000			01861nab a22003137a 4500
001			G68926
003			MX-TxCIM
005			20230424194140.0
008			121211b |||p||p||||||| |z||| |
022			_a0021-8596
022			_a1469-5146 (Online)
024			_2https://doi.org/10.1017/S0021859600083891
040			_aMX-TxCIM
041			_aeng
090			_aREP-1342
100	1		_aPatterson, H.D. _930064
245	1	0	_aThe factorial combination of treatments in rotation experiments
260			_c1965. _aUnited Kingdom : _bCambridge University Press,
340			_aPrinted
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0021-8596
520			_aThe paper deals with points arising in the design of factorial schemes for incorporating fertilizer and other treatments in rotation experiments. These schemes make extensive use of fractional replication and confounding, including split-plot confounding. They are complicated by the need to apply some treatments cumulatively and others with levels changed between plots in successive cycles so as to minimize errors due to constant plot differences. Design keys are used to identify the treatment main effects and rotation differences with particular plot contrasts. The keys exhibit the structure of a design more compactly and clearly than a complete enumeration of identities and confounded contrasts and enable treatment combinations to be generated systematically.
546			_aText in English
595			_aRPC
650		7	_2AGROVOC _94432 _aExperimentation
650		7	_2AGROVOC _91807 _aCrop rotation
650		7	_2AGROVOC _927714 _aFactorial analysis
773	0		_tJournal of Agricultural Science _gv. 65, no. 2, p. 171-182 _dUnited Kingdom : Cambridge University Press, 1965. _wG444500 _x0021-8596
942			_cJA _2ddc
999			_c19577 _d19577