Genetic characterization of egg weight, egg production and age at first egg in quails

Hidalgo, A.M.; Martins, Elias Nunes; Santos, Alexandre Leseur dos; Quadros, Thays Cristina Oliveira de; Ton, Ana Paula Silva; Teixeira, R. de A.

doi:10.1590/s1516-35982011000100013

Cited by 11 publications

(12 citation statements)

References 2 publications

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“…In our study, the first set of variates was largely influenced by AFE over the other traits analyzed. This result agrees with recent studies; to increase egg production in laying quails, a first step should be to select for early AFE and/or high egg production in early stages of laying (Hidalgo et al, 2011;Ribeiro et al, 2012). These results may be biased by the short period of egg production recording (180 days max), which may lead to support the idea that precocious quails are more productive, no matter how long the laying period is.…”

Section: Canonical-correlation Analysissupporting

confidence: 90%

“…Over the years, genetic evaluations in dual-purpose quails (Coturnix coturnix) have demonstrated that genetic gains over all traits in a breeding program are achieved not only based on a specific trait, but on several economic traits, such as age at first egg, body weight, egg mass and egg production (Hidalgo et al, 2011;Ribeiro et al, 2012;Silva et al, 2013). The optimal combination of these several traits is needed to obtain the highest possible genetic gains for all traits selected.…”

Section: Introductionmentioning

confidence: 99%

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Canonical-correlation analysis applied to selection-index methodology in quails

et al. 2014

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a b s t r a c tGenetic evaluations in dual-purpose quails (Coturnix coturnix) have demonstrated that overall genetic gains in a breeding program are achieved not only based on a specific trait, but on several. The most common technique to use all this information is the selection index. Another alternative may be the canonical-correlation analysis applied to selection index. There is, however, a lack of studies using canonical correlation in quails. Hence, the objectives of this study were to apply canonical-correlation analysis to estimate the relationship of nine traits and to compare genetic gains obtained by this methodology to desired-gain selection index in three lines of quails. Data for three lines of layer quails consisted of body weight at 28 days (W28), egg weight (EW), age at first egg (AFE) and egg production at 30, 60, 90, 120, 150 and 180 days after onset of lay. Two sets of traits were established: the first one contained predictor variables (W28, EW and AFE) and the second one contained variables related to egg production. A selection index was constructed using the standardized coefficients of canonical covariates as weighting factors when a given canonical correlation was significant. We constructed two desired-gain selection indices: DG-SI1 and DG-SI2. The difference between them is that DG-SI2 had a desired gain for body weight set to 0. The estimated canonical correlations were as follows: 0.811, 0.058 and 0.003 for the yellow, 0.821, 0.181 and 0.076 for the red, and 0.825, 0.117 and 0.038 for the blue line. Only the first pair of canonical variates was significant (P o 0.05). AFE and early stages of egg production were very influent and showed great importance in defining the canonical variates and, consequently, the estimated canonical correlations. All lines had, in general, similar results for the canonical analysis indicating that traits that drive management decisions in these lines would be the same. The indices under study showed differences in response to selection; however, they generally resulted in consistent favorable genetic gains. For all lines, the canonical selection index resulted in the lowest AFE and highest egg production at 30 days. The DG-SI1 showed the highest genetic gains for W28 in all lines. There was a general lower genetic gain of other traits for DG-SI1 .se (A. Marubayashi Hidalgo).Livestock Science 169 (2014) [35][36][37][38][39][40][41] at the expense of the desired genetic gain for W28. Selection for AFE, according to the canonical-correlation analysis, would have a great impact on the number of eggs produced. Canonical selection index is a good alternative for a desired-gain selection index.

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Section: Canonical-correlation Analysissupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Canonical-correlation analysis applied to selection-index methodology in quails

et al. 2014

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“…Heritability, genetic and phenotypic and egg 21 -1 correlations between GR production traits: Each of AGE10, BWAFE and AFE had higher h 2 of 0.25, 0.24 and 0.20, respectively than other egg productionrelated and egg production traits ranged from 0.07 to 0.19 as shown in Table 5. Similarly, several authors reported moderate h 2 ranged from 0.21 to 0.37 for AFE (Özsoy andAktan, 2011 andAbou Khadiga et al, 2016).On the other hand, Hidalgo et al (2011) reported higher h 2 estimates for AFE ranged from 0.53 to 0.75 than h 2 estimates in this study. Heritability estimates for BWAFE and AGE10 of this study were in agreement with the reports of other studies BWAFE being 0.25 and AGE10 was 0.28.…”

Section: Performance Of Fitness Traits: Generation Effect On Fitness supporting

confidence: 52%

Effects of Selection for Fast Growth Rate on Japanese Quail Laying Performance and Fitness Traits

Emam¹

2020

EPSJ

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This work aimed to study the effects of selection for fast growth rate on some laying and fitness performance in Japanese quail using 1157 females (706 for the selected line and 451 for the control line). The most important results obtained as follows: Generation significantly affected all egg studied traits indicating that the 4 th generation (G4) had the earliest age at first egg (AFE) and age at the first ten eggs (AGE10) accompanied by the heaviest body weight at first egg (BWAFE) and desirably had lower days needed to produce the first ten eggs (DN10) and laid heavier average egg weight (AEWFM) (48.98 day, 60.87 day, 260.77 g, 13.12 day and 11.88 g respectively) and had higher number of eggs (ENFM), heavier egg mass for the first month of production (EMFM), and favorably lower pause duration length (PDLFM) than other generations being of 24.53 egg, 291.32 g and 1.76 day, respectively. Moreover, the G4 had higher fertility (88.20%) and hatchability (85.42%) associated with preferably lower early and late embryonic mortality% than other generations. The selected line attained AFE at earlier age (50.63 day) with heavier BWAFE (260.59g) and lower DN10 (14.06 day) and AGE10 (64.44 day), laid more ENFM (22.63egg), higher EMFM (263.67g), earlier age after first month of production (AGEFM, 80.63 day), larger clutch size (CSFM, 5.20) and shorter PDLFM (1.89 day) and had preferably higher fertility (80.69%), hatchability (74.14%) but undesirably higher early embryonic mortality% (2.68%) than the control line. There were favorable negative correlations between growth rate during 1-21 days of age (GR1-21.) And each of AFE, DN10, AGE10, PDLFM and AGEFM and had preferably positive rg's with each of BWAFE, ENFM, EMFM, clutch number for the first month of production and CSFM, it seemed these traits can be indirectly improved through the selection for fast GR1-21.

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“…Numerous studies revealed that egg quality can be altered through selection for economic traits (Silversides and Scott, 2001). There are many detailed studies on the evaluation of genetic parameters for egg production and egg quality traits mostly for chicken layers in the literature (Saatci et al 2006;Hidalgo et al 2011). However, a paucity of information on genetic and phenotypic correlations between production performance and egg quality traits exists in Japanese quail.…”

Section: Introductionmentioning

confidence: 99%

Genetic Evaluation of Egg Production and Egg Quality Attributes in Japanese Quails through Partial Periods

Monika¹,

Rokadae²,

Narayan³

et al. 2020

IJAR

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Background: Egg production efficiency is typically measured through age and body weight at sexual maturity, egg number and egg weight during certain production periods. Increased egg weight and number of eggs are the primary purpose of the laying bird breeding programmes. Partial period analysis enhances selection process as the variations occurring throughout the bird’s productive life are identified and helps in the selection decisions. The current study aimed to study the genetic parameters such as heritability, phenotypic and genetic correlations to improve egg production performance and egg quality traits in Japanese quail reared at the Central Avian Research Institute (CARI).Methods: In present investigation, data recording was carried out from the Japanese quail population at experimental quail farm, CARI during 2019-2020. The individual mating was conducted between 180 sires and 180 dams of three varieties of Japanese quails were randomly selected from the base populations to develop first generation of experimental population. The hatched chicks were wing banded and the pedigree details recorded. For economic traits such as egg production and egg quality estimation, 40 sires and 40 dams were selected and parameters were evaluated. Result: In this present investigation, egg number from 10-16th week of age exhibited moderate to high heritable values. Egg weight was estimated moderate heritability traits. In egg quality traits, all values were moderate to high heritable values except yolk density in all the three varieties.

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Genetic characterization of egg weight, egg production and age at first egg in quails

Cited by 11 publications

References 2 publications

Canonical-correlation analysis applied to selection-index methodology in quails

Canonical-correlation analysis applied to selection-index methodology in quails

Effects of Selection for Fast Growth Rate on Japanese Quail Laying Performance and Fitness Traits

Genetic Evaluation of Egg Production and Egg Quality Attributes in Japanese Quails through Partial Periods

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