scholarly journals Genetic progress in maize from advanced cycles of reciprocal recurrent selection through REML/BLUP

2020 ◽  
pp. 1295-1301
Author(s):  
José Arantes Ferreira Júnior ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Jocarla Ambrosim Crevelari ◽  
Julio Cesar Fiorio Vettorazzi ◽  
Vivane Mirian Lanhellas Gonçalves ◽  
...  
Keyword(s):  
Grain Yield ◽  
Mixed Models ◽  
Variance Components ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Yield Potential ◽  
Reciprocal Recurrent Selection ◽  
Genetic Progress ◽  
Advanced Cycles ◽  
Selection Of

Breeding methods such as reciprocal recurrent selection (RRS) is very important alternative to breeders. This strategy, besides allowing continuous genetic progress, helps maintaining the genetic variability of populations. The aim of the present study was to estimate genetic parameters, as well as to predict selection gains in advanced cycles of reciprocal recurrent selection of maize progenies through mixed models. Two selection cycles were considered. We evaluated 196 and 169 progenies in the 15 and 16 cycles, respectively. The yield potential of the progenies was evaluated from the following characteristics: grain yield, number of ears, weight of ears and weight of 100 seeds. The estimate of variance components and the prediction of genetic values were based on the REML/BLUP method. Overall, the genetic parameters were increased in the 16th cycle estimates compared to the previous cycle. It is worth highlighting that heritability coefficient for the grain yield was (0.81) in the 16th cycle, since it resulted in 21% of selection gain. Results showed that, even after sixteen recurrent selection cycles, the populations under selection have high potential for satisfactory genetic gains.

scholarly journals Selection gains for the palm oil production from progenies of American oil palm with oil palm

2021 ◽  
Vol 56 ◽  
Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Oil Production ◽  
Reciprocal Recurrent Selection ◽  
Fresh Fruit Bunches ◽  
Favorable Conditions ◽  
Selection Of

Abstract The objective of this work was to estimate the genetic parameters, correlations, and selection gains for the oil production of interspecific hybrids progenies between American oil palm, of ‘Manicoré’ origin, and oil palm, of ‘La Mé’ origin. Thirty-nine progenies were evaluated from the sixth to the ninth year after planting, for the productivity of fresh fruit bunches (PROD_FFB), oil content in the bunch (OCB), and palm oil productivity (PROD_OP). The genetic parameters and gains from direct (GDS) and indirect (GIS) selection were estimated for PROD_OP. High values of heritability for the CVg/CVe ratio indicated favorable conditions for the selection. With the selection of 20% of the progenies (selection in both sexes), the following estimates were obtained: 11.15% GDS for PROD_OP, 9.1% GIS for OCB, and 8.1% GIS for PROD_FFB. The PROD_OP of the progenies was of 6,175, 6,057, and 5,995 kg ha-1 per year with GDS and GIS for OCB and PROD_FFB, respectively. The restricted selection of the LM2T male genitor offspring resulted in 5.1% estimated GSD and in a mean of 5,800 kg ha-1 per year for PROD_OP. Selection gains for PROD_OP can be achieved immediately through the selection restricted to oil palm male genitors, and, in the medium and long term, through the interspecific reciprocal recurrent selection between American oil palm and oil palm populations.

GENETIC VARIANCE COMPONENTS IN CULTIVATED STRAWBERRY

1970 ◽  
Vol 12 (1) ◽  
pp. 52-59 ◽  
Author(s):  
R. Watkins ◽  
L. P. S. Spangelo ◽  
A. T. Bolton
Keyword(s):  
Variance Components ◽  
Large Scale ◽  
Genetic Variance ◽  
Recurrent Selection ◽  
Small Scale ◽  
Relative Importance ◽  
Reciprocal Recurrent Selection ◽  
Genetic Progress ◽  
Total Genetic Variance ◽  
Large Scale Testing

Two methods of determining the relative importance of the additive, dominance and epistatic components of genetic variance indicated that the nonadditive variance (most of which was shown to be epistatic) constituted approximately 50% of the total genetic variance for 20 commercial characteristics of the cultivated strawberry. With nonadditive, particularly epistatic, variance being so important, genetic progress may best be achieved by a two-step breeding procedure involving small scale testing of all the progenies followed by large scale testing of the best progenies. Breeding procedures involving such methods as reciprocal recurrent selection, inbreeding and backcrossing would be more efficient as a means of generating special types of parents for such a program than they would be as isolated breeding procedures.

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

2016 ◽  
Vol 40 (3) ◽  
pp. 561-573 ◽  
Author(s):  
Maria Clideana Cabral Maia ◽  
Luciano Medina Macedo ◽  
Lúcio Flavo Lopes Vasconcelos ◽  
João Pedro Alves Aquino ◽  
Luís Cláudio Oliveira ◽  
...  
Keyword(s):  
Variance Components ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Indirect Selection ◽  
Best Linear Unbiased Prediction ◽  
Selection Differential ◽  
Linear Unbiased Prediction ◽  
Genetic Breeding ◽  
Best Linear Unbiased ◽  
Selection Of

ABSTRACT The aim of this study was to estimate genetic parameters to support the selection of bacuri progenies for a first cycle of recurrent selection, using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) procedure to estimate the variance components and genotypic values. Were evaluated twelve variables in a total of 210 fruits from 39 different seed trees, from a field trial with an experimental design of incomplete blocks with clonal replies among subplots. The three variables related with the fruit development (weight, diameter, length) showed strong correlation, and where fruit length showed higher heritability and potential to be used for indirect selection. Among the 39 progenies evaluated in this study, five present potential to compose the next cycle of recurrent selection, due they hold good selection differential either to agrotechnological variables as to development of bacuri fruit.

scholarly journals GENETIC GAINS IN THE POPCORN POPULATION UENF-14: DEVELOPING THE NINTH GENERATION OF INTRAPOPULATION RECURRENT SELECTION

2019 ◽  
Vol 32 (3) ◽  
pp. 625-633
Author(s):  
AMANDA GONÇALVES GUIMARÃES ◽  
ANTÔNIO TEIXEIRA DO AMARAL JÚNIOR ◽  
GUILHERME FERREIRA PENA ◽  
JANEO EUSTÁQUIO DE ALMEIDA FILHO ◽  
MESSIAS GONZAGA PEREIRA ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Recurrent Selection ◽  
Selection Process ◽  
Selection Index ◽  
Average Height ◽  
Direct And Indirect Effects ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Selection Of

ABSTRACT The occurrence of negative correlations between grain yield (GY) and popping expansion (PE) in popcorn complicates the selection process. In an attempt to overcome this inconvenience, we proposed the use of the importance characteristic volume per popcorn per hectare (PV). The objectives of this study were to develop the ninth cycle of the UENF-14 popcorn population, to estimate the direct and indirect effects of PV and to verify the genetic progress among all selective cycles. We obtained and evaluated 200 inbred progenies in randomised blocks arranged in replicates within sets, with nine sets consisting of 25 progenies and one set with all previous eight cycles with three replicates. The average height of the plants, prolificacy, 100-grain weight, grain yield, grain popping expansion and volume per popcorn per hectare were evaluated. Track analysis was performed to determine the direct and indirect effects, and the Mulamba and Mock selection index was calculated for the selection of the 40 superior progenies. There was genetic variability among progenies in all evaluated traits, with a cause-and-effect relationship between PV with GY and PE, allowing simultaneous gains with indirect selection. The selection of the best progenies was more effective when using arbitrarily assigned weights, which provided higher predicted gains for PV (20.73%). The means obtained in all cycles indicated increases, demonstrating the efficiency of using continuous recurrent selection in popcorn breeding programs.

scholarly journals Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny

2022 ◽  
Vol 52 (5) ◽  
Author(s):  
Fernanda Vargas Valadares ◽  
Rafael Nunes de Almeida ◽  
Lázaro Renilton Emerick Silva ◽  
Geferson Rocha Santos ◽  
Raissa Olmo Lacerda Pirovani ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Analysis Of Variance ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Block Design ◽  
Reciprocal Recurrent Selection ◽  
Significance Level ◽  
Water Stress Tolerance ◽  
Sib Families ◽  
Selection Of

ABSTRACT: In view of the need to increase genetic variability to obtain materials with a significant capacity to drought tolerance, this study conducted a cycle of a reciprocal recurrent selection of full-sib families of maize. To this end, 64 full-sib families of maize were evaluated in two environments according to their morpho-agronomic data in a randomized block design with two replicates. It were analyzed of Male flowering (MF); Female flowering (FF); Flowering interval (IF); days for flowering (DF); Plant height (PH); Ear height (EH); number of plants at the Stand (NPS); Number of broken plant (NBrP); Number of bedded plants (NBeP); Strawing (St); Ear length (EL); Ear diameter (ED); Ear number (EN); Prolificacy (Pr); Number of diseased ears (NDE); Number of ears attacked by pests (NEP); Ear weight (EW); Yield (YIE) and Total Chlorophyll Index (TCI). The analysis of variance was performed by the F test at 5% significance level, and also the evaluation of genetic parameters. Regarding morpho-agronomic data, the analysis of variance and the analysis of genetic parameters showed that there was no interaction genotype x environment with regard to the genetic variability among the families under study. Lastly, the final selection of the superior genotypes was made on the basis of the ranking of the 40 most productive families, from which, combined with the molecular data, the 30 most productive, most drought-tolerant, and most genetically diverse ones were selected to compose the next cycle of recurrent maize selection aiming water-stress tolerance.

scholarly journals Selección para calidad fisiológica de la semilla y rendimiento en líneas S2 derivadas de cuatro poblaciones tropicales de maíz (Zea mays L.)

2016 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Enrique Navarro ◽  
Cristina Vega ◽  
Fernando Narváez ◽  
Hugo Córdova
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Recurrent Selection ◽  
Zea Mays L ◽  
Agronomic Traits ◽  
Reciprocal Recurrent Selection ◽  
Laboratory Conditions ◽  
Flower Plant ◽  
Ear Height ◽  
Field And Laboratory Conditions

This study was carried out in 1993 to evaluate S2 lines from four maize tropical populations improved by reciprocal recurrent selection. These lines were evaluated under field and laboratory conditions, the latter one to determine physiology quality. The main goal was to measure genetic variability within and among populations for traits such as grain yield, vigor and germination and to select the best lines under field and laboratory conditions. The combined analysis of variance showed great genetic variability among the S2 lines within and among populations for grain yield, days to flower, plant and ear height, among others. The maximum genetic variability was observed on the lines from population 43 and pool 23 for most of the traits, although the latter showed a greater genetic variability for grain yield. Besides, it is important to mention that the above populations included the best genotypes for grain yield, germination and vigor. Taking into account the above mentionel agronomic traits, fifteen lines were selected; 2 belong to population 43* pool 20, 2 from pool 19* pool 23, 8 from population 43, and 3 from pool 23. These results confirm the genetic superiority of the lines from populations 43 and pool 23, so that these populations should be recommended for future genetic improvement by reciprocal recurrent procedures.

scholarly journals Identification of Heterotic Pairs by Full-Sib Reciprocal Recurrent Selection in Maize Synthetic Populations on Turda CompositeA(B)(2) x Turda CompositeB(A)(2)

2013 ◽  
Vol 70 (1) ◽  
pp. 208-213
Author(s):  
Andreea Daniela ONA ◽  
Ioan HAȘ ◽  
Ivan ILARIE ◽  
Voichița HAȘ ◽  
Nicolae TRITEAN ◽  
...  
Keyword(s):  
Recurrent Selection ◽  
Inbred Lines ◽  
Heterotic Group ◽  
Yield Potential ◽  
Reciprocal Recurrent Selection ◽  
Maize Breeding ◽  
Gene Effects ◽  
Synthetic Populations ◽  
Additive Gene ◽  
Selection Test

In the last 40 years, pre-breeding works induced, in more and more centers of maize breeding, full-sib reciprocal recurrent selection programmes to identify some heterotic pairs which can be sources for obtaining performance inbred lines. The aim is to identify the heterotic pairs with the best results according to the yield potential of maize, the breaking and falling resistance, and the grains moisture at the harvesting time. The creation programme of A and B composite population started at ARDS Turda in 1985. Inside of A composite came the next inbred lines: B73, A632, M117, TC209, T291, being from the B SSS heterotic group, and inside of B composite came the inbred lines Mo17, C103, TC 208, T248, W633, appreciated by us or being related to Lancaster Sure Crop heterotic group. The experimentation was done in two orientation comparative cultures, each one with 49 variants, in 4 repetitions; the comparative culture was a balanced quadratic grid of 7x7 type. From each culture were chosen the first six variants, which were evaluated according to the next characters: production potential, breaking and falling resistance, grains moisture at harvest. The presented results are a part from the second cycle of full-sib reciprocal recurrent selection. Test crosses and self-pollinations were made on plants from the two composites which had two cobs; on the first cob from A Composite realised the cross with the corresponding plant from the B Composite, and from the plant panicle of the B Composite was collected pollen to pollinate the chosen plant from the A Composite. At the both plants from the crossing, the second cob was self-pollinated and kept in reserve until 2010, when the test crosses was experimented and were selected the pairs with the best results according to the above characters. Using the full-sib reciprocal recurrent selection, we can successfully harnessing, simultaneously, the additive and non-additive gene effects.

scholarly journals (Co)variance components and genetic parameters for growth rate and Kleiber ratio in fat-tailed Mehraban sheep

2013 ◽  
Vol 56 (1) ◽  
pp. 564-572 ◽  
Author(s):  
F. Ghafouri-Kesbi
Keyword(s):  
Growth Rate ◽  
Variance Components ◽  
Genetic Parameters ◽  
Average Daily Gain ◽  
Genetic Correlations ◽  
Phenotypic Variance ◽  
Genetic Progress ◽  
Kleiber Ratio ◽  
Derivative Free ◽  
Maternal Heritability

Abstract. The aim of the present study was to estimate (co)variance components and genetic parameters for average daily gain from birth to weaning (ADGa), weaning to 6 months (ADGb), weaning to 9 months (ADGc), 6 months to 9 months (ADGd) and corresponding Kleiber ratios (KRa, KRb, KRc and KRd) in Mehraban sheep. A derivative-free algorithm combined with a series of six univariate linear animal models was used to estimate phenotypic variance and its direct, maternal and residual components. In addition, bivariate analyses were done to estimate (co)variance components between traits. Estimates of direct heritability (h2) were 0.10, 0.11, 0.16, 0.09, 0.13, 0.13, 0.15 and 0.08 for ADGa, ADGb, ADGc, ADGd, KRa, KRb, KRc and KRd, respectively and indicate that in Mehraban sheep genes contribute very little to the variance of the growth rate and Kleiber ratio. Estimates of maternal heritability (m2) were 0.10, 0.08 and 0.05 for ADGa, KRa and KRb, respectively. Direct additive genetic correlations ranged from −0.32 (KRa-KRd) to 0.99 (ADGb-KRb) and phenotypic correlations ranged from −0.53 (ADGa- ADGd) to 0.99 (ADGa-KRa). Estimates of direct heritability and genetic correlations show that genetic improvement in efficiency of feed utilization through selection programmes is possible, though it would generate a relatively slow genetic progress.

scholarly journals Estimation of genetic parameters and selection of elephant-grass ( Pennisetum purpureum Schumach.) for forage production using mixed models

2018 ◽  
Vol 78 (2) ◽  
pp. 198-204 ◽  
Author(s):  
Wanessa F. Stida ◽  
Rogério F. Daher ◽  
Alexandre P. Viana ◽  
Ana Kesia F. Vidal ◽  
Rafael S. Freitas ◽  
...  
Keyword(s):  
Mixed Models ◽  
Genetic Parameters ◽  
Pennisetum Purpureum ◽  
Elephant Grass ◽  
Forage Production ◽  
Estimation Of Genetic Parameters ◽  
Selection Of

scholarly journals Estimate of genetic parameters and predicted gains with early selection of physic nut families

2012 ◽  
Vol 36 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Bruno Galvêas Laviola ◽  
Alexandre Alonso Alves ◽  
Fábio de Lima Gurgel ◽  
Tatiana Barbosa Rosado ◽  
Rhayanne Dias Costa ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Parameters ◽  
Genetic Variance ◽  
Additive Genetic Variance ◽  
Biodiesel Production ◽  
Early Selection ◽  
Physic Nut ◽  
Genetic Gains ◽  
Canopy Volume ◽  
Selection Of

An initial evaluation of early selection of physic nut genotypes based on phenotypic data is presented. In order to predict the genetic gains with early selection, genetic parameters, e.g. additive genetic variance, were first obtained for grain yield along with other numerous traits. The results demonstrated that additive genetic variance exists not only for grain yield, which is considered to be the most important trait for oil and biodiesel production, but also for numerous other traits. The predicted genetic gains for grain yield, considering the selection of the 30, 20, 10 and 5 best families in the second crop year are respectively, 40.47, 48.43, 61.78 and 70.28%. With the selection of highly yielding physic nut genotypes indirectly genotypes with enhanced volume would be also selected, because yield exhibits moderate to high genetic correlations with height e canopy volume. The results here presented demonstrate the potential of the population gathered in the Brazilian physic nut germplasm bank for genetic breeding purposes and that superior physic nut families can be selected with high accuracy based on the evaluation of its second crop.

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