[Impact of neuroreflexive type on the meat efficiency indicators in swine] | Vplyv neuroreflexívneho typu na ukazovatele mäsovej úžitkovosti ošípaných
2010
Debrecéni, O., Slovak Univ. of Agriculture in Nitra (Slovak Republic) | Mlyneková, L., Slovak Univ. of Agriculture in Nitra (Slovak Republic) | Vavrišinová, K., Slovak Univ. of Agriculture in Nitra (Slovak Republic) | Mlynek, J., Slovak Univ. of Agriculture in Nitra (Slovak Republic)
Animals were observed in hybrid combinations Large White x Landrase (111 head of pigs). These subjects were made habituation observation and set fattening, slaughter parameters and indicators of technological quality of meat. The results of experiment were as follows: Pigs without rearing reactions (vertical motor activity) in habituation test at 30 kg had higher average daily gains in nursery (P less than 0.05). The rearing reaction was usually linked with high acoustic manifestation (P less than 0.01). The more excitable animals (orientation towards the door) produced high acoustic manifestation together with door orientation (P less than 0.001). The animals which in habituation test at 30 kg did not express low acoustic manifestation had both higher average daily gain in nursery (P less than 0.05) and % of carcass lean meat (P less than 0.05). The more nervous the animals were during the habituation test the higher was the consumption of feed in kg/gain of average daily gain in nursery. Animals which had a higher number of lying during the habituation test had also a higher average thickness of bacon (P less than 0.001). The animals were statistically significantly more active during the habituation test at 30 kg in all observed parameters except for low acoustic manifestation. The whole range of indicators tracked exitability was found indicators that are closely related to the fattening and slaughter parameters - laying and rearing reaction (vertical motor activity).
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Agricultural Knowledge and Innovation Institute
Découvrez la collection de ce fournisseur de données dans AGRIS