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作物学报 ›› 2009, Vol. 35 ›› Issue (7): 1328-1335.doi: 10.3724/SP.J.1006.2009.01328

• 耕作栽培·生理生化 • 上一篇    下一篇

用GGE双标图分析种植密度对高油花生生长和产量的影响

陈四龙1,李玉荣1,*,程增书1,刘吉生2   

  1. 1河北省农林科学院粮油作物研究所/河北省作为遗传育种实验室，河北石家庄050031；2石家庄3502农场，河北石家庄050031
  • 收稿日期:2008-11-27 修回日期:2009-03-18 出版日期:2009-07-12 网络出版日期:2009-05-19
  • 通讯作者: 李玉荣, E-mail: liyrl@yahoo.com.cn; Tel: 0311-87670656
  • 基金资助:

    本研究由河北省农林科学院青年基金项目（A09060106），高家科技支撑计划项目（2006BAD01A04），公益性行业（农业）科研专项（nyhyzx07-014），河北省科学技术研究与发展计划项目（06220118D-3），现代农业产业技术体系建设专项资金资助。

GGE Biplot Analysis of Effects of Planting Density on Growth and Yield Components of High Oil Peanut

CHEN Si-Long1,LI Yu-Rong1,*,CHENG Zeng-Shu1,LIU Ji-Sheng2   

  1. 1Institute of Food and Oil Crops，Hebei Academy of Agriculture and forestry Sciencess/Laboratory of Crop Genetics and Breeding of Hebei Province,Shijiazhuang 050031,China;2Shijiazhuang 3502 Farm,Shijiazhuang 050031,China
  • Received:2008-11-27 Revised:2009-03-18 Published:2009-07-12 Published online:2009-05-19
  • Contact: LI Yu-Rong, E-mail: liyrl@yahoo.com.cn; Tel: 0311-87670656

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被引次数

99

摘要：

花生群体密度直接影响花生产量及产量构成因素，系统研究不同种植密度下花生产量和性状差异，可为花生高产栽培提供理论依据。以高产高油花生冀花4号为材料，设置5个密度处理，分别为每公顷7.5、10.5、15.0、19.5和24.0万穴，探索种植密度对高产花生农艺性状、经济性状、产量形成因素和经济产量的影响，并用GGE双标图法对结果进行系统分析。结果表明，不同指标对种植密度的敏感程度表现不一，单株开花数、单株结果数、单株产量和荚果产量表现最敏感，而主茎高、侧枝长、出米率、籽仁含油量及蛋白质含量表现相对较稳定。随花生密度增大，单株开花数、单株结果数、百果重和单株产量显著降低，荚果产量则逐渐提高，但提高幅度逐渐降低。冀花4号种植密度每公顷10.5~15.0万穴时可获最大经济效益。GGE双标图为研究不同密度下花生生长状况和产量反应提供了更为直观有效的分析手段。

关键词: 花生, 种植密度, GGE双标图, 产量

Abstract:

Peanut planting density directly affects peanut yield and yield components, it is an effective way to adopt an optimal growing system for improving yield level. The paper presents an optimum density of peanut cultivation and a new method of data analysis. Five treatments (densities at 7.5×104, 105×104, 150×104, 195×104, and 240×104 holes per hectare) were designed with peanut cultivar Jihua 4. We investigated the agronomic traits, economic traits, yield components and pod yield in peanut, analyzed the differences between growing densities and every trait determined by SAS (Statistical Analysis System) and GGE (Genotype main effects plus Genotype×Environment interaction model). The results showed that there were inconsistent performances between traits and densities. The number of flowers per plant in the whole growth period, the number of pods per plant, pod yield per plant and pod yield per hectare were more sensitive to peanut planting density, but the main stem height, lateral branches length, shelling percentage, oil yield per hectare and protein yield per hectare were more stable. The number of flowers per plant in the whole growth period, the number of pods per plant, 100-pod weight and pod yield per plant decreased significantly with the increase of planting density, but pod yield per hectare increased. Pod yield produced by plants with the highest planting density were slightly greater than those with the lower planting density, while with planting density increasing, the increasing degree of pod yield per hectare decreased. Although the total pod yield increased with density, the higher yield achieved at the higher density did not give a higher economic profit which also affected by seed cost for planting. The result showed that the optimal planting density of Jihua 4 was from 105.0×104 to 150×104 holes per hectare based on maximal economic profit. GGEbiplot is a new and more realistic and effective method to analyze growth and yield components of high oil peanut cultivar.

Key words: Peanut, Planting density, GGEbiplot, Yield

[1] Zheng Y-P(郑亚萍), Tian Y-Y(田云云), Sha J-F(沙继锋), Zhang M-Y(张美英). Yield potential and high-yielding channels of peanut. J Peanut Sci (花生学报), 2002, 31(1): 1-7 (in Chinese with English abstract)

[2] Wan S-B(万书波), Zheng Y-P(郑亚萍), Liu D-Z(刘道忠), Cheng B(成波), Wu Z-F(吴正峰), Chen D-X(陈殿绪), Wang C-B(王才斌). Optimization of peanut-wheat intercropping system on date, fertilizer and plant density. Chin J Oil Crop Sci (中国油料作物学报), 2006, 28(3): 319-323 (in Chinese with English abstract)

[3] Zheng Y-P(郑亚萍), Wang C-B(王才斌), Cheng B(成波), Wu Z-F(吴正峰), Jiang S-Q(姜淑庆), Sun X-S(孙秀山), Chen D-X(陈殿绪). Yield effect and optimized-measure combination of N fertilizer and plant density for different peanut variety types under single-seed planting. Agric Res Arid Areas (干旱地区农业研究), 2007, 25(1): 201-205 (in Chinese with English abstract)

[4] Wu X-T(吴鑫桃). Influence of different cultivars, densities and nitrogen rates on yield of the peanut with red membrane. J Anhui Agric Sci (安徽农业科学), 2005, 33(4): 575-575 (in Chinese)

[5] MaasA L, Dashiell K E, Melouk H A. Planting density influences disease incidence and severity of sclerotinia blight in peanut. Crop Sci, 2006, 46: 1341-1345

[6] Huang W-M(黄文美). Effects of different planting density on yield of peanut in Tongren. Gengzuo Yu Zaipei (耕作与栽培), 2007, (2): 27-27, 56 (in Chinese)

[7] Zhou Y-Z(周彦忠), Li C-H(李才华), Liu P(刘平). Adaptability experience on plant date and density of peanut new cultivar Yuanza 9102. J Henan Agric Sci (河南农业科学), 2007, (4): 48-49 (in Chinese)

[8] Xu Z-Y(许志毅), Li Y-X(李阳溪). Preliminary report on the test of characteristics and planting density of Quanhua 7, a new variety of peanut. Subtrop Agric Res (亚热带农业研究), 2006, 2(4): 248-250 (in Chinese with English abstract)

[9] Cheng Z-S(程增书), Xu G-Z(徐桂真), Wang Y-B(王延兵), Li Y-R(李玉荣). Effect of sowing time and planting density on yield and quality in peanut. Chin Agric Sci Bull (中国农学通报), 2006, 22(7): 190-193 (in Chinese with English abstract)

[10]Fan X M, Kang M S, Chen H, Zhang Y, Tan J, Xu C. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan. Agron J, 2007, 99: 220-228

[11]Yan W, Cornelius P L, Crossa J, Hunt L A. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci, 2001, 41: 656-663

[12]Yan W, Rajcan I. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci, 2002, 42: 11-20

[13]Samonte S O P B, Wilson L T, McClung A M, Medley J C. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci, 2005, 45: 2414-2424

[14]Zhang Y(张勇), He Z-H(何中虎), Zhang A-M(张爱民). GGE biplot for studying paste property of Chinese spring wheat. Acta Agron Sin (作物学报), 2003, 29(2): 245-251 (in Chinese with English abstract)

[15]Jiang H-F(姜慧芳), Duan N-X(段乃雄), Ren X-P(任小平). Descriptors and Data Standard for Peanut (Arachis spp.) (花生种质资源描述规范和数据标准), 1st edn. Beijing: China Agriculture Press, 2006. pp 59-77 (in Chinese)

[16]Yan W K. GGEbiplot-A windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agron J, 2001, 93: 1111-1118

[17]Yan W-K(严威凯), Sheng Q-L(盛庆来), Hu Y-G(胡跃高), Hunt L A. GGE biplot: An ideal tool for studying genotype by environment interaction of regional yield trial data. Acta Agron Sin (作物学报), 2001, 27(1): 21-28 (in Chinese with English abstract)

[18]Ngouajio M, Wang G, Hausbeck M K. Changes in pickling cucumber yield and economic value in response to planting density. Crop Sci, 2006, 46: 1570-1575

[19]Legard D E, Xiao C L, Mertely J C, Chandler C K. Effects of plant spacing and cultivar on incidence of Botrytis fruit rot in annual strawberry. Plant Dis, 2000, 84: 531-538

[20]Shandong Peanut Research Institute (山东花生研究所). Peanut Cultivation and Physiology (花生栽培生理). Shanghai: Shanghai Scientific and Technical Press, 1990. pp 81-97 (in Chinese)

[21]Wan S-B(万书波). China Peanut Cultivation Science (中国花生栽培学), 2nd edn. Shanghai: Shanghai Scientific and Technical Press, 2003. pp 297-302 (in Chinese)

[22]Hofmann W C, Kittock D L, Alemayehu M. Planting seed density in relation to cotton emergence and yield. Agron J, 1988, 80: 834-836
Campbell T A, White G A. Population density and planting date effects on Kenaf performance. Agron J, 1982, 74: 74-77
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