Multiple-trait genomic evaluation for milk yield and milk quality traits using genomic and phenotypic data in buffalo in Brazil

Present study molecular characterization of exon 2 of TLR2 gene and its association with milk yield and milk quality traits in 104 Deoni cattle using PCR- RFLP technique was done. Polymorphism was observed through HaeIII, HhaI and EcoRV restriction enzymes in Created Restriction Site (CRS) exon 2-1, CRS exon 2-5 and exon 2-1 by PCR- RFLP, respectively. In CRS exon 2-1 allelic frequencies were observed as 0.793 for A and 0.206 for B alleles and that of genotypic frequencies were 0.58 and 0.41 for genotypes AA and AB. In CRS exon 2-5, two genotypes viz., AC and CC with corresponding allelic frequencies were observed as 0.221 for A and 0.778 for C allele and that of genotypic frequencies observed were 0.44 and 0.55 for AC and CC genotypes respectively. TLR2 exon 2-1 exhibited two alleles G and T with frequencies of 0.134 and 0.865 and their Corresponding genotypic frequencies were 0.009, 0.25 and 0.74for GG, GT and TT genotypes respectively. Higher count of somatic cells (SCC) in TT homozygous and TG heterozygous genotypes, and lower in GG homozygous genotypes were observed in exon 2-1. Strongly significant (P£0.01) effect for least squares means of Test Day milk yield (TDMY) and Somatic Cell Count of CRS exon 2-1 were observed.

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Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins

Journal of Dairy Science ◽

10.3168/jds.2011-4256 ◽

2011 ◽

Vol 94 (8) ◽

pp. 4198-4204 ◽

Cited By ~ 77

Author(s):

S. Tsuruta ◽

I. Misztal ◽

I. Aguilar ◽

T.J. Lawlor

Keyword(s):

Genomic Evaluation ◽

Multiple Trait ◽

Phenotypic Data ◽

Linear Type ◽

Type Traits

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Effect of Non Genetic Factors on Milk Yield and Milk Quality Traits in Jersey Crossbred Cattle

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2018.708.198 ◽

2018 ◽

Vol 7 (08) ◽

pp. 1733-1744

Author(s):

U.T. Mundhe ◽

D.N. Das ◽

R. Saravanan

Keyword(s):

Milk Yield ◽

Genetic Factors ◽

Milk Quality ◽

Quality Traits ◽

Crossbred Cattle

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Bayesian inference of genetic parameters for test-day milk yield, milk quality traits, and somatic cell score in Burlina cows

Journal of Applied Genetics ◽

10.1007/bf03208878 ◽

2010 ◽

Vol 51 (4) ◽

pp. 489-495 ◽

Cited By ~ 4

Author(s):

M. Penasa ◽

A. Cecchinato ◽

M. Battagin ◽

M. De Marchi ◽

D. Pretto ◽

...

Keyword(s):

Bayesian Inference ◽

Somatic Cell ◽

Milk Yield ◽

Genetic Parameters ◽

Milk Quality ◽

Somatic Cell Score ◽

Quality Traits

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Genetic parameters for buffalo milk yield and milk quality traits using Bayesian inference

Journal of Dairy Science ◽

10.3168/jds.2009-2621 ◽

2010 ◽

Vol 93 (5) ◽

pp. 2195-2201 ◽

Cited By ~ 24

Author(s):

R.R. Aspilcueta-Borquis ◽

F.R. Araujo Neto ◽

F. Baldi ◽

A.B. Bignardi ◽

L.G. Albuquerque ◽

...

Keyword(s):

Bayesian Inference ◽

Milk Yield ◽

Genetic Parameters ◽

Buffalo Milk ◽

Milk Quality ◽

Quality Traits

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Effects of Beta-lactoglobulin Gene Polymorphism and Some Factors on Milk Quality and Yield in Dairy Cattle of Kashmir, India

Asian Journal of Dairy and Food Research ◽

10.18805/ajdfr.dr-1700 ◽

2021 ◽

Author(s):

Ruksana M. Shah ◽

N.A. Ganai ◽

F.D. Sheikh ◽

H.M. Khan ◽

S. Shanaz ◽

...

Keyword(s):

Milk Yield ◽

Milk Composition ◽

Milk Quality ◽

Quality Traits ◽

Genotype Effect ◽

Holstein Friesian ◽

Pcr Rflp ◽

Fat Yield ◽

Jersey Cows ◽

Beta Lactoglobulin

Background: Polymorphisms in candidate beta-lactoglobulin genes are associated with traits of economic importance in cows and are related to milk composition, quality, production as well as cheese-production. The objective of the study was to evaluate the effects of breed, season and polymorphism on milk quality and yield in Jersey and Crossbred Holstein Friesian cows. Methods: The quality traits studied were fat %, lactose %, protein %, SNF, density and ash while quantity traits were average monthly milk yield, protein yield and fat yield. The beta-lactoglobulin gene exon IV (262 bp) was screened for polymorphisms by PCR-RFLP using BsuRI (Hae III) enzyme. Result: Our investigation revealed only two patterns AA and AB in both the breeds under study. BB genotype was absent. AA genotype was most abundant in Jersey cows (0.68) and crossbred HF cows (0.56). A allele frequency was highest in Crossbred HF cows (0.72) and Jersey cows (0.66). In Jersey genotype AB was observed to be responsible for high milk yield, protein and fat yield in each season whereas it was genotype AA of crossbred HF cows affecting milk yield, protein and fat yield. In crossbred HF cow, genotype effect was observed to be non-significant (p greater than 0.05) on all quality traits and effect of season was significant on lactose % and fat %. In Jersey cows, genotype and season effects were significant (P less than 0.05) on fat % concluding that the breed, season and genotype affectmilk quality and yield.

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Increasing Energy Ration of Bali Cattle to Improve Digestible Nutrient, Milk Yield and Milk Quality

International Research Journal of Engineering IT & Scientific Research ◽

10.21744/irjeis.v3i1.359 ◽

2017 ◽

Vol 3 (1) ◽

pp. 7

Author(s):

Ni Nyoman Suryani ◽

I Wayan Suarna ◽

Ni Putu Sarini ◽

I Gede Mahardika

Keyword(s):

Energy Intake ◽

Milk Production ◽

Milk Yield ◽

Milk Fat ◽

Block Design ◽

Parent Body ◽

Milk Quality ◽

Metabolizable Energy ◽

Increase Energy Intake ◽

Bali Cattle

To determine the effect of energy levels on digestible nutrient, milk production and milk quality of 7 months pregnant Bali cattle, was the purpose of this study. The study was conducted in Bali, Province of Indonesia on 12 pregnant breeding phase of pre-calving (2 months before the birth) with the parent body weight 329-340 kg/head. The treatment given is four types of Metabolizable Energy (ME) levels: 2000, 2100, 2200 and 2300/kg respectively as treatment A, B, C, and D. All ration contain 10% of crude protein. Variables measured: energy intake, digestible nutrient, milk yield, and milk quality. This research is a randomized block design. The results showed that increase energy ration until 2300 kcal ME/kg would significantly (P<0.05) increase energy intake and highest at cattle consumed ratio D is 22239.55 kcal/day. However, digestible nutrient was not affected. Milk production increased with increasing energy rations and highest (P<0.05) at cattle received treatment D is 2179.83 ml/day compared to treatment A 936.67 ml/day. Milk fat and milk lactose also highest (P<0.05) in treatment D are 8.56% and 4.76% respectively. Based on these results, it can be concluded that increase energy ration will increase energy intake, milk yield and milk fat and milk lactose of Bali cattle.

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Time-Related Mapping of Quantitative Trait Loci Underlying Tiller Number in Rice

Genetics ◽

10.1093/genetics/151.1.297 ◽

1999 ◽

Vol 151 (1) ◽

pp. 297-303 ◽

Cited By ~ 3

Author(s):

Wei-Ren Wu ◽

Wei-Ming Li ◽

Ding-Zhong Tang ◽

Hao-Ran Lu ◽

A J Worland

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Composite Interval Mapping ◽

Interval Mapping ◽

Tiller Number ◽

Multiple Trait ◽

Phenotypic Data ◽

Recombinant Inbred Population ◽

Trait Loci ◽

Final Observation

Abstract Using time-related phenotypic data, methods of composite interval mapping and multiple-trait composite interval mapping based on least squares were applied to map quantitative trait loci (QTL) underlying the development of tiller number in rice. A recombinant inbred population and a corresponding saturated molecular marker linkage map were constructed for the study. Tiller number was recorded every 4 or 5 days for a total of seven times starting at 20 days after sowing. Five QTL were detected on chromosomes 1, 3, and 5. These QTL explained more than half of the genetic variance at the final observation. All the QTL displayed an S-shaped expression curve. Three QTL reached their highest expression rates during active tillering stage, while the other two QTL achieved this either before or after the active tillering stage.

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