Intake and digestibility of nutrients
Expected and observed DMI in experimental goat kids are given in Table 2 (Fig 1). A range of 0.31 to 0.55 kg/day were observed for daily DMI. Mean daily DMI, fortnightly DMI and percent DMI (kg/100 kg BW) were observed significantly lower (P<0.05) in low RFI goat kids compared to high RFI goat kids and goat kids with low RFI Barbari goats consumed 35% less DM than Barbari goats of high RFI group. Significant (P<0.05) positive correlation were observed between RFI value and daily DMI (r=0.866), fortnightly DMI (r=0.867) and percent DMI (r=0.871). Average RFI values in High and Low RFI experimental goat kids ranged from -0.029 to +0.028 kg/day, representing a difference of 0.057 kg of feed per day. Mean RFI values in low and high RFI goat kids were -0.029 and +0.028 kg/day, respectively. The values for ADG ranged from 45 to 67 g/day. ADG did not differ significantly (P>0.05). Out of 24 experimental Barbari goats, 13 Barbari goats having negative RFI and rest 11 Barbari goats having positive RFI.
Bonilha et al., (2013) identified a 0.656 kg/day disparity in RFI between low and high RFI Nellore calves of similar body size and development rate.
Zhang et al., (2017) found that RFI showed no link with metabolic BW (MBW) or average daily gain (ADG), but it did have a positive correlation with dry matter intake (DMI) and feed conversion ratio (FCR).
Nascimento et al., (2015) reported that Nellore cattle with low RFI (≤0.128 kg/day) ingested 7.2 kg DM/day, representing a 14.0% reduction compared to those with high RFI (>0.135 kg/day). No notable variations in average daily gain were detected across the residual feed intake classes.
Bose et al., (2014) documented a 10% reduction in dry matter intake (DMI) among Murrah buffalo calves exhibiting low residual feed intake (RFI) compared to those with high RFI (-0.20 vs. 0.23 kg DM/day), notwithstanding the absence of differences in body weight increase. Although high RFI beef heifers ingested 16% more feed DM than low RFI heifers,
Fitzsimons et al., (2014) noted comparable ADG across the two groups (-0.43 vs. 0.44 kg/day).
Steyn et al., (2014) and
Sobrinho et al., (2011) observed that low RFI animals exhibited comparable growth rates and reduced feed consumption relative to high RFI animals.
Bonilha et al., (2013), Nascimento et al., (2015) and
Sharma et al., (2016) indicated a positive link between RFI and feed intake, however the correlation between RFI and body weight increase were zero.
Arce-Recinos et al. (2022) indicated that lambs exhibited an average daily dry matter intake (DMI) of 1.15±0.069 kg and a daily weight gain (DWG) of 216±8.68 g. Low-RFI lambs consumed 84 g/d less than anticipated (P<0.001), but high-RFI lambs consumed 77 g/d more. Although the total DMI exhibited no significant difference, efficient lambs (low-RFI) consumed 150 g/d less feed than their inefficient counterparts. A reduced feed intake in more efficient calves, without a change in growth rate, indicates that these animals utilised feed resources for tissue growth more effectively, attributable to the greater metabolizability of the ingested feed.
Digestibility coefficients for most nutrients were elevated in the low RFI group with respect to the high RFI group, the mean values exhibited significant differences across the groups. The animals with lower RFI, those that are more feed-efficient, consumed less dry matter and crude protein, especially when measured on a daily intake basis, with statistically significant differences in some variables. These lower intakes were positively correlated with RFI, suggesting that maximum feed efficiency (
i.
e., lower RFI) is related with reduced intake requirements to maintain performance. However, no significant difference were observed in digestible crude protein or total digestible nutrient intake across most metrics, indicating that despite consuming less, feed-efficient animals were able to maintain similar levels of digestible nutrient intake.
Nkrumah et al., (2006) noted a six percent increase in apparent digestibility of dry matter in the low RFI group compared to the high RFI group, suggesting that animals with low RFI exhibit superior nutrient utilisation efficiency relative to those with high RFI.
Richardson et al., (2001) assessed digestibility in growing cattle that were divergently selected for low and high Residual Feed Intake after one generation. When provided with roughage-based diets, low RFI bulls and heifers exhibited superior digestibility relative to their high RFI counterparts. Nonetheless,
Bose et al., (2014) and
Sharma et al., (2016) observed comparable nutritional digestibility between low and high RFI animals, potentially attributable to a narrower variance in RFI within the groups classified as low and high RFI. Differences in intake and digestibility may be ascribed to the alteration in the rumen microbial population between efficient and inefficient animals
(Guan et al., 2008). Arce-Recinos et al. (2022) reported in lambs that intake were adjusted for metabolic body weight (g/kg LW
0.75), low-RFI lambs had significantly lower DMI, OMI, CPI and NDFI, indicating higher feed efficiency.
Feed efficiency and ingestive behaviour
Estimation of feed efficiency and ingestive behavior in low and high RFI Barbari goats is presented in Table 3. Significant disparities among RFI classes were detected for the other efficiency indicators examined for FCR (P<0.01), FCE (P=0.002), KR (P=0.008) and RGR (P=0.007). It is observed that low RFI Barbari goats were more efficient in utilization of feed than high RFI Barbari goat. Low RFI Barbari goats showed better FCR, FCE, KR and RGR than Barbari goats with high RFI, respectively. FCR and FCE were 22.5% and 33.3% better in low RFI Barbari goats compared to high RFI Barbari goat. RFI presented significant (P<0.05) moderate negative correlation with FCE, KR, RGR and positive correlation with FCR. Mean BCS values in both RFI Barbari goats were found to be similar in two groups. Animals with low Residual Feed Intake (RFI) exhibited superior residual weight gain, residual intake-weight gain and feed efficiency along with a reduced Feed Conversion Ratio (FCR) compared to those with medium and high RFI
(Nascimento et al., 2015). Previous studies
(Bose et al., 2014; Sharma et al., 2014; Sharma et al., 2016) indicated superior feed conversion ratios in low residual feed intake animals compared to high residual feed intake animals.
Kelly et al., (2014) identified a negative connection between residual feed intake (RFI) and feed conversion efficiency (FCE) and average daily gain (ADG). Our findings corroborate this, suggesting that imposing selection pressure for FCR or FCE will likely result in an increase in mature size, thereby elevating maintenance energy and feed requirements.
Feeding time (FT) per day showed no significant difference between the low RFI group and the high RFI group However, when feeding time were adjusted per kilogram of dry matter intake (FT/kg DM), a significant difference emerged. The low RFI animals spent more time feeding per kg of DM consumed compared to the high RFI animals with a highly significant and a very strong negative correlation. This suggests that while overall feeding duration were similar, more feed-efficient animals spent more time eating each unit of feed. Rumination time (RT) per day also did not differ significantly between groups. However, rumination time per kg of dry matter (RT/kg DM) showed a significant difference. Chewing time (CT), which includes both feeding and rumination, did not differ significantly on a daily basis between groups. But when normalized per kg of dry matter (CT/kg DM), low RFI animals showed significantly higher chewing time compared to high RFI animals. Total idling time were not significantly different between groups. Consistent with the findings of the current study,
Kelly et al., (2010) observed that highly efficient animals expended less time and energy on this activity and allocated more time to sedentary pursuits, potentially conserving energy for weight increase. A shorter duration of bunk visits in more efficient animals compared to less efficient animals were also observed by
Lancaster et al., (2009) and
McGee et al., (2014). High-productivity animals expend less energy in physiological maintenance activities, so augmenting the net energy accessible for tissue accumulation (
Castro Bulle et al. 2007).