Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027162%3A_____%2F25%3AN0000004" target="_blank" >RIV/00027162:_____/25:N0000004 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62156489:43210/25:43926569 RIV/00027014:_____/25:10006212

Výsledek na webu

<a href="https://cjas.agriculturejournals.cz/artkey/cjs-202501-0001_mid-infrared-milk-screening-as-a-phenotyping-tool-for-feed-efficiency-in-dairy-cattle.php" target="_blank" >https://cjas.agriculturejournals.cz/artkey/cjs-202501-0001_mid-infrared-milk-screening-as-a-phenotyping-tool-for-feed-efficiency-in-dairy-cattle.php</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/165/2024-CJAS" target="_blank" >10.17221/165/2024-CJAS</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle

Popis výsledku v původním jazyce

Feed efficiency (FE) is one of the most essential traits in dairy cattle. As could be assumed, the importance of FE lies in the price of feed, which accounts for a large part of the cost of dairy herds. Unfortunately, assessing FE in an individual cow involves measuring feed consumption, is laborious and financially expensive, and is not usable for group cows feeding on production farms. There are efforts to predict FE or, more precisely, dry matter intake (DMI) using predictors such as a cow's weight (BW), milk production (MY), and milk composition. However, it is proposed that FT-MIR data can be used to increase the accuracy of DMI prediction. The paper aims to review using the Fourier transform mid-infrared spectroscopy (FT-MIR) of milk to acquire FE phenotype in dairy cattle. FT-MIR of milk is an accurate method widely used to determine milk components' content routinely. In FE phenotyping, the predictive equations include FT-MIR as a predictor and/or other predictive traits such as BW, MY, milk composition, herd, breed, day in milk, and pregnancy. The most commonly used mathematical methods are partial least squares (PLS) and artificial neural networks (ANN). The prediction accuracy differs between experiments and depends on the mathematical method and model used. The predictions based on FT-MIR alone showed accuracy in the range of 0.19–0.40. However, we emphasise that combining all sources of information, including MY, milk composition, FT-MIR, and near-infrared reflectance spectroscopy NIR, is crucial and results in higher accuracy values, range of 0.03 to 0.81.

Název v anglickém jazyce

Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle

Popis výsledku anglicky

Feed efficiency (FE) is one of the most essential traits in dairy cattle. As could be assumed, the importance of FE lies in the price of feed, which accounts for a large part of the cost of dairy herds. Unfortunately, assessing FE in an individual cow involves measuring feed consumption, is laborious and financially expensive, and is not usable for group cows feeding on production farms. There are efforts to predict FE or, more precisely, dry matter intake (DMI) using predictors such as a cow's weight (BW), milk production (MY), and milk composition. However, it is proposed that FT-MIR data can be used to increase the accuracy of DMI prediction. The paper aims to review using the Fourier transform mid-infrared spectroscopy (FT-MIR) of milk to acquire FE phenotype in dairy cattle. FT-MIR of milk is an accurate method widely used to determine milk components' content routinely. In FE phenotyping, the predictive equations include FT-MIR as a predictor and/or other predictive traits such as BW, MY, milk composition, herd, breed, day in milk, and pregnancy. The most commonly used mathematical methods are partial least squares (PLS) and artificial neural networks (ANN). The prediction accuracy differs between experiments and depends on the mathematical method and model used. The predictions based on FT-MIR alone showed accuracy in the range of 0.19–0.40. However, we emphasise that combining all sources of information, including MY, milk composition, FT-MIR, and near-infrared reflectance spectroscopy NIR, is crucial and results in higher accuracy values, range of 0.03 to 0.81.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40301 - Veterinary science

Projekt

<a href="/cs/project/QL24010350" target="_blank" >QL24010350: Podpora udržitelnosti efektivního chovu dojeného skotu pomocí genomického šlechtění s využitím mining dat z moderních technologií včetně infračervené spektroskopie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Czech Journal of Animal Science

ISSN

1212-1819

e-ISSN

1805-9309

Svazek periodika

70

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

001408791300001

EID výsledku v databázi Scopus

2-s2.0-85216769891