ITS IN...

5
E.ALBA 1, A. BENVENUTI2, R. TUBEROSA 3, G. P. VANNOZZIz (Italy) INTRODUCTION The amount of inform,ation c'ontaine'd in any correlati,on coeffi,cient sometim,es gives inade- quate r,esults, especially whe'n the 'bre,e,d,er ap- plies an inrdirrec't s'election upon yi,eXd (e.g. se- I'ection on hea,d diam'et,er to improve yidld) dis- r'eganding the in'dir'e'ct etffercts of the ,charâct'er unrder seleation up'on the ottr'er tr,aits, whos,e bre,e,ding valu'es are som'ehow associaterd with thât of the sele,cted ctraracrtre'r. Ther.eforre a sLlcic,essful breedring prognamm,e relies on a goord knowledge about all the in- fluen,ses of the main bio-rnorrpholo,girc.arl" ,cha- racters on yieJld ; su'ch a go,al may b'e at'lain,e,d using path rcoef'ficient anal-ysis, namely a stan- darrdized partial r,egnessi'on analysis whi;ch p,er- rnits rto pantition the influrena,e of th,e câu,sâI factors into direct and indirect effects, thus indicating the real association among the in- vestigated traits. The me;tlhod, d,evdlo'p,ed by Wright (1921, 1923) further discused by Li (1956) and Wright (1960) has been widely ernploy,e,d ,by bre,eders (Derwey & Lu, 1959 ; Liang &Rie,dl, 1964 ; Por- ce,dldrl, 1966 ; Bhatt, 1973). Neverittretress many studies have rbe,en aon- dusterd i,n sr.rnflower 'to i;nv,estigat'e correlations b,etw,een olil yield components anrd oth'er cha- racters (Skoriè, 1974 ; Kloczowski, 1974 ; McWiil,liam & Engli,sh, 1978) but little res'earch has b,esrr done with ith'e us,e of path analysis (ALha & Gr€,co, 1979). I Istitudo di Miglioramento Genetico delle Piante Agrarie, Via Amendola 165, 70126 Bari, Italia. z Istituto di Agronomia Generale a Coltivazioni Erbacee, Via S. Michele degli Scalzi 4, Pisa, Italia. 3 Università di Bologna, Instituto di Agronomia, Via Filippo Re 6, Bologna, Italia. A PATH COEFFICIEI\{T ANALYSIS OF SOME YIBLD COMPONRI\ITS IN STJNFLOWER This study atrtempts t'o oontrirbute in rd'eJi- nirlg the influence oif the main ibio-morpfrrolo- gic,a,l charaicters upon oil yield on a sample of 17 cultlivars ,of sunftrower. MATERIALS AND METHODS The experiments consisted of 2 field trials with 17 cultivars (16 hybrids f 1 open polli- nât,erd variety) and were conrdu,cte,d as parb of the F.A.O. R,eseanch Netvr'ork on Sunflow,er. Plants ,were ,grown during 1978 in 2 loca- lities (Bari and Pisa) 'und'er noffnal agronomic ,conditions I tha €xprerim,ental desi'gn u'ttiLlized was a ranrdiomiz'e,d block with four :ieplications in each lo'cati,on. iPtrots were 8.7 rn X 3.6 m (6 rows of 29 plants) with plants srpacerd 30 cm within each row. Each ptrot value is b,aseid upon th'e mêan of 100 plantts of tLre 4 rc,entral rows. The dharacters investtigiate'd fu'r this stu'dy were: d,ays to ,flowerinrg i(d), planlt heirght (cm), head tdiam'eter (cm), se'ed yield (q/ha), 1,000- se,ed weight (rg), oil rconten't of th'e seerd (%), oil yield (q/,ha). Vanietal (ry ) and einvironm'ental (ru ) corr'e- I,ation ,coreffi'cients were computed on aTl com- binations of tthe 7 ,characberrs, acco,rding to the fo'rmulae : Covlvyi,; ,Iv - /Vp;i, XY oti Cov(e)i, j 'r^: IV<"liX V<eli where Cov(t), V1vyi, V1v;; are the 'oovarianrce and mean square of the varieties and Covlg), V 1eyi, V(elj are the corrrarianse and m'aan square of the error. Path coefficiemts were ,oomputed with the solution of simultaneous equa;tions through the metho'd of treast squares as shown by Dewey & Lu (1e5e). 25

Transcript of ITS IN...

Page 1: ITS IN STJNFLOWERisasunflower.org/fileadmin/documents/HELIA_issues/Helia02/HELIA_2_-_PAGE_25.pdfrnits rto pantition the influrena,e of th,e câu,sâI factors into direct and indirect

E.ALBA 1, A. BENVENUTI2, R. TUBEROSA 3,

G. P. VANNOZZIz (Italy)

INTRODUCTION

The amount of inform,ation c'ontaine'd in anycorrelati,on coeffi,cient sometim,es gives inade-quate r,esults, especially whe'n the 'bre,e,d,er ap-plies an inrdirrec't s'election upon yi,eXd (e.g. se-I'ection on hea,d diam'et,er to improve yidld) dis-r'eganding the in'dir'e'ct etffercts of the ,charâct'erunrder seleation up'on the ottr'er tr,aits, whos,ebre,e,ding valu'es are som'ehow associaterd withthât of the sele,cted ctraracrtre'r.

Ther.eforre a sLlcic,essful breedring prognamm,erelies on a goord knowledge about all the in-fluen,ses of the main bio-rnorrpholo,girc.arl" ,cha-

racters on yieJld ; su'ch a go,al may b'e at'lain,e,dusing path rcoef'ficient anal-ysis, namely a stan-darrdized partial r,egnessi'on analysis whi;ch p,er-rnits rto pantition the influrena,e of th,e câu,sâIfactors into direct and indirect effects, thusindicating the real association among the in-vestigated traits.

The me;tlhod, d,evdlo'p,ed by Wright (1921,1923) further discused by Li (1956) and Wright(1960) has been widely ernploy,e,d ,by bre,eders(Derwey & Lu, 1959 ; Liang &Rie,dl, 1964 ; Por-ce,dldrl, 1966 ; Bhatt, 1973).

Neverittretress many studies have rbe,en aon-dusterd i,n sr.rnflower 'to i;nv,estigat'e correlationsb,etw,een olil yield components anrd oth'er cha-racters (Skoriè, 1974 ; Kloczowski, 1974 ;

McWiil,liam & Engli,sh, 1978) but little res'earchhas b,esrr done with ith'e us,e of path analysis(ALha & Gr€,co, 1979).

I Istitudo di Miglioramento Genetico delle PianteAgrarie, Via Amendola 165, 70126 Bari, Italia.

z Istituto di Agronomia Generale a ColtivazioniErbacee, Via S. Michele degli Scalzi 4, Pisa, Italia.

3 Università di Bologna, Instituto di Agronomia, ViaFilippo Re 6, Bologna, Italia.

A PATH COEFFICIEI\{T

ANALYSIS OF SOME

YIBLD COMPONRI\ITS

IN STJNFLOWER

This study atrtempts t'o oontrirbute in rd'eJi-nirlg the influence oif the main ibio-morpfrrolo-gic,a,l charaicters upon oil yield on a sampleof 17 cultlivars ,of sunftrower.

MATERIALS AND METHODS

The experiments consisted of 2 field trialswith 17 cultivars (16 hybrids f 1 open polli-nât,erd variety) and were conrdu,cte,d as parb ofthe F.A.O. R,eseanch Netvr'ork on Sunflow,er.

Plants ,were ,grown during 1978 in 2 loca-lities (Bari and Pisa) 'und'er noffnal agronomic,conditions I tha €xprerim,ental desi'gn u'ttiLlizedwas a ranrdiomiz'e,d block with four :ieplicationsin each lo'cati,on.

iPtrots were 8.7 rn X 3.6 m (6 rows of 29plants) with plants srpacerd 30 cm within eachrow. Each ptrot value is b,aseid upon th'e mêanof 100 plantts of tLre 4 rc,entral rows.

The dharacters investtigiate'd fu'r this stu'dywere: d,ays to ,flowerinrg i(d), planlt heirght (cm),head tdiam'eter (cm), se'ed yield (q/ha), 1,000-se,ed weight (rg), oil rconten't of th'e seerd (%),oil yield (q/,ha).

Vanietal (ry ) and einvironm'ental (ru ) corr'e-I,ation ,coreffi'cients were computed on aTl com-binations of tthe 7 ,characberrs, acco,rding to thefo'rmulae :

Covlvyi,;,Iv -

/Vp;i, XY oti

Cov(e)i, j'r^:

IV<"liX V<eli

where Cov(t), V1vyi, V1v;; are the 'oovarianrceand mean square of the varieties and Covlg), V 1eyi,V(elj are the corrrarianse and m'aan square ofthe error.

Path coefficiemts were ,oomputed with thesolution of simultaneous equa;tions through themetho'd of treast squares as shown by Dewey& Lu (1e5e).

25

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RESULTS AND DISCUSSION

ANALYSI,S OF THF CORREI]ATIONS

Table 1 reports the vari'etal (ru ) anrd envi-ronmenta[ (r" ) correlations for a1l possiblecombfunati,ons among the inv,estigated traits ;

1àtrtti

of August are generally severe. This is pro-bably the cause of the contrast b'e,tween ourresults a,nrd those obtained by other resear-chens operating 'in 'differcnt environmentalisonditions.

Rather interes'tiing was th,e 'positive asso,cia-tion (r" : 0.555) between seed yidrd and oil

-0.656 *

-0.063

-0.228-0.028

0.169

-0.065

0.014

0.107

0.3?9

0.216 *

-0.041-0.051

-0.8680.039

0.555 *

0.060

-0.169-0.150

-0.026-0.027

-0.340-0.059

-0.2570.317 +E

0.954 **

0.951 **

-0.0130.056

0.774 **

0.344 x*

contenrt, while n.one of the remaining charac-ters, excluding oil yield, sfrrowed a si,gnifieantassociation with oil content in the s,eed.

PATH ANALYSiS

Each path analysis involves the assumption,;base'd upon a .priori, evi'd'ence, o,f a prrecisecause-effeot situa'tion between the varia;bles.The model presented in Fiigure 1 was a directcon'sequ,ence of the fact t,h^at oil yield origi-nated frorn the proiduct between seed yieldand oil rc'on'tent, whereas the rernai,ninrg cha-racders iin,fluenced oi1 yield throu,gh seed yieJrdand oil contrentt. This assurnpttion did nort imptrythe quantifi,oati,on of a s,imultaneous action ofthe causal variaibles upon oiJ. yietrd via s'eerdyield and oil ,content ; in f'act the rnath,ema-tical solution of such a mo,de1 with path-oo-efficients was not p'ossible.

In ,the path 'd,iagrarn, singùe-arnowe'd lines

indicate unilateral direct effect as expressed,by path ,coefficienrts, while do,u,ble*ar"roweidIines rdenote mutural association âmong ttre cau-sal variable,s.

Conrsidering the direct a,ctio,n of seed yield(P : 0.758) and oil co,ntent (P : 0.353) on oil

Table 1

Varietal (r,r) and environmental (ru) correlations &mong oil yieltl and six charactersin sunflower-. Q .n _

')

Character

7tt+Seedyietd(q/ha)

flowering

Plantheight

Head

diameter

Seed

yield

1,000 seed

0.660

-0.011r

r

r,-l-^

rt

rt^

rfcontent

in this sturdy only ry has ,been utilized ftor thecomputation of path ooeffiiciemts. In fac't esti-mat'es of g,enetic corr,el,abions arre subject tolarge sampJliqg errors and rersult ttr,er'efone sel-dom v'ery precis,e (Fal,coner, 1964).

Th'e characters most stron'g[y associate'd withoil yieltd wer€, as expocte,d, seed yietrC (rv:: 0.954) and oil eonttenÉ (r": 0.774), wher,easthe rsmaining traits were no't co'rrelatedsignificantly with oil yield. Th,ese fi,nding'swere obtained in the s,eparat'e analysis of thelorcations, confirming tilee validity of a poole'danalysis.

A signifitca,nt positive association (ru: 0.660)w;as exih'ibited hy days to flowering with plantheLight ; the former trait show,eld al,so a signi-fioarnt negative 'correlati'on (ru : 0.6S0) with1,000-s,eerd weight.

The neason prorbabl,y should ,be sought in thepresence o,f ,strressing environm,ental contdittionsdurin'g th,e grain filling p,eri,od, thus limitingin the late genotylpes the sinthesis and accu-mulation of a regular amount of reserve pro-,ducts in each s,eed. In fact wera'ther con,ditions,during the last part of JuIy and the be,ginning

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Plant I Head

-0.288 l-0.1730.0,18 l-0.080

.242 l-0.4m

-0.203 * l-0.055

t, ** significânt at the 5% and 10/0 point respectively.

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(l)-0ays to .llowering(2)-Plant heisht(3)-Head diameter(4) -1000-seed weisht

(5)-Seed

(6 ) -0 il(7)-0ir

yield

conteniyield (r)

s15j

t)()

Fi.g. 1 - Path diagram and coefficients of characters influencing oil yield components (averageof two locations)

{2

(3

(4

\\E\:l3lI

I

Q51

T)

yie)td, it is wor"th noting rthe stronrger" infùu nceof the f,ormer, thus indioating a m,ai,or vaùidityfor a selection ib,ase'd u,pon s,eed yield. Table 2

neports 'dir,eret and inrdirect influen'cres of ihetwo yield co,rnponents up,on oiJ yiel'd : o,il con-tent had a size'abl,e positive irrdire'ct effe'ot dueto the lange positive association (r" : 0.555)with seed yielrd.

- Table 2

Path coefficient analysis of the direct and indirecteffect of seerl yield and oil content upon oil yield

in sunflower

Table 3

Path coefficient analysis of the direct and indirecteffect of four characters upon seed yieltl in sunflower

varietal correlationswith oil yleld

I Effects throughI the characters

nrFAô+ | indirect effects viaeffects | |

I seecl | "itI yiefa I contcnltl

Days toflowering(-0.173)

PIantheight(-0.410)

Headdiameter(-0.189)

1 000 seedweight(0.014)

0.120

-'0.557

-t.292

0.015

1

0.079

-0.035

-0.079

0.084

0.0?1

-0.049

-0.010

-0.003

0.003

1

I

0.135

0.t27Seed yield(0.954 **)

Oil content(0.?74 **)

0.758

0.353

1

0.42L

0.196

1

*, ** significant at the 5% and 1% point respectively.

Tabies 3 and 4 str,ow dire'ct and indir'ect ac-tion of 4 main ,bio-morphologitcal fac'tors uponyi,eJJd roomponents.

Regartding seed yiel'd as the effec,t of thecausal variabtres, a ra'th,er stimilar pioture wasgiven by path vdlues and aorrelatio,n aoeffi-cients. Pùan height was exposerd as the trait

mainly influencing yietrd negative,ly (P :: -0.55?),

followed iby 'head diarneter (P :-0.292);

irndire,Ct influenoes in both cases we{r€low and negligibltre. T,tre ne,gative corrrelation(rv :

-0.1?3) days to flowerinrg-seed yield was

d,etermined by a mild positive direct effest(P : 0.120) and â valuable indirect action(-0.368) via plant height.

Oil contenLt resuJted aftfected by atrl chiarac-tens both direct y and indirecfly. The most

I

Effects through the characters

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varietâlcOrrelatiôns

iMith oilcontent

Table 4

Path coefficient analysis of the direct and indirectinfluence of four characters upon oil content

Effects through the characters

regiorrs of tÀe central and southern part oftrtaly, in 1978.

S'eed y,ield strongly influenc'ed oil yietrd,while oil content Lshow,ed a mi,Id,er action. Th,eiast two truits were negatively affected byplant height an'd h,ead diam'eter, whdle 'd,aysto ftrowerirrg exerte'd a strong direrct eff'e'ctunon oil oonrtent.

REFERENCES

Alba E., Greco I., t979, An analysis of associationof the tactors influencing seed, gielil i.n sunflo-u:er. Tlte Sunflower Newsletter. 3. Number 2 :

13-15.B h a t t G. M., 1973, Significance of path coefficient

analgsis in determining the nature of characterassociation, Euphytica, 22 : 338-343.

Dewey D. R., Lu K. H., 1959, A correlation and,path coeffici.ent analgsis of cornçtonents of cres-teil uheatgrass seed production, Agr. Journ.,51 : 515-518.

Falconer D. S., 1964, Introduction to QuantitatiueGenetics, 3rd Edition, 312-325, Ed. Oliver &Boyd, Edimburgh and London.

Kloczowski 2., L974, Correlations of some fea-tures in the breeding rnaterial of sunflouerDa.ri,etg Wielkopolski, Proceedings of the 6thInternational Sunflo'"ver Conference, Bucharest,Romania : 321-324.

L i C. C., L956, The eoncept of path coeffi,ci,ent andits impact on populati,on genetics, Biometrics,12 : 190-210.

Liang G. H. L., Riedl rrV. A., L964, Agronomictraits influencing forage and seed gield in AI-falfa, Crop Science, 4 : 394-396.

Mc\Milliam J. R., English S. D., 1978, The ef-fect oT inflorescence size on seed characteris-tics and oil content of sunflouer, Proceedingsof the 8th International Sunflower Conference,Mirrneapolis, U.S.A. : 212-223.

Porceddu E., 1966, Analisi delle comelazioni traf attori d,elle produzione in erba meilica conmetodo ilei ,,path coefficient". Genetica Agra-ria, 20 : 121-133.

S k o r i c D., 1974, Correlation anxong the most im,pot'-tent characters of sunflouer in FL generation,Proceedings of the 6th International SunflowerConference, Bucharest, Romania, 283-289.

W r i g h t S., 1921, Correlati.on anil causation, Journalof Agricultural Research, 20 : 557-585.

W r i g,h t S., 1923, Theorg of path coefficients : areplA to Niles' criticisrn, Genetics, 8: 239-255.

W r i g h t S., 1960, Path coeflicients and path regres-sions : alternatioe or complementarg concepts ?Biometrics, 16 : 189-202.

L',AiNALYTSE DU ..PATH COEFTFICIENT-DE QUELQUES OOIWPOISANTIS

DU RENDEMENT CHEZ LE TOURNESOL,/Résumé X-'

Les données se rapportent à I'analyse de 16 hybri-des et d'une variété, provenant du réseau interna-tional F.A.O., essayés en 1978 en deux localités diffé-rentes d'Italie. L'analyse du "path coefficient" a étéeffectuée pour étudier les relations cause - effet entreIes composants du rendement en huile (rendement engrains et teneur en huile) et quatre caractères morpho-biologiques : Ie nombre de jours jusqu'à la floraison,Ia hauteur des plantes, le diamètre des capitules etle poids de 1 000 grains.

indlrect effects vla

days tofl.ower-

ingplantheight

head

Days toflowering(0.379)

Plantheight(-0.041)

Headdiameter(-0.363)

1 000 seedweight(-0.169)

-0.680

-0.307

0.374

0.649

-0.283

-0.646

-0.449

1

0.165

0.155

0.088

0.074

1

-0.052

-0.245

-0.085

r€levant direct influenc,e (P : 0.984) was due,to rda)/s to flowering, folll,owed ,by plant height(P :

-0.680), 1,000-s,eed weight (P : 0.374)and hea'd di,ameter (P :

-0.307). rSuch values,

wi,th trfr'e exseption of the one r'ef'err'etd to heaCrdi,ameter, did not iagree with 'correlation valures,beoaus'e of strxong indirect 'infh-pnoes

opposingan'd counterbala'neing th'e direct eff,e,ct.

The ne,gative values obt,ained for path an'dcornelati,on values rbrgtwe,en head d'iameter andseed or oil yield woul'd pnobably b,e exp'laineCby the influence oif other charact,ers, such asp,ercentage of empty seeds and sterile porbionof tùr,e head, not taken into account. It resultrsobviously that unfiavourable envirornrnentalconditions during fùowening and gr,ain fillingp,eriod, ,could câus;e, I€rspective'ly, ,a large s't'erilearea ,in th'e head and â gneat amtount of abor-t,e,d, or paltially filtred aeh,enes.

It is then a,dvisable to includ'e thes'e c,harac-ters amorng the investirgaterd traits, esp'eciatrlyw.hen for'eign genortypes âre tested und,er un-flavourable conrditions.

Mo:reover the high tinfl.r.l,ence of resi'dural fac-tors (P, 5:0.858; P, 6:0.742), could be ac-counted for by the presence of such unsur-v,eyed factons, besides exp'et'im,ent'a]

_,ertors'

CONCLUSIONS U,,,A path 'coeffitcierrt analysis was perform'e,d

irn sunflower to study the cause-effgcf re,l'ation-ship up6n the ,oil yield comp'on,ents (seed yietrdand oil ,oontent) of 4 bi:o-morpihological charac-ters : days to flowering, plânt hei,ght, head,diameter, 1,000-seerd wei'ght.

Data irefer to an analysis rof 17 'cultrivars ex,a-mined in two F.A.O. triatrs carried out in two

2B

1 000seed

weight

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Le rendement en grains est le caractère qui exercela plus forte influence sur la production d'huile, pen-dant que la teneur en huile manifeste une action plusfaible sur celle'ci. Le rendement en huile et Ia teneuren huile des grains sont affectés négativement par lahauteur des plantes et le diamètre des capitules, tan-dis que le nombre de jours jusqu'à la floraison exerceun effet direct remarquable sur la teneur en huile.

ANALISIS DEL "PATH-COEFFIOIEN.I"DE UNOS CCMPONENTES

DE I"A .PRODUCCICN DE GIRASC,L

Res{tmen

Los datos se refieren al anâlisis de 16 hibridos yuna variedad, de la Red Internacional F.A.O., experi-mendados en el afro 1978 en dos localidades diferentes

de Italia. Se efectuô el anâlisis "path-coefficient" parael estudio de las relaciones causa-efecto entre loscomponentes de la producci6n de aceite (1a produ-cciôn de semillas y el contenido en aceite) y cuatrocarâcteres morfo-biol6gicos : el nûmero de dias hastaIa floraci6ir, la altura de las plantas, el diâmetro delcapitulo y el peso de I 000 granos.

La producciôn de semillas es el carâcter que mâsacusadamente influye en Ia producci6n de aceite,mientras que el contenido de aceite manifesta unaaccion mâs reducida sobre la misma. La producciônde aceite y eI contenido en aceite de las semillasestân afectados negativamente por la altura de lasplantas y eI diâmetro del capitulo, mientras eInûmero de dias hasta la floraci6n ejerce un potenteefecto directo sobre el contenido en aceite.