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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
27/08/1997 |
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Data da última atualização: |
28/03/2011 |
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Autoria: |
OLTJEN, J. W.; GEORGE, M. R.; DRAKE, D. J. |
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Afiliação: |
University of California; University of California; University of California. |
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Título: |
Dynamic allocation of multiple forage sources for beef cattle herds. |
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Ano de publicação: |
1992 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE, 4., 1992, Orlando. Computers in agricultural extension programs: Proceedings... St. Joseph, MI: ASAE, 1992. |
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Páginas: |
p. 59-63. |
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Idioma: |
Inglês |
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Conteúdo: |
Matching beef herd requirements with feed resources over time increases in complexity with the number of forage types. We developed a spreadsheet to calculate animal requirements through time and show how available forages might meet herd needs. This identifies periods when animal requirements exceed forage availability. Weekly intervals were used to specify animal requirements and forage availability. Animal classes and initial weights, frame sizes, target gains, pregnancy rate, weaning rate, and dates of calving and weaning are input. Animal weights, stage of gestation and lactation, breeding period and metabolizable energy (ME) requirements are estimated weekly. Up to 15 typical forage sources are input with expected dates available for grazing and yields. Supplement needs are the difference between weekly ME requirements and yields from grazing converted to ME. Results are shown by spreadsheet associated graphs depicting ME needs by animal class, ME available by forage type, excess forage ME available or supplement needs over time. Costs can be compared for different input values and, in particular, for alternative dates of calving and/or weaning. As a longer-term planning tool, more optimal mixes of forage resources can be identified. |
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Palavras-Chave: |
Agroinformática; Beef cattle herds; Forage sources; Tecnologia de informação na agricultura. |
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Thesaurus Nal: |
Information technology. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01968naa a2200217 a 4500
001 1004551
005 2011-03-28
008 1992 bl uuuu u00u1 u #d
100 1 $aOLTJEN, J. W.
245 $aDynamic allocation of multiple forage sources for beef cattle herds.
260 $c1992
300 $ap. 59-63.
520 $aMatching beef herd requirements with feed resources over time increases in complexity with the number of forage types. We developed a spreadsheet to calculate animal requirements through time and show how available forages might meet herd needs. This identifies periods when animal requirements exceed forage availability. Weekly intervals were used to specify animal requirements and forage availability. Animal classes and initial weights, frame sizes, target gains, pregnancy rate, weaning rate, and dates of calving and weaning are input. Animal weights, stage of gestation and lactation, breeding period and metabolizable energy (ME) requirements are estimated weekly. Up to 15 typical forage sources are input with expected dates available for grazing and yields. Supplement needs are the difference between weekly ME requirements and yields from grazing converted to ME. Results are shown by spreadsheet associated graphs depicting ME needs by animal class, ME available by forage type, excess forage ME available or supplement needs over time. Costs can be compared for different input values and, in particular, for alternative dates of calving and/or weaning. As a longer-term planning tool, more optimal mixes of forage resources can be identified.
650 $aInformation technology
653 $aAgroinformática
653 $aBeef cattle herds
653 $aForage sources
653 $aTecnologia de informação na agricultura
700 1 $aGEORGE, M. R.
700 1 $aDRAKE, D. J.
773 $tIn: INTERNATIONAL CONFERENCE, 4., 1992, Orlando. Computers in agricultural extension programs: Proceedings... St. Joseph, MI: ASAE, 1992.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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