Anderson, J. A.

Anderson, M. P.

Martin, D. L.

Taliaferro, C. M.

Wu, Yanqi

English

University of Kentucky

University of Kentucky UKnowledge International Grassland Congress Proceedings XXI International Grassland Congress / VIII International Rangeland Congress Correlation Analyses of Seed Yield and Its Components in Bermudagrass Yanqi Wu Oklahoma State University C. M. Taliaferro Oklahoma State University D. L. Martin Oklahoma State University J. A. Anderson Oklahoma State University M. P. Anderson Oklahoma State University Follow this and additional works at: https://uknowledge.uky.edu/igc  Part of the Plant Sciences Commons, and the Soil Science Commons This document is available at https://uknowledge.uky.edu/igc/21/14-1/14 The XXI International Grassland Congress / VIII International Rangeland Congress took place in Hohhot, China from June 29 through July 5, 2008. Proceedings edited by Organizing Committee of 2008 IGC/IRC Conference Published by Guangdong People's Publishing House This Event is brought to you for free and open access by the Plant and Soil Sciences at UKnowledge. It has been accepted for inclusion in International Grassland Congress Proceedings by an authorized administrator of UKnowledge. For more information, please contact UKnowledge@lsv.uky.edu. 瞯 ]562　 瞯 　 Multifunctional Grasslands in a Changing World 　 Volume Ⅱ 　Grasslands/Rangelands Production Systems——— Seed Science and TechnologyCorrelation analyses of seed yield and its components in bermudagrassY .Q . Wu1 , C .M . Talia f erro1 , D .L . Martin2 , J .A . A nderson2 , M .P . A nderson11 Department o f Plant and Soil Science , Oklahoma State University , 368 A g H all , Stillw ater , OK 74078 , USA2 Department o f Horticulture and L andscape A rchitecture , Oklahoma State University , 360 A g H all , Stillw ater , OK74078 , USA . E‐mail : yanqi .wu＠ okstate .eduKey words : bermudagrass ,seed yield ,correlation coefficient analysis ,path coefficient analysisIntroduction Bermudagrass , Cynodon dacty lon ( L .) Pers . , is a warm‐season , long‐lived , sod‐forming grass ubiquitouslydistributed in warmer regions of the world , and widely used for grazing and hay production , multiple turf applications , and soilstabilization and remediation ( Harlan , １９７０ ; Taliaferro , １９９５ ) . Development and commercialization of seeded bermudagrasscultivars have increased dramatically in the USA in the past three decades . The objective of this study was to quantifycorrelation coefficients of seed yield and its components .Materials and methods The field experiment included ５６ half‐sib families of common bermudagrass . The experimental designwas a randomized complete block with three replications . Plot size was ２ .５ × ２ .５ m with ０ .５ m alleys between neighboringplots . Each plot was established by planting two seedlings １ m apart equidistant from the center of the plot . Greenhouse grownseedlings were transplanted to a field in June ２００１ on the Agronomy Research Station , OSU . Samples and visual data werecollected in August ２００２ and ２００３ . Seed yield ( SY ) samples were harvested from a ３０ × ３０ cm area from each plot . Matureinflorescence samples , each comprising ５ seedheads were collected to determine the number of racemes ( RNI) , raceme length( RLI) , number of seed ( SNI) and seed set ( SS) for each inflorescence . Inflorescence prolificacy ( IP) of each plot was visuallyevaluated using a rating scale from １ ( no inflorescence) to ９ ( most abundant) . Plot means for the response variables were usedfor statistical analyses . The SAS/ PROC CORR and IML procedures were used to calculate phenotypic correlation coefficientsand direct path coefficients , respectively .　 Figure 1 A path diagram show ing cause ande f f ect relationships o f f ive seed yieldcomponents and seed yield in bermudagrass .One‐directional arrows ( → ) rep resent directp ath ( P ) , and two‐directional arrows ( 吃 )rep resent mutual correlations .Results and discussion Phenotypic correlation coefficients among SY andIP , SS , SNI , RNI and RLI are given in Table １ . SY was significantlycorrelated with IP , SS and SNI , while the coefficients of SY with RNIand RLI were negligible . The result indicated that IP , SS and SNI areimportant contributors to SY , and RNI and RLI are of minor importance .Coefficients between SS and SNI and between RNI and RLI were bothhigh while those for SNI with RNI and RLI were low althoughsignificant . Path coefficient analysis separated correlation coefficientsamong SY and its components into direct and indirect effects in Figure １ .IP and SS had the largest positive and direct effects on SY . It is evident inFig .１ that SNI had a high indirect effect on SY via SS . A large residualindicated that other traits contributed to SY than those included .Table 1 Phenoty p ic correlation coe f f icients f or seed y ield and itscomponents o f ５６ hal f‐sib bermudagrass f amilies .T rait IP SS SNI RNI RLISY ０ è.５１７倡倡 ０ ^.４７６倡倡 ０  .４４４倡倡 ０ 腚.０３４ ‐０ +.０１４IP ０ ^.２４１倡倡 ０  .１９８倡倡 ０ 腚.０００ ‐０ +.０８５SS ０  .９５２倡倡 ０ 腚.０１７ ０ .０１４SNI ０ 适.１８６倡倡 ０ �.２２４倡倡RNI ０ �.７２０倡倡倡倡 Significance at the probability level of ０ .０１ .Conclusions Inflorescence prolificacy and seed set percentage had the largest positive and direct effects on seed yield , indicatingthat selection for increased inflorescence prolificacy and seed set should improve seed yield in bermudagrass .ReferencesHarlan , J .R . １９７０ . Cynodon species and their value for grazing or hay . Herbage Abs . ４０ : ２３３‐２３８ .Taliaferro , C .M . １９９５ . Diversity and vulnerability of Bermuda turfgrass species . Crop Sci . ３５ :３２７‐３３２ .

Correlation Analyses of Seed Yield and Its Components in Bermudagrass

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Correlation Analyses of Seed Yield and Its Components in Bermudagrass

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