Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2007, Vol. 33 ›› Issue (01): 50-56.

• ORIGINAL PAPERS • Previous Articles     Next Articles

Correlation Analysis and QTL Mapping of Grain Shape and Grain Weight in Rice under Upland and Lowland Environments

GUO Yong-Mei12,MU Ping2,LIU Jia-Fu3,LI Zi-Chao2*,LU Yi-Xuan1*   

  1. 1 Institute of Food Crop Research, Yunnan Academy of Agricultural Sciences, Kunming 650205,Yunnan; 2 College of Agriculture and Biotechnology, China Agricultural University, Beijing 100094; 3 Farmer Produce Quality and Test Center of Ministry of Agriculture, Yunnan Academy of Agricultural Sciences, Kunming 650201, Yunnan, China
  • Received:2006-01-09 Revised:1900-01-01 Online:2007-01-12 Published:2007-01-12
  • Contact: LU Yi-Xuan

Abstract:

Grain length (GL), grain width (GW), length width ratio (LWR) and grain weight(GWt) are most important apparent quality traits in rice, which are positively correlated with the commercial value of rice especially in international market. Moreover, grain shape is also a vital factor related to rice yield and milling quality. Companed with GL, GW and LWR, grain weight is one of the most important components related to rice yield. Several studies reported that GL, GW, LWR and GWt were controlled by some QTLs were detected under lowland condition. There have been no reports about QTLs for grain shape and grain weight under both upland and lowland conditions. Therefore, it is necessary to analyze the correlation and inheritance of grain shape and grain weight between under upland and under lowland conditions, especially to find QTLs under upland condition.
A doubled haploid (DH) population consisting of 116 DH lines developed through anther culture of the F1 hybrid between an upland rice cultivar ‘IRAT109’ and a lowland rice cultivar ‘Yuefu’ was used in this study. The parents and the 116 DH lines were planted under water- and dry-cultivation conditions, on the experiment farm of China Agricultural University in 2002. Seeds of parents and 116 DH lines were harvested at maturity, and used to measure grain length, grain width, length width ratio and grain weight. QTLs analysis was conducted with QTL Mapper version 1.0 and the constructed molecular linkage map consisting of 165 molecular markers, which covered 1 535 cM in length with an average distance of 9.3 cM between adjacent markers. A threshold probability of P<0.005 was used to declare the existence of additive QTLs. Correlation analysis between grain shape and grain weight was conducted using the software of SPSS.
Positively significant correlations between GL and LWR and between GL and GWt in both upland and lowland environments were observed. Negatively significant correlations between GW and LWR and positively significant correlations between GW and GWt under the two environments were also detected. This result indicated that GL, GW, LWR and GWt had closely genetic background. All the four traits in upland environment were significantly correlated with those in lowland environment respectively, with the biggest correlation coefficient of 0.817 for GL and the smallest coefficient of 0.457 for GW. Therefore, compared to GW, GL was less affected by water stress (upland condition).
A total of 14 QTLs were detected for GL, GW, LWR and GWt, which located on chromosome 1, 5, 6, 7,10 and 12. Ten QTLs had high general contribution with explained variance of over 10%. For GL, one QTLs under upland condition and four QTLs under lowland condition were detected respectively. These QTLs explained 5.97%–28.85% of phenotypic variance. The LOD score was 1.93–5.11. For GW, only one QTLs was detected under upland condition. The LOD score and general contribution was 2.39 and 12.76% respectively. For LWR, one QTLs under upland condition and two QTLs under lowland condition was detected respectively. These QTLs explained 7.78%–21.89% of phenotypic variance. The LOD score was 2.08–4.60. For GWt, there were two additive QTLs under upland condition and three additive QTLs under lowland condition respectively. They explained 4.1%–14.8% of phenotypic variance. The LOD score was 2.68–9.45. Three QTLs qGL-5, qGWt-1a and qGWt-1b were both detected under upland and lowland environments (common QTL). Two co-localized QTLs (qGL-1a and qGWt-1a, and qGL-1b and qGWt-1b) controlling GL and GW were detected. These QTLs would be helpful in MAS of grain shape breeding.

Key words: Rice, Grain shape, Grain weight, Doubled haploid population, Quantitative trait loci

[1] TIAN Tian, CHEN Li-Juan, HE Hua-Qin. Identification of rice blast resistance candidate genes based on integrating Meta-QTL and RNA-seq analysis [J]. Acta Agronomica Sinica, 2022, 48(6): 1372-1388.
[2] ZHENG Chong-Ke, ZHOU Guan-Hua, NIU Shu-Lin, HE Ya-Nan, SUN wei, XIE Xian-Zhi. Phenotypic characterization and gene mapping of an early senescence leaf H5(esl-H5) mutant in rice (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2022, 48(6): 1389-1400.
[3] ZHOU Wen-Qi, QIANG Xiao-Xia, WANG Sen, JIANG Jing-Wen, WEI Wan-Rong. Mechanism of drought and salt tolerance of OsLPL2/PIR gene in rice [J]. Acta Agronomica Sinica, 2022, 48(6): 1401-1415.
[4] ZHENG Xiao-Long, ZHOU Jing-Qing, BAI Yang, SHAO Ya-Fang, ZHANG Lin-Ping, HU Pei-Song, WEI Xiang-Jin. Difference and molecular mechanism of soluble sugar metabolism and quality of different rice panicle in japonica rice [J]. Acta Agronomica Sinica, 2022, 48(6): 1425-1436.
[5] YAN Jia-Qian, GU Yi-Biao, XUE Zhang-Yi, ZHOU Tian-Yang, GE Qian-Qian, ZHANG Hao, LIU Li-Jun, WANG Zhi-Qin, GU Jun-Fei, YANG Jian-Chang, ZHOU Zhen-Ling, XU Da-Yong. Different responses of rice cultivars to salt stress and the underlying mechanisms [J]. Acta Agronomica Sinica, 2022, 48(6): 1463-1475.
[6] YANG Jian-Chang, LI Chao-Qing, JIANG Yi. Contents and compositions of amino acids in rice grains and their regulation: a review [J]. Acta Agronomica Sinica, 2022, 48(5): 1037-1050.
[7] DENG Zhao, JIANG Nan, FU Chen-Jian, YAN Tian-Zhe, FU Xing-Xue, HU Xiao-Chun, QIN Peng, LIU Shan-Shan, WANG Kai, YANG Yuan-Zhu. Analysis of blast resistance genes in Longliangyou and Jingliangyou hybrid rice varieties [J]. Acta Agronomica Sinica, 2022, 48(5): 1071-1080.
[8] YANG De-Wei, WANG Xun, ZHENG Xing-Xing, XIANG Xin-Quan, CUI Hai-Tao, LI Sheng-Ping, TANG Ding-Zhong. Functional studies of rice blast resistance related gene OsSAMS1 [J]. Acta Agronomica Sinica, 2022, 48(5): 1119-1128.
[9] ZHU Zheng, WANG Tian-Xing-Zi, CHEN Yue, LIU Yu-Qing, YAN Gao-Wei, XU Shan, MA Jin-Jiao, DOU Shi-Juan, LI Li-Yun, LIU Guo-Zhen. Rice transcription factor WRKY68 plays a positive role in Xa21-mediated resistance to Xanthomonas oryzae pv. oryzae [J]. Acta Agronomica Sinica, 2022, 48(5): 1129-1140.
[10] WANG Xiao-Lei, LI Wei-Xing, OU-YANG Lin-Juan, XU Jie, CHEN Xiao-Rong, BIAN Jian-Min, HU Li-Fang, PENG Xiao-Song, HE Xiao-Peng, FU Jun-Ru, ZHOU Da-Hu, HE Hao-Hua, SUN Xiao-Tang, ZHU Chang-Lan. QTL mapping for plant architecture in rice based on chromosome segment substitution lines [J]. Acta Agronomica Sinica, 2022, 48(5): 1141-1151.
[11] WANG Ze, ZHOU Qin-Yang, LIU Cong, MU Yue, GUO Wei, DING Yan-Feng, NINOMIYA Seishi. Estimation and evaluation of paddy rice canopy characteristics based on images from UAV and ground camera [J]. Acta Agronomica Sinica, 2022, 48(5): 1248-1261.
[12] KE Jian, CHEN Ting-Ting, WU Zhou, ZHU Tie-Zhong, SUN Jie, HE Hai-Bing, YOU Cui-Cui, ZHU De-Quan, WU Li-Quan. Suitable varieties and high-yielding population characteristics of late season rice in the northern margin area of double-cropping rice along the Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(4): 1005-1016.
[13] CHEN Yue, SUN Ming-Zhe, JIA Bo-Wei, LENG Yue, SUN Xiao-Li. Research progress regarding the function and mechanism of rice AP2/ERF transcription factor in stress response [J]. Acta Agronomica Sinica, 2022, 48(4): 781-790.
[14] WANG Lyu, CUI Yue-Zhen, WU Yu-Hong, HAO Xing-Shun, ZHANG Chun-Hui, WANG Jun-Yi, LIU Yi-Xin, LI Xiao-Gang, QIN Yu-Hang. Effects of rice stalks mulching combined with green manure (Astragalus smicus L.) incorporated into soil and reducing nitrogen fertilizer rate on rice yield and soil fertility [J]. Acta Agronomica Sinica, 2022, 48(4): 952-961.
[15] QIN Qin, TAO You-Feng, HUANG Bang-Chao, LI Hui, GAO Yun-Tian, ZHONG Xiao-Yuan, ZHOU Zhong-Lin, ZHU Li, LEI Xiao-Long, FENG Sheng-Qiang, WANG Xu, REN Wan-Jun. Characteristics of panicle stem growth and flowering period of the parents of hybrid rice in machine-transplanted seed production [J]. Acta Agronomica Sinica, 2022, 48(4): 988-1004.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!