Zobrazeno 1 - 10
of 15
pro vyhledávání: '"G. S. Ambhore"'
Autor:
Ajay Singh, Avtar Singh, Manvendra Singh, Ved Prakash, G. S. Ambhore, S. K. Sahoo, Soumya Dash
Publikováno v:
Asian-Australasian Journal of Animal Sciences, Vol 29, Iss 6, Pp 775-781 (2016)
A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day milk yield data was modeled using a random regressio
Externí odkaz:
https://doaj.org/article/4ce4761d050646aba04ddcc181c051ba
Autor:
Saroj Kumar Sahoo, Avtar Singh, A. K. Gupta, A. K. Chakravarty, Manvendra Singh, G. S. Ambhore
Publikováno v:
Veterinary World, Vol 7, Iss 12, Pp 1094-1098 (2014)
Aim: The aim was to estimate genetic parameters of weekly test-day (TD) milk yields and first lactation 305-day milk yield (FL305DY) in Murrah buffaloes. Materials and Methods: The data on 39059 weekly test-day milk yield (WTDY) records during first
Externí odkaz:
https://doaj.org/article/43903070d13a46d4b738e86b7f8111d3
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 6 (2016)
First lactation records of 493 Phule Triveni cows sired by 55 bulls on production traits, viz. first lactation 300- day or less milk yield (FL300DMY), first lactation length (FLL), first dry period (FDP) and reproduction traits like age at first calv
Externí odkaz:
https://doaj.org/article/32e48efa2a184a64addb97336edf4f44
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 6 (2016)
The first lactation records of 493 Phule Triveni cows sired by 55 sires on production traits viz. FL300DMY, FLL, FDP and reproduction traits like AFC, FCI and FSP were collected/generated from RCDP on cattle, MPKV, Rahuri. The effect of season of cal
Externí odkaz:
https://doaj.org/article/7414c764dcd94864929e094dc2ebff5e
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 1 (2016)
The present investigation was carried out using data on 39,059 weekly test day milk yield (WTDMY) records during first lactation of 961 Murrah buffaloes calved during 1977–2012 maintained in an organized farm at the Institute. The least squares mea
Externí odkaz:
https://doaj.org/article/77771cf955ee49e28b3dddf4313355e2
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 1 (2016)
The present investigation was carried out using first lactation 9,071 monthly test-day milk yield records of 965 Murrah buffaloes that calved from 1977 to 2012 sired by 98 bulls maintained at ICAR-National Dairy Research Institute, Karnal. Mixed mode
Externí odkaz:
https://doaj.org/article/27fd8e7ed85a46b6948f28b52f7b2f9d
Publikováno v:
The Indian Journal of Animal Sciences. 88:352-355
The present study was undertaken to estimate the breeding values of 55 Phule Triveni sires for first lactation 300 day or less milk yield (FL300DMY) by using four different sire evaluation methods/models viz. Least Squares (LS), Simple Regressed Leas
Publikováno v:
Indian Journal of Animal Research.
In this study, first lactation 39059 weekly test-day milk yield records of 961 Murrah buffaloes were used to predict first lactation 305-day milk yield (FL305DMY) by stepwise backward regression method. The best single, two, three and four test day c
Autor:
Ajay Singh, Avtar Singh, Ved Prakash, G. S. Ambhore, Soumya Dash, Manvendra Singh, Saroj Kumar Sahoo
Publikováno v:
Asian-Australasian Journal of Animal Sciences
Asian-Australasian Journal of Animal Sciences, Vol 29, Iss 6, Pp 775-781 (2016)
Asian-Australasian Journal of Animal Sciences, Vol 29, Iss 6, Pp 775-781 (2016)
A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day milk yield data was modeled using a random regressio
Publikováno v:
The Indian Journal of Animal Sciences. 87
The performance records of 509 Phule Triveni cows maintained at RCDP, MPKV, Rahuri (Maharashtra) during 1976 to 2012 were used to estimate heritability and genetic and phenotypic correlation of lifetime performance traits. The mixed model analysis us