The use of entropy analysis to evaluate the development of characteristics in dairy cattle of Holstein breed

Pidpala, T. V.; Крамаренко, А. С.; Zaitsev, Evgeni

doi:10.15421/nvlvet8401

Cited by 3 publications

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“…Many scientists consider a living organism, from the point of view of entropy, as a complex open system in which physical and chemical processes take place, which is in a disorganized, non-stationary state (Gray, 2011;Pidpala et al, 2018;Kramarenko et al, 2019). Therefore, the modeling process in biology is unique in its characteristics and at the same time quite complex, it is inextricably linked with such elements as: hypothesis, abstraction, analogy and others.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The degree of uncertainty in information systems decreases due to the received information, therefore, in numerical terms, entropy is equal to the amount of information, that is, it acts as a quantitative measure of information. Entropy also has the feature of additivity, since the total entropy of several objects is equal to the sum of the entropy phenomena of individual objects (Pidpala et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The entropy-based method is more powerful than conventional methods and may be useful for detecting epistasis of rare genes, including in animal breeding (Schrödinger, 1944b;Nezhlukchenko, 1999;Pidpala et al, 2018). Chinese scientists S. Liu et al (2023) used a combination of hyperspectral imaging and the entropy method to comprehensively assess the activity of antioxidant enzymes in Tano lamb.…”

Section: Introductionmentioning

confidence: 99%

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2023

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Section: Literature Reviewmentioning

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Section: Introductionmentioning

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Section: Introductionmentioning

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2023

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The use of entropy and information analysis to estimate the milk productivity of the Black-and-White dairy breed cows depending on their lineal affiliation

Karatieieva,

Posukhin

2023

UBSRAS

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In modern realities, an important place for the effective management of the cattle breeding industry is a properly implemented selection and breeding process with the sampling of cows that are marked by the highest indicators of a set of productive qualities. In this case, the application of entropy and information analysis is one of the most expedient, as it makes it possible to assess the economic and useful qualities of animals as fully as possible. The purpose of the study is to evaluate and analyze the degree of organization of the biological system of dairy cattle productive traits under the influence of hereditary factors such as the age and origin of cows. During the research, methods generally accepted in zootechnics and methods using information and entropy analysis, which are adapted and modified in animal husbandry, were used. The data obtained from the entropy and information analysis show that for cattle of the Black-and-White breed of different lineal affiliations, the level of organization of systems varies – R from 0.009 to 1.341 bits. Moreover, the most stable trait from the point of view of variability was the fat content in milk, the level of unconditional entropy in the section of lactations was equal to 3.333-4.550 bits, which indicates a smaller influence of disorganized factors on the level of manifestation of this trait, and a greater dependence on hereditary factors, i.e. origin. Although in general, a reliable influence of the lineal affiliation of cows on indicators of unconditional entropy and organization of the system was not established, the influence of the age factor on indicators of entropy was observed. Thus, the researched livestock is not characterized by uniformity and consolidation in terms of the main selection characteristics, except for the fat content in milk, which indicates a wide range of variability and serves as a flexible material both for selection and breeding work and for increasing the level of milk productivity. Therefore, the use of empirical data of information theory can be a kind of marker when predicting hereditary traits of a particular productivity, since entropy and information analysis provides wider and deeper values of trait variability

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“…Середній надій корів у стадах коливається в межах 8000-10000 кг молока з масовою часткою жиру 3,5…3,6 % жиру (Morozova et al, 2012). У племінному заводі голштинської породи СТОВ "Промінь" Арбузинського району Миколаївської області надій на одну корову за 2016 рік становив 10722 кг (Pidpala et al, 2018), а за 2018 році -11069 кг . В умовах ТОВ "Українська молочна компанія" надій корів голштинської породи за першу лактацію становив 8934 кг, другу -9750, третю -9540 кг молока (Koropets et al, 2016), є сільськогосподарські підприємства, де з розрахунку на дійну корову середня продуктивність корів перевищує 12 000 кг за рік (Livinskyi, 2014).…”

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Evaluation of highly productive cows by selection and genetic parameters

Pidpala

Matashnyuk

2020

SMLNUVMBA

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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.

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The use of entropy analysis to evaluate the development of characteristics in dairy cattle of Holstein breed

Cited by 3 publications

References 5 publications

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The use of entropy and information analysis to estimate the milk productivity of the Black-and-White dairy breed cows depending on their lineal affiliation

Evaluation of highly productive cows by selection and genetic parameters

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