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Submitted by Guilherme Lemeszenski (guilherme@nead.unesp.br) on 2014-02-26T17:18:33Z No. of bitstreams: 1 WOS000207598400045.pdf: 87249 bytes, checksum: 0b1c8f059f9e3434e1a60092e88f20f1 (MD5) Made available in DSpace on 2014-02-26T17:18:33Z (GMT). No. of bitstreams: 1 WOS000207598400045.pdf: 87249 bytes, checksum: 0b1c8f059f9e3434e1a60092e88f20f1 (MD5) Previous issue date: 2007-01-01 Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-20T13:40:46Z No. of bitstreams: 1 WOS000207598400045.pdf: 87249 bytes, checksum: 0b1c8f059f9e3434e1a60092e88f20f1 (MD5) Made available in DSpace on 2014-05-20T13:40:46Z (GMT). No. of bitstreams: 1 WOS000207598400045.pdf: 87249 bytes, checksum: 0b1c8f059f9e3434e1a60092e88f20f1 (MD5) Previous issue date: 2007-01-01 The buffalo population in Brazil increased about 12.9% between 1998 and 2003, to 2.8 million head, evidencing the importance of this species for the country. The objective this work was evaluation of animal growth using multivariate analysis. The data were from 2,944 water buffalo from 10 herds raised in pasture conditions in Brazil. Principal components and genetic distances were estimated using proc PRINCOMP and proc CANDISC in SAS (SAS Inst. Inc. Cary, NC, USA). Variables analyzed were birth weight (BW), age at weaning (AW), weaning weight (WT), weight adjusted to 205 d (W205), total gain between BW and WT (TG), daily gain between BW and WT (DG), weight adjusted to 365 d (W365), total gain between WT and W365 (TG3), daily gain between WT and W365 (TGD3), weight adjusted to 550 d (W550) and weight adjusted to 730 d (W730). Means and standard deviations for each variable were 39.4 +/- 3.2 kg, 225.6 +/- 38.8 d, 209.4 +/- 39.4 kg, 195.4 +/- 30.2 kg, 157.4 +/- 32.0 kg, 0.77 +/- 0.16 kg/d, 282.0 +/- 43.5 kg, 73.9 +/- 33.9 kg, 0.53 +/- 0.21 kg/d, 406.8 +/- 67.9 kg, and 468.2 +/- 70.6 kg, respectively. The eigenvalues to four first principal components were 5.29, 2.54, 1.66, 1.01, and justify 48%, 23%, 15% and 9%, respectively, with a total cumulative 95%. We created an index using the first principal component which is Y. 0.0552 BW + 0.0438 AW + 0.3142 WT + 0.3549 W205 + 0.3426 TG + 0.3426 DG + 0.4070 W365- 0.1531 TG3 - 0.2059 TGD3 - 0.3833 W550 - 0.3966 W730. This index accounted for 48% the variation in the correlation matrix. This principal component emphasizes early growth of the animal. Estimates the pair-wise squared distances between herds, D2(i vertical bar j)= ((x) over bar (i)-(x) over bar (j))' cov(-1)((x) over bar (i)-(x) over bar (j)), using with basis the average of weight of animals, showed the largest distance between herds eight (Murrah: DF) and seven (Murrah: Amazon) and the closest distance between herds one (Mediterranean - RS) and five (Jafarabadi - SP). Univ Missouri, Dept Anim Sci, Div Anim Sci, Columbia, MO 65211 USA Universidade Federal do Paraná (UFPF), Palotina, PR, Brazil Univ Estadual Paulista, Dept Anim Prod, Botucatu, SP, Brazil Salth E Bahia Univ, Dept Biol Sci, Jequie, BA, Brazil Univ Fed Mato Grosso do Sul, Dept Biosci, CEUL, Tres Lagoas, MS, Brazil Univ Missouri, Dept Stat, Columbia, MO 65211 USA Univ Estadual Paulista, Dept Anim Prod, Botucatu, SP, Brazil