Relationship Among Yield Components and Selection Criteria for Yield Improvement in Early Rapeseed (Brassica napus L.)
2011
LU Guang-yuan, ZHANG Fang, ZHENG Pu-ying, CHENG Yong, LIU Feng-lan, FU Gui-ping, ZHANG , Xue-kun (College of Agronomy, Agricultural University of Hebei/Hebei Sub-Center of Chinese National Maize Improvement Center/Northern China Key Laboratory for Crop Germplasm Resources, Ministry of Education)
The objective of this study was to determine the relationship between seed yield and other important agronomic traits ofearly-maturing rapeseed as a rotation crop in a double-cropping rice area using Pearson’s correlation coefficient as well asto estimate direct and indirect effects of specific yield component traits on seed yield via path analysis. Nineteen rapeseedgenotypes were grown at ten environments in South China during 2008-2009 and 12 characters were evaluated. Analysisof variance showed that environment had a significant impact on all characters. For most characters the genotype byenvironment interaction was weak and not statistically significant. Simple correlation analysis indicated that the numberof primary branches (PB), number of pods on the main raceme (PR), and number of seeds per pod made significantcontributions to seed yield per plant (SYP), while 1 000-seed weight was negatively correlated with SYP (r=-0.485, P<0.05).Furthermore, number of pods per plant (PP), PB, and PR had the greatest direct effects on SYP. In addition, PP and PB werethe best indicators to predict seed yield in stepwise regression analysis. Finally, yield component differences betweenearly- and medium-maturity varieties were compared; this showed that to improve the seed yield of early varieties, moreemphasis should be given to increase PP, PB, and PR, and reduce plant height and shortening of growth duration inbreeding practice.
Afficher plus [+] Moins [-]Informations bibliographiques
Cette notice bibliographique a été fournie par Institute of Agricultural Information, Chinese Academy of Agricultural Sciences
Découvrez la collection de ce fournisseur de données dans AGRIS