Conserving domestic animal diversity among composite populations

Shrestha, J. N. B.

doi:10.1016/j.smallrumres.2004.06.014

Cited by 20 publications

(12 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presence of exotic inheritance in these composite populations along with retained heterosis could be the possible reasons for increased body size in these animals. Shrestha (2005) stated that the loss of heterosis in composite population could be reduced by increasing the number of breeds to be assembled as three, four or even more, retaining two-thirds, three-fourths or more of heterosis. In the present study, four breeds of goats were involved (Saanen, Alpine, Boer and Malabari) and hence three fourth of heterosis could be retained.…”

Section: Resultsmentioning

confidence: 99%

Assessment of genetic diversity in goat genetic groups of Kerala, (India) using morphobiometric markers

Radhika

Raghavan

Mercey

et al. 2018

IJAR

View full text Add to dashboard Cite

Geographical isolation and human interventions resulted in formation of subpopulations among native breeds, which showed differences in morphological or biometric traits. Crossbreeding of indigenous goats with exotic breeds resulted in combining desirable characteristics of many breeds in a composite population. Malabari crossbreds (CB), which had the inheritance of Malabari, Saanen, Alpine and Boer goat breeds were available at University Goat Farm, Mannuthy, Kerala, India. The native goats of Kerala namely, Attappady Black (AB) and populations of Malabari goats from Kannur, Calicut, Thrissur and Malappuram districts (MK, MC, MT and MM) were analysed along with Malabari crossbreds (CB) for genetic diversity. Morphological data were collected from 1776 animals and biometric data from 572 animals representing six goat populations. Qualitative morphological traits analysed were coat colour, presence or absence of horns, tassels, beard, pattern of ear and hair at forequarters and hindquarters. Quantitative biometric traits assessed were chest girth, height at withers, body length and body weight collected from female animals of one to three years of age. Least squares means calculated from SPSS, canonical discriminant analysis by CANDISC, Mahalanobis distance and dendrogram constructed by PROC CLUSTER were used to analyse biometric variables. Canonical discriminant analysis conducted for biometric data identified three statistically significant canonical variables (P<0.0001), with CAN1 explaining 57.2 per cent of total variance. Multivariate analytical techniques thus confirmed the existence of six different populations. The discriminatory capacity of biometric variables chosen for the study was also justified.

show abstract

Section: Resultsmentioning

confidence: 99%

Assessment of genetic diversity in goat genetic groups of Kerala, (India) using morphobiometric markers

Radhika

Raghavan

Mercey

et al. 2018

IJAR

View full text Add to dashboard Cite

show abstract

“…Breeds are important potential sources of variation for genetic improvement and conservation of genetic diversity within species (Shrestha, 2005). Comprehensive studies of differences among dairy goat breeds for production and reproduction traits in goats are limited and based on small sample sizes or use experimental designs that are not suitable for statistical inference (Serradilla, 2001;Montaldo et al, 2010a).…”

Section: Introductionmentioning

confidence: 99%

Breed differences over time and heritability estimates for production and reproduction traits of dairy goats in the United States

Garcia-Peniche

Montaldo

Valencia-Posadas

et al. 2012

Journal of Dairy Science

View full text Add to dashboard Cite

To aid in improvement of breeding programs for production and reproduction traits of US dairy goats, breed differences over time were documented and genetic parameters were estimated. Data were from herds with ≥2 breeds (Alpine, LaMancha, Nubian, Oberhasli, Saanen, or Toggenburg), but only purebred data were analyzed. Three kidding periods were examined: 1976 through 1984, 1985 through 1994, and 1995 through 2005. Univariate repeatability mixed models were used to estimate least squares means by kidding period-breed and genetic parameters for milk, fat, and protein yields, combined fat and protein yield, fat and protein percentages, protein:fat ratio, age at first kidding, and kidding interval. Trends across kidding periods were favorable for most yield traits for all breeds but generally unfavorable for reproduction traits. Saanens had the highest milk (1,063 to 1,125 kg) and protein yields (31 to 33 kg). Nubians had the highest fat yields (37 to 40 kg) and lowest milk yields (791 to 851 kg). Oberhaslis had the lowest fat (31 to 33 kg) and protein (23 to 27 kg) yields. Alpines had the largest increase in milk yield (7.4%); Oberhaslis had the largest increase in protein (17.4%) and combined fat and protein (13.2%) yields. Combined fat and protein yield was higher for Nubians, Saanens, and Alpines (65 to 72 kg) than for LaManchas, Toggenburgs, and Oberhaslis (53 to 67 kg). Nubians had the highest fat (4.7 to 4.8%) and protein (3.6 to 3.8%) percentages. Only Nubians increased in fat percentage (2.1%); protein percentage increased most for Toggenburgs (7.4%) and Alpines (7.1%). Protein:fat ratio was highest for Toggenburgs (0.84 to 0.89) and lowest for Nubians (0.76 to 0.81), but Nubians had the largest increase in protein:fat ratio (6.6%). Saanens were oldest at first kidding (509 to 589 d), and Toggenburgs and LaManchas generally were youngest (435 to 545 d); age at first kidding increased most for Alpines (21.8%) and LaManchas (21.6%). Kidding intervals generally were shorter for Oberhaslis, LaManchas, and Nubians (350 to 377 d) than for Toggenburgs, Alpines, and Saanens (373 to 387 d). Kidding interval increased most for Nubians (3.9%) and Saanens (3.8%) and decreased only for Oberhaslis (5.4%). Heritability estimates across breeds were 0.35 for milk and fat yields, 0.37 for protein yield and protein:fat ratio, 0.36 for combined fat and protein yield, 0.52 for fat percentage, 0.54 for protein percentage, 0.23 for age at first kidding, and 0.05 for kidding interval. Genetic selection within breed is feasible for production and reproduction traits of US dairy goats.

show abstract

“…The economic value of farm animal genetic resources is receiving more and more attention (e.g. Roosen et al 2005;Shrestha 2005;FAO 2007).…”

mentioning

confidence: 99%

Genetic diversity of Swiss sheep breeds in the focus of conservation research

Glowatzki-Mullis

Muntwyler²,

Bäumle

et al. 2009

J Animal Breeding Genetics

View full text Add to dashboard Cite

There is constant pressure to improve evaluation of animal genetic resources in order to prevent their erosion. Maintaining the integrity of livestock species as well as their genetic diversity is of paramount interest for long-term agricultural policies. One major use of DNA techniques in conservation is to reveal genetic diversity within and between populations. Forty-one microsatellites were analysed to assess genetic diversity in nine Swiss sheep breeds and to measure the loss of the overall diversity when one breed would become extinct. The expected heterozygosities varied from 0.65 to 0.74 and 10.8% of the total genetic diversity can be explained by the variation among breeds. Based on the proportion of shared alleles, each of the nine breeds were clearly defined in their own cluster in the neighbour-joining tree describing the relationships among the breeds. Bayesian clustering methods assign individuals to groups based on their genetic similarity and infer the number of populations. In STRUCTURE, this approach pooled the Valais Blacknose and the Valais Red. With BAPS method the two Valais sheep breeds could be separated. Caballero & Toro approach (2002) was used to calculate the loss or gain of genetic diversity when each of the breeds would be removed from the set. The changes in diversity based on between-breed variation ranged from -12.2% (Valais Blacknose) to 0% (Swiss Black Brown Mountain and Mirror Sheep); based on within-breed diversity the removal of a breed could also produce an increase in diversity (-0.6% to + 0.6%). Allelic richness ranged from 4.9 (Valais Red) to 6.7 (Brown Headed Meat sheep and Red Engadine Sheep). Breed conservation decisions cannot be limited to genetic diversity alone. In Switzerland, conservation goals are embedded in the desire to carry the cultural legacy over to future generations.

show abstract

Conserving domestic animal diversity among composite populations

Cited by 20 publications

References 15 publications

Assessment of genetic diversity in goat genetic groups of Kerala, (India) using morphobiometric markers

Assessment of genetic diversity in goat genetic groups of Kerala, (India) using morphobiometric markers

Breed differences over time and heritability estimates for production and reproduction traits of dairy goats in the United States

Genetic diversity of Swiss sheep breeds in the focus of conservation research

Contact Info

Product

Resources

About