0360 Genetic parameters and trends for length of productive life and lifetime production efficiency traits in Thai Landrace and Yorkshire sows

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 174-174
Author(s):  
U. Noppibool ◽  
M. A. Elzo ◽  
S. Koonawootrittriron ◽  
T. Suwanasopee
Keyword(s):  
Production Efficiency ◽  
Genetic Parameters ◽  
Productive Life

Genetic parameters of production efficiency traits in murrah buffaloes

2018 ◽  
Vol 27 (1) ◽  
pp. 19
Author(s):  
Himanshu R. Patil ◽  
Surender S. Dhaka ◽  
Abhay S. Yadav ◽  
Chandershekhar S. Patil
Keyword(s):  
Production Efficiency ◽  
Genetic Parameters ◽  
Murrah Buffaloes

Use of productive data to predict length of productive life in Iranian Holstein cattle

2005 ◽  
Vol 2005 ◽  
pp. 126-126
Author(s):  
A. Abdolmohammadi ◽  
M. Moradi Shahrebabak ◽  
S. R. M. Ashtiani
Keyword(s):  
Milk Production ◽  
Genetic Parameters ◽  
Selection Index ◽  
Direct Selection ◽  
Holstein Cattle ◽  
Production Traits ◽  
Milk Production Traits ◽  
Direct Evaluation ◽  
Productive Life ◽  
Selection Of

Improvement of longevity by direct selection of sires based on theirs daughters’ longevity measures is impractical because of a low heritability and generation intervals prolonged by waiting until all cows complete their productive life. As an alternative to direct evaluation of sires for longevity is indirect prediction from genetically correlated production traits measures in the first lactation. The objectives this study were 1) to estimate genetic parameters of longevity and production traits 2) to examine relationships between longevity and first lactation milk production traits and 3) to determine selection index for sires’ longevity based on production traits.

scholarly journals Genetic parameters for productive life traits and reproductive efficiency traits at 6 years in Nellore cattle

2008 ◽  
Vol 7 (4) ◽  
pp. 1312-1318 ◽  
Author(s):  
J.C.C. Balieiro ◽  
J.P. Eler ◽  
J.B.S. Ferraz ◽  
E.C. Mattos ◽  
C.C. Balieiro
Keyword(s):  
Genetic Parameters ◽  
Reproductive Efficiency ◽  
Productive Life ◽  
Life Traits ◽  
Nellore Cattle

scholarly journals Genetic parameters for longevity measures in Brazilian Holstein cattle using linear and threshold models

2014 ◽  
Vol 57 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Elisandra Lurdes Kern ◽  
Jaime Araujo Cobuci ◽  
Cláudio Napolis Costa ◽  
José Braccini Neto ◽  
Gabriel Soares Campos ◽  
...  
Keyword(s):  
Variance Components ◽  
Genetic Parameters ◽  
Threshold Model ◽  
Holstein Cows ◽  
Holstein Cattle ◽  
Threshold Models ◽  
Productive Life ◽  
Selection For ◽  
Estimate Variance ◽  
Genetic Evaluations

Abstract. The aim in this study was to estimate variance components and heritability of different longevity measures related to productive life and survival at a specified age, using linear and threshold models, to specify the more appropriate measure to express longevity in Brazilian Holstein cows. Production and reproduction records of Holstein cows were collected from 1991 to 2010, for cows born between 1987 and 2006. Variance components were obtained by restricted maximum likelihood (REML) for measures of productive life and a Bayesian analysis for survival measures. The heritability estimates for longevity measures ranged from 0.06 to 0.09, using the linear model and from 0.05 to 0.18 for traits using the threshold model. This suggests an inexpressive genetic gain using selection for these traits, whereas improvements in environmental factors which affect these animals may lead to greater phenotypic gains. Survival up to 48 months from first calving was the measureing point defined as the most appropriate to be included in future official genetic evaluations of Holstein cattle in Brazil.

Genetic parameters of functional and fertility determined length of productive life in Swedish dairy cattle

2000 ◽  
Vol 70 (3) ◽  
pp. 383-389 ◽  
Author(s):  
E. Strandberg ◽  
A. Roxström
Keyword(s):  
Dairy Cattle ◽  
Genetic Correlation ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Fixed Time ◽  
Time Dependent ◽  
Independent Effect ◽  
Dependent Effect ◽  
Productive Life ◽  
Time Dependent Effect

AbstractThe objective of this study was to estimate genetic parameters and breeding values of sires for different definitions of length of productive life in Swedish Red and White dairy cattle. The data consisted of 534 016 daughters with initial calvings between 1988 and 1996. These cows were daughters of 1266 sires (55 of which were considered proven bulls, and treated as fixed effects). The model for the hazard included: a random time-dependent effect of herd-year-season (hys), a fixed time-dependent effect of year-season, a fixed time-dependent effect of parity by stage of lactation, a fixed time-dependent effect of the cow’s peak yield as deviation from her herdmates in that herd-year, a fixed time-independent effect of age at first calving, and random and fixed effects of sire. The hys effect was assumed to follow a gamma distribution and the random sire effect a normal distribution with mean zero and variance Aσ2s, where σ2s is the variance among sires and A the relationship matrix. Length of productive life was defined as the number of days from first calving to culling or end of data. Two types of length of productive life were studied: (1) functional productive life (PL), all cows that were culled before the end of data were considered as uncensored; (2) fertility determined productive life (FPL), only cows that were culled for fertility problems were considered as uncensored. Heritability estimates were 6·9% and 6·1% for PL and FPL, respectively. The approximated genetic correlation estimates between fertility measures in first lactation and FPL was higher than the corresponding estimates with PL. In conclusion, it was feasible to use the trait fertility-determined length of productive life, its heritability was almost as large as for PL, and the genetic correlation with fertility was higher than for PL. However, the expected selection response in fertility from indirect selection on FPL was lower than from direct selection.

Genetic evaluation of productive life in Iranian Holstein using survival analysis

2005 ◽  
Vol 2005 ◽  
pp. 131-131 ◽  
Author(s):  
M. Dadpasand Taromsari ◽  
S. R. Miraei-Ashtiani ◽  
M. Moradi Shahrebabak ◽  
R. Vaez Torshizi
Keyword(s):  
Survival Analysis ◽  
Dairy Cattle ◽  
Genetic Parameters ◽  
Linear Models ◽  
Failure Time ◽  
Genetic Evaluation ◽  
Time Analysis ◽  
Productive Life ◽  
Analysis Methodology ◽  
Time Dependent Covariates

Improvement of herd life increases profitability due to lower replacement costs of heifers, higher proportion of mature cows that produce at their maximum potential and increased opportunity for voluntary culling. Functional productive life (PL) after adjustment for production is the ability of a cow to remain healthy and delay involuntary culling (Ducrocq et al 1988). Survival or failure time analysis has replaced linear model approaches for routine genetic evaluation of dairy cattle in several countries (Sewalem et. al. 2003). It allows proper treatment of censored data, inclusion of time-dependent covariates and skewed or non normal distribution of data. Approximate estimates of the heritability of longevity traits typically range from 0.05 to 0.10 and 0.15 to 0.20 using linear models and survival analysis, respectively (Vollema et al. 2000 and Caraviello et. al. 2004). The objective of this study was to apply survival analysis methodology for assessing the most important factor influencing PL, estimation of genetic parameters of productive life and genetic evaluation in Iranian Holstein dairy cattle.

scholarly journals Genetic parameters of drinking and feeding traits of wean-to-finish pigs under a polymicrobial natural disease challenge

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jian Cheng ◽  
Austin M. Putz ◽  
John C. S. Harding ◽  
Michael K. Dyck ◽  
Frederic Fortin ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Water Intake ◽  
Production Efficiency ◽  
Genetic Parameters ◽  
Severe Disease ◽  
Genetic Correlations ◽  
Clinical Signs ◽  
Treatment Rate ◽  
Number Of Visits ◽  
Indicator Traits

Abstract Background The pork industry faces unprecedented challenges from disease, which increases cost of production and use of antibiotics, and reduces production efficiency, carcass quality, and animal wellbeing. One solution is to improve the overall resilience of pigs to a broad array of common diseases through genetic selection. Behavioral changes in feeding and drinking are usually the very first clinical signs when animals are exposed to stressors such as disease. Changes in feeding and drinking behaviors in diseased pigs may reflect the way they cope with the challenge and, thus, could be used as indicator traits to select for disease resilience. The objectives of this study were to estimate genetic parameters of feeding and drinking traits for wean-to-finish pigs in a natural polymicrobial disease challenge model, to estimate genetic correlations of feeding and drinking traits with growth rate and clinical disease traits, and to develop indicator traits to select for disease resilience. Results In general, drinking traits had moderate to high estimates of heritability, especially average daily water dispensed, duration, and number of visits (0.44 to 0.58). Similar estimates were observed for corresponding feeding traits (0.35 to 0.51). Most genetic correlation estimates among drinking traits were moderate to high (0.30 to 0.92) and higher than among feeding traits (0 to 0.11). Compared to other drinking traits, water intake duration and number of visits had relatively stronger negative genetic correlation estimates with treatment rate and mortality, especially across the challenge nursery and finisher (− 0.39 and − 0.45 for treatment rate; − 0.20 and − 0.19 for mortality). Conclusion Most of the recorded drinking and feeding traits under a severe disease challenge had moderate to high estimates of heritability, especially for feed or water intake duration and number of visits. Phenotypic and genetic correlations among the recorded feeding traits under disease were generally low but drinking traits showed high correlations with each other. Water intake duration and number of visits are potential indicator traits to select for disease resilience because of their high heritability and had moderate genetic correlations with treatment and mortality rates under severe disease.

scholarly journals Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Animals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 679 ◽  
Author(s):  
María Gabriela Pizarro Inostroza ◽  
Vincenzo Landi ◽  
Francisco Javier Navas González ◽  
Jose Manuel León Jurado ◽  
Amparo Martínez Martínez ◽  
...  
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Dry Matter ◽  
Production Efficiency ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Increase Production Efficiency ◽  
Breeding Programs ◽  
Breeding Values ◽  
Males And Females

A total of 2090 lactation records for 710 Murciano-Granadina goats were collected during the years 2005–2016 and analyzed to investigate the influence of the αS1-CN genotype on milk yield and components (protein, fat, and dry matter). Goats were genetically evaluated, including and excluding the αS1-CN genotype, in order to assess its repercussion on the efficiency of breeding models. Despite no significant differences being found for milk yield, fat and dry matter heritabilities, protein production heritability considerably increased after aS1-CN genotype was included in the breeding model (+0.23). Standard errors suggest that the consideration of genotype may improve the model’s efficiency, translating into more accurate genetic parameters and breeding values (PBV). Genetic correlations ranged from −0.15 to −0.01 between protein/dry matter and milk yield/protein and fat content, while phenotypic correlations were −0.02 for milk/protein and −0.01 for milk/fat or protein content. For males, the broadest range for reliability (RAP) (0.45–0.71) was similar to that of females (0.37–0.86) when the genotype was included. PBV ranges broadened while the maximum remained similar (0.61–0.77) for males and females (0.62–0.81) when the genotype was excluded, respectively. Including the αS1-CN genotype can increase production efficiency, milk profitability, milk yield, fat, protein and dry matter contents in Murciano-Granadina dairy breeding programs.

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