Longevity of Nelore Cows of the Bolivian Tropics. Is It Possible to Explain It Through Productive Variables?

摘要

The objective of this work was to evaluate the longevity and its relationship with productive variables of Nelorecows in grazing systems of the Bolivian tropics. Retrospective data were used corresponding to 259 Nelore breedcows, primiparous and multiparous discarded with a total of 800 births, in the period between 2005 and 2019,belonging to the Cooperativa Agropecuaria Integral San Juan de Yapacaní (CAISY) located in the San JuanJapanese Communities, Santa Cruz, Bolivia. The variables analyzed were: Live weight of cow (WC) in kg,Weight of the calf at birth (WCB) in kg, Weight of calf at weaning (WCW) in kg, Total weight of weaned calf(WWC) in kg, Age at first calving (AFC) in months, Number of calvings (NC), Longevity (L) in days, CalfIndex (CI) in kg, Accumulated Productivity (PAC) in kg, Total calf production (CP) in kg, Efficiency of Stock(ES) in kg. In order to respond to the main objective of this work, the relationship between the life longevity ofthe cow and the other productive variables was studied. For this, first principal component analysis (PCA) wascarried out, by means of which the space dimension of the productive variables was reduced creating newlinearly independent variables and in this way avoid problems of multicollinearity in the model, because theproductive variables in some cases turned out to be correlated. Then, the first three main components that explain77% of the total variability of the data were retained and interpreted as follows: The PC1 was high and directlycorrelated with the variables NC, Kg produced total, % of stock efficiency, PAC and Kg produced meat / day,therefore can be thought of as an indicator of "productive efficiency". PC2 was an indicator of "efficiency inrebreeding" since it presented altar and direct correlations with WC and AFC. PC3 was high and directlycorrelated with birth weight and weaning weight, which is interpreted as an indicator of "breeding efficiency".Finally, a multiple linear regression model was adjusted considering Longevity as a function of productiveefficiency, breeding efficiency and rebreeding efficiency (p-value 0.0001 in the three cases). 87% of the totalvariability of L (days) is explained by the model. It is concluded that Longevity is related to productiveindicators for this group of Nelore cows in grazing systems of the Bolivian tropics.