Kramarenko S., Kramarenko A., Lugovoy S., Balan D., Zemoglyadchuk K. The effects of breed, sire and environmental factors on the birth and weaning weight of lambs

UDC 636.3.082 / 57.087.01

 

Kramarenko S.,

Kramarenko A.,

Lugovoy S.,

Balan D.,

Zemoglyadchuk K

 

The main goal of this study was to determine the effect of some important factors affecting the birth and weaning weight variability in lambs. The study was carried out on the basis of the Institute of Animal Husbandry of Steppe Regions named by M. F. Ivanov “Askania-Nova” – the National Scientific Agricultural Center in Sheep Breeding of NAAS.

The object of the study was the influence of genetic and non-genetic factors on the birth and weaning weight of lambs. Data from 2603 ewes was included in the analysis, where 3961 lambs were obtained during the five years of the research.

The reproductive qualities of the Ascanian fine-fleece ewes (AC) were evaluated by their matching with the sires of the following genotypes which are the Ascanian fine-fleece, the Australian merino (AM) and the half-bred rams (1/2AC + 1/2AM). The influence of the year of lambing, the age of ewes, the litter size, the sex of lambs on weight of lambs at birth and weaning was also studied. Data was tested using analysis of variance (ANOVA) with the GLM procedure of Minitab Release 13.1.

The significant effect on the weight of lambs at birth and weaning was established for all factors which were used in the analysis. The significant influence of the ram genotype on the birth weight of lambs was not established.

The population means (µ) were 4.047 ± 0.035 and 26.83 ± 0.38 kg for birth and weaning weight of lambs, respectively. In general, the periods of increase or decrease coincided for the birth/weaning weight of lambs. The birth weight of lambs did not depend on the genotype of the ram. According to the weaning weight of lambs the ewes, which were mated with the AM rams, gave birth to lambs, which were inferior to the population mean by 0.78 kg.

The birth weight of lambs was significantly higher than the population mean among eight years old ewes (101 g), while the youngest ewes, by the contrast, gave birth to lambs which were significantly lower than the population mean (by 155 g). As for the weaning weight of lambs, middle-aged ewes (5-6 years old) gave birth to lambs which significantly exceeded the population mean by 0.85-1.06 kg.

The weight of singles was significantly higher than the population mean at birth (561 g) and at weaning (1.89 kg). The weaning weight was significantly lower by 0.71 kg for ewes lambing twins. The ram lambs significantly exceeded the ewe lambs by 74 g at birth and by 0.66 kg at weaning.

Only for a ram № 519 it is possible to state high prepotency according to the potential of increasing the weight of lambs both at birth and at weaning. In total, for 20 sires, a significantly relationship between their LS-estimates of birth and weaning weight of lambs was not established (r = 0.293; n = 20; p = 0.209).

Keywords: birth and weaning weight of lambs; ram genotype; year of lambing; age of ewes; litter size (type of birth); sex of a lamb; the Ascanian fine-fleece breed.

References:

  1. Rasali, D. P., Shrestha, J. N. B., & Crow, G. H. (2006). Development of composite sheep breeds in the world: A review. Canadian Journal of Animal Science, 86(1), 1-24. https://doi.org/10.4141/A05-073
  2. Kijas, J. W., Lenstra, J. A., Hayes, B., Boitard, S., Neto, L. R. P., San Cristobal, M., … & Paiva, S. (2012). Genome-wide analysis of the world’s sheep breeds reveals high levels of historic mixture and strong recent selection. PLoS Biol, 10(2), e1001258. https://doi.org/10.1371/journal.pbio.1001258
  3. Assan, N., 2020. Effect of genetic and non-genetic factors on growth traits in goats and sheep production. Scientific Journal of Zoology, 9(1), 106-122.
  4. Assan, N., & Makuza, S. M. (2005). The effect of non-genetic factors on birth weight and weaning weight in three sheep breeds of Zimbabwe. Asian-australasian journal of animal sciences, 18(2), 151-157. https://doi.org/10.5713/ajas.2005.151
  5. Eskandarinasab, M., Ghafouri-Kesbi, F., & Abbasi, M. A. (2010). Different models for evaluation of growth traits and Kleiber ratio in an experimental flock of Iranian fat-tailed Afshari sheep. Journal of Animal Breeding and Genetics, 127(1), 26-33. https://doi.org/10.1111/j.1439-0388.2008.00789.x
  6. Vesely, J. A., & Peters, H. F. (1964). The effects of breed and certain environmental factors on birth and weaning traits of range sheep. Canadian Journal of Animal Science, 44(2), 215-219. https://doi.org/10.4141/cjas64-033
  7. Saghi, D. A., Khadivi, H., Navidzadeh, M., & Nikbakhti, M. (2007). Study on influence of environmental effect on birth weight, weaning weight and daily growth of Baluchi sheep. Pakistan Journal of Nutrition, 6(5), 436-437. https://doi.org/10.3923/pjn.2007.436.437
  8. Sidwell, G. M., & Miller, L. R. (1971). Production in some pure breeds of sheep and their crosses. II. Birth weights and weaning weights of lambs. Journal of Animal Science, 32(6), 1090-1094. https://doi.org/10.2527/jas1971.3261090x
  9. Eltawil, E. A., Hazel, L. N., Sidwell, G. M., & Terrill, C. E. (1970). Evaluation of environmental factors affecting birth, weaning and yearling traits in Navajo sheep. Journal of Animal Science, 31(5), 823-827. https://doi.org/10.2527/jas1970.315823x
  10. Lavvaf, A., & Noshary, A. (2008). Estimation of genetic parameters and environmental factors on early growth traits for Lori breed sheep using single trait animal model. Pakistan Journal of Biological Sciences, 11(1), 74-79. https://doi.org/10.3923/pjbs.2008.74.79
  11. Teklebrhan, T., Urge, M., Mekasha, Y., & Baissa, M. (2014). Pre-weaning growth performance of crossbred lambs (Dorper × indigenous sheep breeds) under semi-intensive management in eastern Ethiopia. Tropical Animal Health and Production, 46(2), 455-460. https://doi.org/10.1007/s11250-013-0513-1
  12. Sánchez-Dávila, F., Bernal-Barragán, H., Padilla-Rivas, G., del Bosque-González, A. S., Vázquez-Armijo, J. F., & Ledezma-Torres, R. A. (2015). Environmental factors and ram influence litter size, birth, and weaning weight in Saint Croix hair sheep under semi-arid conditions in Mexico. Tropical Animal Health and Production, 47(5), 825-831. https://doi.org/10.1007/s11250-015-0795-6
  13. Mallick, P. K., Pourouchottamane, R., Rajapandi, S., Thirumaran, S. M. K., Venkataraman, R., Nagarajan, G., … & Rajendiran, A. S. (2017). Influence of genetic and non genetic factors on growth traits of Bharat Merino sheep in sub-temperate climate of Kodai hills of Tamil Nadu, India. Indian Journal of Animal Research, 51(2), 365-370. https://doi.org/10.18805/ijar.10979
  14. Pokhyl, V. I., & Mykolaychuk, L. P. (2019). Age-related variability of the woollen coat of Romanivska sheep breed. Theoretical and Applied Veterinary Medicine, 7(3), 172-176. (In Ukrainian). https://doi.org/10.32819/2019.71031
  15. Vdovychenko, Yu., & Zharuk, P. (2019). Genetic resources of sheep in Ukraine. Bulletin of Agricultural Science, 97(5), 38-44. (In Ukrainian). https://doi.org/10.31073/agrovisnyk201905-04
  16. Voitenko, S. L., Porkhun, M. G., Sydorenko, O. V., & Ilnytska, T. Y. (2019). Genetic resources of agricultural animals of Ukraine at the beginning of the third millennium. Animal Breeding and Genetics, 58, 110-119. (In Ukrainian). https://doi.org/10.31073/abg.58.15
  17. Petrović, M. P., Caro Petrović, V., Ružić-Muslić, D., Maksimović, N., Petrović, M. M., Ilić, Z. Z., & Stojković, J. (2015). Effect of genetic and environmental factors on the phenotype characteristics of lambs. Biotechnology in Animal Husbandry, 31(2), 223-233. https://doi.org/10.2298/BAH1502223P
  18. Kramarenko, A. S., Kramarenko, S. S., Lugovoy, S. I., & Yulevich, O. I. (2020). Analysis of the influence of genetic and non-genetic factors on the birth weight and weaning weight of lambs. Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies. Series: Agricultural sciences, 22(93), 14-21. https://doi.org/10.32718/nvlvet-a9303
  19. Ryan, B.F., Joiner, B.L., & Cryer, J.D. (2012). MINITAB Handbook: Update for release 16. – Pacific Grove, CA, USA: Brooks/Cole Publishing Co., 560 p.
  20. Hight, G. K., & Jury, K. E. (1970). Hill country sheep production: II. Lamb mortality and birth weights in Romney and Border Leicester × Romney flocks. New Zealand Journal of Agricultural Research, 13(4), 735-752. https://doi.org/10.1080/00288233.1970.10430507
  21. Benyi, K., Norris, D., Karbo, N., & Kgomo, K. A. (2006). Effects of genetic and environmental factors on pre-weaning and post-weaning growth in West African crossbred sheep. Tropical Animal Health and Production, 38(7-8), 547-554. https://doi.org/10.1007/s11250-006-4416-2
  22. Morris, C. A., Hickey, S. M., & Clarke, J. N. (2000). Genetic and environmental factors affecting lamb survival at birth and through to weaning. New Zealand Journal of Agricultural Research, 43(4), 515-524. https://doi.org/10.1080/00288233.2000.9513448
  23. Gama, L. T., Dickerson, G. E., Young, L. D., & Leymaster, K. A. (1991). Effects of breed, heterosis, age of dam, litter size, and birth weight on lamb mortality. Journal of Animal Science, 69(7), 2727-2743. https://doi.org/10.2527/1991.6972727x
  24. Vesely, J. A., & Slen, S. B. (1961). Heritabilities of weaning weight, yearling weight, and clean fleece weight in range Romnelet sheep. Canadian Journal of Animal Science, 41(1), 109-114. https://doi.org/10.4141/cjas61-014
  25. Hazel, L. N., & Terrill, C. E. (1945). Effects of some environmental factors on weanling traits of range Rambouillet lambs. Journal of Animal Science, 4(4), 331-341. https://doi.org/10.2527/jas1945.44331x
  26. Hazel, L. N., & Terrill, C. E. (1946). Effects of some environmental factors on weanling traits of range Columbia, Corriedale and Targhee lambs. Journal of Animal Science, 5(3), 318-325. https://doi.org/10.2527/jas1946.53318x
  27. Ploumi, K., & Emmanouilidis, P. (1999). Lamb and milk production traits of Serrai sheep in Greece. Small Ruminant Research, 33(3), 289-292. https://doi.org/10.1016/S0921-4488(99)00027-9
  28. Bathaei, S. S., & Leroy, P. L. (1994). Lamb growth performance and factors affecting body weight of Iranian fat-tailed Mehraban breed of sheep. Revue d’Elevage et de Medecine Veterinaire des pays Tropicaux, 47(1), 113-116. https://doi.org/10.19182/remvt.9122
  29. Yilmaz, O. S. M. A. N., Denk, H., & Bayram, D. A. V. U. T. (2007). Effects of lambing season, sex and birth type on growth performance in Norduz lambs. Small Ruminant Research, 68(3), 336-339.https://doi.org/10.1016/j.smallrumres.2005.11.013
  30. Selaive-Villarroel, A. B., Maciel, M. B., & Oliveira, N. M. D. (2008). Effects of weaning age and weight on lamb growth rate of Morada Nova breed raised in a tropical extensive production system. Ciência Rural, 38(3), 784-788. https://doi.org/10.1590/S0103-84782008000300030
  31. Alsheikh, S. (2005). Effect of inbreeding on birth and weaning weights and lamb mortality in a flock of Egyptian Barki sheep. ISAH-Warsaw: Poland, 1, 187-191.

Modelling of the lactation curves in dairy cattle on the basis of Principal Component Analysis (PCA)

UDC 636.2.034/57.087

S. Kramarenko,
N. Kuzmichova,
A. Kramarenko

It is noted in the article that two main (latent) factors that determine the shape of the lactation curve can be distinguished on the basis of the Analysis of the Main Component (PCA).
Data on the origin and indices of lactation activity (n = 526) during 1-9 lactations of 113 red red steppe cows that were descendants of 6 pedigree bulls and kept in the ST “Plemreproduktov” steppe (Mykolaiv region, Ukraine) during 2001-2014 pp. was used in the study. In addition, the total hopes for 305 days of lactation (Y305) were used to study the effects of the age and the month of calving of cows on the form of their lactation curves.
High correlations were found between the level of productivity during different months of lactation. The Analysis of the Main Component (PCA), performed on the basis of the correlation matrix of tastes for M1 … M10, proves the possibility of obtaining two new variables (PC1 and PC2) describing about 80% of the variability of the output data. The first main component (PC1) describes 53.0%, while the second (PC2) describes about 26.9% of the variability of the output data, respectively. PC1 had probable and positive correlations with M3 … M9 ranging from 0.658 to 0.938, while PC2 had probable and positive correlations with M2-M3 (0.695 … 0.717), but high and negative with M9-M19 (- 0.673 … -0.661). Thus, PC1 determines the potential level of dairy productivity, while PC2 characterizes the persistence of the lactation curve (the rate of reduction in milk productivity after reaching the peak).
The PC1 had a very high correlation with Y305 (0.958; p & lt; 0.001), while PC2 was uncorrelated with total lactation thirst for 305 days (0.007; p = 0.856). The absence of a correlation between PC2 and Y305 coincides with the suggestion by some authors of the possibility of using persistence as a measure that does not depend on the level of milk productivity.
It has been established that the calving number, age and month of calving of cows are also able to change the standard shape of the lactation curve. The first-breeders had the lowest milk productivity (Y305).
The obtained results indicate that the breeding work was mainly aimed at raising the level of milk productivity, rather than on the correction of the persistence of the lactation curve.

Keyword: lactation curve, persistency, Principle Component Analysis (PCA), dairy cattle.

Modelling of the lactation curves in dairy cattle on the basis of Principal Component Analysis (PCA).

Issue 4 (96), 2017

Analysis of the linear models using to assess the influence of different factors on the productivity of dairy cows

UDC 636.2.034/57.087

О. Kramarenko,
O. Potryvaieva

To determine the influence of various factors on the milk yield of cows, we used a linear model of a mixed type, as a random factor, the genotype of a bull-producer, and as fixed – the number of lactation, the year of birth and the calving season of cows. In total, data on 526 lactations per 113 red steppe cows were included in the analysis, which were kept in the conditions of State Enterprise “Plepreproductor” Stepnoe “(Ukraine, Mykolayiv region) during 2001-2014.
Data on milk yield for ten months (M1-M10) and 305 days of lactation (Y305) were used as a dependent variable. For individual gradations of factors, the estimates of the coefficients with the employer of the LSM procedure (Least squares means ± SE) were computed in the model, and the level of reliability of their deviation from zero (p-estimation) was determined. All calculations were carried out using the module “GLM” (General Linear Model) of the MiniTab software package v. 15.
We have established an insignificant, but it is possible that some bulls-producers influence the hopes of their daughters during M2 … M4. Thus, it was found that the milk of the Altea was lower for the M2-M3 daughters, whereas the milk yield for M2 … M4 in the daughters of the bull of Narcissus was, on the contrary, higher than the average population value. In addition, the last almost 130 kg prevailed in relation to milk yield for 305 days of lactation.
The first-borns were characterized by less milking during the first half of the lactation (especially, according to M1-M2), and by 416 kg inferior to the average population estimate. On the other hand, cows at the age of eighth lactation, on the contrary, showed significantly higher milk yield during the average lactation months (M4 … M8), and an average population estimate prevailed on 662 kg of milk.
In addition, a high level of milk productivity was established for cows born in 2005, 2007 and 2009, which is primarily due to the increase in their milk productivity in the first half of lactation.
The presence of a highly probable effect of the calving season on the level of milk productivity of cows is manifested primarily in the increase in milk yields (especially in M4 … M8) in January calving, and, conversely, in decline – with calving in June and July.

Keyword: Linear models, number of lactation, year of birth, season of calving, dairy cattle.

Analysis of the linear models using to assess the influence of different factors on the productivity of dairy cows.

References:
1. Getya A. A., Dodenkhoff Y. Zastosuvannia BLUP-metodu pry orhanizatsii otsinky selektsiinoi tsinnosti svynei v Ukraini / A. A. Getya, Y. Dodenkhoff // Tekhnolohiia vyrobnytstva i pererobky produktsii tvarynnytstva. – 2010. – Vypusk 3 (72). – S. 52-55.
2. Danshin V. A. Ocenka geneticheskoj cennosti zhivotnyh / V. A. Danshin – K. : Agrarna nauka, 2008. – 180 s.
3. Sovremennye metody geneticheskogo kontrolya selekcionnyh processov i sertifikaciya plemennogo materiala v zhivotnovodstve / [N. A. Zinov’eva, P. M. Klenovickij, E. A. Gladyr’ i dr.]. – M. : RUDN, 2008. – 329 s.
4. Kuznecov V. M. Metody plemennoj ocenki zhivotnyh s vvedeniem v teoriyu BLUP / V. M. Kuznecov. – Kirov : Zonal’nyj NIISKH Severo-Vostoka, 2003. – 358 s.
5. Kramarenko S. S. Vykorystannia liniinykh modelei (BLUP) dlia otsinky pleminnoi tsinnosti koriv za molochnoiu produktyvnistiu / S. S. Kramarenko, O. I. Potryvaieva // Visnyk ahrarnoi nauky Prychornomoria. – 2016. – Vyp. 2(2). – S. 187-192.
6. Kramarenko S. S. Novi metody matematychnogho modeljuvannja laktacijnykh kryvykh za dopomoghoju interpoljaciji / S. S. Kramarenko // V kn. : Materialy mizhnarodnoji naukovo-praktychnoji konferenciji «Novitni tekhnologhiji skotarstva u ХХІ stolitti» (Mykolajiv, 4-6 veresnja 2008 r.). – Mykolajiv : MDAU, 2008. – S. 159-164.
7. Ryan B. F. MINITAB Handbook : Update for release 16 / B. F. Ryan, B. L. Joiner, J. D. Cryer. – Pacific Grove, CA, USA: Brooks/Cole Publishing Co., 2012. – 560 p.
8. Wood P. D. P. The relationship between the month of calving and milk production / P. D. P. Wood // Animal Science. – 1970. – V. 12. – №. 2. – P. 253-259.
9. Miller P. D. Joint influence of month and age of calving on milk yield of Holstein cows in the northeastern United States / P. D. Miller, W. E. Lentz, C. R. Henderson // Journal of Dairy Science. – 1970. – V. 53. – №. 3. – P. 351-357.
10. Ray D. E. Season and lactation number effects on milk production and reproduction of dairy cattle in Arizona / D. E. Ray, T. J. Halbach, D. V. Armstrong // Journal of Dairy Science. – 1992. – V. 75. – №. 11. – P. 2976-2983.
11. Ptak E. Interaction of age and month of calving with year of calving for production traits of Ontario Holsteins / E. Ptak, H. S. Horst, L. R. Schaeffer // Journal of Dairy Science. – 1993. – V. 76. – №. 12. – P. 3792-3798.
12. Abate A. L. Seasonal variation of milk persistency of Kenana× Friesian crossbred dairy cows under confinement feeding in a hot environment / A. L. Abate, M. Atta, R. N. Anthony // Animal Science Journal. – 2010. – V. 1. – №. 1. – P. 13-18.

Issue 3 (95), 2017

Peculiarities of genetic structure of the Southern meat cattle breed were based on the microsatellite DNA of loci: TGLA53, TGLA122, TGLA126 and TGLA227

UDC 575.827: 636.2.033

O. Kramarenko
I. Dovhopola

Genetic structure of the Southern meat cattle breed from the State Enterprise Experimental Farm “Askaniyske” NAAS (Kherson region) were investigated based on the microsatellite DNA loci. A total of 192 individuals were analyzed. Of those, 100 individuals represented “Santa Gertrudis” (SG) subpopulation and 92 ones represented “Zebu” (ZB) subpopulation. A panel of 4 bovine-specific microsatellite markers (TGLA53, TGLA122, TGLA126 and TGLA227), recommended of the ISAG for cattle genetic diversity studies, was selected for genetic characterization and revealing the extent of genetic diversity in the Southern Meat cattle breed.
Genomic DNA was extracted from tissue samples using Nexttec column (Nexttec Biotechnology GmbH, Germany) following the manufacturer’s instructions. The DNA concentration was estimated by measuring the absorbance at 260 nm and the DNA quality was checked by separation on agarose gels. PCR products were detected by АВI 3130xl (Applied Biosystems, USA), subsequently processed via GeneMapper ID v. 3.2 software. All laboratory tests were conducted in the laboratory of Molecular Genetics, Animal Center of Biotechnology and Molecular Diagnostics, All-Russian Research Institute for Animal Husbandry named after academy member L.K. Ernst.
For the SG-subpopulation, frequency of the TGLA53156, TGLA122143, TGLA22789 and TGLA22797 alleles is significantly higher, whereas frequency of the TGLA53162, TGLA53166, TGLA122145, TGLA122149 and TGLA22781 alleles is predominant for the ZB-subpopulation.
We report for the first time, the distribution and the frequency of a taurine and an indicine specific alleles amongst SG- and ZB-subpopulations of the Southern Meat cattle breed. Three alleles (TGLA122149, TGLA12612 and TGLA22777) were classified as zebu diagnostic; on other hand, three other alleles (TGLA53156, TGLA122143 and TGLA126115) were classified as taurine breeds diagnostic.

Key words: microsatellite DNA loci, genotypic and allelic richness, taurus/indicus-specific alleles, the Southern Meat cattle breed, cattle.

Peculiarities of genetic structure of the Southern meat cattle breed were based on the microsatellite DNA of loci: TGLA53, TGLA122, TGLA126 and TGLA227.

Issue №1 (93), 2017

Аналіз генетико-демографічних процесів в популяції худоби півден ної м’ ясної породи

1(82), 2015
UNC 636.4:636.082:575.827

O. Kramarenko.
M. Gill

The studied population of the Southern Meat cattle breed is exposed to genetic and demographic processes. The negative impact of these processes was registered for «Santa-Ger trudis» subpopulations particularly. Signifi cant loss of rare alleles and the manifestation of the bot tleneck effect have been marked for  these animals. High levelof inbreeding is the result of these processes.

(more…)

Аналіз динаміки живої маси корів південної м’ясної породи різних типів методом BLUP

Номер, том, частина, рік
4(75), 2, 1, 2013

УДК
636.082.25

Автор
О.С. Крамаренко, аспірант
Науковий керівник – д. с.-г. н., професор Гиль М.І.
Миколаївський національний аграрний університет, Україна

Анотація
У статті наведено результати аналізу динаміки генетичного тренду показників росту телиць південної м’ясної породи різних ліній й типів, отриманого на основі метода BLUP. При використанні аналізу головних компонент (РСА) було визначено основні закономірності генетичного тренду та визначено найкращі лінії у кожному типі.

Ключові слова
метод BLUP, ВРХ, південна м’ясна порода, генеалогічна лінія
(more…)