region

Repeatability coefficients and genetic gains in table grape progenies for the Brazilian semi-arid region

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

PARÁMETROS GENÉTICOS DE CARACTERÍSTICAS BIOMÉTRICAS DEL FRUTO Y SEMILLA EN Caesalpinia ebano (FABACEAE)

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