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Relationship Among Yield Components and Selection Criteria for Yield Improvement in Early Rapeseed (Brassica napus L.) |
Key Laboratory for Oil Crops Biological Research, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences |
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摘要 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.
Abstract 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.
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Received: 16 September 2010
Accepted: 14 August 2011
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Corresponding Authors:
Correspondence ZHANG Xue-kun, Professor, Tel: +86-27-86824573, E-mail: zhang.xk@139.com
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Cite this article:
LU Guang-yuan, ZHANG Fang, ZHENG Pu-ying, CHENG Yong, LIU Feng-lan, FU Gui-ping, ZHANG , Xue-kun .
2011.
Relationship Among Yield Components and Selection Criteria for Yield Improvement in Early Rapeseed (Brassica napus L.). Journal of Integrative Agriculture, 10(7): 997-1003.
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[1] Ali N, Javidfar F, Elmira J Y, Mirza M Y. 2003. Relationshipamong yield components and selection criteria for yieldimprovement in winter rapeseed (Brassica napus L.).Pakistan Journal of Botany, 35, 167-174.[2] Angadi S V, Cutforth H W, Miller P R, McConkey B G, Entz MH, Volkmar K, Brandt S. 2000. Response of three Brassicaspecies to high temperature injury during reproductivegrowth. Canadian Journal of Plant Science, 80, 693-701.[3] Aytac Z, Knac G, Knac E. 2008. Genetic variation heritabilityand path analysis of summer rapeseed cultivars. Journal ofApplied and Biological Sciences, 2, 35-39.[4] Baradaran R, Majidi E, Darvish F, Azizi M. 2007. Study ofcorrelation relationships and path coefficient analysisbetween yield and yield components in rapeseed (Brassicanapus L.). Journal of Agricultural Science - Islamic AzadUniversity, 12, 811-819.[5] Basalma D. 2008. The correlation and path analysis of yield andyield components of different winter rapeseed (Brassicanapus ssp. oleifera L.) cultivars. Research Journal ofAgriculture and Biological Sciences, 4, 120-125.[6] Bayat M, Rabiei B, Rabiee M, Moumeni A. 2008. Assessmentof relationship between grain yield and important agronomictraits of rapeseed as second culture in paddy fields. Journalof Science and Technology in Agriculture and NatureResources, 12, 475-487.[7] Bhatt G M. 1973. Significance of path coefficient analysis indetermining nature of character association. Euphytica, 22,338-343.[8] Bilsborrow P E, Norton G. 1984. A consideration of factorsaffecting the yield of oilseed rape. Aspects of Applied Biology, 6, 91-100.[9] Diepenbrock W. 2000. Yield analysis of winter oilseed rape(Brassica napus L.): a review. Field Crops Research, 67, 35-49.[10] Diz D A, Wofford D S, Schank S C. 1994. Correlation and pathcoefficient analyses of seed-yield components in pearl millet×elephant grass hybrids. Theoretical and Applied Genetics,89, 112-115.[11] Engqvist G M, Becker H C. 1993. Correlation studies foragronomic characters in segregating families of spring oilseedrape (Brassica napus). Heriditas, 118, 211-216.[12] Fageria N K. 1992. Biological yield economic yield and harvestindex. In: Fageria N K, ed., Maximizing Crop Yields. MarcelDekker, New York. pp. 10-13.[13] Habekotte B. 1993. Quantitative analysis of pod formation seedset and seed filling in winter oilseed rape (Brassica napus L.)under field conditions. Field Crops Research, 35, 21-33.[14] Habekotte B. 1997. Evaluation of seed yield determining factorsof winter oilseed rape (Brassica napus L.) by means of cropgrowth modelling. Field Crops Research, 54, 137-151.[15] Khan M A, Sadaqat H A, Tariq M. 1991. Path coefficient analysisin cotton (G. hirsutum L.). Journal of Agricultural Research,29, 177-182.[16] Marjanovic-Jeromela A, Marinkovic R, Mijic A, Zdunic Z,Ivanovska S, Jankulovska M. 2008. Correlation and pathanalysis of quantitative traits in winter rapeseed (Brassicanapus L.). Agriculturae Conspectus Scientificus, 73, 13-18.[17] Mohammadi S A, Prasanna B M, Singh N N. 2003. Sequentialpath model for determining interrelationships among grainyield and related characters in maize. Crop Science, 43, 1690-1697.[18] Momoh E J, Song W J, Li H Z, Zhou W J. 2004. Seed yield andquality responses of winter oilseed rape (Brassica napus) toplant density and nitrogen fertilization. Indian Journal ofAgricultural Sciences, 74, 420-424.[19] Ouk M, Basnayake J, Tsubo M, Fukai S, Fischer K S, Kang S,Men S, Thun V, Cooper M. 2007. Genotype-by-environmentinteractions for grain yield associated with water availabilityat flowering in rainfed lowland rice. Field Crops Research,101, 145-154.[20] Shabana R S A, Shrief Ibrahim A F, Geisler G. 1990. Correlationand path coefficient analysis for some new released (00)spring rapeseed cultivars grown under different competitivesystems. Journal of Agronomy and Crop Science, 165, 138-143.[21] Sheikh F A, Jeena A S, Bhat M A, Ahmad N, Rather A G. 2004.Character association and path analysis in rapeseed-mustardunder temperate climate. Applied Biology Research, 6, 64-66.[22] Tuncturk M, Ciftci V. 2007. Relationships between yield andsome yield components in rapeseed (Brassica napus ssp.oleifera L.) cultivars by using correlation and path analysis.Pakistan Journal of Botany, 39, 81-84.[23] Wang H Z. 2007. Strategy for rapeseed industry developmentbased on the analysis of rapeseed production and demand inChina. Chinese Journal of Oil Crops Sciences, 29, 101-105.[24] (in Chinese)Yin Y, Wang H Z, Liao X. 2009. Analysis and strategy for 2009rapeseed industry development in China. Chinese Journal ofOil Crops Sciences, 31, 259-262.[25] (in Chinese)Yuan W Z, Guan C Y. 1998. The variation of harvest index inChinese oilseed rape. Life Science Research, 3, 212-219.[26] Zheng Z, Simard R R, Lafond J. 2002. Pathways of soilphosphorus transformation after 8 years of cultivation undercontrasting cropping practices. Soil Science Society of AmericaJournal, 66, 999-1007.[27] Zhou Y M, Fu T D. 2007. Genetic improvement of rapeseed inChina. In: Fu T D, ed., Proceedings of the 12th InternationalRapeseed Congress. Wuhan China. Science Press USA, NewJersey USA. pp. 210-212. |
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