Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (01): 82-96.doi: 10.3724/SP.J.1006.2017.00082

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Analysis of Yield Components with High Harvest Index in Brassica napusunder Environments Fitting Different Yield Levels

LU Kun1,**,Shen Ge-Zi1,**,LIANG Ying1,FU Ming-Lian2,HE Bin2,TIE Lin-Mei3,ZHANG Ye1, PENG Liu1,LI Jia-Na1,*   

  1. 1 College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, China; 2 Industrial Crops Institute, Yunnan Academy of Agricultural Sciences, Kunmimg 650205, China; 3 Agricultural Technology Extension Stationin Lincang City, Lincang 677000, China
  • Received:2016-03-27 Revised:2016-09-18 Online:2017-01-12 Published:2016-09-28
  • Contact: 李加纳, E-mail: ljn1950@swu.edu.cn**
  • Supported by:

    This study was supported by the National Science Foundation of China (U1302266and 31571701), the National Basic Research Program of China (2015CB150201), the 111 Project of Chinese Ministry of Education (B12006), and the China Agriculture Research System (CARS-13).

RichHTML

PDF

1106

Abstract:

Low harvest index is a bottleneck for further improvement of seed yield and oil production in rapeseed (Brassica napus). A total of 321 B. napus accessions with normal growth and maturation at both the super high yield production area Lincang, Yunnan province and the major production area of the upper Yangtze River basin, Beibei, Chongqing were chosen in this study. Variance of yield-related traits and their differences between two locations were compared, and the relationship between yield harvest index (YHI), oil production harvest index (OHI) and 17 yield component traits were also investigated by correlation and path analyses. At Yunnan, the main reasons for high yield of B. napuswereadequate illumination, big diurnal temperature difference, sufficient photosynthate, more biomass, higher number of siliques per plant and seed number per silique, especially the number of siliques on the secondary branches, which might play key roles in improvement ofB. napus yield. The silique number on the main inflorescence, primary and secondary branches was significantly and positively correlated with YHI at Chongqing, but the reverse relationship was observed between YHI and silique number on main inflorescence at Yunnan. The number of seeds per silique on the main inflorescence, primary and secondary branches at Yunnan were significantly higher than those at Chongqing, and the number of seeds per silique on the main inflorescence and primary branch showed significant or extremely significant positive correlation with YHI and OHI simultaneously at both two cultivated areas, suggesting that sufficient accumulation ofphotosynthate and high grain filling efficiency are necessary for large number of seeds per silique.Thousand-seed weights on the main inflorescence, primary and secondary branches at Yunnan were all lower than those at Chongqing, suggesting that once the photosynthate is insufficient, the seed number per plant will decrease and partial seeds will become the priority for seed-filling in B. napus, to ensure the quality of offspring seeds. Under the high yield production condition of Yunnan, thousand-seed weights on three different parts showed significant or remarkably significant positive correlation with YHI and OHI, while those at Chongqing were not, indicating that thousand-seed weight is determined by the transport capacity of photosynthate under the condition of sufficient illumination. In summary, the number of siliques on the main inflorescence andseed yield per plant are two key factors for increasing YHI under adequate illumination environment.Butthe composition of YHI is more complicated under weak illumination environment. Thus, higher YHI could be achieved when the yield components on the main inflorescence and primary branch areorganic ally integrated and biological yield is restrained.

Key words: Brassica napus, Harvest index, Correlation analysis, Path analysis

[1] 蔡东芳. 甘蓝型油菜产量和品质相关性状关联分析. 华中农业大学博士学位论文, 湖北武汉, 2013. pp 1–2
Cai D F. Association mapping of yield and quality-related traits in Brassica napus L.. PhD. Dissertation of Huazhong Agricultural University, Wuhan, China, 2013. pp 1–2 (in Chinese with English abstract)
[2] 李清波. 油菜不同品种及在不同种植密度及施氮条件下产量形成研究. 华中农业大学硕士学位论文, 湖北武汉, 2014. pp 2–8
Li Q B. Studies of the yield formation of various cultivars and under different planting densities and nitrogen applications of oilseed rape. Master Dissertation of Huazhong Agricultural University, Wuhan, China, 2014. pp 2–8 (in Chinese with English abstract)
[3] Randhir S, Malhotra S P, Singh R. Molecular manipulation of sourcesink interactions in crop plants. Proc Indian Natl Sci Acad, 1999, 6: 351–376
[4] Reynolds M P, Rajaram S, Sayre K D. Physiological and genetic changes of irrigated wheat in the post-green revolution period and approaches for meeting projected global demand. Crop Sci, 1999, 6: 1611–1621
[5] Hay R K M. Harvest index: a review of its use in plant breeding and crop physiology. Annu Appl Biol, 1995,126: 197–216
[6] 宋荷仙, 李跃建, 冯君成, 刘宗典, 杨永澄. 小麦收获指数和源、库性状的遗传研究. 中国农业科学, 1993, 26(3): 21–26
Song H X, Li Y J, Feng J C, Liu Z D, Yang S C, Genetic research on harvest index and source sink traits of wheat. Sci Agric Sin, 1993, 26(3): 21–26 (in Chinese with English abstract)
[7] 何秀英, 陈钊明, 廖耀平, 程永盛, 陈粤汉. 水稻收获指数遗传及其与主要农艺性状的相关研究. 作物学报, 2006, 6: 911–916
He X Y, Chen Z M, Liao Y P, Cheng Y S, Chen Y H. Heredity of rice harvest index and correlations between HI and main agronomic characters. Acta Agron Sin, 2006, 6: 911–916 (in Chinese with English abstract)
[8] 钟蕾. 不同收获指数型水稻品种产量构成整齐性及生育后期光合特性的差异性分析. 江西农业大学学报, 2012, 34: 627–634
Zhong L. Comparative analysis on the yield component uniformity and photosynthesis characteristics during later growth stages in rice varieties with different harvest indexes. Acta Agri Univ Jiangxiensis (Nat Sci), 2012, 34: 627–634 (in Chinese with English abstract)
[9] Unkovich M, Baldock J, Forbes M. Variability in harvest index of grain crops and potential significance for carbon accounting: examples from Australian agriculture. Adv Agron, 2010, 105: 173–219
[10] Kemanian A R, Stöckle C O, Huggins D R, Viega L M. A simple method to estimate harvest index in grain crops. Field Crop Res, 2007, 103: 208–216
[11] 黄露, 陶诗顺, 张敏, 姜磊, 彭雅利. 甘蓝型杂交油菜收获指数及其品种间差异性研究. 江苏农业科学, 2011, 1: 95–97
Huang L, Tao S S, Zhang M, Jiang L, Peng Y L. Differences analysis of harvest and varieties of Brassica napus L. Jiangsu Agric Sci, 2011, 1: 95–97 (in Chinese with English abstract)
[12] 袁婺洲, 官春云. 影响油菜收获指数的几个生理因子.作物学报, 1997, 5: 580–586
Yuan W Z, Guan C Y. Harvest index in rapeseed affected by a few physiological factors. Acta Agron Sin, 1997, 5: 580–586 (in Chinese with English abstract)
[13] Yuan W Z, Guan C Y. The variation of harvest index in Chinese oilseed rape, Life Sci Res, 1998, 3: 212–219
[14] Luo X, Ma C, Yue Y, Hu K, Li Y, Duan Z, Wu M, Tu J, Shen J, Yi B, Fu T. Unravelling the complex trait of harvest index in rapeseed (Brassica napus L.) with association mapping. BMC Genomics, 2015, 16: 379
[15] 卢坤, 王腾岳, 徐新福, 唐章林, 曲存民, 贺斌梁颖, 李加纳. 甘蓝型油菜结角高度与荚层厚度的全基因组关联分析. 作物学报, 2016, 3: 344–352
Lu K, Wang T Y, Xu X F , Tang Z L, Qu C M, He B, Liang Y, LI J N. Genome-wide association analysis of height of podding and thickness of pod canopy in Brassica napus. Acta Agron Sin, 2016, 3: 344–352 (in Chinese with English abstract)
[16] Badger M R. Role of plant leaf development in optimising photosynthetic efficiency, capacity, growth and yield. In: Gready J E, Dwyer S A, Evans J R. eds. Applying photosynthesis research to improvement of food crops. Canberra: Australian Centre for International Agricultural Research, 2009.pp14–19
[17] Evans J R. Improved photosynthetic efficiency is necessary to increase potential crop yield. In: Gready J E, Dwyer S A, Evans J R. eds. Applying Photosynthesis Research to Improvement of Food Crops. Canberra: Australian Centre for International Agricultural Research, 2009. pp 27–34
[18] 程永盛, 廖耀平, 何秀英, 陈钊明, 陈粤汉. 水稻收获指数与单株产量及其构成因素的相关和通径分析. 广东农业科学, 2006, (9): 36–38
Chen YS, Liao Y P, He X Y, Cheng Z M, Cheng Y H. Path and coefficient analysis of harvest index, yield per plant and its components in rice. Guangdong Agric Sci, 2006, (9): 36–38 (in Chinese)
[19] 姚金保, 姚国才, 杨学明, 马鸿翔, 张平平. 小麦收获指数遗传及其与农艺性状的相关分析. 江苏农业学报, 2008, (1): 5–10
Yao J B, Yao G C, Yang X M, Ma H X, Zhang P P. Inheritance of wheat harvest index and its correlations with agronomic traits. Jiangsu Agr Sci, 2008, (1): 5–10 (in Chinese with English abstract)
[20]Asghari A R. Investigate the relationship and path coefficient analysis between yield and yield components of canola cultivars. Int J Farm Alli Sci. 2013, 2: 104
[1] REN Yuan-Yuan, ZHANG Li, YU Yao-Chuang, ZHANG Yan-Jun, ZHANG Sui-Qi. Competitive effect of soybean density on yield formation in maize/soybean intercropping systems [J]. Acta Agronomica Sinica, 2021, 47(10): 1978-1987.
[2] HASAN Umut,SAWUT Mamat,Shui-Sen CHEN,Dan LI. Inversion of leaf area index of winter wheat based on GF-1/2 image [J]. Acta Agronomica Sinica, 2020, 46(5): 787-797.
[3] DU Yu-Xiao, LI Xin-Ge, WANG Xue, LIU Xiao-Jun, TIAN Yong-Chao, ZHU Yan, CAO Wei-Xing, CAO Qiang. Nitrogen demand characteristics with different grain yield levels for wheat after rice [J]. Acta Agronomica Sinica, 2020, 46(11): 1780-1789.
[4] JIN Shu-Rong,WANG Yan-Mei,CHANG Yue,WANG Yue-Hua,LI Jia-Na,NI Yu. Activity and gene family expression of β-amylase in Brassica napus differing in harvest index [J]. Acta Agronomica Sinica, 2019, 45(8): 1279-1285.
[5] Yi XU,Lie-Mei ZHANG,Jian-Min QI,Mei SU,Shu-Sheng FANG,Li-Lan ZHANG,Ping-Ping FANG,Li-Wu ZHANG. Correlation Analysis between Yield of Bast Fiber and Main Agronomic Traits in Jute (Corchorus spp.) [J]. Acta Agronomica Sinica, 2018, 44(6): 859-866.
[6] Lan-Fen WANG, Jing WU, Zhao-Li WANG, Ji-Bao CHEN, Li YU, Qiang WANG, Shu-Min WANG. Adaptability and Phenotypic Variations of Agronomic Traits in Common Bean Germplasm Resources in Different Environments [J]. Acta Agronomica Sinica, 2018, 44(03): 357-368.
[7] Zhi-Fei XUE, Xia WANG, Fu-Peng LI, Chao-Zhi MA. Homologous Cloning of BnGS3 and BnGhd7 Genes in Brassica napus and Their Relationship with Rapeseed Yield-related Traits [J]. Acta Agronomica Sinica, 2018, 44(02): 297-305.
[8] CHEN Xue-Ping**,JING Ling-Yun**,WANG Jia,JIAN Hong-Ju,MEI Jia-Qin,XU Xin-Fu,LI Jia-Na,LIU Lie-Zhao*. Correlation Analysis of Sclerotinia Resistance with Lignin Content and Monomer G/S and its QTL Mapping in Brassica napus L. [J]. Acta Agron Sin, 2017, 43(09): 1280-1289.
[9] HOU Lin-Tao,WANG Teng-Yue,JIAN Hong-Ju,WANG Jia,LI Jia-Na,LIU Lie-Zhao. QTL Mapping for Seedling Dry Weight and Fresh Weight under Salt Stress and Candidate Genes Analysis in Brassica napus L. [J]. Acta Agron Sin, 2017, 43(02): 179-189.
[10] WANG Wen-Xiang,HU Qiong,MEI De-Sheng,LI Yun-Chang,ZHOU Ri-Jin,WANG Hui,CHENG Hong-Tao,FU Li,LIU Jia*. Genetic Effects of Branch Angle Using Mixture Model of Major Gene Plus Polygene in Brassica napus L. [J]. Acta Agron Sin, 2016, 42(08): 1103-1111.
[11] TAN Tai-Long,FENG Tao,LUO Hai-Yan,PENG Ye,LIU Rui-Yang,GUAN Chun-Yun. Cloning and Characterization of Phospholipids:Diacylglycerol Acyltransferase (BnPDAT1) cDNA from Brassica napus L. [J]. Acta Agron Sin, 2016, 42(05): 658-666.
[12] YIN Wen**,FENG Fu-Xue**,ZHAO Cai,YU Ai-Zhong,CHAI Qiang*,HU Fa-Long,GUO Yao. Effects of Wheat Straw Returning Patterns on Characteristics of Dry Matter Accumulation, Distribution and Yield of Rotation Maize [J]. Acta Agron Sin, 2016, 42(05): 751-757.
[13] ZHOU Tian-Shan,WANG Xin-Chao,YU You-Ben,XIAO Yao,QIAN Wen-Jun,XIAO Bin,YANG Ya-Jun. Correlation Analysis between Total Catechins (or Anthocyanins) and Expression Levels of Genes Involved in Flavonoids Biosynthesis in Tea Plant with Purple Leaf [J]. Acta Agron Sin, 2016, 42(04): 525-531 .
[14] KUAI Jie,DU Xue-Zhu,HU Man,ZENG Jiang-Xue,ZUO Qing-Song,WU Jiang-Sheng,ZHOU Guang-Sheng. Effect of Symbiosis Periods and Plant Densities on Growth and Yield of Rapeseed Intercropping Cotton [J]. Acta Agron Sin, 2016, 42(04): 591-599.
[15] LU Kun,QU Cun-Min,LI Sha,ZHAO Hui-Yan,WANG Rui,XU Xin-Fu,LIANG Ying,LI Jia-Na. Expression Analysis and eQTL Mapping of BnTT3 Gene in Brassica napus L. [J]. Acta Agron Sin, 2015, 41(11): 1758-1766.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd