The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material
The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately descr...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1987 |
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| Reproduktion: |
Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 |
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| Übergeordnetes Werk: |
in: Journal of Stored Products Research - Amsterdam : Elsevier, 23(1987), 4, Seite 223-231 |
| Übergeordnetes Werk: |
volume:23 ; year:1987 ; number:4 ; pages:223-231 |
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| 245 | 1 | 4 | |a The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material |
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| 520 | |a The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. | ||
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(DE-627)NLEJ188629017 (DE-599)GBVNLZ188629017 DE-627 ger DE-627 rakwb eng The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material 1987 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Reed, C. oth in Journal of Stored Products Research Amsterdam : Elsevier 23(1987), 4, Seite 223-231 (DE-627)NLEJ188619941 (DE-600)1498359-X 0022-474X nnns volume:23 year:1987 number:4 pages:223-231 http://dx.doi.org/10.1016/0022-474X(87)90006-3 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 23 1987 4 223-231 |
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(DE-627)NLEJ188629017 (DE-599)GBVNLZ188629017 DE-627 ger DE-627 rakwb eng The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material 1987 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Reed, C. oth in Journal of Stored Products Research Amsterdam : Elsevier 23(1987), 4, Seite 223-231 (DE-627)NLEJ188619941 (DE-600)1498359-X 0022-474X nnns volume:23 year:1987 number:4 pages:223-231 http://dx.doi.org/10.1016/0022-474X(87)90006-3 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 23 1987 4 223-231 |
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(DE-627)NLEJ188629017 (DE-599)GBVNLZ188629017 DE-627 ger DE-627 rakwb eng The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material 1987 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Reed, C. oth in Journal of Stored Products Research Amsterdam : Elsevier 23(1987), 4, Seite 223-231 (DE-627)NLEJ188619941 (DE-600)1498359-X 0022-474X nnns volume:23 year:1987 number:4 pages:223-231 http://dx.doi.org/10.1016/0022-474X(87)90006-3 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 23 1987 4 223-231 |
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(DE-627)NLEJ188629017 (DE-599)GBVNLZ188629017 DE-627 ger DE-627 rakwb eng The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material 1987 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Reed, C. oth in Journal of Stored Products Research Amsterdam : Elsevier 23(1987), 4, Seite 223-231 (DE-627)NLEJ188619941 (DE-600)1498359-X 0022-474X nnns volume:23 year:1987 number:4 pages:223-231 http://dx.doi.org/10.1016/0022-474X(87)90006-3 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 23 1987 4 223-231 |
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(DE-627)NLEJ188629017 (DE-599)GBVNLZ188629017 DE-627 ger DE-627 rakwb eng The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material 1987 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. Elsevier Journal Backfiles on ScienceDirect 1907 - 2002 Reed, C. oth in Journal of Stored Products Research Amsterdam : Elsevier 23(1987), 4, Seite 223-231 (DE-627)NLEJ188619941 (DE-600)1498359-X 0022-474X nnns volume:23 year:1987 number:4 pages:223-231 http://dx.doi.org/10.1016/0022-474X(87)90006-3 GBV_USEFLAG_H ZDB-1-SDJ GBV_NL_ARTICLE AR 23 1987 4 223-231 |
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precision and accuracy of the standard volume weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the thousand grain mass method in wheat containing fine material |
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The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material |
| abstract |
The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. |
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The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. |
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The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ188629017</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707103742.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070506s1987 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ188629017</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVNLZ188629017</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The precision and accuracy of the Standard Volume Weight method of estimating dry weight losses in wheat, grain sorghum and maize, and a comparison with the Thousand Grain Mass method in wheat containing fine material</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1987</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The accuracy and precision of the Standard Volume Weight (SVW) method of estimating dry weight loss of grain with and without a special grain cleaning procedure were tested using wheat, grain sorghum, and maize. The baseline relationship between bulk density and moisture content was adequately described by a straight line between 10.0 and 16.0% moisture content, but a curvilinear model was significantly less variable in all wheat lots tested and in four of the seven lots of maize. The precision of the SVW method was greater when used with wheat than when used with the other grains but did not directly predict observed loss except in cleaned wheat. Conversion factors were employed to convert SVW estimates to observed loss. The SVW method of loss estimation was found to be less variable than the Thousand Grain Mass (TGM) method on six lots of wheat with and without fine material. Both SVW and TGM were reduced by the addition of fine material, but TGM was affected more than SVW.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Elsevier Journal Backfiles on ScienceDirect 1907 - 2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Reed, C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Journal of Stored Products Research</subfield><subfield code="d">Amsterdam : Elsevier</subfield><subfield code="g">23(1987), 4, Seite 223-231</subfield><subfield code="w">(DE-627)NLEJ188619941</subfield><subfield code="w">(DE-600)1498359-X</subfield><subfield code="x">0022-474X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:23</subfield><subfield code="g">year:1987</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:223-231</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1016/0022-474X(87)90006-3</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_H</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SDJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">23</subfield><subfield code="j">1987</subfield><subfield code="e">4</subfield><subfield code="h">223-231</subfield></datafield></record></collection>
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