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ACTA HORTICULTURAE SINICA ›› 2007, Vol. 34 ›› Issue (3): 623-628.

• 蔬菜 • Previous Articles     Next Articles

Hayman Genetic Ana lysis of Y ield and Qua lity Characters in Pepper ( Capsi2cum annuum L. )

ZOU Xue-xiao1, 2*
;CHEN Wen-chao2,3 ; ZHANG Zhu-qing1,3 , DAI Xiong-ze1,2,3; MA Yan-qing1,2,3 ;
LI Xue-feng2,3
  

  1. (1Hunan Key Laboratory of Vegetable Engineering and Technology, Changsha 410125, China; 2Hunan Vegetable Research andDevelopm ent Center, Changsha 410125, China; 3 Institute of Vegetable, Hunan Academy of Agricultural Sciences, Changsha410125, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-25 Published:2007-06-25

Abstract: Six pepper (Capsicam annuum L. ) parentswere used to p roduce 15 combinations by diallel
crosses excluding recip rocals. Genetic parameters for five yield or quality characterswere estimated according
to Haymanpsmethod. Analysis of regression Wr against Vr indicated that inheritance of yield per p lant, yield
perp lot, capsaicin or drymatter content conformed to the“additive-dominant”modelwhile that of early yield
per p lot did not. Correlation analysis showed that there was a negative correlation between Wr +Vr and Yr in
the characters of yield per p lant, yield per p lot, early yield per p lot and drymatter content, imp lying that the
parents possessing more dominant genes have lower Wr +Vr values. However, there was a positive correlation
between Wr +Vr and Yr in cap saicin content at 1% significant level, which means that the parents possessing
more dominant genes for high cap saicin content have relatively high Wr +Vr values. Estimation of the genetic
parameters showed that the additive variance was greater than the dominant variance for cap saicin and drymat
ter contentswhile the opposite situationswere true for yield per p lant, yield per p lot. For early yield per p lot,
the dominant variance was significantly higher than the additive variance, and there were significant comp lex
ep istatic effects.

Key words: Pepper, Capsicum annuum L., Diallel crosses, Yield characters, Quality characters, Genetic parameter estimation