Genetic improvement of Capsicum frutescens: hybrid vigor for anthracnosis resistance and production traits

Euphytica ◽  
2021 ◽  
Vol 217 (4) ◽  
Author(s):  
Ana Flávia Silva Amorim ◽  
Thiago Alexandre Santana Gilio ◽  
Janaina Barros de Jesus ◽  
Luiz Henrique Amorim de Souza ◽  
Isabela Vera dos Anjos ◽  
...  
Keyword(s):  
Genetic Improvement ◽  
Hybrid Vigor ◽  
Capsicum Frutescens ◽  
Production Traits

The effect of linkage disequilibrium on the estimates of Single Nucleotide Polymorphic effects

2009 ◽  
Vol 2009 ◽  
pp. 44-44
Author(s):  
K Moore ◽  
J Gibson ◽  
D Johnston
Keyword(s):  
Linkage Disequilibrium ◽  
Single Nucleotide Polymorphisms ◽  
Genetic Improvement ◽  
Dairy Herd ◽  
Physical Distance ◽  
Causative Mutation ◽  
Nucleotide Polymorphisms ◽  
Production Traits ◽  
Single Nucleotide Polymorphic ◽  
Single Nucleotide

The identification and exploitation of single nucleotide polymorphisms (SNP) associated with production traits present new opportunities for livestock genetic improvement. Often the identified SNP is not the causative mutation but rather is in some degree of linkage disequilibrium (LD). LD markers within 5cM can be considered as direct markers for the causative mutation because they are located close to the causative mutation (Dekkers, 2004). In a dairy herd, Farnir et al., (2000) estimated that the average LD, measured as D′ was 0.5 for loci pairs positioned within 5cM. Goddard et al., (2006) estimated that LD measured as r2 decreased rapidly as the physical distance between loci increased; at a separating distance of 0.5Mb the LD (r2) was only approximately 0.2. The aim of this work was to use stochastic simulation to investigate the effect that the distance between the SNP and causative mutation had on the accuracy of estimating additive and dominance effects of the causative mutation.

Conservation and management of genetic diversity: a domestic animal perspective

2001 ◽  
Vol 31 (4) ◽  
pp. 588-595 ◽  
Author(s):  
J SF Barker
Keyword(s):  
Genetic Diversity ◽  
At Risk ◽  
Genetic Improvement ◽  
High Stress ◽  
Domestic Animal ◽  
Production Traits ◽  
Animal Diversity ◽  
Gene Complexes ◽  
Improvement Programs ◽  
Primary Focus

In the context of domestic animal diversity, the term "breed" is conventionally used for all recognized populations. There are in total about 5000 breeds, a small proportion of which are in planned programs for genetic improvement, while about 30% are at risk of extinction. The primary focus is on the conservation of breeds, including management for better utilization (breeding programs) and conserving those at risk, with the aim of minimizing the loss of among breed diversity. The majority of the world's breeds are in the developing countries, with production environments that are low to medium input and high stress, and each may be expected to have adapted to its specific environment. Empirical evidence strongly supports the expectation that the genetic basis of population differentiation for fitness traits will be nonadditive, with different adaptive gene complexes evolved in each breed. Genetic improvement programs therefore should start with an adapted population, with selection then for production traits. As not all breeds can be conserved, priorities must be determined. Suggested criteria (breed divergence, risk of breed extinction, breed "merit," and within-breed variation) are presented and evaluated. Similar approaches may be appropriate for the conservation of genetic diversity of forest trees.

Optimum selection indexes for production traits of holstein/friesian cattle in britain

1989 ◽  
Vol 1989 ◽  
pp. 17-17
Author(s):  
J.P. Gibson
Keyword(s):  
Genetic Improvement ◽  
Selection Index ◽  
Linear Functions ◽  
Production Traits ◽  
Economic Optimization ◽  
Genetic Progress ◽  
Index Approach ◽  
Production Environments ◽  
Non Linear ◽  
Production Economic

The goal of livestock genetic improvement is maximun increase in the economic efficiency of production (economic merit). When several traits contribute to economic merit, optimum genetic improvement can often be achieved by use of a discriminant function of available information (known as a selection index) which maximises expected genetic progress in the aggregate genotype, economic merit. This approach assumes that economic merit is a linear function of genetically controlled outputs. Although this may not always be true, since genetic responses are usually relatively small (0.005 to 0.020 of the mean per year) any non-linear effects are second-order and can generally be ignored. Economic optimization procedures which match production environments to genotypes would generate effectively non-linear functions, such non-linearity will generally be small. Thus the selection index approach can be applied, provided that functions describing economic merit are based on previously optimized production environments.

Estimation of sire with feeding regime interaction in pigs

1987 ◽  
Vol 1987 ◽  
pp. 20-20
Author(s):  
N.D. Cameron ◽  
M.K. Curran
Keyword(s):  
Genetic Improvement ◽  
Environment Interaction ◽  
Restricted Feeding ◽  
Production Traits ◽  
Commercial Unit ◽  
Feeding Regime ◽  
Genotype Environment Interaction ◽  
Commercially Important ◽  
Ad Libitum ◽  
Selection Of

Genetic improvement in commercially important traits of pigs produced under commercial conditions is generally achieved through selection of parents which are performance tested under special conditions. If pigs are performance tested in one environment and progeny tested in another environment, then the same animals may not be selected on the basis of the two tests, which would result in a genotype-environment interaction. The testing station and commercial unit often have feeding regime (ad-libitum, restricted or both) confounded with environment. This study estimated the genetic correlation between ad-libitum and restricted feeding in one environment for production traits to traits to determine the contribution 6T the genotype-feeding regime interaction to the genotype-environment interaction.

Dairy genetic improvement through artificial insemination, performance recording and genetic evaluation

2003 ◽  
Vol 83 (3) ◽  
pp. 385-392 ◽  
Author(s):  
B. J. Van Doormaal ◽  
G. J. Kistemaker
Keyword(s):  
Dairy Cattle ◽  
Artificial Insemination ◽  
Genetic Improvement ◽  
Genetic Evaluation ◽  
Production Traits ◽  
Genetic Progress ◽  
Genetic Gains ◽  
Holstein Breed ◽  
The Past ◽  
Genetic Evaluations

Artificial insemination (AI) of dairy cattle in Canada was started more than half a century ago and today it is estimated that at least 75% of all dairy cattle nationally are bred using this common reproductive technology. A Best Linear Unbiased Prediction sire model for estimating genetic evaluations for production traits was introduced in 1975. The combination of extensive use of AI with genetic evaluations for bulls and cows has resulted in significant phenotypic and genetic gains over the past 20 yr. In the Holstein breed, mature equivalent yields have increased by an average of 200 kg milk, 7.0 kg fat and 6.3 kg protein per year since 1980. Genetically, the relative emphasis realized for production traits versus overall type during the past 5 yr has followed the 60:40 breeding goal represented in the Lifetime Profit Index, which has increased at an average rate of 0.28 standard units per year. Examination of the generation interval in the Canadian Holstein breed, associated with each of the four pathways for genetic improvement, indicates a 46% increase in the rate of annual genetic gain today compared to 20 yr ago. The increased accuracy and intensity of selection associated with the use of AI and genetic evaluations have also contributed to the rates of phenotypic and genetic progress achieved over the years. In the future , AI will continue to be a critical component of the genetic gains possible in dairy cattle breeding but it will be complemented by other reproductive technologies aimed at further reducing generation intervals and increasing the accuracy and selection of intensity, especially on the female side. Key words: Dairy cattle, artificial insemination, genetic progress, genetic evaluation

scholarly journals Genomic Tools and Genetic Improvement of Crossbred Friesian Cattle

2021 ◽  
Vol 8 (1) ◽  
pp. 89-107
Author(s):  
Md Anisur Rahman ◽  
Nasrin Sultana Juyena ◽  
Mohammed Shamsuddin ◽  
Mohammad Musharraf Uddin Bhuiyan
Keyword(s):  
Reproductive Performance ◽  
Genetic Improvement ◽  
Reproductive Potential ◽  
Reproductive Traits ◽  
Production Traits ◽  
Genomic Tools ◽  
The Given ◽  
Friesian Cattle ◽  
Selection Of ◽  
Friesian Cows

Any genetic improvement in dairy cattle requires information on productive and reproductive performance in the given population. Animals have been selected to improve their productivity in order to increase the profitability to the farmer. As a result, selection of animals is made for higher production and a shortened productive life. The reproductive performance of Friesian cows under intensive and semi-intensive management system in Bangladesh is poor. Animal selection has historically been based on production traits, and not much attention was given to AI recording. Many attempts were taken scatterly to increase productive and reproductive potential of Bangladeshi cattle for different periods with variable achievements. Therefore, in this review article we have addressed the new tools and information that could be used to determine the level of productive and reproductive performance and to evaluate genetic factors using admixture analysis of cows bred by AI sires which affect reproductive traits of crossbred Friesian dairy cows reared in selected areas in Bangladesh. Res. Agric., Livest. Fish.8(1): 89-107, April 2021

scholarly journals Results of the application of the technology of genetic improvement of Simmental cattle population in Serbia

2006 ◽  
Vol 22 (1-2) ◽  
pp. 1-8 ◽  
Author(s):  
Milan Petrovic ◽  
Ljiljana Sretenovic ◽  
Vlada Pantelic ◽  
Stevica Aleksic ◽  
Branislav Miscevic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Genetic Improvement ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Cattle Population ◽  
Method Of Least Squares ◽  
General Average ◽  
Simmental Cattle ◽  
Calving Season

Results of production traits obtained from first calving cows and evaluation of the breeding value of bull sires of Simmental breed in Serbia. Data was analyzed using the method of least squares and for evaluation of bulls' breeding value mixed model of random sire effect (BLUP method). Based on obtained results it was established in statistical analysis that breeding region had highly significantly affected (P<0.01) the deviation of production traits from the general average. Considerable deviation from the general average was caused by the year and season of calving (P<0.05), and interaction of breeding region and calving season contributed to high variation in yield of milk and milk fat (P<0.01).

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