scholarly journals Costs and Risks for Sire Selection Strategies in Artificial Insemination

1981 ◽  
Vol 64 (3) ◽  
pp. 491-496 ◽  
Author(s):  
M. Schneeberger ◽  
A.E. Freeman ◽  
P.J. Berger
Keyword(s):  
Artificial Insemination ◽  
Selection Strategies ◽  
Sire Selection

An overview of swine artificial insemination: Retrospective, current and prospective aspects

2013 ◽  
Vol 1 (1) ◽  
pp. 67 ◽  
Author(s):  
Soriano-Úbeda C. ◽  
Matás C. ◽  
García-Vázquez FA
Keyword(s):  
Artificial Insemination ◽  
Reproductive Tract ◽  
Reproductive Technologies ◽  
Female Reproductive Tract ◽  
Sperm Selection ◽  
Sperm Transport ◽  
Pig Production ◽  
Selection Strategies ◽  
Future Challenges ◽  
Near Future

Assistant reproduction technologies are in constant evolution, among them the artificial insemination (AI). AI has been successfully used in pigs for decades, especially to improve boar efficienc and productivity. Lately, swine AI has taken on a new lease of life since efficient AI is essential for solving future challenges in the porcine industry and to enhance productivity. The present paper summarizes several factors concerning AI, starting with an overview of some physiological aspects including the female reproductive tract and sperm transport, as well as sperm losses during insemination and uterus sperm selection. Strategies developed to reduce the number of sperm during the AI process, are also reviewed, along with their combination with new reproductive technologies for application in pig production in the near future.

Effect of bull sire selection strategies on competitiveness of dairy AI studs

1992 ◽  
Vol 32 (4) ◽  
pp. 295-307
Author(s):  
J.N.M. Koopman ◽  
C. Smith ◽  
J.C.M. Dekkers
Keyword(s):  
Selection Strategies ◽  
Sire Selection

USE OF LATER RECORDS IN DAIRY SIRE EVALUATION

1978 ◽  
Vol 58 (4) ◽  
pp. 615-620 ◽  
Author(s):  
H. H. NICHOLSON ◽  
L. R. SCHAEFFER ◽  
E. B. BURNSIDE ◽  
M. G. FREEMAN
Keyword(s):  
Artificial Insemination ◽  
Selection Intensity ◽  
Evaluation Procedures ◽  
Sire Evaluation ◽  
Percentage Survival ◽  
Highly Correlated ◽  
Dairy Sire ◽  
Sire Selection

First, second, and third lactation Ontario Record of Performance (ROP) 305-day milk records were analyzed separately to evaluate 246 Holstein sires. Second and third lactation records were analyzed with and without adjustment for realized selection intensity of each bull’s daughters on the basis of first lactation yield. The magnitude of adjustments for selection was small, but adjusted records gave sire proofs for second and third lactations that had a variance similar to proofs based on first lactation records. Proofs using adjusted records were more highly correlated with first lactation proofs and with percentage survival figures. One bull out of six significantly reranked on the basis of second or third lactation proofs compared to first lactation proofs. There possibly exists a sire by age of daughter interaction, but the size of the interchange does not warrant an immediate change in sire evaluation procedures or artificial insemination organization sire selection programs.

The effects of continuous sire selection on the structure and age composition of dairy cattle populations

1972 ◽  
Vol 15 (2) ◽  
pp. 103-110 ◽  
Author(s):  
C. J. M. Hinks
Keyword(s):  
Numerical Model ◽  
Dairy Cattle ◽  
Artificial Insemination ◽  
Progeny Test ◽  
Age Composition ◽  
Male And Female ◽  
Time Period ◽  
Breeding Programmes ◽  
Planning Problems ◽  
Sire Selection

SUMMARYA numerical model of male and female replacement processes is developed and used to construct a matrix which specifies the numbers of lactations of different parities expressed in a given time period by daughters of bulls used in artificial insemination (AI).Populations resulting from newly established AI breeding programmes contain an unduly high proportion of offspring by young bulls. Subsequently an equilibrium is reached in which offspring of young and tested bulls are present in proportions determined by the relative usage of the two types of sire and by differences in replacement rates amongst their progeny. Once an equilibrium has been reached the numbers of progeny sired by bulls lacking a progeny test proof is extremely small.The use of the technique to solve a number of specific planning problems is demonstrated.

Feature Selection Strategies and Perceptual Expertise in Configuration Search Tasks

2011 ◽  
Author(s):  
Lindsey M. Kitchell ◽  
Francisco J. Parada ◽  
Brandi L. Emerick ◽  
Tom A. Busey
Keyword(s):  
Feature Selection ◽  
Perceptual Expertise ◽  
Search Tasks ◽  
Selection Strategies

ПРЕРЫВИСТОЕ ОСВЕЩЕНИЕ ПОВЫШАЕТ ЭФФЕКТИВНОСТЬ ИСКУССТВЕННОГО ОСЕМЕНЕНИЯ КУР В КЛЕТКАХ

2019 ◽  
Keyword(s):  
Reproductive Performance ◽  
Artificial Insemination ◽  
Egg Production ◽  
Laying Hens ◽  
Electric Energy ◽  
Productive Performance ◽  
Feed Conversion ◽  
Scientific Center ◽  
Academy Of Sciences ◽  
Egg Fertility

Intermittent Lighting Improves the Efficiency of Artificial Insemination in Cage Housed Laying Hens Kavtarashvili A.Sh., Kolokolnikova T.N. Federal Scientific Center “All-Russian Research and Technological Poultry Institute” of Russian Academy of Sciences Omsk Agrarian Scientific Center Summary: The effects of different lighting regimes on the oviposition schedule, productive performance, and reproductive efficiency in cage housed laying hens of layer parental flock (Hisex White-R) were studied; the reasonable regime of artificial insemination (AI) under intermittent lighting is proposed. It was found that intermittent lighting regime 1L:4D:4L:1D:4L:10D compared to the constant lighting significantly alters oviposition schedule: under this regime 82.3% of all daily eggs were laid until 9 am (vs. 66.6% in control). This regime and AI at 10 am improved the productive and reproductive performance compared to control (constant lighting 16L:8D and AI at 12 am): mortality by 1.9%, egg production per initial hen by 3.8%, egg weight by 1.1%, percentage of eggs suitable for incubation by 1.9%, egg fertility by 0.9%, hatchability by 2.3%, hatch of chicks by 2.9%, feed conversion ratio (kg of feed per 10 eggs) by 5.3%, the expenses of electric energy for lighting (per 1000 eggs suitable for incubation) by 54.5%. Key words: INTERMITTENT LIGHTING, CAGE HOUSED LAYERS, ARTIFICIAL INSEMINATION (AI), OVIPOSITION SCHEDULE, AI TIMING, PRODUCTIVE PERFORMANCE, REPRODUCTIVE PERFORMANCE

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