A MODEL PROGRAMME FOR THE PRESERVATION AND GENETIC IMPROVEMENT OF THE SAHIWAL BREED IN INDIA

1983 ◽  
Vol 1 ◽  
pp. 13-16
Author(s):  
R. Nagarcenkar
Keyword(s):  
Milk Production ◽  
Genetic Improvement ◽  
Progeny Testing ◽  
Female Population ◽  
Northern India ◽  
Testing Programme

SUMMARYEight institutional herds in northern India with a breedable female population of about 750 are cooperating in a progeny testing programme for improvement of milk production in the Sahiwal breed.

MODEL PROGENY TESTING PROGRAMME FOR DRAUGHT IN THE HARIANA BREED

1983 ◽  
Vol 1 ◽  
pp. 29-30
Author(s):  
R. Nagarcenkar
Keyword(s):  
Progeny Testing ◽  
Female Population ◽  
Northern India ◽  
Testing Programme

SUMMARYSix institutional herds in northern India with a breedable female population of about 900 are cooperating in a progeny testing programme for the improvement of draught ability in the Hariana breed.

Responses of multi-trait selection in open nucleus schemes for dairy cattle breeding

1993 ◽  
Vol 56 (3) ◽  
pp. 293-299 ◽  
Author(s):  
T. H. E. Meuwissen ◽  
J. A. Woolliams
Keyword(s):  
Food Intake ◽  
Genetic Correlation ◽  
Milk Production ◽  
Deterministic Model ◽  
Economic Value ◽  
Estimation Method ◽  
Breeding Value ◽  
Progeny Testing ◽  
Secondary Traits ◽  
Open Nucleus

AbstractResponses of selection for milk production and secondary traits were predicted in open nucleus schemes using a deterministic model. Secondary traits considered were: traits recorded during lactation (e.g. mastitis resistance; calving ease); traits recorded in the nucleus only (e.g. food intake); traits recorded early in life (e.g. growth rate); and traits recorded late in life (e.g. longevity). Also, genotype × environment interactions between nucleus and commercial herds and predictors of merit in juveniles were considered.Extension of the breeding goal to include an uncorrelated secondary trait, which was recorded at each lactation, had the same heritability as milk production (assumed throughout to be 0·25) and half its economic value, increased total economic gain by a factor of 0·12. This increase was only 0·04, if the heritability of the secondary trait was 0·1. The situation for traits of low heritability was not improved by progeny testing of young bulls due to the short optimized generation intervals. Gain increased only by a factor of 0·04, if the economic value was 0·25.Including a secondary trait of heritability 0·25 and a genetic correlation with yield of 0·5 in the index, only increased economic response rates by a factor of 0·04. However, when the genetic correlation was –0·5 the benefits were greater with increases of 0·09, 0·10 and 0·22 for heritabilities of 0·05, 0·10 and 0·25, respectively. Hence, including traits with low heritability but with strong negative correlations with yield, which might apply to fertility and disease resistance, increased rates of gain moderately.If an uncorrelated secondary trait was recorded in the nucleus only, e.g. food intake, and had half the economic value of milk production, total gains increased by a factor of 0·10. Hence, recording of secondary traits can be restricted to the nucleus with only minor loss of gain. The extra economic benefit was greatest from secondary traits measured early in life compared with late in life, e.g. longevity, with benefits increased by factors of 0·24 and 0·06, respectively.Open nucleus schemes are robust in the presence of genotype × environment interactions between nucleus and commercial herds, if the breeding value estimation method accounts for these interactions, juvenile indicator traits of milk production may increase rates of gain by a factor of 0·11, if the heritability of the indicator trait is 0·25 and the correlation with milk production is 0·5.

scholarly journals Joint effects of CSN3 and LGB genotypes and their relation to breeding values of milk production parameters in Czech Fleckvieh

2008 ◽  
Vol 52 (No. 4) ◽  
pp. 83-87 ◽  
Author(s):  
A. Matějíček ◽  
J. Matějíčková ◽  
E. Němcová ◽  
O.M. Jandurová ◽  
M. Štípková ◽  
...  
Keyword(s):  
Protein Content ◽  
Milk Production ◽  
Fat Content ◽  
Progeny Testing ◽  
Genotype Combination ◽  
Breeding Values ◽  
Joint Effects ◽  
Production Parameters ◽  
Pcr Rflp ◽  
Beta Lactoglobulin

The objective of this study was to estimate the joint effects of <i>CSN3</i> and <i>LGB</i> genotypes on breeding values of milk production parameters. <i>CSN3</i> (kappa-casein) and <i>LGB</i> (beta-lactoglobulin) genotypes of 120 Czech Fleckvieh sires were detected using the PCR-RFLP method. Breeding values of sires were obtained from the Official Database of Progeny Testing. Ten genotype combinations were detected. Genotypes <i>ABAB</i> (25.0%), <i>ABAA</i> (13.3%) and <i>ABBB</i> (13.3%) were the most frequent. Significant effects of genotype combinations on breeding values for fat and protein content were found. The highest breeding values for milk (+621 kg) and protein (+15.8 kg) yields were associated with genotype combination <i>ABAA</i>, while the highest breeding values for content parameters (+0.15% for protein content and +0.55% for fat content) were associated with genotype combination <i>BBAB</i>.

HARIANA - AN INDIAN CATTLE BREED IN ITS NATIVE ECOLOGY

1996 ◽  
Vol 18 ◽  
pp. 49-57
Author(s):  
B. K. Joshi ◽  
M. S. Tantia ◽  
Neelam Gupta ◽  
S. C. Gupta ◽  
R. Sahai
Keyword(s):  
Milk Production ◽  
Genetic Improvement ◽  
Rural Households ◽  
Cattle Breed ◽  
North India ◽  
Animal Power ◽  
Performance Traits ◽  
Indian Cattle ◽  
Dairy Animal ◽  
Mechanized Agriculture

SUMMARYThe fast changing socio-economic levels of inhabitants, ecological profile and agricultural scenario in the native breeding.tract of Hariana cattle breed reveal several factors resulting in consistently a declining trend in the population as well as genetic deterioration in performance traits of the breed. The breed, once occupying pre eminent position in Indian farming throughout the entire rural households of North India for both draught power and milk production, isnow being gradually neglected and becoming economically non-remunerative because of intensive and more mechanized agriculture replacing draught animal power, shrinking grazing areas, over emphasis on crossbreeding with exotic cattle inheritance and emergence of buffalo as a commercial dairy animal. The authors emphasize the need to develop suitable strategies for planned genetic improvement and conservation programmes of the breed to resurrect it as an economical viable cattle breed for the posterity.

Performance evaluation, conservation and improvement of Sahiwal cattle in India

2001 ◽  
Vol 31 ◽  
pp. 43-54 ◽  
Author(s):  
B.K. Joshi ◽  
A. Singh ◽  
R.S. Gandhi
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Central Government ◽  
Weighted Average ◽  
Zebu Cattle ◽  
Progeny Testing ◽  
Lactation Length ◽  
Frozen Semen ◽  
Sahiwal Cattle ◽  
Brown Body

SummaryThe Sahiwal cattle, one of the best dairy breeds of Zebu cattle in India and Pakistan, originate from the Montgomery district of Pakistan and is distributed on farmer herds in certain pockets of the bordering districts of Punjab and Rajsthan in India. The animals of this breed are also available in Kenya and are used for crossing with local East African Zebu types to improve milk production. Sahiwal cattle have deep body, loose skin, short legs, stumpy horns and a broad head with pale red to dark brown body colour. The average body weight in adult females and males is around 350 and 500 kg, respectively. The animals of this breed are maintained on various State and Central Government farms, privately owned farms, charitable trusts and a small proportion of animals are also available with the farmers. More than 1 200 breedable females are available at various farms in the country. The average lactation milk yield of Sahiwal cattle on organized farms ranges between 1 500 to 2 500 kg. However, in well-managed herds, the highest lactation milk production in certain cows is more than 4 500 kg. The overall weighted average milk yield, age at first calving, lactation length and calving interval based on the performance at various herds is around 1 900 kg, 36 months, 315 days and 420 days, respectively. The fat and Solid Non Fat (SNF) percent ranges from 4.6 to 5.2 percent and 8.9 to 9.3 percent, respectively. Quite a large proportion of pure-bred Sahiwal cattle maintained on organized breeding farms has been used for the production of cross-bred cattle. As a result, different cross-bred strains of dairy cattle viz Karan Swiss, Karan Fries and Frieswal have evolved at the National Dairy Research Institute, Karnal and Military Dairy Farms. The breed has also been utilized for the production of synthetic strains like Jamaica Hope (JH), Australian Milking Zebu (AMZ) and Australian Friesian Sahiwal (AFS) in other countries. Currently, efforts are being made to characterize, evaluate and conserve the breed in field conditions. More than 0.10 million doses of frozen semen of this breed are cryopreserved at various semen banks in the country. The frozen semen is being utilized for strengthening and genetically improving the existing herds of the breed through progeny testing programmes of sires associating various herds of Sahiwal in the country.

Bos indicus and Bos taurus crossbred dairy cattle in Australia. IV.* Progeny testing and expected rate of genetic improvement

1976 ◽  
Vol 27 (2) ◽  
pp. 309 ◽  
Author(s):  
IR Franklin ◽  
RH Hayman ◽  
RO Hewetson
Keyword(s):  
Dairy Cattle ◽  
Heat Tolerance ◽  
Genetic Improvement ◽  
Bos Taurus ◽  
Bos Indicus ◽  
Progeny Testing ◽  
Dairy Farmers ◽  
Improvement Program ◽  
Tropical Environments ◽  
Tick Resistance

A dairy improvement program designed to develop a breed of cattle adapted to tropical environments is described. Each year young crossbred (Bos indicus x Bos taurus) bulls are screened for heat tolerance and tick resistance, and then progeny-tested in the herds of cooperating dairy farmers. Estimates of phenotypic and genetic means, variances and correlations are presented for production of milk and milk components, and the rate of genetic improvement is discussed. In particular the heritability of milk yield in the crossbred progeny is 0.27, and the theoretical rate of improvement is 2.6% per year. ____________________ *Part III, Aust. J. Agric. Res., 25: 1023 (1974).

scholarly journals Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing.

Genetics ◽  
1995 ◽  
Vol 139 (2) ◽  
pp. 907-920 ◽  
Author(s):  
M Georges ◽  
D Nielsen ◽  
M Mackinnon ◽  
A Mishra ◽  
R Okimoto ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Dairy Cattle ◽  
Milk Production ◽  
Quantitative Trait ◽  
Bovine Genome ◽  
Progeny Testing ◽  
Cattle Breeding ◽  
Trait Loci ◽  
Dairy Cattle Breeding ◽  
Autosomal Microsatellites

Abstract We have exploited "progeny testing" to map quantitative trait loci (QTL) underlying the genetic variation of milk production in a selected dairy cattle population. A total of 1,518 sires, with progeny tests based on the milking performances of &gt; 150,000 daughters jointly, was genotyped for 159 autosomal microsatellites bracketing 1645 centimorgan or approximately two thirds of the bovine genome. Using a maximum likelihood multilocus linkage analysis accounting for variance heterogeneity of the phenotypes, we identified five chromosomes giving very strong evidence (LOD score &gt; or = 3) for the presence of a QTL controlling milk production: chromosomes 1, 6, 9, 10 and 20. These findings demonstrate that loci with considerable effects on milk production are still segregating in highly selected populations and pave the way toward marker-assisted selection in dairy cattle breeding.

Breeding strategies for the development of the Australian beef industry: an overview

2006 ◽  
Vol 46 (2) ◽  
pp. 183 ◽  
Author(s):  
K. Hammond
Keyword(s):  
Genetic Improvement ◽  
Genetic Material ◽  
Current Status ◽  
Research Centre ◽  
Progeny Testing ◽  
Environment Interaction ◽  
Production Environment ◽  
Cooperative Research ◽  
Beef Industry ◽  
Production Environments

Strategic directions for the period 2010 to 2020 and research and development needs are considered for the Australian Beef Industry from the breeding sector’s perspective. These are related to the way major technologies are developed for an industry, the current status and likely trends in market development and appropriation of benefits to the consumer, processor, commercial beef producer and breeding sectors. The primary strategic needs identified are: (i) understand the functional biology for the major production environments (supply chain packages), (ii) accelerate the speed of genetic improvement for production environment breeding goals based on commercial sector profitability and the dissemination of superior genetic material to this sector, and (iii) retain and develop the Beef Cooperative Research Centre concept over the period. Tactics for realising each strategy are considered. Rigorously designed industry-level studies based on a genotype × environment interaction approach, involving all major production environments and breeds, have an important role to play, as do the serial development of measuring equipment and procedures for carcass quality and yield, body maintenance, disease management and maternal performance. Information and communication, molecular genetics and artificial insemination technologies, along with formal progeny testing and an extended BREEDPLAN system, will be increasingly used by the breeding as well as commercial industry sectors to more consistently meet particular market demands. Carefully executed progeny testing is a pragmatic and necessary breeding approach for the period, serving a number of important purposes. The beef industry as a whole will need to take more responsibility for its genetic improvement element by: managing the appropriation of benefits across sectors, developing an increasingly effective system of value-based marketing and, for each sector and production environment, a more appropriate program of capacity building. The industry could now usefully consider the further development of its activity to address these longer-term strategic needs.

Optimizing age at first use of semen for higher fertilityin Sahiwal breeding bulls

2016 ◽  
Author(s):  
B. C. Naha ◽  
A. K. Chakravarty ◽  
M. A. Mir ◽  
M. Bhakat
Keyword(s):  
Comparative Evaluation ◽  
Regression Models ◽  
Information Criterion ◽  
Conception Rate ◽  
Coefficient Of Determination ◽  
Progeny Testing ◽  
Testing Programme ◽  
Multiple Regression Models ◽  
Improvement Programme ◽  
Selection Of

The objective of the study was to optimise the age at first use (AAFU) of semen in Sahiwal breeding bulls which will help in early selection of bulls under progeny testing programme. The data on AAFU, conception rate based on first A.I. (CRFAI), overall conception rate (OCR) and birth weight (B.WT) of 43 Sahiwal bulls during 1987 to 2013 at NDRI centre pertaining to 8 sets of Sahiwal improvement programme at ICAR-NDRI, Karnal, India were adjusted for significant environmental influences and subsequently analyzed. Simple and multiple regression models were used for prediction of CRFAI and OCR of Sahiwal bulls. Comparative evaluation of three developed models (I to III) have showed that Model III, having AAFU and B.WT which fulfill the accuracy of model as revealed by high coefficient of determination, low mean sum of square to due error, low conceptual predictive value and low Bayesian information criterion . The results showed that average predicted CRFAI was highest (49.34%) at less than 5 years and lowest (44.79%) at > 6 years of age at first A.I. /use. Similarly average predicted OCR was highest (48.50%) at less than 5 years and lowest (44.56%) at >6 years of age at first A.I. / use of Sahiwal bulls. In organized herd under progeny testing programme, Sahiwal bulls should be used prior to 5 years which is expected to result in 4.45% better CRFAI and 3.94% better OCR in comparison to Sahiwal bulls used after 6 years of age.

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