*Correspondence Email: arpan.stat@gmail.com Hkk-—-v u q -i -& Hkkj r h; —f"k l ka f[ ; d h v uq l a / kku l a LFkku ] u bZ fn Yy h& 110 012] Hkkj r Hkkj r h; d ` f"k v uq la /kku i f= d k] 34¼2½% 139& 141] 2019 Bhartiya Krishi Anushandhan Patrika, 34 (2): 139-141, 2019 ç Lr ko u k vuq fØ; k l r g i ) fr d bZ O ; k[ ; kRed pj v kS j ,d ;k ,d ls v f/kd v uq fØ;k pj ds chp l a ca / kks a dh i M+ rky djus ds fy , mi ; ks x fd ; k t kr k gS A ; g fof/k c ‚ Dl v kS j foYl u } kj k 1951 es a is ' k fd ; k x; k FkkA ; g mu fLFkfr ; ks a es a mi ; ks x fd ; k t kr k gSt g ka d bZ bui q V pj DOI: 10.18805/BKAP170 çfr os ' kh ç Hkkoks a d ks l fEefy r d j us oky h fj Li ‚U l ljQs ls l ds la ; ks t u gs rq l ka f[ ; d h; v fHkd Yi uk, ¡ ft rs a æ d q ekj ] l he k t Xx h] , Ynks ox hZ l] viZ . k HkkS fe d * , oa fl uh ox hZ l Hkk-—-v u q -i -& Hkkj r h; —f"k l ka f[ ; d h v uq la / kku l a LFkku ] u b Z fn Yy h& 110 012] Hkkj r iz kIr %ekp Z2019 Lohd ` r%viS y 2019 l kj ka 'k fj Li ka l l j Qs l i) fr ¼v kj -, l -, e -½, d ; k v f/kd çfr fØ; k p j ks a, oaç; ks x kRed p j ks a ;k dkjdks ads,d l s V d s chp l a ca /k d k v uq eku y xkr h gS A v ker kS j i j ] v kj -, l -, e es a ; g ekuk t kr k gS fd çs { k. k Lo r U= g S a r Fkk çfr os ' kh bd kb; ks a dk dks bZ ç Hkko u ghagS A ys fd u , s l h fLFkfr es at c bd kb; ks ad ksfc u k fd l h v Ur j ky d sj S f[ kd : i l sj [ kk t kr k gS ] o g k¡ fud Vor hZ bd kb; ks a ls v ks oj y S fi a x ; k çfr os ' kh ç Hkkoks a d h mPp l EHkkou k gks rh gS A b l fy , i j h{k.k d h i fj ' kq ) r k d k fu.kZ ; ys uses a ] e‚My es a b u ç Hkko ks a d ks' kkfey d j u k c gq r gh egRoi w . kZ gS A b l ds v fr fj ä ] i j h{k.k l a p kfy r d j us ds fy , ] l a l k/ku ks a dh miyC /kr k , oa i j h{k.k d k v kd kj , d egRoi w . kZ d kj d gS A t S ls &t S lsv kd kj c<+ r k gS ] i j h{k.k l a pkfyr djuses a ' kkfe y y kxr es a o` f) g ks rh gS ] ft l l si j h{k.k d h l Vhd r k d e gkst kr h gS A b l v /; ; u es a çfr os ' kh ç Hkkoks a d ks' kkfey d j u soky s fj Li ka l l j Qs l v fHkd Yi ukv ks ai j fopkj fd ; k x; k gS A j uks ad h Nks Vh l a [;k es afMÝ s fU ' k; y çfr os ' kh ç Hkkoksal fgr çFke v kMZ j jks Vs cy v fHkd Yi uk, ¡ ¼ FORDDNE½fod fl r d h x; ha gS a A Statistical designs for fitting response surfaces incorporating neighbour effects Jitendra Kumar, Seema Jaggi, Eldho Varghese, Arpan Bhowmik* and Cini Varghese ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110 012, India. Received: March 2019 Accepted: April 2019 ABSTRACT Response Surface Methodology (RSM) approximates the relationship between one or more response variables and a set of experimental variables or factors. In RSM, it is generally assumed that the observations are independent and there is no effect of neighbouring units. But under the situation when the units are placed linearly with no gaps there is high possibility of overlapping or neighbour effects from the adjacent units. So including these effects into the model is of great importance in deciding the precision of the experiment. Further, availability of resources and size of the experiment is important factor in conducting an experiment. As the size increases, cost involved in conducting the experiment increases, thereby decreasing the precision of the experiment. In this study, response surface designs incorporating neighbour effects have been considered. Method of constructing First Order Rotatable Designs with Differential Neighbour Effects (FORDDNE) has been developed in smaller number of run s.