| 000 | 01220nab a22003857a 4500 | ||
|---|---|---|---|
| 999 |
_c25305 _d25305 |
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| 001 | G81347 | ||
| 003 | MX-TxCIM | ||
| 005 | 20210518202439.0 | ||
| 008 | 200503s2005||||xxk|||p|op||||00||0|eng|d | ||
| 022 | _a0261-2194 | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.cropro.2004.07.013 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 072 | 0 | _aE73 | |
| 072 | 0 | _aH10 | |
| 090 | _aCIS-4361 | ||
| 100 | 1 |
_aOzberk, I. _918319 |
|
| 245 | 1 | 0 |
_aThe effect of sunn pest (Eurigaster integriceps) damage on durum wheat : _bimpact in the marketplace |
| 260 |
_aUnited Kingdom : _bElsevier, _c2005. |
||
| 340 | _aComputer File|Printed | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0261-2194 | ||
| 500 | _aPeer review | ||
| 520 | _aThis study looked at the factors, affecting the price estimation of durum wheat in the commodity market in Sanliurfa, Turkey. The study was carried out in June and July of 2003 using a randomized complete block design with 3 factors (traders, varieties and purchase time) and 4 replications. The variance analysis results indicated that all factors (traders, varieties and weekly market prices) and interactions were found to be significant statistically. Some visual characteristics of grain lots subjected to study were scored in laboratory and the relationship between market pricing and those characteristics were further investigated through correlation/path and regression analysis. These results showed the presence of statistically significant positive correlations between marketing price and vitreousness (r=0.313*). Although, it was negative for starchy grain (r=−0.472**), sunn pest damaged kernels (r=−0.608**) and other cereals (r=−0.487** to −0.456**). It was concluded that amber grain and semolina colour and kernel vitreousness increased market prices whereas increasing yellow berry, starchy grain, sunn pest damaged kernel and other contaminants (barley grains and red kernels of bread wheat) affected it negatively. Some regression equations, obtained from this study might be used for price estimation in such commodity markets and as practical guidance for plant breeding programmes. | ||
| 546 | _aText in English | ||
| 591 | _a0503|Elsevier|AL-Wheat Program | ||
| 650 | 7 |
_aHard wheat _2AGROVOC _91142 |
|
| 650 | 7 |
_aPrices _2AGROVOC _95255 |
|
| 650 | 7 |
_aPests of plants _2AGROVOC _91201 |
|
| 650 | 7 |
_aCommodity markets _2AGROVOC _96739 |
|
| 650 | 7 |
_aPurchasing _2AGROVOC _913581 |
|
| 700 | 1 |
_aAtli, A. _918320 |
|
| 700 | 1 |
_aPfeiffer, W.H. _9648 |
|
| 700 | 1 |
_aOzberk, F. _918321 |
|
| 700 | 1 |
_aCoskun, Y. _918322 |
|
| 773 | 0 |
_tCrop Protection _n630710 _gv. 24, no. 3, p. 267-274 _dUnited Kingdom : Elsevier, 2005. _wu444112 _x0261-2194 |
|
| 856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/1457 _yAccess only for CIMMYT Staff |
|
| 942 |
_cJA _2ddc _n0 |
||