| 000 | 01783nam a22004217a 4500 | ||
|---|---|---|---|
| 001 | G75917 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919021056.0 | ||
| 008 | 121211s ||||f| 0 p|p||0|| | | ||
| 020 | _a970-648-096-X | ||
| 040 | _aMX-TxCIM | ||
| 072 | 0 | _aF01 | |
| 072 | 0 | _aU10 | |
| 082 | 0 | 4 |
_a633.1553 _bBEL |
| 100 | 1 |
_aCoe, R. _uQuantitative analysis of data from participatory methods in plant breeding |
|
| 245 | 0 | 0 | _aAnalyzing ranking and rating data from participatory on-farm trials |
| 260 |
_aMexico, DF (Mexico) _bCIMMYT : _c2002 |
||
| 300 | _ap. 44-65 | ||
| 340 | _aPrinted | ||
| 500 | _aTables | ||
| 520 | _aResponses in participatory on-farm trials are often measured as ratings (scores on an ordered but arbitrary scale) or rankings (respondents are simply asked to order treatments). Usual analysis of variance and linear model based analyses are not appropriate for these data. Alternative analyses based on generalized linear models are described in this paper. These methods can be success.ful1y used when trial designs are irregular-a common characteristic of participatory trials-and when covariates are measured on each plot or farm in order to identify genotype x environment interaction. | ||
| 546 | _aEnglish | ||
| 591 | _a0109|AGRIS 0201|AL-Economics Program|R02CIMPU | ||
| 593 | _aJuan Carlos Mendieta | ||
| 595 | _aCPC | ||
| 650 | 1 | 0 |
_aAgroforestry _92210 |
| 650 | 1 | 0 | _aAnalytical methods |
| 650 | 1 | 7 |
_aCrop yield _gAGROVOC _2 _91066 |
| 650 | 1 | 0 | _aData analysis |
| 650 | 1 | 0 | _aFarmers associations |
| 650 | 1 | 7 |
_aRice _gAGROVOC _2 _91243 |
| 650 | 1 | 0 |
_aVariety trials _92474 |
| 653 | 0 | _aCIMMYT | |
| 650 | 1 | 0 |
_91952 _aSoil fertility _gAGROVOC |
| 650 | 1 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
| 700 | 1 |
_aBellon, M.R.|Reeves, J. _eeds. |
|
| 942 | _cBK | ||
| 999 |
_c5626 _d5626 |
||