Relationship of gestation protein and feed intake level over a five-parity period using a high-producing sow genotype.

1998 ◽  
Vol 76 (2) ◽  
pp. 533 ◽  
Author(s):  
D C Mahan
2016 ◽  
Vol 94 (1) ◽  
pp. 275-283 ◽  
Author(s):  
A. P. Foote ◽  
K. E. Hales ◽  
R. G. Tait ◽  
E. D. Berry ◽  
C. A. Lents ◽  
...  

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 295-296
Author(s):  
A Morales Trejo ◽  
D Antoine ◽  
A Valle-Fimbres ◽  
H Bernal Barragán ◽  
L Camacho ◽  
...  

2014 ◽  
Vol 54 (9) ◽  
pp. 1305
Author(s):  
S. M. Robertson

The relationship between pasture height and mass influences the availability of pasture for grazing, and is important for predicting intake of pasture and liveweight change by sheep. The relationship between pasture mass and structure and sheep production is poorly defined for low-mass, clumpy pastures in low-rainfall regions. Between 2001 and 2004, 480 quadrats of pastures were measured in 23 paddocks throughout the Victorian Mallee. Pasture height was related to live mass for medic (linear; r2 = 0.70; P < 0.001) and grassy medic (asymptotic; r2 = 0.64; P < 0.001) pastures, and prediction of grassy medic pasture height was improved by inclusion of proportion live groundcover. During 2004, pasture dry matter accumulation and liveweight changes in sheep grazing annual pastures were measured and compared with predicted outputs from GrazFeed, a software model used to estimate feed intake and liveweight change in sheep. Improved predictions of liveweight gain in grazing sheep were obtained using measured height rather than the GrazFeed default height. The results show that the height to mass relationship of annual pastures in the Victorian Mallee differs between pasture types, between years, and may differ from other published relationships. This study provides information that may assist in the development of models of grazing systems.


1970 ◽  
Vol 100 (5) ◽  
pp. 565-572 ◽  
Author(s):  
F. W. Thye ◽  
R. G. Warner ◽  
P. D. Miller

1995 ◽  
Vol 74 (5) ◽  
pp. 617-634 ◽  
Author(s):  
Jan Dijkstra ◽  
Seerp Tamminga

A previously described mathematical model, that simulates the metabolic activities of rumen bacteria and protozoa, was used to examine the contribution of protozoa to neutral-detergent fibre (NDF) degradation in the rumen of cattle. Comparisons between predicted and experimentally observed NDF degradation showed general agreement. Further simulations were performed with diets containing variable proportions of concentrate (between 0 and 1 kg/kg diet DM) and at intake levels ranging between 5·3 and 21·0 kg DM/d. The simulated protozoal contribution to NDF degradation was 17–21% at the lowest intake level. Except for the all-concentrate diets, raising the feed intake level reduced this contribution to 5–3% at the highest intake level. The changes in contribution of protozoa to NDF degradation were related to variations in the fibrolytic bacteria: protozoa value and the NDF-degrading activities of protozoa predicted by the model. In simulations where dietary NDF levels were reduced and starch and sugar levels were increased independently, protozoal contribution to NDF degradation generally increased. These differences were reflected also in the generally increased protozoal contribution to NDF degradation predicted in response to a decreased roughage:concentrate value. The contribution of protozoa also generally declined in response to added N. These changes in predicted protozoal contribution to NDF degradation resulting from dietary variations provided possible explanations for the differences in rumen NDF degradation observed when animals are defaunated.


2014 ◽  
Vol 193 ◽  
pp. 32-43 ◽  
Author(s):  
K.J. Hammond ◽  
D. Pacheco ◽  
J.L. Burke ◽  
J.P. Koolaard ◽  
S. Muetzel ◽  
...  

2011 ◽  
Vol 10 (9) ◽  
pp. 1112-1116 ◽  
Author(s):  
R.M. Rincon-Del ◽  
H. Gutierrez- ◽  
E.D. Perez-Vazq ◽  
A. Muro-Reyes ◽  
L.H. Diaz-Garci ◽  
...  

2019 ◽  
Vol 73 (2) ◽  
pp. 140-157 ◽  
Author(s):  
Shimels Eshete Wassie ◽  
Asep Indra Munawar Ali ◽  
Daniel Korir ◽  
Klaus Butterbach-Bahl ◽  
John Goopy ◽  
...  

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