Estimation of Genetic Parameters and Selection of Parents for  Hybridization in Dolichos Bean [Dolichos lablab L.]

Abstract. The objective of this paper was to select a suitable data subset and statistical model for the estimation of genetic parameters for 36 traits of the linear type in 977 Old Kladruber horses. Two subsets were tested to identify a suitable subset for analysis. One subset included repeated evaluation of certain individuals, whereas the other did not. The most suitable subset included repeated evaluation (n=1 390). The selection of a suitable model was made from 4 candidate models. These models comprised a number of random effects (direct individual effect and animal permanent environmental effect of the animal) and a number of fixed effects (colour variant, stud, colour variant × stud interaction, sex, age at description, year of birth, year of description). The model was selected based on the Akaike information criterion (AIC, Akaike 1974), residual variance and heritability coefficient. The model that included colour variant, stud, colour variant × stud interaction, sex, age at description, and year of description as fixed effects and direct individual and animal permanent environment as random effects was the most suitable model for the estimation of genetic parameters and for the subsequent estimation of breeding values.

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Estimation of Genetic Parameters for Body Weight and Some Colour Traits in the Seventh-generation Index Selected Nigeria Heavy Local Chicken Ecotype

Agricultural Science Digest - A Research Journal ◽

10.18805/ag.d-359 ◽

2021 ◽

Author(s):

I.J. Ohagenyi ◽

F.C. Iregbu ◽

V.C. Udeh

Keyword(s):

Body Weight ◽

Genetic Parameters ◽

Genetic Correlations ◽

The Body ◽

Pedigree Selection ◽

Egg Colour ◽

Local Chicken ◽

Range Test ◽

Estimation Of Genetic Parameters ◽

Selection Of

Background: This study was conducted to estimate the genetic parameters of body weight and some colour traits in seventh generation (G7) index selected Nigerian Heavy Local Chicken Ecotype (NHLCE) progenies at point of lay to 12 weeks. Methods: 5 sires and 12 hens were used to generate the progenies used for the experiment. Traits measured included weekly body weight, egg colour, beak colour and feather colour. Data collected were subjected to one way analysis of variance in a Paternal half sib analysis using Animal model of SAS (2003). Four weeks body weight measurements, egg colour, beak colour and feather colour for 5 sires ranged from 1.29±0.05 1.54±0.07; 2.55±0.02 to 4.00±0.02; 2.45±0.02 to 4.83±0.02 and 1.73±0.02 to 4.58±0.04 respectively. Result: The new Duncan’s multiple range test shows that sire families are similar (p greater than 0.05) in the body weight and beak colour, but significantly differed (p greater than 0.05) in the egg colour and feather colour. The heritability estimates of mature body weight for week 3 was medium, while estimates of heritability for weekly mature body weight for weeks 1, 2 and 4, egg colour, beak colour and feather colour of NHLCE were low heritability. Low h2 of traits suggest that progeny and pedigree selection could be employed for improvement of the egg colour, beak colour and feather colour of NHLCE. The study showed positive genetic correlations between beak colour and egg colour, negative genetic correlations between beak and feather colour. This means that no decision can be taken in isolation as the selection of one trait will have consequences on other traits.

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

Chilean journal of agricultural research ◽

10.4067/s0718-58392018000200198 ◽

2018 ◽

Vol 78 (2) ◽

pp. 198-204 ◽

Cited By ~ 1

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

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Selection of a suitable data set and model for the estimation of genetic parameters of the weaning weight in beef cattle

Archives Animal Breeding ◽

10.5194/aab-50-562-2007 ◽

2007 ◽

Vol 50 (6) ◽

pp. 562-574

Author(s):

L. Vostrý ◽

J. Přibyl ◽

Z. Veselá ◽

V. Jakubec

Keyword(s):

Beef Cattle ◽

Fixed Effects ◽

Genetic Parameters ◽

Genetic Correlations ◽

Genetic Effect ◽

Suitable Model ◽

Data Set ◽

Weaning Weight ◽

Estimation Of Genetic Parameters ◽

Selection Of

Abstract. The objective of this paper was to select a suitable data subset and statistical model for the estimation of genetic parameters for weaning weight of beef cattle in the Czech Republic. Nine subsets were tested for the selection of a suitable subset. The subsets differed from each other in the limit of sampling criteria. The most suitable subset satisfied these conditions: at least 5 individuals per each sire, 5 individuals per HYS (herd, year, season), 2 sires per HYS, and individuals per dams that have at least one half-sister and two offspring (n = 4 806). The selection of a suitable model was carried out from 10 models. These models comprised some of the random effects: direct genetic effect, maternal genetic effect, permanent maternal environment effect, HYS, sire × herd or sire × year interaction, and some of the fixed effects: dam’s age, sex (young bull, heifer × single, twin born), HYS, year, herd. The direct heritability (h2a) ranged from 0.06 to 0.17, of maternal heritability (h2m) from 0.03 to 0.06. The genetic correlations between the direct and maternal effect (ram) were in the range of –0.15 –0.42.

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SIMULTANEOUS ESTIMATION OF GENETIC PARAMETERS OF LIFETIME REPRODUCTIVE TRAITS IN MICE

Canadian Journal of Animal Science ◽

10.4141/cjas88-145 ◽

1988 ◽

Vol 68 (4) ◽

pp. 1291-1295 ◽

Cited By ~ 2

Author(s):

J. NAGAI ◽

C. Y. LIN ◽

A. J. McALLISTER

Keyword(s):

Genetic Parameters ◽

Mixed Model ◽

Reproductive Traits ◽

Bivariate Analysis ◽

Simultaneous Estimation ◽

Mixed Model Analysis ◽

Reproductive Life ◽

Genetic And Phenotypic Correlations ◽

Estimation Of Genetic Parameters ◽

Selection Of

Heritabilities and correlations between the length of reproductive life and number of parturitions during lifetime in mice were estimated from bivariate full-sib mixed-model analysis. Heritability estimates from sire components were low (0.01) for the two traits and those from dam components were slightly higher (0.06 and 0.05). Estimates of genetic and phenotypic correlations ranged from 0.89 to 0.99. It was concluded that the two traits are virtually the same trait biologically. Implication of these results for selection of lifetime production in mice and dairy cattle is discussed. Key words: Genetic parameters, reproductive trait, bivariate analysis

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Estimation of genetic parameters for in vitro oil palm characteristics ( Elaeis guineensis Jacq.) and selection of genotypes for cloning capacity and oil yield

Industrial Crops and Products ◽

10.1016/j.indcrop.2015.09.066 ◽

2015 ◽

Vol 77 ◽

pp. 1033-1038 ◽

Cited By ~ 5

Author(s):

Thais Roseli Corrêa ◽

Sérgio Yoshimitsu Motoike ◽

Sara Morra Coser ◽

Gustavo da Silveira ◽

Marcos Deon Vilela de Resende ◽

...

Keyword(s):

Oil Palm ◽

Genetic Parameters ◽

Elaeis Guineensis ◽

Oil Yield ◽

Elaeis Guineensis Jacq ◽

Estimation Of Genetic Parameters ◽

Selection Of

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Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon

Coffee Science ◽

10.25186/.v15i.1663 ◽

2020 ◽

Vol 15 ◽

pp. 1-10

Author(s):

Celso Luis Bergo ◽

Daniela Popim Miqueloni ◽

Aureny Maria Pereira Lunz ◽

Giselle Mariano Lessa de Assis

Keyword(s):

Genetic Parameters ◽

Coffea Canephora ◽

Estimation Of Genetic Parameters ◽

Selection Of

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Seleção de cultivares de cana-de-açúcar para a Zona da Mata Norte de Pernambuco II: Meio de safra

Revista Verde de Agroecologia e Desenvolvimento Sustentável ◽

10.18378/rvads.v11i1.4263 ◽

2016 ◽

Vol 11 (1) ◽

pp. 62

Author(s):

A. P. C. Albuquerque ◽

G. Q. Bastos ◽

J. A. Dutra Filho ◽

L. S. Souto ◽

A. C. Medeiros ◽

...

Keyword(s):

Genetic Parameters ◽

Soluble Solids ◽

Soluble Solids Content ◽

Forest Zone ◽

The North ◽

Commercial Cultivation ◽

Improved Cultivars ◽

Solids Content ◽

Estimation Of Genetic Parameters ◽

Selection Of

Sendo os cultivares melhorados a base de sustentação e desenvolvimento do setor sucroeneregético no Brasil, objetivou-se com este trabalho avaliar o desempenho agroindustrial de 26 cultivares de cana-de-açúcar na microrregião canavieira da Mata Norte de Pernambuco. O experimento foi conduzido na área agrícola da Usina Olho D’água, onde foi utilizado o delineamento experimental em blocos casualizados com quatro repetições. As variáveis analisadas foram: toneladas de pol por hectare, toneladas de cana por hectare, fibra, pol % corrigida, pureza, teor de sólidos solúveis e açúcar total recuperável. Realizou-se a análise de variância conjunta dos experimentos e estimativa de parâmetros genéticos, as médias foram agrupadas pelo teste de Scott e Knott ao nível de 5% de probabilidade. Realizou-se ainda a rentabilidade econômica bruta de cada cultivar. Constatou-se que a seleção de cultivares superiores deve ser baseada nas variáveis TPH e TCH. Como opções de cultivo comercial para a segunda época de colheita destacam-se como mais produtivas, RB93509, SP81-3250 e RB75126.Selection of sugarcane cultivars to the North Forest Zone of Pernambuco II: crop MediumAbstract: Improved cultivars are support base and development of energétic and alcohol sector in Brazil, aimed with this work was to evaluate the agroindustrial performance of 26 sugarcane cultivars in the microrregion da Mata Norte of Pernambuco. The experiment was conducted in the agricultural area of the sugarmill Olho d'gua, which was used a randomized block with four replications. The variables analyzed were tons of pol per hectare, sugarcane tons per hectare, fiber, corrected pol%, purity, soluble solids content and total recoverable sugar. Were conducted the variance analysis and estimation of genetic parameters, the averages were grouped by the Scott and Knott test at 5% probability. It was held still gross economic profitability of each cultivar. The selection of superior cultivars should be based on TPH and TCH variables. As commercial cultivation options for the second harvest season stand out as more productive, RB93509, SP81-3250 e RB75126.

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Seleção de cultivares de cana-de-açúcar para a Zona da Mata Norte de Pernambuco I: Início de safra

Revista Verde de Agroecologia e Desenvolvimento Sustentável ◽

10.18378/rvads.v11i1.4265 ◽

2016 ◽

Vol 11 (1) ◽

pp. 57

Author(s):

A. P. C. Albuquerque ◽

G. Q. Bastos ◽

J. A. Dutra Filho ◽

L. S. Souto ◽

P. B. Maracajá ◽

...

Keyword(s):

Genetic Parameters ◽

Soluble Solids ◽

Soluble Solids Content ◽

Forest Zone ◽

The North ◽

Commercial Cultivation ◽

Improved Cultivars ◽

Solids Content ◽

Estimation Of Genetic Parameters ◽

Selection Of

Sendo os cultivares melhorados a base de sustentação e desenvolvimento do setor sucroeneregético no Brasil, objetivou-se com este trabalho avaliar o desempenho agroindustrial de 26 cultivares de cana-de-açúcar na microrregião canavieira da Mata Norte de Pernambuco. O experimento foi conduzido na área agrícola da Usina Olho D’água, onde foi utilizado o delineamento experimental em blocos casualizados com quatro repetições. As variáveis analisadas foram: toneladas de pol por hectare, toneladas de cana por hectare, fibra, pol % corrigida, pureza, teor de sólidos solúveis e açúcar total recuperável. Realizou-se a análise de variância conjunta dos experimentos e estimativa de parâmetros genéticos, as médias foram agrupadas pelo teste de Scott e Knott ao nível de 5% de probabilidade. Realizou-se ainda a rentabilidade econômica bruta de cada cultivar. Constatou-se que a seleção de cultivares superiores deve ser baseada nas variáveis TPH e TCH. Como opções de cultivo comercial para a primeira época de colheita destacam-se como mais produtivos, RB92579, RB867515, e RB942991.Selection of sugarcane cultivars to the North Forest Zone of Pernambuco I: Home cropAbstract: Improved cultivars are support base and development of energétic and alcohol sector in Brazil, aimed with this work was to evaluate the agroindustrial performance of 26 sugarcane cultivars in the microrregion da Mata Norte of Pernambuco. The experiment was conducted in the agricultural area of the sugarmill Olho d'gua, which was used a randomized block with four replications. The variables analyzed were tons of pol per hectare, sugarcane tons per hectare, fiber, corrected pol%, purity, soluble solids content and total recoverable sugar. Were conducted the variance analysis and estimation of genetic parameters, the averages were grouped by the Scott and Knott test at 5% probability. It was held still gross economic profitability of each cultivar. The selection of superior cultivars should be based on TPH and TCH variables. As commercial cultivation options for the first harvest season stand out as more productive, RB92579, RB867515 and RB942991.

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Prediction of genotypic values and estimation of genetic parameters in common bean

Brazilian Archives of Biology and Technology ◽

10.1590/s1516-89132008000300005 ◽

2008 ◽

Vol 51 (3) ◽

pp. 465-472 ◽

Cited By ~ 12

Author(s):

Alisson Fernando Chiorato ◽

Sérgio Augusto Morais Carbonell ◽

Luiz Antônio dos Santos Dias ◽

Marcos Deon Vilela de Resende

Keyword(s):

Common Bean ◽

Genetic Parameters ◽

High Accuracy ◽

Best Linear Unbiased Prediction ◽

Broad Sense Heritability ◽

Phaseolus Vulgaris L ◽

Linear Unbiased Prediction ◽

Best Linear Unbiased ◽

Estimation Of Genetic Parameters ◽

Selection Of

Eighteen common bean (Phaseolus vulgaris L.) genotypes were evaluated in 25 environments of the state of São Paulo in 2001 and 2002. The estimation of genetic parameters by the Restricted Maximum Likelihood (REML) and the prediction of genotypic values via Best Linear Unbiased Prediction (BLUP) were obtained by software Selegen-REML/BLUP. The estimate of the broad-sense heritability was low for the grain yield (0.03), since it took individual plots into consideration and was free of the effects of interaction with years, cultivation periods and site. Nevertheless, the heritability at the level of line means across the various environments was high (0.75), allowing a high accuracy (0.87) in the selection of lines for planting in the environment mean. Among the 18 genotypes, the predicted genotypic values of nine were higher than the general mean. The genetic gain predicted with the selection of the best line, in this case line Gen 96A31 of the IAC, was 16.25%.

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