RU-2861417-C1 - METHOD FOR EVALUATING AND SELECTING COWS FOR ROBOTIC MILKING BY PRODUCTIVE-TECHNOLOGICAL INDEX

RU2861417C1RU 2861417 C1RU2861417 C1RU 2861417C1RU-2861417-C1

Abstract

FIELD: animal husbandry. SUBSTANCE: invention can be used in the evaluation and selection of dairy cows under robotic milking conditions. The invention is a method for evaluating and selecting cows for robotic milking by a productive-technological index, including evaluating cows by milk productivity: milk yield, fat and protein content in milk, as well as by technological indicators: milking frequency, milk flow rate, milking process intensity over the study period, wherein the productive-technological index is determined as the ratio of the sum of estimated indicators: milk yield, fat and protein content in milk, milking frequency, milk flow rate, cow milking process intensity to the sum of the average values of the estimated indicators for the herd; after evaluating each animal by the productive-technological index, finding the arithmetic mean and standard deviation of this index for the herd, when the productive-technological index is greater than the arithmetic mean for the herd by 0.5 sigma (M+0.5σ) is classified as animals with a high productive-technological index, less than the arithmetic mean for the herd by 0.5 sigma (M-0.5σ) - with a low productive-technological index, with an intermediate value - with an average productive-technological index, where M is the arithmetic mean of the indicator; σ is the standard deviation of the indicator, selecting cows with a high index for the breeding group, with an average index for the breeding group, and with a low index for the production group, wherein the evaluation of cows is carried out under robotic milking conditions for the first 60, 90, 120, 150 or 305 days of lactation. EFFECT: increasing the objectivity of the cow selection evaluation by productive technological traits. 1 cl, 4 tbl

Inventors

Sharipov Delius Rinatovich
Akhmetzianova Firaia Kazbekovna
Kozlova Nataliia Iurevna
Iakimov Oleg Alekseevich
SEMENOV VLADIMIR GRIGOREVICH
Kaiumov Rubin Rasikhovich
Kashaeva Aliia Rinatovna
Saliakhov Almaz Shamilevich
Galimullin Ildar Shamilevich

Dates

Publication Date: 20260505
Application Date: 20250616

Claims (1)

A method for evaluating and selecting cows for robotic milking based on a productivity-technological index, including evaluating cows based on milk productivity: milk yield, fat and protein content in milk, characterized in that, along with milk productivity, the frequency of milking, the intensity of milking, and the intensity of the milking process over the period under study are evaluated as technological indicators, while the productivity-technological index is defined as the ratio of the sum of the evaluation indicators: milk yield, fat and protein content in milk, milking frequency, milking intensity, and the intensity of the milking process of a cow to the sum of the average values of the evaluation indicators for the herd; After evaluating each animal according to the productivity-technological index, the arithmetic mean value and the standard deviation of this indicator for the herd are found; if the productivity-technological index is 0.5 sigma (M+0.5σ) higher than the arithmetic mean value for the herd, animals are classified as having a high productivity-technological index, if it is 0.5 sigma (M–0.5σ) lower than the arithmetic mean value for the herd, they are classified as having a low productivity-technological index, and if it is an intermediate value, it is the average productivity-technological index, where M is the arithmetic mean value of the indicator; σ is the standard deviation of the indicator; cows with a high index are selected for the selection group, with an average index for the breeding group, and with a low index for the production group; moreover, the cows are evaluated under robotic milking conditions for the first 60, 90, 120, 150 or 305 days of lactation.

Description

The invention relates to the field of animal husbandry, in particular to dairy cattle breeding, and can be used in the evaluation and selection of dairy cows under robotic milking conditions. In dairy farming, the applied selection indices include the evaluation and selection of animals based on such economic and biological characteristics as productivity, exterior indicators, reproductive qualities, stress resistance, morphofunctional properties of the udder, productive longevity, as well as adaptation and behavior. A method proposed by V.P. Gavrilenko (2009) is known for evaluating and selecting dairy cattle based on the productive-reproductive index, characterized by the fact that milk productivity (milk yield and fat content in milk) and fertility (service period) of the group being evaluated are determined taking into account the selection standard, heritability and variability of these indicators [1]. A method proposed by S.D. Batanov, I.A. Baranova and O.S. Starostina (2019) is known for assessing the selection and genetic parameters of cows for milk productivity, characterized by the fact that the productivity index is determined based on the actual milk productivity (milk yield and fat and protein content in milk) taking into account the basic standards for fat and protein content in milk [2]. The above methods of evaluation and selection of dairy cattle include only a part of the economic and biological characteristics, which reduces their effectiveness in the conditions of intensive milk production technologies, in particular in the conditions of robotic milking. The closest to the declared one and taken as a prototype is the productivity-technological index developed by E.A. Alekseeva (2023), which is characterized by the fact that it takes into account the exterior indicators (live weight, leg length and compactness indices) and milk productivity (milk yield, fat and protein content) of cows over 305 days of lactation [3]. A disadvantage of this method of cow evaluation and selection is that consideration of conformation characteristics (live weight, leg length, and compactness indices) is of little use in the context of robotic milking. The lack of correlation with technological characteristics such as milking frequency, milk yield, and milking process reduces the objectivity of cow evaluation and selection for robotic milk production. The objective of the invention is to expand the methods for evaluating and selecting cows for robotic milking and to increase the objectivity of evaluating and selecting cows based on productive and technological characteristics, which makes it possible to assemble herds of dairy cattle of the desired type. The stated problem to be solved in the method of evaluation and selection of cows for robotic milking based on the productivity-technological index, including the evaluation of cows based on milk productivity: milk yield, fat and protein content in milk, is achieved by the fact that along with milk productivity, the frequency of milking, the intensity of milk removal, and the intensity of the milking process over the study period are evaluated as technological indicators, while the productivity-technological index is defined as the ratio of the sum of the evaluation indicators: milk yield, fat and protein content in milk, milking frequency, milk removal intensity, and the intensity of the milking process of a cow to the sum of the average values of the evaluation indicators for the herd; After evaluating each animal according to the productivity-technological index, the arithmetic mean value and the standard deviation of this indicator for the herd are found; if the productivity-technological index is greater than the arithmetic mean value for the herd by 0.5 sigma (M+0.5σ), animals are classified as having a high productivity-technological index, if it is less than the arithmetic mean value for the herd by 0.5 sigma (M-0.5σ), they are classified as having a low productivity-technological index, and if it is between values, they are classified as having an average productivity-technological index, where M is the arithmetic mean value of the indicator; σ is the standard deviation of the indicator. Cows with a high index are included in the selection group, those with an average index are included in the breeding group, and those with a low index are included in the production group. Moreover, the cows are assessed under robotic milking conditions for the first 60, 90, 120, 150 or 305 days of lactation. The method is applied as follows. Cows are evaluated under robotic milking conditions after a certain number of days of lactation (the evaluation period). Evaluation recommendations may include evaluation for the first 60, 90, 120, 150, or 305 days of lactation. The collection of necessary parameters, such as milk yield, fat and protein content in milk, milking frequency, duration of stay at the milking station and milk flow intensity, is carried out automatical