Analysis of Genotype × Environment Interaction for milk production in dairy cow

Крамаренко, С. С.; Кузьмічова, Наталя Ігорівна; Крамаренко, А. С.

doi:10.32718/nvlvet8905

Cited by 6 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Рівень продуктивності молочної худоби обумовлюється кількісними (добові надої) та якісними (вміст жиру та білку в молоці) ознаками, для яких характерні суттєві коливання протягом всього періоду лактації. Особливості динаміки лактаційної діяльності (наприклад, час досягнення пікової продуктивності, абсолютне пікове значення надою та/або вмісту жиру в молоці, швидкість зниження рівня продуктивності після досягнення пікового значення) обумовлюються як генетичними, так і паратиповими факторами, а також проявом взаємодії "генотип × середовище" (Hayes et al, 2003;Haile-Mariam et al, 2008;Sundberg et al, 2010;Kramarenko et al, 2018).…”

Section: вступunclassified

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

2019

Self Cite

View full text Add to dashboard Cite

The analysis included data on the origin and milk productivity of 109 first-born red steppe breed, which were descendants of five bulls-offspring (Narcissus, Topol, Tangens, Neptune, and Orpheus) and were kept in SE “Plemproductor Stepove” (Mykolaiv region, Ukraine ) during the years 2001–2014. The purpose of this study was to analyze the fat content of milk during different months of lactation (MFP1, MFP2,…, MFP10) to determine latent variables that best describe the variability of dairy cows' productivity in this herd. High correlation estimates of fat milk scores in different lactation months have been established. According to the results of the Principal Component Analysis, based on the (co)variation matrix of fat content in milk, three new variables (PC1, PC2, and PC3) were identified, which accounted for about 82% of the variability of the original data. The First Main Component (PC1) explained 53.5%, Second (PC2) – 17.7%, and Third (PC3) – 10.6% of the variability of the original data, respectively. PC1 was highly correlated with MFP4-MFP10 and, thus, it distributed the animals according to their fat content level. PC2 was highly positively correlated with MFP8-MFP10 but highly negatively correlated with M FP1-MFP3 and thus it shows the rate of increase in fat content in milk during lactation. PC3 characterizes the variability of fat content in milk during the first and second half of lactation. The Linear Discriminant Analysis found that the MFP1-MFP2 and MFP9-MFP10 scores contributed most to the discrimination among the five subpopulations. The individual identification of the offspring groups of different bulls according to the cross-check classification ranged from 44.4% (Topol) to 87.5% (Orpheus) of cows, which were correctly assigned to their own group.

show abstract

Section: вступunclassified

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is purebred animals that make it possible to use highly efficient technologies, as they show the standard of the required characteristics and their stability. The smaller the coefficient of variation of a particular trait, the higher the degree of homo-and taut zygote, the greater the breeding value of the breed [1][2][3].…”

mentioning

confidence: 99%

Influence of genotypical and paratypical factors on the productivity of dairy cattle

Bashchenko¹,

Boiko²,

Gonchar³

et al. 2020

Visnyk agrarnoi nauky

View full text Add to dashboard Cite

To study the effect of the genotype of the parents and of parameters of microclimate on the productivity of dairy cattle. Methods. Analysis of experimental studies on the application of effective methods of selection, the study of the environment, assessment of productive qualities of animals for growing in various types of buildings. Results. The formation of the genetic potential of dairy breeds was made according to the breeding value of pedigree bulls. The share of influence of the bull based on «hope» is 16.4-34.5%, and on the fat content in the milk-15.3-20.1% (P<0.001). One of the many factors influencing the productivity of agricultural animals is the parameter of the microclimate in the building where they are kept. In the cold period of the year the most problematic in terms of comfort there are periods of prolonged cold. In loose housing of cows, the decrease of milk yield because of frosts reached 1.5 kg per day. The strength of the influence of the temperature and the velocity of the air in the general phenotypical variability in the level of milk yield and yield of milk fat over the lactation into account respectively made 33.6 (P<0.001), 29.4 (P<0.05), 35.3 (P<0.001), and 28.3% (P<0.05) respectively. It is established that to improve the profitability of livestock breeding the microclimate in the building requires significant improvements in the winter-summer period of the year at the natural ventilation system. Conclusions. Quantitative and qualitative indicators of milk productivity of cows of native breeds are determined by breeding value and linear membership of bulls, used for the reproduction of breeding stock. A favorable climate should be considered as an important factor of the realization of genetic potentialities of dairy cattle at pure breeding.

show abstract

“…Поряд з природно існуючими зв'язками між продуктивними ознаками в процесі селекції виникають нові, які можуть бути додатними і від'ємними, оскільки їх фенотипічний прояв є взаємною дією спадкових і середовищних факторів (Kramarenko et al, 2018). Дослідженнями вчених (Pidpala et al, 2012) встановлено, що в результаті тривалої однобічної селекції червоної степової породи за жирномолочністю відбулася зміна слабкої від'ємної кореляції (r = -0,140, |Р > 0,95) між надоєм і вмістом жиру в молоці до слабкої додатної (r = +0,060, Р < 0,95).…”

unclassified

Evaluation of highly productive cows by selection and genetic parameters

Pidpala

Matashnyuk

2020

SMLNUVMBA

View full text Add to dashboard Cite

Under the conditions of intensive technologies used in production of livestock products, the main selection feature that characterizes the economic feasibility of dairy farming and breeding value of animals is milk productivity. One of the factors that affects, not only the economy of production, but also the improvement of herds and breeds of cattle, is the use of highly productive cows. Therefore, the aim of our research was to assess the level of development of productive traits in Holstein cows under the conditions of intensive milk production technology, according to selection and genetic parameters. To conduct the study, a group of 1089 first-born cows was formed with the help of the Dairy Comp program and Microsoft Excel. The material for the research was the milk productivity of Holstein cows during the first three lactations. The level of development of selection traits in animals was determined by selection and genetic parameters. It was found that from the sample n = 1089 to the group of highly productive animals (“>10560”) were included 266 cows, and low-productive animals (“<8706”) – 249 first-borns. They had an average milk yield for the first lactation, 11439 kg of milk with a fat content of 3.96 % and 7737 kg of milk and 3.95 %, respectively. There is a difference in milk yield, milk fat and protein between the groups of cows “>10614” and “<8706”, but there is a general tendency towards changes in productivity with age. Based on the data of milk recurrence and the amount of milk fat of high-yielding cows (group “>10614”), it was found that higher values of the coefficient are characteristic of lactations I–III (rw= 0.105; rw= 0.135). As a result of comparative analysis it was found that low-yielding animals (group “<8706”) were characterized by higher recurrence rates for I–II and I–III lactation (rw = 0.345;rw = 0.316;rw = 0.320 and rw = 0.664;rw = 0.646;rw = 0.651, respectively). Higher rates of recurrence of traits of milk productivity are the characteristic of low-yielding cows (group “<8706”), i.e. they had more consistency of traits during different lactations and animals with a high level of productivity did not differ in age constancy. At a high level of milk yield in cows of group “>10614” appeared a negative correlation of low and medium level (r = -0.423). It was also found a negative correlation of low and medium level between milk yield and protein content in milk (r = -0.007… -0.332). At lower milk yields, there is no negative correlation between milk yield and fat content in milk. Thus, the existence of a negative correlation between milk yield and fat content in milk at a high level of animal productivity, and between milk yield and protein content in milk at both high and low levels of cow productivity was proved.

show abstract

Analysis of Genotype × Environment Interaction for milk production in dairy cow

Cited by 6 publications

References 24 publications

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

Influence of genotypical and paratypical factors on the productivity of dairy cattle

Evaluation of highly productive cows by selection and genetic parameters

Contact Info

Product

Resources

About