scholarly journals Correlation analysis of production traits of domestic Balkan goat

2008 ◽  
Vol 24 (3-4) ◽  
pp. 49-55 ◽  
Author(s):  
N. Memisi ◽  
M. Zujovic ◽  
V. Bogdanovic ◽  
M.P. Petrovic

The paper presents results of investigations of the domestic Balkan goat reared in the Sharplanina mountainous region pertaining to phenotypic correlations between the most important production traits (milk production traits for 578 goats), and growth traits of kids (for 710 kids in the suckling period). Research was done in herds of Balkan goats belonging to private farmers, during a two-year period. Simple correlation between mentioned traits were calculated using a PC and the LSMLMW program (Harvey, 1990). Data pertaining to correlation coefficients established between investigated milk production traits of the domestic Balkan goat, reflect existing correlations, which in most cases, were positive and statistically significant (P<0,01). Very strong correlations were established between the 1st and 2nd milk production control, as well as between the daily milk yield and the 2nd milk production control (0.796), as well as the total milk yield (0.870). Established coefficient were also statistically significant (P<0,01). Correlation between birth weight and the weight at specific ages (30, 60 and 90 days) were strong and very strong, while correlations between birth weight and average daily weight gain established by individual months (0.526, 0.553 and 0.384) varied between weak and strong, with an established weakening of correlations with advancing age.

2020 ◽  
Vol 17 (2) ◽  
pp. 141-154 ◽  
Author(s):  
F Ferdous ◽  
MP Choudhury ◽  
MO Faruque ◽  
MM Hossain ◽  
AKFH Bhuiyan

The current study was carried out using data of the Nucleus Herd and Community Herd of Red Chittagong Cattle (RCC) established through USDA funded Red Chittagong Cattle project under the Department of Animal Breeding and Genetics, BAU, Mymensingh. Data on 151 calves and 75 lactating cows were analyzed. The estimated heritability values were 0.45 ± 0.05 for birth weight, 0.48 ± 0.05 for weaning weight, 0.41 ± 0.08 for pre-weaning daily gain, 0.47 ± 0.06 for lactation length, 0.43 ± 0.07 for lactation milk yield and 0.35 ± 0.09 for average daily milk yield. The highest Breeding Value (BV) were for birth weight (3.2 kg), weaning weight (24.46 kg), pre-weaning daily gain (82.39g), lactation length (52.25 days), lactation milk yield (186.04 kg) and average daily milk yield (0.66 kg). The minimum and maximum phenotypic index values by using phenotypic parameters were for growth traits (1196.24 and 4713.24) and milk production traits (8573.93 and 40670.81). The minimum and maximum genetic index values by using breeding values were for growth traits (1812.49 and 2870.21) and milk production traits (-1812.49 and 2870.21). All the estimated index values can be used in animal selection and breeding programs for RCC improvement and similar index selection can be applied for other indigenous cattle development programs in Bangladesh or elsewhere. SAARC J. Agri., 17(2): 141-154(2019)


2007 ◽  
Vol 87 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Nilufer Sabuncuoglu ◽  
Omer Coban

The objectives of this study were to determine the relationship between udder floor area (UFA) and milk production traits in dairy cows, pre- and post-milking, as well as to examine the usefulness of a simple method of measuring UFA. The absolute reduction (AR, cm2) and relative reduction (RR, %) in UFA post-milking relative to pre-milking was calculated. Absolute reduction was influenced by breed and lactation stage, but not by parity of the cows (P < 0.05). There was no effect of breed and stage of lactation on the RR of UFA. Moderate correlations were observed between absolute reduction of UFA and daily milk yield (r2 = 0.422), lactation milk yield (r2 = 0.426), and absolute fat yield (r2 = 0.515) (P < 0.01 and P < 0.05). Moderate and weak correlations were found between RR of UFA and daily milk yield (r2 = 0.335) (P < 0.01), AR of the udder area and the 305-d lactation milk yield (r2 = 0.326) (P < 0.10). It was concluded that measuring UFA using the method described may be useful for the selection of dairy cattle mammary conformation traits. Key words: Dairy cow, udder and teat conformation, milk production traits, measurement technique


Author(s):  
Andrea Szentléleki ◽  
Jeremy Hervé ◽  
Ferenc Pajor ◽  
Daniel Falta ◽  
János Tőzsér

The aim of this study was to evaluate the change of temperament of Holstein cows scored before and during milking during the entire lactation and to calculate correlation between temperament measured in the two moments as well as milk production traits and temperament. Observations were carried out on 17 primiparous Holstein Friesian cows starting their lactation within 85 days. Measurements of temperament and milk production traits were taken once in each month of the lactation, during the morning milking, in a milking parlour. Temperament was assessed in a 5-point scale during udder preparation and milking procedure (1: very nervous, 5: very quiet). Data of milk yield and milk flow were collected individually on each test day morning. Results showed changes during the lactation in temperament of cows scored directly before milking (P < 0.01), however, temperament during milking did not alter with months (P > 0.10). By correlation coefficients, behaviour assessed in the two moments cannot be regarded as the same. In addition loose, significant relations were found only between milk traits and temperament before milking.


Author(s):  
Aswah Ridhowi ◽  
Hsiu-Luan Chang ◽  
Chia-Lin Liang ◽  
Suyadi . ◽  
Ming-Che Wu

This study proposed to identify a polymorphism in the IL8 gene in Holstein cows and analyze the relationship with milk production traits in Taiwanese Holstein cows. Investigations were done for single nucleotide polymorphism at position 2862 and the impact of IL8-T2862C polymorphism on the milk production traits of 68 Holstein cows was randomly analyzed by fixed effects model. No significant difference was found between genotypes for 305-2X-ME, fat%, protein%, total solid%, and somatic cell counts score (SCS). Significanteffects were observed on daily milk yield (MY), SCC (p>0.05), and lactose% (p>0.01). Cows with the CC genotype had less SCC compared with CT and TT ones. The allelic substitution effect was 0.70 kg daily milk yield for IL8 favorable allele T (p>0.05), and 3.24 x 104 cells/mL SCC for IL8favorable allele C (p>0.01). Significant dominance effects of IL8-T2862C on daily milk yield (1.22 kg,p>0.05) and lactose% (+0.07%, p>0.01) were found.


Author(s):  
Akhilesh Pandey and M.S.Thakur

The aim of this study was to know the polymorphic variants and their association with milk production traits in Malvi and Nimari cattle of Madhya Pradesh at áS2 casein gene (CSN1S2) gene locus. The PCR amplified products of 1267 base pair (bp) length were digested by restriction endonuclease enzyme EcoRV, which recognizes GAT^ATC sites. The 1267bp product was cut into two fragments of sizes 1150bp and 117bp. All the tested samples yielded different results. Absence of restriction site at both the alleles that resulted in the appearance of single compact bands of size 1267bp was referred to as genotype AA. The samples exhibiting three fragments (1267bp/ 1150bp/ 117bp) were denoted as genotype AB. The RFLP analysis carried out in above both of the breeds of cattle revealed dissimilar genotypic patterns. AA and AB genotypes were observed in Malvi and Nimari . The genotypic and gene frequencies of AA, AB and BB genotypes of áS2-casein gene (CSN1S2)/EcoRV locus was found to be 0.44, 0.56 and 0.00 in Malvi; 0.68, 0.32 and 0.00 in Nimari and the respective gene frequency for A and B alleles were found to be 0.72 and 0.28 in Malvi; 0.84 and 0.16 in Nimari. The frequency of A allele was found to be highest as compared to B allele in all the four breeds of cattle under the study. Chi-square values for testing correspondence between observed and expected genotypic frequencies at this locus were found to be non-significant in Malvi and Nimari breeds of cattle. The above result indicated that the populations of animals of above both breeds were in Hardy-Weinberg equilibrium at this locus. The association of polymorphic variants of áS2-casein gene (CSN1S2)/EcoRV in Malvi and Nimari breeds of cattle with milk yield per lactation (L), daily milk yield (L) showed the non significant difference was observed between mean MY(L) of AA and AB genotype of Malvi and Nimari and With respect of daily milk yield the Nimari. However, the Nimari breed showed significantly higher daily milk yield than the Malvi breed of cattle.


2017 ◽  
Vol 84 (4) ◽  
pp. 430-433 ◽  
Author(s):  
Jun Li ◽  
Aixin Liang ◽  
Zipeng Li ◽  
Chao Du ◽  
Guohua Hua ◽  
...  

This Research Communication describes the association between genetic variation within the prolactin (PRL) gene and the milk production traits of Italian Mediterranean river buffalo (Bufala mediterranea Italiana). High resolution melting (HRM) techniques were developed for genotyping 465 buffaloes. The association of genetic polymorphism with milk production traits was performed and subsequently the effects of parity and calving season were evaluated. Single nucleotide polymorphisms (SNPs) were identified at exons 2 and 5 and at introns 1 and 2. All the SNPs were in Hardy–Weinberg equilibrium, and statistical analysis showed that the polymorphism of intron1 was significantly (P < 0·05) associated with milk yield, milk protein content and peak milk yield. The average contribution of the intron1 genotype (r2intron1) to total phenotypic variance in milk production traits was 0·09, and the TT genotype showed lower values than CC and CT genotypes. A nonsynonymous SNP was identified in exon 2, which resulted in an amino acid change from arginine to cysteine. Moreover, the polymorphism of exon 2 was associated significantly with milk fat content (P < 0·05), and the buffaloes with TT genotype showed higher total fat content than the buffaloes with CT genotype. These findings provide evidence that polymorphisms of the buffalo PRL gene are associated with milk production traits and PRL can be used as a candidate gene for marker-assisted selection in Italian Mediterranean river buffalo breeding.


Genetics ◽  
1996 ◽  
Vol 144 (4) ◽  
pp. 1809-1816 ◽  
Author(s):  
Jianbo Yao ◽  
Samuel E Aggrey ◽  
David Zadworny ◽  
J Flan Hayes ◽  
Urs Kühnlein

Sequence variations in the bovine growth hormone (GH) gene were investigated by single strand conformation polymorphism (SSCP) analysis of seven amplified fragments covering almost the entire gene (2.7 kb). SSCPs were detected in four of these fragments and a total of six polymorphisms were found in a sample of 128 Holstein bulls. Two polymorphisms, a T→C transition in the third intron (designated GH4.1) and an A→C transversion in the fifth exon (designated GH6.2), were shown to be associated with milk production traits. GH4.1c/GH4.1c bulls had higher milk yield than GH4.1c/GH4.1t (P ≤ 0.005) and GH4.1t/GH4.1t (P ≤ 0.0022) bulls. GH4.1c/GH4.1c bulls had higher kg fat (P ≤ 0.0076) and protein (P ≤ 0.0018) than GH4.1c/GH4.1t bulls. Similar effects on milk production traits with the GH6.2 polymorphism were observed with the GH6.2a allele being the favorable allele. The average effects of the gene substitution for GH4.1 and GH6.2 are similar, with ±300 kg for milk yield, ±8 kg for fat content and ±7 kg for protein content per lactation. The positive association of GH4.1c and GH6.2a with milk production traits may be useful for improving milk performance in dairy cattle.


2018 ◽  
Vol 41 (1) ◽  
pp. 42552
Author(s):  
Fatima Kouri ◽  
Salima Charallah ◽  
Amina Kouri ◽  
Zaina Amirat ◽  
Farida Khammar

 This research aims to assess the performances of lactating Bedouin goat under arid conditions, focusing on the relationship of milk yield with body and udder morphology and growth traits. Fourteen goats and their kids were followed during early lactation (90 days post-partum). Mean daily milk yield was 0.56 kg. Milk fat, proteins, lactose, solids non-fat and minerals were respectively 34.9, 38.9, 48.8, 107 and 6.7 g L-1. Mean kids’ birth weight, adjusted body weight at 90 days of age and average daily gain were respectively 2 kg, 6.6 kg and 51.4 g day-1. Daily milk yield was correlated with goats’ body weight, withers height, rump height, udder width and udder circumference but not with linear udder score and growth performances. These results provide important data about the milk production of Bedouin goat emphasizing its correlation with body and udder morphological traits which can help to elaborate a specific breeding program for this breed. 


2020 ◽  
Vol 60 (3) ◽  
pp. 347
Author(s):  
Adel H. M. Ibrahim ◽  
Nikolaos Tzanidakis ◽  
Smaragda Sotiraki ◽  
Huitong Zhou ◽  
Jonathan Hickford

Context Genetic selection based on genetic markers for economically important traits in Sfakia sheep. Aims The aim of the present study was to investigate variation in the ovine myostatin gene (MSTN) and calpain 3 gene (CAPN3), and their association with milk-production traits. Methods Records for milk yield, milk fat content, protein content, lactose content, and non-fat solid content, pH and somatic-cell score (log), were obtained from 376 Sfakia ewes. Polymerase chain reaction–single-strand conformational polymorphism (PCR–SSCP) analyses were used to detect variation in intron 1 of MSTN and exon 10 of CAPN3. General linear models were then used to test for associations between the variation in MSTN and CAPN3, and milk-production traits. Key results The SSCP banding patterns for MSTN showed four variants (A1, A2, A3 and A4), which contained nine nucleotide sequence differences. Four SSCP banding patterns (C1, C2, C3 and C4) were observed for CAPN3 and these contained eight nucleotide-sequence differences. The MSTN variation was associated (P &lt; 0.05) with variation in milk yield and non-fat milk solid content. Variation in CAPN3 was associated with milk yield (P &lt; 0.001), fat content (P &lt; 0.05) and lactose content (P &lt; 0.05). Association analyses between the presence/absence of MSTN and CAPN3 variants and milk-production traits showed that a variant of MSTN that had previously between associated with muscle hypertrophy was associated with decreased milk yield (P &lt; 0.05) and a lower non-fat milk solid content (P &lt; 0.01). A CAPN3 variant that had previously been associated with increased sheep-carcass loin lean-meat yield was associated with a decreased milk yield (P &lt; 0.01) and a decreased milk fat content (P &lt; 0.05). Conclusions Our results have provided an insight into the effects of variation in ovine MSTN and CAPN3 on milk-production traits in sheep. Implications To preserve the dual-purpose characteristics of Sfakia sheep, breeding goals should take into account the possible antagonism between meat and milk traits.


2019 ◽  
Vol 86 (1) ◽  
pp. 19-24
Author(s):  
Hossein Naeemipour Younesi ◽  
Mohammad Mahdi Shariati ◽  
Saeed Zerehdaran ◽  
Mehdi Jabbari Nooghabi ◽  
Peter Løvendahl

AbstractThe main objective of this study was to compare the performance of different ‘nonlinear quantile regression’ models evaluated at theτth quantile (0·25, 0·50, and 0·75) of milk production traits and somatic cell score (SCS) in Iranian Holstein dairy cows. Data were collected by the Animal Breeding Center of Iran from 1991 to 2011, comprising 101 051 monthly milk production traits and SCS records of 13 977 cows in 183 herds. Incomplete gamma (Wood), exponential (Wilmink), Dijkstra and polynomial (Ali & Schaeffer) functions were implemented in the quantile regression. Residual mean square, Akaike information criterion and log-likelihood from different models and quantiles indicated that in the same quantile, the best models were Wilmink for milk yield, Dijkstra for fat percentage and Ali & Schaeffer for protein percentage. Over all models the best model fit occurred at quantile 0·50 for milk yield, fat and protein percentage, whereas, for SCS the 0·25th quantile was best. The best model to describe SCS was Dijkstra at quantiles 0·25 and 0·50, and Ali & Schaeffer at quantile 0·75. Wood function had the worst performance amongst all traits. Quantile regression is specifically appropriate for SCS which has a mixed multimodal distribution.


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