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Revista mexicana de ciencias pecuarias

versión On-line ISSN 2448-6698versión impresa ISSN 2007-1124

Rev. mex. de cienc. pecuarias vol.12 no.2 Mérida abr./jun. 2021  Epub 15-Nov-2021

https://doi.org/10.22319/rmcp.v12i2.5600 

Articles

Physicochemical composition, yield and sensory acceptance of Coalho cheese obtained from Zebu’s cow milk

Ingrid Laíse Silvestre de Oliveiraa 

Adriano Henrique do Nascimento Rangela 

Rodrigo Coutinho Madrugab 

Dorgival Morais de Lima Júniorc 

Rhaabe Dayane da Silva Gomesa 

Danielle Cavalcanti Salesa 

Juliana Paula Felipe de Oliveirad 

Joadilza da Silva Bezerrae 

a Universidade Federal do Rio Grande do Norte (UFRN), Unidade Acadêmica Especializada em Ciências Agrárias, Macaíba, Brazil.

b Associação Brasileira dos Criadores de Zebu (ABCZ), Brazil.

c Universidade Federal Rural do Semi-Árido (UFERSA), Departamento de Ciencias Animais. Massoró, Brazil.

d Universidade Federel Rural de Pernambuco, Departamento de Zootecnia. Recife, Brazil.

e Universidade Federal Rural de Pernambuco (UFRPE), Departmento de Morfologia e Fisiologia Animal, Recife/PE, Brazil.


Abstract

The aims were to evaluate the effect of breed on the genetic polymorphism kappa-casein, physicochemical composition of milk and Coalho cheese, and on cheese yield; and to evaluate the effect of different periods of storage on sensorial acceptance of the Coalho cheese obtained from milk of Guzerat, Gyr and Sindi cows. Twenty (20) cows of Zebu breeds were selected, from which it was obtained the frequency values of the genetic polymorphism kappa-casein. Milk were submitted to fat, protein, lactose, non-fat solids and total solids, electrical conductivity analysis and somatic cell count. Cheeses were submitted to fat, protein, total solids, pH, moisture and yield (g TS/L) analysis. Attributes appearance, aroma, texture and flavor were judged at the 1st, 25th and 46th day of storage. There was a total frequency of 0.70 for genotype AA, 0.30 for genotype AB. There was no significant difference in milk composition among the studied breeds. However, there were differences in the physicochemical composition (with the exception of the protein) and the yield of the cheeses, but all the breeds showed a similar real yield. It was found effect of the storage period on the cheeses sensory attributes in the different breeds, with the exception of the appearance. The milk of the Guzerat, Gyr and Sindi breeds constitute an excellent raw material for the production of curd cheese and ensures a satisfactory sensorial acceptance of the product at the 1st, 25th and 46th days of storage.

Key words Bos taurus indicus; Breed; Consumer; Dairy product; Storage

Resumen

Los objetivos fueron evaluar el efecto de la raza sobre el polimorfismo genético de la kappa-caseína, la composición fisicoquímica de la leche y del queso Coalho, y el rendimiento del queso, así como evaluar el efecto de diferentes periodos de almacenamiento sobre la aceptación sensorial del queso Coalho obtenido a partir de leche de vacas Guzerat, Gyr y Sindi. Se seleccionaron veinte (20) vacas de razas cebú y se obtuvieron sus valores de frecuencia del polimorfismo genético de la kappa-caseína. La leche se sometió a un análisis de grasa, proteína, lactosa, sólidos no grasos y sólidos totales, conductividad eléctrica y cuenta de células somáticas. Los quesos se sometieron a análisis de grasa, proteína, sólidos totales, pH, humedad y rendimiento (g ST/L). Se evaluaron los atributos apariencia, aroma, textura y sabor en los días 1, 25 y 46 de almacenamiento. La frecuencia total fue de 0.70 para el genotipo AA y 0.30 para el genotipo AB. No hubo diferencias significativas en la composición de la leche entre las razas estudiadas. Sin embargo, hubo diferencias en la composición fisicoquímica (exceptuando la proteína) y el rendimiento de los quesos; pero todas las razas mostraron un rendimiento real similar. El periodo de almacenamiento tuvo efectos observables sobre los atributos sensoriales de los quesos en las diferentes razas, con la excepción de su apariencia. La leche de las razas Guzerat, Gyr y Sindi constituye una excelente materia prima para la producción de cuajada y garantiza una aceptación sensorial satisfactoria del producto a los días 1, 25 y 46 de almacenamiento.

Palabras clave Bos taurus indicus; Raza; Consumidor; Producto lácteo; Almacenamiento

Introduction

Zebu cattle (Bos taurus indicus) were imported from India to Brazil in the 19th century. It represents more than 80 % of the national herd1 due to its adaptability and performance in tropical climate conditions and has important participation in the success of cattle ranching in the country.

Zebu cows make up the bulk of the Brazilian dairy herd, including their crosses with specialized breeds (Bos taurus taurus) for milk production, especially the Dutch breed2. Brazil is the largest investor in genetic improvement of zebu cattle in the world3, involving strategic projects for genetic improvement of zebu animals with milk aptitude, mainly Gyr and Guzerat. Current stock data for actions such as these show that the production means at 305 d of the Gyr, Guzerat and Sindi breeds are 11.25 kg4, 7.46 kg5, and 5.59 kg6, respectively.

Milk production and quality characteristics are directly influenced by environmental factors, nutrition, genetics and by the animal’s own physiology7. Breed is a genetic factor with a relevant effect on the productive performance of dairy animals. The physiology of a specialized cow for milk production enables it to produce in large volume, but with low solids concentration, unlike a pure zebu cow with milk aptitude. This occurs because the production level of the cow is negatively related to the fat, protein and total solids percentages of the milk8,9.

Milk proteins can be classified into caseins and whey proteins. Caseins make up approximately 80 % of the milk proteins and are subdivided into 4 fractions: α1, α2, β and K. In the bovine species, genetic markers are used for selecting animals by determining gene pairs (A and B), which are present in milk caseins, such as kappa-casein. In general terms, the A allele has a significant effect on milk production and B allele on protein and fat concentration, resulting in a better yield of dairy products10. Several polymorphisms have been found for this protein, which is responsible for stabilizing the milk against heat treatments and clot formation11.

The possibility of using milk to obtain dairy products is an important opportunity to add value to raw milk, diversify the product portfolio, and boost the competitiveness and profitability of the sector. Coalho cheese is a traditional dairy derivative of the culture of the Northeast Region of Brazil. It is a cheese obtained by a fermentation and coagulation process of raw or pasteurized milk. Cured cheeses from zebu breeds can already be found in the market, which shows the dairy potential of these breeds for cheese production. However, there are few studies on cheese obtained from zebu milk. Sensory evaluation is the most common method to analyze food quality12. The sensorial attributes of products can be measured via specific tests, identifying the importance of each of them for their acceptance by consumers13.

Therefore, the aims were to evaluate the effect of breed on the genetic polymorphism kappa-casein, physico-chemical composition of milk and Coalho cheese, and on cheese yield; and to evaluate the effect of different periods of storage on sensorial acceptance of the Coalho cheese obtained from milk of Guzerat, Gyr and Sindi cows.

Material and methods

Determination of the genetic polymorphism of kappa-casein

The steps between the DNA extraction and capillary electrophoresis were developed at the Central Gene Genetics Laboratory of Animal Genotyping Ltda (Belo Horizonte, Minas Gerais, Brazil) using in-house developed protocols.

The genomic DNA was extracted from the capillary bulb of each animal, producing a total of 22 samples. Buffered solutions containing a detergent and the tris-hydroxymethyl aminomethane (Tris), sodium chloride (NaCl) and ethylene diamine tetra acetic acid (EDTA) reagents were used for cell lysis.

After the DNA extraction, the samples were submitted to the polymerase chain reaction (PCR) technique of the STR regions, using a Veriti™ thermal cycler (Applied Biosystems, Forster City, CA, USA). Microtubes containing the necessary reagents for the enzymatic reaction were placed in the thermocycler: DNA fragments extracted from the capillary bulb, DNA-free water, deoxyribonucleotide triphosphates (dNTPs), oligonucleotide primers, DNA polymerase enzyme, magnesium and buffer solution. The primers used in the reaction were made by Life Technologies.

The amplified DNA fragments were subjected to capillary electrophoresis in a laser-induced fluorescence automated system (ABI Sequencer 3500xL) to verify the quality and concentration of DNA in each sample. The band reading was performed using GeneMapper Software®.

The fragments were induced to migrate by capillary electrophoresis, and then aligned based on size and detected by a laser beam. In the same run molecular weight standards and AA, AB and BB known samples were applied.

Finally, genotypic and allelic frequencies were obtained for the three evaluated breeds after identifying the genetic polymorphisms of the kappa-casein gene by the PCR technique.

Raw material collection

Raw milk for producing Coalho cheese was obtained from Guzerat (n= 3), Gyr (n= 7) and Sindi (n= 10) females. The collection procedure for analyzing the physicochemical composition of the milk was performed manually using a properly sanitized stainless steel ladle after homogenization of the milk. The samples were conditioned in plastic bottles with a volume of 40 mL, identified individually, and kept in a thermal container with ice to preserve the temperature between 4 and 7 °C until the analysis procedure in the milk quality laboratory of the Federal University of Rio Grande do Norte. Fifteen liters of milk from each breed were also collected for producing Coalho cheeses, which were kept in isothermal containers and sent to the Dairy Processing Unit (DPU) of UFRN.

Coalho cheese production

Cheese production of the three breeds was carried out following the same technological manufacturing process, which was carried out at DPU of UFRN.

Milk samples from the three breeds for producing the cheeses were separately subjected to LTLT pasteurization (low temperature, long time 65°C/30 min). After thermal processing, they were cooled to 35 °C for rennet addition (Renin). After homogenization of the ingredients (milk and rennet), the mass was rested for 40 min until reaching the curd point, before cutting. The curd was subsequently heated under manual stirring to 45 °C. Then the whey was partially removed for salting the curd. The pre-pressing and forming procedures were carried out in the form itself for subsequent pressing and turning the curd. The cheese production process is shown in Figure 1. The process was finished with the vacuum cheese packaging and stored at 4 °C in a cooling chamber. The raw material, ingredients and packaging used for the cheese production were handled according to good dairy manufacturing practices.

Figure 1 Flow diagram for the production of Coalho cheese 

Physicochemical analyzes of milk

The milk from the three breeds was analyzed for the fat, protein, lactose, solids-not-fat (SNF) and total solids (TS) percentages by the infrared absorption method in DairySpec FT® equipment (Bentley Instruments Inc., Chaska MN, USA). The electrical conductivity of the milk was measured using a Quimis® digital conductivity meter - ISO 9001 (SP, BR). The Somatic Cell Count (SCC) was estimated using the Somaticell® kit (Madasa, São Paulo, Brazil), following the manufacturer’s recommendations. The SCC value varied from 69,000 cells/mL to 1’970,000 cells/mL.

Physicochemical analyzes of cheese

After producing the cheeses, 10 grams of each sample were removed and shredded in a Philipis Walita® blender (R12134) to reduce the particles, which were then submitted to physicochemical analysis of protein, fat, total solids, ash and pH. Protein percentage was determined based on the procedure of Cecchi14. The fat content was determined by extracting the petroleum ether solvent at 90 °C for 1 h using a Ankom® XT15 Extractor (NY, USA), following the equipment instructions. The percentage of total solids of the samples was established by the oven drying method at 105 °C for 6 h and the ashes determined by combustion of the organic matter in muffle furnace at 600 °C for 4 h15. The pH of the cheeses was determined using a previously calibrated Lucadema® 210 pH meter (SP, BR) with three readings per sample. All physicochemical analyzes of the cheeses were carried out at 46 d of maturation.

Calculation of Coalho cheese yield

The yield of cheeses was expressed in grams of total cheese solids per liter of milk (g TS/L) and calculated by the formula16:

YgTSL=W x ST x 10V

In which, Y= yield; W= kilos of cheeses obtained; TS= Total solids percentage of cheeses; V= milk volume used.

Sensory analysis

The sensorial acceptance test of the Coalho cheese samples was carried out at the Agricultural Sciences Unit - Jundiaí Agricultural School (EAJ), Federal University of Rio Grande do Norte (UFRN) campus, conducted with 60 untrained female and male participants (18 to 60 yr old) who judged the attributes of appearance, aroma, texture and taste of the Coalho cheeses on the 1st, 25th and 46th days of shelf life. The evaluator selection was performed based on voluntary consent and the absence of allergic reactions to milk and dairy products. The sensory evaluation of Coalho cheese samples was carried out using a hedonic scale of 9 points, anchored at extremes 1 (I highly disliked it) and 9 (I liked it very much)17.

The tests were carried out by the participants individually in an environment with controlled humidity and temperature (air-conditioned room with air conditioning) in which white light was used, thus ensuring the ideal environmental conditions for conducting sensory analysis.

The participants were instructed on all the procedures for conducting the tests before beginning the evaluations. A small portion of a low-salt cracker and a portion of still water at room temperature was offered to be consumed between different samples to clean the palate and remove any residual taste. The Coalho cheese samples (25 g) intended for the tests were kept in ice isothermal boxes until they were served to the tasters in 50 ml white disposable plastic cups. Samples were coded with numbers composed of three random digits using a random number table.

Data analysis

Data analysis was performed using descriptive statistics by mean and standard deviation. The analysis of variance (ANOVA) of the data was performed to evaluate the effect of breed on the physical-chemical characteristics of the milk and cheeses, and on cheese yield. Each evaluator assigned their preference for the sensorial acceptance evaluations of cheeses by acceptability testing and the results were determined by means of the final average score of the scores presented by the judges to the different evaluated attributes in the sensorial analysis and submitted to analysis of variance (ANOVA). The Tukey test was used at 5% significance to compare the means of all analyzes using SAS software (version 9.0).

Results and discussion

Genetic polymorphism of kappa-casein

The frequency values of the kappa-casein genetic polymorphism in the Guzerat, Gyr and Sindi breeds are shown in Table 1. There was a total frequency of 0.70 (n= 14) for genotype AA, 0.30 (n= 6) for genotype AB, and 0 for genotype BB. No homozygous BB genotypes were found in this study. These results are in agreement with those reported in other studies, in which they showed a higher frequency of the AA and AB genotypes, and no observation of the BB homozygote in dairy breeds18,19.

Table 1 Distribution of the polymorphism frequency of the kappa-casein gene for the analyzed breeds 

Breed Kappa-casein polymorphism Alleles
AA AB BB A B
Guzerat 0.66 0.33 - 0.83 0.17
Gyr 1 0 - 1 0
Sindi 0.50 0.50 - 0.75 0.25
Total 0.70 0.30 - 0.85 0.15

The highest frequency of the A allele in Brazilian zebu herds may be due to the origin of the animals and to selecting meat production at the beginning of their exploitation20, since Indian zebu animals have a higher frequency of the B allele when compared to the Brazilian averages. Another factor is the number of animals at the effective herd level being selected. Homozygous animals are possibly being chosen for the A allele or using the heterozygotes in smaller proportions.

The polymorphism frequency of the kappa-casein gene for the B allele of the three breeds is close to that reported by others21. The authors analyzed the genetic polymorphism of kappa-casein in Brazilian zebu animals and found a frequency of 30 %, 1-10 % and 18 % of B allele in Sindi (n= 55), Gyr (n= 150) and Guzerat (n= 69), respectively. The selection of AB or BB animals in the kappa-casein genotype is important for dairy derivative production, since the B allele correlates with milk chemical composition parameters, mainly fat and protein, and promotes an increase in yield and cheese quality10.

The cheese yield of cows with genotype BB is higher in comparison to the milk from AA cows, and variant B is determinant in the efficiency process in milk coagulation time. The kappa-casein BB gene pair is correlated to higher processing characteristics, where cows with BB genotype for kappa-casein obtain shorter coagulation time for cheeses, higher density curd formation due to smaller micelle size, as well as higher cheese yield in relation to the milk from cows with AA genotype for kappa-casein22,23. Thus, this variant can be used as a selection criterion in breeding programs on farms with a cheese-based purpose.

The B allele also has a positive influence on milk protein and fat content24,25; however, as in the present work, some reserchers26,27 found no effect on the protein percentage produced in animals of different genotypes.

Confirming the mentioned studies, the Sindi breed obtained the highest frequency of the B allele (25 %) when compared to the other breeds. This result may have implied the highest percentage of fat and total solids and yield in the cheese obtained from milk of Sindi breed.

Physicochemical evaluation of milk from zebu cows

The Table 2 shows the means and standard deviation for the physicochemical composition of the milk of the three breeds. There was no significant difference (P>0.05) for milk composition among the studied breeds. Similar results between the breeds can be attributed to the same management conditions employed and the similar genetic potential for milk composition.

Table 2 Physicochemical composition of the milk from the Guzerat, Gyr and Sindi zebu breeds 

Item Breed P-value
Guzerat Gyr Sindi
Fat, % 5.14 + 1.08 4.81 + 0.67 5.35 + 1.06 0.14
Protein, % 3.12 + 0.48 3.13 + 0.34 3.16 + 0.37 0.24
Lactose, % 4.66 + 0.71 4.68 + 0.51 4.72 + 0.56 0.21
SNF, % 8.51 + 1.29 8.52 + 0.92 8.60 + 1.02 0.12
TS, % 14.16 + 1.8 13.98 + 1.41 14.65 + 1.79 0.18
SCC,103/mL 333.33 + 348.53 243.10 + 248.77 256.87 + 444.65 0.62
ELC, mS/cm 3.94 + 0.33 4.07 + 0.35 3.81 + 0.32 0.34

SNF= Solids-Not-Fat; TS= Total solids; SCC= Somatic cell count; ELC= Electrical conductivity.

Because there is no difference between the breeds, especially in fat and protein percentages, there is similar potential of the three breeds to produce these components. The total solids concentration in milk stands out as the main basis for paying for quality in most countries with a high development rate and in some places in Brazil.

In studying electrical conductivity (ELC) and somatic cell counts (SCC) of zebu cow milk, Moura et al28 found higher values than those reported in the present study, which found 1’629,000 cells/mL for the Gyr breed and 1’356,000 cells/mL for the Guzerat breed, but the results found for ELC are close with results of 3.88 and 3.59 mS/cm for the Gyr and Guzerat breeds, respectively.

Physicochemical evaluation of dairy cheeses from zebu cows

Table 3 shows the mean values for physicochemical composition of the Coalho cheese from the Guzerat, Gyr and Sindi zebu breeds. The results demonstrate that the protein content was similar for the evaluated cheeses (P>0.05). The cheese from the Sindi breed presented higher fat and total solids percentages, as well as a higher pH value when compared to those obtained from the milk of the other breeds. On the other hand, the Guzerat cheese obtained lower fat concentration and higher ash concentration, while the Gyr breed had a lower pH value. The fat percentage expressed in relation to the total solids avoids measurement errors in the yield occurring due to moisture loss. Described on a dry basis, the fat values of the cheeses respectively correspond to: 48.12 %, 53.79 % and 54.83 % for the Guzerat, Gyr and Sindi breeds. Thus, the results found are within those established by legislation for Coalho cheese29, which defines between 35 to 60 % of fat in total solids as standard values. The regulation further states that Coalho cheese may be defined as semi-fat (25.0 to 44.9 %), fat (45.0 to 59.9 %) or extra fat (minimum of 60.0 %) in relation to fat content, and therefore the cheeses in this study are classified as fatty cheeses.

Table 3 Physicochemical composition and yield of Coalho cheese from the Guzerat, Gyr and Sindi zebu breeds (Mean + SD) 

Item Breed P-value
Guzerat Gyr Sindi
Fat, % 24.26 + 0.51c 27.77 + 0.73b 32.23 + 1.26a <0.05
Protein, % 18.77 + 0.83 17.93 + 1.39 17.91 + 0.55 0.15
Total solids, % 50.41 + 1.06b 51.62 + 0.07b 58.78 + 1.13a <0.05
Ashes, % 3.30 + 0.01a 2.58 + 0.24b 2.49 + 0.30b <0.05
pH 6.92 + 0.02b 6.28 + 0.05c 7.16 + 0.14a <0.05
Yield, g TS/L 82.25c 83.33b 93.68a <0.05

g TS/L: grams of total solids per liter.

abc Means in the same line with different letters represent differences (P<0.05).

The Sindi breed presented a higher percentage of total solids (TS) in the cheese, conferring greater potential for yield (g TS/L) in producing the derivative. There is still no regulation to standardize the physicochemical parameters of protein and ash, since the production process of most Coalho cheeses is still artisanal.

The pH values ranged from 6.28 to 7.16. These results were higher than those found by Araújo and Nassu30 in evaluating the pH of industrialized and artisanal Coalho cheese, which varied from 5.10 to 5.80. The Sindi cheese had the highest pH (7.16).

The Sindi breed obtained higher (P<0.05) performance in the Coalho cheese yield (g TS/L) due to the higher total solids concentration present in the milk. However, by analyzing the real yield (l/kg), all breeds obtained similar yield, using 6.13 (Guzerat), 6.05 (Gyr) and 6.27 (Sindi) liters of milk to produce 1kg of cheese, thereby confirming the potential of all breeds for cheese production.

Sensory evaluation of milk Coalho cheese from zebu cows

The results obtained from sensory analysis of the Coalho cheese of the three zebu breeds at different storage periods are presented in Table 4. The sensory scores varied from 6.32 (slightly liked) to 7.98 (moderately enjoyed). Coalho cheeses of different breeds presented similar appearance during the storage period (P>0.05).

Table 4 Sensory scores obtained on the acceptance test of Coalho cheese from zebu milk at different storage periods (Means+ SD) 

Breed Day Sensorial Parameters
Appearance Aroma Texture Flavor​
Guzerat 1 7.18+1.50 6.58+1.53c 7.56+0.98abc 7.70+1.27a
25 7.31+1.48 6.81+1.60bc 7.55+1.18abc 6.51+1.47bc
46 7.38+1.13 7.37+1.10abc 7.71+0.99ab 6.83+1.46bc
Gyr 1 7.64+1.15 6.84+1.48bc 7.85+1.02a 7.98+1.03a
25 7.59+1.23 7.67+1.01a 7.16+1.53abc 6.44+1.49c
46 7.63+0.98 7.58+0.99ab 7.05+1.32bc 6.57+1.44bc
Sindi 1 7.60+1.26 6.72+1.56c 7.46+1.19abc 7.28+1.47ab
25 7.36+1.28 6.91+1.51abc 6.96+1.33c 6.32+1.41c
46 7.52+1.15 7.19+1.47abc 6.91+1.37c 6.60+1.63bc
p-value 0.12 <0.05 <0.05 <0.05

abc Means in the same column with different letters are different (P<0.05).

On the first day of storage, it was observed that the cheeses obtained from the milk of the different studied breeds were similar in appearance, aroma and flavor (P>0.05), while only the texture of the Guzerat Coalho cheese (7.71) differed (P<0.05) from Sindi cheese (6.91) at 46 d of storage, reaching a higher score. The aroma of cheeses on the first day of storage had lower sensory scores (slightly appreciated), possibly due to the effect of coagulant proteolysis which may affect the availability of amino acids for enzymatic degradation31. Different aromatic compounds are generated throughout the storage period during cheese maturation due to several biochemical reactions32,33.

Cheeses made with cow milk from the Guzerat and Sindi breeds reached similar sensory acceptance (P>0.05) for the texture attribute during the whole evaluation period, while the cheese made with milk from Gyr cows showed the lowest acceptance (7.05) at 46 d of storage (P<0.05) than on the first day (7.85). According to Ordoñez34, proteolysis causes changes in the texture and consistency of cheeses, which progressively loses its protein structure over the passage of time, thereby conferring greater softness. Another aspect to be considered is that the Coalho cheese is characterized by the firm and “rubbery” consistency due to the aggregation of the fat molecules in the casein micelles, forming a kind of sponge, so that Coalho cheeses with a higher fat content, such as Sindi cheese, may be softer and less consistent, and thereby achieve lower sensory acceptance with these characteristics.

The cheeses received better (P<0.05) sensory scores (moderately liked) on the first day of shelf life for the flavor attribute. This is because the chemical composition of the cheese (fat, protein and lactose) influences the product’s taste, especially when there is maturation. This behavior occurs as a function of the lipases acting on the lipids, forming medium and short chain free fatty acids, esters, ketones and aldehydes, interfering in the sensorial characteristics of the cheese35.

The consumer market is becoming more and more demanding with the aim to achieve more competitiveness and acceptance by consumers, and so the dairy sector has been seeking greater variety, improved quality and productivity. Products which reach long shelf life without affecting their sanitary, physicochemical and sensory properties are alternatives to boost wholesale and export trade.

Conclusions and implications

The milk from the Guzerat, Gyr and Sindi breeds presents favorable physicochemical characteristics for producing Coalho cheeses, obtaining yields higher than 40 %, therefore constituting excellent raw material for producing derivatives. In addition, the cheeses presented satisfactory sensorial acceptance during the studied storage periods.

Acknowledgements

The authors wish to acknowledge Brazilian Association of Zebu Breeders - Regional Technical Office and Sindhi Breeders Nucleus, Natal-RN, Brazil. We give thanks to the CAPES foundation for financial support.

Literature cited

1. ABCZ. Associação Brasileira de Criadores de Zebu. Pecuária Brasileira. Produção a Pasto 2012-2018. 2012. [ Links ]

2. Lima JAM, Coelho SG, Ruas JRM, Lana AMQ, Saturnino HM, Reis RB. Efeito do aumento da frequência de ordenhas no início da lactação sobre produção, composição do leite e características reprodutivas de vacas mestiças Holandês-Zebu. Arq Bras Med Vet Zootec 2011;63(5):1160-1166. [ Links ]

3. Neiva R. Genômica promove seleção mais veloz. In: XXI Ciência para a vida Embrapa: geração de valor genômico. (15nd ed.). Brasília, DF: Embrapa; 2017. [ Links ]

4. Panetto JCC, Silva MVGB, Verneque RS, Machado MA, Fernandes AR, Martins MF, et al. Programa Nacional de Melhoramento do Gyr Leiteiro - Sumário Brasileiro de Touros - Resultado do Teste de Progênie. Juiz de Fora, MG: Embrapa; 2018. [ Links ]

5. Bruneli FAT, Peixoto MGCD, Santana-Junior ML, Pereira RJ, Arbex WA, Penna VM, et al. Programa Nacional de Melhoramento do Guzerá para leite: resultados do teste de progênie, do programa de melhoramento genético de zebuínos da ABCZ e do núcleo MOET. Juiz de Fora, MG: Embrapa ; 2019. [ Links ]

6. Ventura HTV, Costa EV, Pereira MA, Silva FF, Josahkian LA, Silva EJS, et al. Sumário de Touros da Avaliação Genética Nacional das Raças Zebuínas Leiteiras: Gyr e Sindi. Uberaba, MG: ABCZ; 2018. [ Links ]

7. Dufour S, Fréchette A, Barkema HW, Mussell A, Scholl DT. Effect of udder health management practices on herd somatic cell count. J Dairy Sci 2011;94(2):563-579. [ Links ]

8. Campos PPL, Rangel AHN, Borba LHF, Urbano SA, Novaes LP, Galvão-Júnior JG, et al. Quality indicators of tank milk in different production systems of tropical regions. Semina Ciênc Agrar 2016;37(4):2807-2818. [ Links ]

9. Simioni JF, Duarte CR, Baretta M, Stefani LM, Lopes LS, Tizziani T. Qualidade do leite proveniente de propriedades com diferentes níveis de especialização. Semina Ciênc Agrar 2013;34(4):1901-1912. [ Links ]

10. Trakovická A, Moravčíková N, Navrátilová A. Kappa-casein gene polymorphism (CSN3) and its effect on milk production traits. Acta Fytotech Zootech 2012;15(3):61-64. [ Links ]

11. Glantz M, Lindmark MH, Stålhammar H, Paulsson M. Effect of polymorphisms in the leptin, leptin receptor, and acyl-coenzyme A: diacylglycerol acyltransferase 1 (DGAT1) genes and genetic polymorphism of milk proteins on cheese characteristics. J Dairy Sci 2011;94(7):3295-3304. [ Links ]

12. Jo Y, Benoist DM, Ameerally A, Drake MA. Sensory and chemical properties of Gouda cheese. J Dairy Sci 2018;101(3):1967-1989. [ Links ]

13. Lawless HT, Heymann H. Sensory evaluation of food: principles and practices. 2nd ed. Springer; 2010. [ Links ]

14. Cecchi HM. Fundamentos teóricos e práticos em análise de alimentos. Campinas, SP: Editora Unicamp; 1999. [ Links ]

15. IAL. Instituto Adolfo Lutz. Métodos físico-químicos para análise de alimentos. São Paulo: Instituto Adolfo Lutz; 2008. [ Links ]

16. Saboya LV, Oliveira AJ, Furtado MM, Spadoti LM. Efeitos físico-químicos da adição de leite reconstituído na fabricação de queijo minas frescal. Ciênc Tecnol Alim 1998;18(4):368-378. [ Links ]

17. Dutcosky SD. Análise sensorial de alimentos. 4nd ed. Curitiba, PR: Champagnat; 2013. [ Links ]

18. Deb R, Singh U, Kumar S, Singh R, Sengar G, Sharma A. Genetic polymorphism and association of kappa-casein gene with milk production traits amon Frieswal (HF × Sahiwal) cross breed of Indian origin Iranian. J Vet Res 2016;4(15):406-408. [ Links ]

19. Veronezi ABS, Guaberto LM, Araujo DS, Martins TR. Genotipagem do gene kappa caseína e sua influência na porcentagem de caseína e produção de queijo frescal. Colloq Vitae 2017;9(1):45-51. [ Links ]

20. Del-Lama SN, Zago MA. Identification of the kappa-casein and beta-lactoglobulin genotypes in brazilian Bos indicus and Bubalus bubalis populations. Braz J Genet 1996;19(1):73-77. [ Links ]

21. Azevedo ALS, Nascimento CS, Steinberg RS, Carvalho MRS, Peixoto MGCD, Teodoro RL, et al. Genetic polymorphism of the kappa-casein gene in Brazilian cattle. Genet Molec Res 2008;7(3):623-630. [ Links ]

22. Sulimova GE, Ahani-Azari M., Rostamzadeh J, Mohammad-Abadi MR, Lazebny OE. K-casein gene (CSN3) allelic polymorphism in Russian cattle breeds and its information value as a genetic marker. Russian J Genet 2007;43(1):73-79. [ Links ]

23. Van-Eenennaam A, Medrano JF. Milk protein polymorphisms in California dairy cattle. J Dairy Sci 1991;74(5):1730-1742. [ Links ]

24. Heck JML, Schennink A, Van-Valenberg HJ, Bovenhuis H, Visker MH, Van-Arendonk JA, et al. Effects of milk protein variants on the protein composition of bovine milk. J Dairy Sci 2009;92(3):1192-1202. [ Links ]

25. Kučerová J, Matějíček A, Jandurová OM, Sørensen P, Němcová E, Štípková M, et al. Milk protein genes CSN1S1, CSN2, CSN3, LGB and their relation to genetic values of milk production parameters in Czech Fleckvieh. Czech J Ani Sci 2006;51(6):241-247. [ Links ]

26. Robitaille G, Britten M, Petitclerc D. Effect of a differential allelic expression of kappa-casein gene on ethanol stability of bovine milk. J Dairy Res 2001;68(1):145-149. [ Links ]

27. Botaro BGL, Cortinhas YVR, Silva CS, Renno LFP, Palma F, Santos MV. Effect of the kappa-casein gene polymorphism, breed and seasonality on physicochemical characteristics, composition and stability of bovine milk. R Bras Zootec 2009;38(12):2447-2454. [ Links ]

28. Moura EO, Rangel AHN, Borba LHF, Galvão-Júnior JGB, Lima GF, Lima-Júnior DM, et al. Electrical conductivity and somatic cell count in zebu cow’s milk. Semina Ciênc Agrar 2017;38(5):3231-3240. [ Links ]

29. Brasil. Ministério da Agricultura, Pecuária e Abastecimento. Regulamento técnico de identidade e qualidade de queijo de Coalho. Anexo II. Instrução Normativa Nº 30, de 26 de Junho de 2001. Brasília, DF: Diário Oficial da União de 16/07/01. [ Links ]

30. Araújo RS, Nassu RT. Caracterização físico-química de queijo de manteiga, queijo de Coalho e manteiga da terra, produzidos no estado do Rio Grande do Norte e do Ceará. R Hig Alim 2002;16(97):70-75. [ Links ]

31. Hailu Y, Hansen EB, Seifu E, Eshetu M, Petersen MA, Lametsch R, et al. Rheological and sensory properties and aroma compounds formed during ripening of soft brined cheese made from camel milk. Intern Dairy J 2018;81(1):122-130. [ Links ]

32. Mcsweeney PLH, Sousa MJ. Biochemical pathways for the production of flavour compounds in cheeses during ripening: A review. Le Lait 2000;80(3):293-324. [ Links ]

33. Urbach G. The flavour of milk and dairy products. II. Cheese: Contribution of volatile compounds. Int J Dairy Techn 1997;50(3):79-89. [ Links ]

34. Ordóñez JA. Tecnologia de Alimentos - Alimentos de origem animal I. São Paulo, Brazil: Artmed; 2005. [ Links ]

35. Alewijn M, Sliwinski EL, Wouters JTM. Production of fat-derived (flavour) compounds during the ripening of Gouda cheese. J Dairy Internat 2005;15(6-9):733-740 [ Links ]

Received: January 21, 2020; Accepted: September 24, 2020

*Corresponding author: jupaula.oliv@yahoo.com.br

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