Effects of Environmental Factors on Cattle Milk Production Among Smallholder Households in Ala-Buka, Kyrgyzstan

Author(s):  
Munavar Zhumanova ◽  
Zakaria Amidu Issahaku ◽  
Keshav Lall Maharjan
2015 ◽  
pp. 43-47
Author(s):  
Zsolt Győri ◽  
Péter Balogh ◽  
László Huzsvai ◽  
Gabriella Novotniné Dankó

Sow milk production is the major factor limiting pig growth to weaning. Although the milk production of the sows incremental many environmental factors affect the actual performances. The supplemental milk replacer can be an appropriate solution to ward off disparities and try to equalize the available milk quantity to the piglets according to their appetite, to enlarge the weight of pigs at weaning, ultimately. The aim of the present study was to investigate the effects of liquid milk supplement on weight development and litter performance of the piglets during the suckling period. Data were collected from 60 farrowings, the weight of 649 piglets in a total were measured at birth, 14 days old and at weaning (28 days), respectively. In the control group (n=319) the piglets were suckled and got prestarter feed from day 10. In the experimental group (n= 330) the piglets had got liquid milk replacer in 10.71% solution, from day 10 after birth together with suckling and prestarter feed, as well. Based on the Duncan's multiple range tests, there were no significant differences in birth weight between the control and experimental group but we found significant differences between the 14 days weight and the weaning weight, subsequently. Based on the CV% of weight the experimental group became more homogenous, in contrary to the weight of the control group at the end of suckling period. The milk supplementation can be an appropriate solution to ward off disparities and to equalize the available milk quantity to the piglets according to their appetite, to enlarge and uniform the weight of pigs at weaning, ultimately.


Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 520
Author(s):  
Lizbeth E. Robles Jimenez ◽  
Juan C. Angeles Hernandez ◽  
Carlos Palacios ◽  
José A. Abecia ◽  
Anna Naranjo ◽  
...  

The objective of the present study was to evaluate the effect of the grade of crossbreeding (Lacaune x Manchega) and environmental factors on milk production in a commercial flock in Spain. A total of 5769 milk production records of sheep with different degrees of purity of the Lacaune breed crossed with Manchega were used as follows: 100% Lacaune (n = 2960), 7/8 Lacaune (n = 502), 13/16 Lacaune (n = 306), 3/4 (n = 1288), 5/8 Lacaune (n = 441) and 1/2 Lacaune: Manchega (n = 272). Additional available information included the number of parity (1 to 8), litter size (single or multiple), and the season of the year of lambing (spring, summer, autumn and winter). A mixed model was used to evaluate the level of crossbreeding and environmental factors on milk production. The 100% Lacaune sheep presented the highest milk production with respect to the F1 Lacaune x Manchega sheep (p < 0.01), showing that as the degree of gene absorption increases with the Manchega breed, it presents lower milk yield. The 100%, 13/16, and 3/4 Lacaune genotypes had the highest milk yields with respect to the 1/2 Lacaune/Manchega breed (p < 0.001). The Lacaune registered on average 181.1 L in a period adjusted to 160 days of lactation (1.13 L/ day). Likewise, the parity number, litter size, and season of lambing effects showed significant differences (p < 0.01). It was concluded that 13/16 and 3/4 Lacaune/Manchega ewes presented the highest milk yields with respect to the other crosses.


1998 ◽  
Vol 66 (2) ◽  
pp. 307-318 ◽  
Author(s):  
A. Dahlin ◽  
U. N. Khan ◽  
A. H. Zafar ◽  
M. Saleem ◽  
M. A. Chaudhry ◽  
...  

AbstractData from about 4000 Sahiwal cows from eight large herds in Pakistan were used to study the influence of genetic and environmental factors on some milk production traits. First-lactation mean values were 1363 kg, 1395 kg and 252 days for milk yield up to 305 days after calving, total lactation yield and lactation length, respectively. Second and third lactation yields were proportionately 0·12 and 0·18 higher, respectively, at 305 days. The effect of herd-year at calving was by far the most important source of variation for all traits. Heritabilities estimated in uni- and trivariate analyses, using restricted maximum likelihood (REML) with an expectation maximization algorithm for an animal model, ranged from 0·14 to 0·17 for first-lactation traits. The estimates were generally lower for second lactation and higher for third lactation traits. Genetic correlation between lactations for the same trait were close to unity, whilst the phenotypic were considerably lower. Repeatabilities for milk yield traits were 0·42 and for lactation length 0·31. Genetic and phenotypic correlations between first-lactation 305-day milk yield and lactation length were 0·83 and 0·71, respectively. Genetic trends for all traits were close to zero but a substantial deterioration in performance, caused by negative environmental factors, was observed. Although the heritabilities were low, the prospects for genetic improvement are good, as indicated by a rather large additive genetic variation. A multivariate animal model, including the first three lactations of 305-day milk yield, was recommended for the most accurate prediction of breeding values for milk production.


Author(s):  
G Simm ◽  
N R Wray

Two of the major steps in animal breeding programmes are (i) estimation of breeding values for a defined selection objective (such as milk production or carcass lean content), and (ii) design of optimum breeding programmes, including proportion of animals selected as parents, population size etc. Advances in electronics, and particularly in computer technology, have had a major Impact on these procedures in a number of ways. In this paper we aim to highlight four of these.The preferred method of estimating breeding values is universally recognised to be BLUP (Best Linear Unbiased Prediction). BLUP is superior to classical procedures, such as contemporary comparison, for several reasons. The most important is that it is more accurate in separating differences between animals which are attributable to genetic rather than environmental factors. BLUP was first proposed by Henderson in 1949 but the first BLUP evaluation was not implemented until 1970 (Henderson, 1987). This delay is almost entirely attributable to inadequate computing facilities and technology at that time, since a BLUP evaluation system requires a large number of equations to be stored and solved.


1987 ◽  
Vol 44 (2) ◽  
pp. 322-325 ◽  
Author(s):  
Susan Brotherstone

In formulating a genetic index for use in cow and sire evaluation, there is a need to account for all environmental factors which influence an animal's yield. To this end, milk production records are currently adjusted for, amongst other things, age at calving and month of calving. In Norway, Sweden and West Germany, records are corrected for calving interval, i.e. the number of days between subsequent calvings (Philipsson, Dommerholt, Fimland, Gaillard, Gjøl-Christensen, Lederer, McClintock and Mocquot, 1978), but in Britain no account is taken of calving interval or days dry. Analysis has shown (McClintock, 1982) that both these factors have a significant effect on yield, and hence further investigation into the value and methods of adjusting for these factors was required.


2018 ◽  
Vol 50 (7) ◽  
pp. 1493-1497 ◽  
Author(s):  
M. L. Longo ◽  
F. M. Vargas Junior ◽  
K. Cansian ◽  
M. R. Souza ◽  
P. C. Burim ◽  
...  

1999 ◽  
Vol 22 (2) ◽  
pp. 177-181
Author(s):  
Maria do Socorro Maués Albuquerque ◽  
Maria Armênia Ramalho de Freitas ◽  
Roberto Luiz Teodoro

Records of Gyr cows selected for milk production were obtained from the National Gyr Dairy Cattle Breeding Program (Embrapa/CNPGL) and analyzed, in order to estimate genetic parameters for the first three lactations and to verify the effects of some environmental factors on milk production from 1979 to 1994. Genetic parameters were estimated by REML with an animal model and a group of fixed effects that included classes of herd, year, season and age at calving. Milk production means and standard deviations were 2,183 kg, 707 kg; 2,682 kg, 762 kg and 2,638 kg, 851 kg, for first, second, and third lactations, respectively. Heritability estimates were 0.20, 0.12, and 0.19 for first, second, and third lactations, respectively, and repeatability was 0.44. Genetic correlation estimates were: 0.68 between first and second lactations, 0.84 between first and third lactations and 1.0 between second and third lactations. Results confirm other research for specialized dairy breeds and firmly suggest that even in breeds of Indian origin the best time to make selection decisions is during the first lactation.


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