Continuous observations are an accurate method for behavioral measurements
but are difficult to conduct on large numbers of animals because of extensi
ve labor requirements. Thus, we sought to develop methods of behavioral dat
a collection in feedlot cattle production systems that reasonably approxima
ted continuous sampling. Standing, lying, feeding, drinking, and walking be
haviors were examined from 224 h of continuous video from 64 heifers. Exper
iment 1 (n = 24 heifers) compared continuous behavioral sampling techniques
(Continuous) with scan sampling using intervals of 1, 5, 10, 15, 30, and 6
0 min and time sampling (a technique for the periodic recording of behavior
) for the first 10 min out of every 60 min. Means for each scan sampling me
thod did not differ in estimated percentage of duration of behaviors (P > 0
.05) from continuous sampling, except for scan sampling with a 60-min inter
val. Scan sampling with a 60-min interval differed from more frequent scan
sampling intervals for all behaviors except lying. Scan sampling with short
intervals (1 and 5 min) was correlated highly with Continuous for all beha
viors. The longer the scan interval, the lower the correlations, especially
for behaviors with short duration. Time sampling was not an accurate techn
ique for measuring the sampled behaviors. Focal animal sampling (using cont
inuous sampling of individuals) indicated that one heifer was representativ
e of the entire pen of 10 animals (Continuous) for all maintenance behavior
s except drinking. Scan sampling methods (1-, 5-, 10-, and 15-min intervals
) were accurate methods of behavioral sampling for feedlot cattle, but scan
intervals of 30 or 60 min were less accurate and less precise. Time sampli
ng was not an accurate method because it overestimated standing and underes
timated lying behaviors. Experiment 2 (n = 40 heifers) investigated the num
ber of focal animals required to accurately represent continuous behavioral
sampling for all animals. Focal animal sampling was accurate for most beha
viors using as few as 1 animal out of 10 but was not an accurate method for
drinking behavior unless 40% of the animals in the pen were observed. Esti
mates of sample sizes needed for experimental protocols are provided. Behav
ioral means, standard deviations, and coefficients of variation are present
ed along with estimates of required sample sizes. These results validate ac
curate, precise, and efficient methods for quantifying feedlot cattle behav
ior.