Trigeminal deafferentation and feeding behavior patterns in the pigeon (Columba livia).

1978 ◽  
Vol 92 (6) ◽  
pp. 1025-1040 ◽  
Author(s):  
Maria G. Miller ◽  
H. Philip Zeigler ◽  
Alfred E. Miller
2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 237-238
Author(s):  
Jocelyn R Johnson ◽  
Gordon E Carstens ◽  
Ira Parsons ◽  
Luis O Tedeschi

Abstract Objectives of this study were to evaluate the use of feeding behavior traits to predict individual-animal RFI and DMI of growing cattle fed high-grain finishing diets. Performance, DMI, and feeding behavior data were collected from 1 study utilizing 498 Angus-based composite steers (Study 1), and 2 studies utilizing 408 heifers (Study 2) and 321 steers (Study 3) composed of Brangus, Braford, Simbrah, and Angus breeds. DMI and feeding behavior traits were measured using a GrowSafe system, and RFI calculated within trial. Seventeen feeding behavior traits were evaluated: Frequency and duration of bunk visit (BV) and meal events, head-down duration (HDD), average meal length, maximum non-feeding interval, corresponding day-to-day variation (SD) of these traits, and ratios of HDD per BV duration, HDD per meal duration, and BV events per meal event. Partial least squares regression (PLSR) models for DMI and RFI were calibrated using data from Study 1 and 2, and independently validated using Study 3. Independent variables for the DMI models included mid-test BW0.75, ADG, frame size, and ultrasound traits, with and without feeding behavior traits, and for the RFI model included frame size, ultrasound, and feeding behavior traits. For prediction of DMI, validation R2 (R2v) of the base model (Mid-test BW0.75, ADG, frame size, and ultrasound) was 0.46. Inclusion of feeding behavior traits to the base model increased R2v to 0.66. For prediction of RFI, R2v was low (0.37), but the model classified 51% of calves into the correct RFI group (± 0.50 SD), with only 7% incorrectly classified across 2 RFI groups. Ongoing development of biosensor-based technologies to quantify feeding behavior patterns provides opportunities to predict DMI in support of precision nutrition, and reduce costs of identifying feed-efficient cattle. Further research is warranted to evaluate the robustness of PLSR-based models to predict RFI and DMI in cattle.


2004 ◽  
Vol 20 (4) ◽  
pp. 365-371 ◽  
Author(s):  
C.H. Parsons ◽  
M.L. Galyean ◽  
R.S. Swingle ◽  
P.J. Defoor ◽  
G.A. Nunnery ◽  
...  

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 165-166
Author(s):  
Megan N Hall ◽  
Gordon E Carstens ◽  
Monty Kerley ◽  
Lauren Wottlin

Abstract Objectives of this study were to evaluate the effects of DFM with and without Monensin plus Tylan on feed efficiency and feeding behavior patterns in steers. Crossbred steers (n = 125; BW = 303 kg) were randomly assigned to 1 of 4 treatments in a 2 x 2 factorial design: (1) control (no feed additives), (2) DFM only (25 g/d; Natur’s Way), (3) Monensin (40 g/ton) plus Tylan only (MON) and (4) DFM and MON. In pens with GrowSafe feedbunks, steers were fed the grower diet for 14 d and transitioned to a finisher diet on 16 d. During the grower/transition phase, MON-fed steers had 9.5% higher (P < 0.05) ADG and improved F:G (7.8 vs 8.94; P = 0.06) and RFI (-0.28 vs 0.27 kg/d; P < 0.01) vs CON-fed steers. DFM-fed steers had lower (P < 0.01) ADG, but similar F:G and RFI than CON-fed steers. Daily variances of bunk-visit event frequencies were reduced (P < 0.01) in MON- vs CON-fed steers. During the finisher period, MON x DFM interactions (P < 0.10) were observed for ADG and F:G. MON-fed steers had numerically improved F:G (5%) when DFM was excluded, but not when DFM was included. MON-fed steers had lower RFI (P < 0.01; -0.23 vs 0.23 kg/d), whereas DFM-fed steers had higher RFI (P < 0.01) compared to respective controls. MON-fed steers ate less (P < 0.01) DMI, spent 9% more (P < 0.05) time consuming meals and had 14% slower (P < 0.01) meal eating rate then CON-fed steers. The DFM did not positively affect feed efficiency. Although the magnitude of improvement in feed efficiency due to MON was small, results demonstrated that MON may minimize digestive upsets by reducing daily variation in feeding behavior during diet transition and slow meal-eating rate on high-grain diets.


2020 ◽  
Vol 4 (2) ◽  
pp. 986-992 ◽  
Author(s):  
Amanda J Cross ◽  
Tami M Brown-Brandl ◽  
Brittney N Keel ◽  
Joseph P Cassady ◽  
Gary A Rohrer

Abstract Heat stress has negative impacts on pork production, particularly in the grow-finish phase. During heat stress events, the feeding behavior of pigs is altered to reduce heat production. Several different systems have been developed to study feeding behavior. Most systems are not accurate representations of grow-finish commercial production as feed intake is monitored for only one pig at a time. The objective of this study was to utilize a feed monitoring system, representative of commercial conditions, to determine feeding behavior patterns of grow-finish pigs throughout the year and to identify changes that occurred during heat stress events. Feeder visit data were collected on barrows and gilts (n = 932) from three different sire breeds, Landrace, Yorkshire, and Duroc, between May 2014 and April 2016. Days in the study were partitioned into groups based on their maximum temperature–humidity index (THI), where a THI less than 23.33 °C was classified as “Normal”, a THI between 23.33 and 26.11 °C was classified as “Alert”, a THI between 26.11 and 28.88 °C was classified as “Danger”, and a THI greater than 28.88 °C was classified as “Emergency”. Feeding behavioral differences among breeds and sex were observed across all THI categories. Landrace-sired pigs had fewer feeder visits compared to Duroc- and Yorkshire-sired pigs. Gilts had fewer feeder visits than barrows in all THI categories. Differences in feeding behavior patterns between THI categories demonstrated that heat stress reduced the feeding duration of Landrace-sired pigs without any dramatic effects on the other pigs in the study. During elevated temperatures, all pigs tended to increase feeding events during the early (03:00–05:59) and late (18:00–20:59) periods of the day. Utilizing a feed monitoring system that is a more accurate representation of commercial conditions will lead to a greater understanding of feeding behavior among breed types and sexes during heat stress, allowing producers to enhance their ability to properly care for their pigs during both normal and heat stress events.


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