Divergent selection for shape of growth curve in Japanese quail. 1. Responses in growth parameters and food conversion

Hyánková, L.; Knízetová, H; Dedkova, L.; Hort, J.

doi:10.1080/00071660120088371

Cited by 46 publications

(49 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In that case, the possibility to change the shape of the growth curve while keeping mature weight constant was assumed. This approach is in accordance with the finding of Hyá nková et al (2001), as mentioned before.…”

Section: Definition Of Traits Characterising the Growth Potential Of supporting

confidence: 91%

“…Current long-term selection experiments with the Japanese quail have shown that it is possible to change the shape of the growth curve, keeping mature weight (asymptotic weight) nearly constant (Hyá nková et al, 2001). However, according to these authors, mature weight must be a selection criterion next to growth rate to achieve this result.…”

Section: Definition Of Traits Characterising the Growth Potential Of mentioning

confidence: 99%

See 1 more Smart Citation

Strategies for defining traits when calculating economic values for livestock breeding: a review

Wolfová

Wolf

2013

Animal

View full text Add to dashboard Cite

The objective of the present review was (i) to survey different approaches for choosing the complex of traits for which economic values (EVs) are calculated, (ii) to call attention to the proper definition of traits and (iii) to discuss the manner and extent to which relationships among traits have been considered in the calculation of EVs. For this purpose, papers dealing with the estimation of EVs of traits in livestock were reviewed. The most important reasons for incompatibility of EVs for similar traits estimated in different countries and by different authors were found to be inconsistencies in trait definitions and in assumptions being made about relationships among traits. An important problem identified was how to choose the most appropriate criterion to characterise production or functional ability for a particular class of animals. Accordingly, the review covered the following three topics: (i) which trait(s) would best characterise the growth ability of an animal; (ii) how to define traits expressed repeatedly in subsequent reproductive cycles of breeding females and (iii) how to deal with traits that differ in average value between sexes or among animal groups. Various approaches that have been used to solve these problems were discussed. Furthermore, the manner in which diverse authors chose one or more traits from a group of alternatives for describing a specific biological potential were reviewed and commented on. The consequences of including or excluding relationships among economically important traits when estimating the EV for a specific trait were also examined. An important conclusion of the review is that, for a better comparability and interpretability of estimated EVs in the literature, it is desirable that clear and unique definitions of the traits, complete information on assumptions used in analytical models and details on interrelationships between traits are documented. Furthermore, the method and the model used for the genetic evaluation of specific traits in a certain breeding organisation are important for the exact definition of traits, for which the economic values will be calculated, and for the inclusion or exclusion of relationships among traits in the calculation of the EVs in livestock breeding. Keywords: livestock, economic values, definition of traits, relationships among traits ImplicationsA literature review was conducted on different ways of defining traits and considering relationships among them in the calculation of economic values (EVs) in livestock breeding. Diversity among trait definitions makes it difficult to compare EVs from different investigations and individual authors. It was shown that, for the EV of a trait to be correctly interpreted, it is necessary to know exactly how the trait was defined, how its relationships with other traits were accounted for and what assumptions were made in the model for the calculation of EVs. IntroductionHazel (1943) proposed the breeding objective or aggregate genotype of an animal to be defined as 'the sum of its sever...

show abstract

Section: Definition Of Traits Characterising the Growth Potential Of supporting

confidence: 91%

Section: Definition Of Traits Characterising the Growth Potential Of mentioning

confidence: 99%

Strategies for defining traits when calculating economic values for livestock breeding: a review

Wolfová

Wolf

2013

Animal

View full text Add to dashboard Cite

show abstract

“…When the Richards model was used to describe the growth curve, the W i /W f ratio is preferred to m parameter to compare the shape of the growth curve of different sex or lines (Hyankova et al, 1997(Hyankova et al, , 2001). Logistic and Gompertz functions have a fixed point of inflection at about 50 and 37% of the asymptote, respectively (Aggrey, 2002).…”

Section: Resultsmentioning

confidence: 99%

Comparison of three non-linear models for describing Japanese quail growth curve

Sezer¹,

Tarhan²

2005

J. Anim. Feed Sci.

View full text Add to dashboard Cite

This study has focused on the comparison of Richards, Gompertz and Logistic growth models (functions) for describing the growth characteristics of three meat-type lines of Japanese quail. The live body weight data of wild-type, doted-white and extended-brown quail lines over time were collected and fitted to the three non-linear equations. The prediction performance of the models was evaluated by statistical error tests: mean percentage error (MPE), mean bias error (MBE), root mean square error (RMSE), and confidence interval test (CIT) using the data of three out bred lines of Japanese quails (dotted white, extended brown and wild in plumage colour). The prediction performance of the growth functions for the quail growth curves depends on the line and sex of quails as shown by the results of statistical error tests. In general, Richards function predicted the weight of quails better than other two growth functions. Commonly used statistical error tests (MPE, MBE and RMSE) may not reflect the prediction performance of growth models as accurately as confidence interval test. Confidence interval tests generated likeness percentage values between 82.35 and 100% for Richards growth function.

show abstract

“…Statistical analysis can also identify relations between growth curve parameters and important production and reproduction traits (e.g. de Torre et al, 1992;Menchaca et al, 1996;Hyánková et al, 2001). Frequently used are also allometric models (e.g.…”

mentioning

confidence: 99%

Multiphasic growth models for cattle

Nesetrilova¹

2005

CZECH J ANIM SCI

View full text Add to dashboard Cite

There are several ways of generalizing classical growth models to describe the complex nature of animal growth. One possibility is to construct a model based on a sum of several classical growth functions. In this paper, such multiphasic growth models for breeding bulls of the Czech Pied cattle based on the sum of two logistic functions are studied. The logistic function was chosen as a base for the models due to the relatively low degree of nonlinearity for the growth data. The paper describes three steps of constructing such a multiphasic growth model: in the first step a model with four unknown parameters is considered, in the second step the number of model parameters which are to be estimated is increased to five and in the third step a general model with six parameters is used. In each step, statistical properties of the considered model are checked. The residual variability of the best fitting model is on average approx. 8 times lower than the residual variability of classical Gompertz model which is often used by breeders to model cattle growth.

show abstract

Divergent selection for shape of growth curve in Japanese quail. 1. Responses in growth parameters and food conversion

Cited by 46 publications

References 18 publications

Strategies for defining traits when calculating economic values for livestock breeding: a review

Strategies for defining traits when calculating economic values for livestock breeding: a review

Comparison of three non-linear models for describing Japanese quail growth curve

Multiphasic growth models for cattle

Contact Info

Product

Resources

About