Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
The quality of commercial wheat silages in Israel
Year:
2009
Source of publication :
Journal of Dairy Science
Authors :
Hen, Yaira
;
.
Weinberg, Zvi G.
;
.
Volume :
92
Co-Authors:
Weinberg, Z.G., Department of Food Science, Agricultural Research Organization, Volcani Center, PO Box 6, Bet Dagan 50250, Israel
Chen, Y., Department of Food Science, Agricultural Research Organization, Volcani Center, PO Box 6, Bet Dagan 50250, Israel
Solomon, R., Department of Dairy Cattle, Extension Service, Israeli Ministry of Agriculture and Rural Development, Bet Dagan 50250, Israel
Facilitators :
From page:
638
To page:
644
(
Total pages:
7
)
Abstract:
Wheat silages are the major roughage for high-producing lactating dairy cows in Israel; therefore, their quality is important. The main objective of the current study was to determine the preservation status and nutritional quality of commercial wheat silages in Israel. An additional objective was to develop predictive equations for dry matter digestibility (DMD) and neutral detergent fiber digestibility (NDFD) based on chemical composition of the silages, which would permit estimation of the digestibility from chemical composition. A total of 143 commercial wheat silages were sampled and analyzed for 3 yr. Fourteen random samples that were not included in the regression analysis were used to validate the equations by the bias and error of the model. Results revealed that wheat silages were quite sensitive to aerobic exposure; additives resulted in some improvement of the aerobic stability. After choosing the significant terms from ash, crude protein (CP), NDF, acid detergent fiber (ADF), and acid detergent lignin (ADL) by PROC STEPWISE of SAS, the following prediction equations were obtained from all 143 samples: DMD = 86.3 + (0. 70 x CP) - (0.46 x ADF) - (1.67 x ADL); and NDFD = 20.3 + (1.00 x CP) + (1.16 x NDF) - (0.88 x ADF) - (2.25 x ADL). The bias and the error of the prediction model for DMD were approximately 0.006 and 0.065, respectively; the bias and error for NDFD were approximately 0.007 and 0.118, respectively. It was concluded that the prediction model for DMD was quite adequate, whereas that for NDFD was less acceptable. © American Dairy Science Association, 2009.
Note:
Related Files :
chemistry
Digestibility
Israel
nutritive value
Reproducibility of Results
standard
Triticum
Triticum aestivum
Show More
Related Content
More details
DOI :
10.3168/jds.2008-1120
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
29009
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:43
Scientific Publication
The quality of commercial wheat silages in Israel
92
Weinberg, Z.G., Department of Food Science, Agricultural Research Organization, Volcani Center, PO Box 6, Bet Dagan 50250, Israel
Chen, Y., Department of Food Science, Agricultural Research Organization, Volcani Center, PO Box 6, Bet Dagan 50250, Israel
Solomon, R., Department of Dairy Cattle, Extension Service, Israeli Ministry of Agriculture and Rural Development, Bet Dagan 50250, Israel
The quality of commercial wheat silages in Israel
Wheat silages are the major roughage for high-producing lactating dairy cows in Israel; therefore, their quality is important. The main objective of the current study was to determine the preservation status and nutritional quality of commercial wheat silages in Israel. An additional objective was to develop predictive equations for dry matter digestibility (DMD) and neutral detergent fiber digestibility (NDFD) based on chemical composition of the silages, which would permit estimation of the digestibility from chemical composition. A total of 143 commercial wheat silages were sampled and analyzed for 3 yr. Fourteen random samples that were not included in the regression analysis were used to validate the equations by the bias and error of the model. Results revealed that wheat silages were quite sensitive to aerobic exposure; additives resulted in some improvement of the aerobic stability. After choosing the significant terms from ash, crude protein (CP), NDF, acid detergent fiber (ADF), and acid detergent lignin (ADL) by PROC STEPWISE of SAS, the following prediction equations were obtained from all 143 samples: DMD = 86.3 + (0. 70 x CP) - (0.46 x ADF) - (1.67 x ADL); and NDFD = 20.3 + (1.00 x CP) + (1.16 x NDF) - (0.88 x ADF) - (2.25 x ADL). The bias and the error of the prediction model for DMD were approximately 0.006 and 0.065, respectively; the bias and error for NDFD were approximately 0.007 and 0.118, respectively. It was concluded that the prediction model for DMD was quite adequate, whereas that for NDFD was less acceptable. © American Dairy Science Association, 2009.
Scientific Publication
נגישות
menu      
You may also be interested in