The Efficiency of Three Methods of Selection*

Hazel, L. N.; Lush, Jay L.

doi:10.1093/oxfordjournals.jhered.a105102

Cited by 418 publications

(315 citation statements)

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“…These situations could have been anticipated. In this study, a methodology based on the selection index theory by Hazel and Lush (1943) has been developed for the first time to standardize the weights to be used as economic weights in the index, and to study relative genetic responses starting from genetic parameters such as heritabilities and genetic and phenotypic correlations. Inverse transformations have also been developed for better use of relative weights, showing the consequences of applying relative weights on the performances instead of breeding values.…”

Section: Proportional Expected Genetic Responsesmentioning

confidence: 99%

Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme

Gutiérrez

Cervantes

Pérez-Cabal

et al. 2014

Animal

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Nowadays, the fibre diameter (FD) is considered the main selection objective in alpaca populations all over the world. International Committee for Animal Recording recommendations define the FD and its CV as the first two traits to be considered in breeding programmes for this specie. In addition to these main criteria, other selection criteria of economic value used are comfort factor (CF) or standard deviation (s.d.); also other less important traits being used as selection objectives are these morphological traits: density (DE), crimp (CR) or lock structure (LS) for, respectively, Huacaya (HU) and Suri (SU) ecotypes, head (HE), coverage (CO) and balance (BA). The goal of this study was to establish how to implement a combined selection index starting from genetic parameters and to study the expected correlation between genetic trends by considering different alternative procedures of weighting all the involved traits, and the consequences of a wrongly proceeding way. Heritabilities and genetic and phenotypic correlations were estimated from the data set belonging to the PACOMARCA experimental farm for SU and HU. Two approaches were used to check the consequences of a set of subjective weights essayed. The coefficients of selection indexes were obtained for two sets of reference weights. In addition, equivalent weights were drawn if applied those reference values as coefficients of hypothetical selection indexes directly on phenotypes; relative expected genetic responses were computed in different cases. Results showed that almost in all cases for both ecotypes, the weight applied to CF should be surprisingly negative. Concerning genetic responses, only CO was compromised in some cases for the HU ecotype. The essayed methodology allowed explaining the differences between ecotypes in the genetic trends. The proposed methodology was shown to be effective to study the relative importance of the traits granted by the manager of a breeding scheme.

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Section: Proportional Expected Genetic Responsesmentioning

confidence: 99%

Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme

Gutiérrez

Cervantes

Pérez-Cabal

et al. 2014

Animal

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“…1) (10) showed that the expected genetic gain for ataTt when included in an index is l/t/n, compared with direct selection for one of the traits, with the assumption that the traits are uncorrelated and of equal importance. In the present study, the traits were given equal importance, but they were found to be significantly correlated.…”

Section: Heritabilities and Correlationsmentioning

confidence: 99%

Effect of Selection on Feed Utilization and Carcass Score en Swine

Bernard¹,

Fahmy²

1970

Can. J. Anim. Sci.

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“…Smith (1936) and Hazel and Lush (1942) suggested the use of selection index where information will be collected for several characters on the evaluated families in order to select the best families.…”

Section: Introductionmentioning

confidence: 99%

Increasing the Efficiency of Recurrent Selection for Yield in Maize

2017

Alexandria Science Exchange Journal: An International Quarterly

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The objectives of the present study were to increase the efficiency of recurrent selection within the "Composite-21" variety of maize using selection index to increase the precession of the evaluation of S 1 -families. Ninety S 1 families were evaluated in six sets, each set included 15 S 1 families replicated three times. Data were collected for yield, yield components characters and agronomic characters to carry out six selection methods. One method is based on ear yield alone and the other five methods were based on selection index. Estimation of environmental (σ 2 e ), phenotypic (σ 2 ph ) and genotypic (σ 2 g ) variances and broadscense heritability (H %) were calculated for each trait to predict the genetic gain from different selection methods. Phenotypic and genetic correlations among traits were calculated to examine the possibility of indirect selection for yield using some characters which are highly correlated with yield. Heritability estimates were intermediate (41-55%) for ear yield, 100-kernel weight and kernel depth and more than 70% for number of rows/ ear, plant and ear heights. The genetic correlations for yield with the other characters were in general intermediate.Based upon the expected advance from selection, the expected gain which is coming from the indices ranged between (5.58-19.13%) comparing with the expected gain which is coming from yield alone (16.43%). So, the use of indices was slightly superior to selection based on yield alone. The actual improvement in yield is 9% for selection based on yield alone, 8% for selection index based on yield and all characters, 3% for the index based on yield and ear characters and 1% for the index based on yield and vigor characters. The predicted advance from selection was higher than the actual advance.

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The Efficiency of Three Methods of Selection*

Cited by 418 publications

References 0 publications

Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme

Weighting fibre and morphological traits in a genetic index for an alpaca breeding programme

Effect of Selection on Feed Utilization and Carcass Score en Swine

Increasing the Efficiency of Recurrent Selection for Yield in Maize

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