Use of test-day records to predict first lactation 305-day milk yield using artificial neural network in Kenyan Holstein-Friesian dairy cows

Tropical Animal Health and Production

Volumn 42, Issue 4, 2010, Pages 639-644

  Njubi, D M ^a,b   Wakhungu, J W ^a   Badamana, M S ^a  

^a UNIVERSITY OF NAIROBI   (Kenya)

^b National Council for Science and Technology   (Kenya)

Author keywords

Artificial neural networks; Back propagation; Dairy cows; Milk yield prediction

Indexed keywords

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CATTLE; COMPARATIVE STUDY; DAIRYING; FEMALE; KENYA; LACTATION; MILK; PHYSIOLOGY; PREDICTION AND FORECASTING; SECRETION;

ANIMALS; CATTLE; DAIRYING; FEMALE; KENYA; LACTATION; MILK; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS;

BOS; FRIESIA;

EID: 77952880536     PISSN: 00494747     EISSN: 15737438     Source Type: Journal    
DOI: 10.1007/s11250-009-9468-7     Document Type: Article

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