Scientia Agricultura Sinica ›› 2022, Vol. 55 ›› Issue (5): 825-836.doi: 10.3864/j.issn.0578-1752.2022.05.001


Mapping of QTLs for Chlorophyll Content in Flag Leaves of Rice on High-Density Bin Map

ZHAO Ling(),ZHANG Yong,WEI XiaoDong,LIANG WenHua,ZHAO ChunFang,ZHOU LiHui,YAO Shu,WANG CaiLin,ZHANG YaDong()   

  1. Institute of Food Crops, Jiangsu Academy of Agricultural Sciences/Jiangsu High Quality Rice R&D Center /Nanjing Branch of China National Center for Rice Improvement, Nanjing 210014
  • Received:2021-10-20 Accepted:2021-11-25 Online:2022-03-01 Published:2022-03-08
  • Contact: YaDong ZHANG;


【Objective】Finding new loci and genes related to rice chlorophyll content, and providing new theoretical basis for the research on the genetic mechanism of rice chlorophyll content. 【Method】 A recombinant inbred line (RIL) population containing 186 lines was constructed by crossing the japonica rice TD70 and the indica rice Kasalath with obvious difference in the chlorophyll content of the flag leaf. The two parents and RIL population were re-sequenced to construct a high-density genetic linkage map with 12 328 recombination Bin markers. The RILs and two parents were planted in fields at the Jiangsu Academy of Agricultural Sciences, in Nanjing in 2011 and 2020. The contents of chlorophyll of flag leaves were directly measured using the chlorophyll meter SPAD-502 on the 3rd day after heading. QTLs that control the chlorophyll content of the flag leaf at the heading stage of rice were detected by IciMappingv3.4 software with inclusive compound interval mapping method. The photosynthesis parameters of 20 SPAD extreme strains in the RIL population were measured with a portable photosynthesis system. 【Result】19 QTLs controlling chlorophyll content of flag leaves were detected on 9 chromosomes except Chr.8, Chr.9 and Chr.10 in two years. The phenotype variation explained (PVE) of single QTL ranged from 3.09% to 13.13%, LOD value ranged from 2.74 to 14.08. After comparing the physical positions, 10 QTLs were found to locate in the same interval or adjacent to previously QTLs. qCHL2-1 and qCHL5-1 were detected every year showing their genetic stability. qCHL2-1 was mapped between the 7.63-7.71 Mb on chromosome 2, and the two-year LOD values are 14.08 and 7.93 with the PVE 13.13% and 7.94%, respectively. qCHL5-1 was mapped between the 23.44-23.49 Mb on chromosome 5, and the two-year LOD values are 4.31 and 3.76, respectively. After the annotation and sequences analysis of genes located in the region of qCHL2-1and qCHL5-1, two genes, Os02g0236000 and Os05g0476700, were found to be associated with chlorophyll content of flag leaves in the rice. There are differences in sequences of the two genes between TD70 and Kasalath. Os02g0236000 is the AAT1 gene encoding the Aspartate Aminotransferase, which is an important enzyme in nitrogen metabolism and related to protein and amino acid content of rice. Os05g0476700 encodes protein relating to spotted leaf, which might associate with leaf color. Based on the mutation of AAT1 at CDS+273 bp, the haplotypes of ATT1 were classified in RIL population. Among the 20 extreme SPAD RIL lines, there were significant differences between different haplotype of ATT1 in SPAD value, chlorophyll content, water use efficiency, transpiration rate, stomatal conductance and net photosynthetic rate of flag leaf. 【Conclusion】19 QTLs associated with chlorophyll content in flag leaf at heading stage of rice were detected and two stable QTL loci, qCHL2-1and qCHL5-1 were identified. Two candidate genes were obtained after annotation and sequence comparison. One of them, ATT1, was considered as the most possible candidate gene after effort analysis of different haplotypes in photosynthetic efficiency. The QTLs and gene we obtained could be used for subsequent functional studies of flag leaf chlorophyll regulation and molecular marker breeding.

Key words: rice (Oryza sativa L.), recombinant inbred lines, high-density bin map, chlorophyll content, QTL

Fig. 1

Flag leaves of RIL population and two parents at the heading time"

Table 1

Chlorophyll content of flag leaves among the RIL population and two parents at the heading time"

亲本Parents 重组自交系RIL population
TD70 Kasalath 平均值Average 变异范围 Range 变异系数 CV (%) 峰度 Kurtosis 偏度 Skewness
2011 48.20±0.70 34.50±0.78 42.08 30.51—49.00 9.29 -0.42 -0.42
2020 46.20±1.37 38.10±0.72 40.58 27.53—50.83 9.36 0.13 -0.11

Fig. 2

Distribution of chlorophyll content of flag leaves among RIL population"

Table 2

Identification of QTL contributing to rice chlorophyll content of flag leaves in RIL population"

QTL 染色体
Marker interval
Confidence interval (Mb)
LOD 贡献率
PVE (%)
Additive effect
2011 qCHL1-1 1 RBN0894—RBN0895 25.69—25.72 6.46 6.47 -1.43
qCHL1-2 1 RBN1045—RBN1046 31.76—31.83 6.45 5.55 -1.18
qCHL2-1* 2 RBN1570—RBN1571 7.63—7.71 14.08 13.13 -1.81
qCHL2-2 2 RBN2335—RBN2336 35.12—35.15 2.74 3.76 -1.14
qCHL3-1 3 RBN3011—RBN3012 25.41—25.44 4.85 4.04 0.99
qCHL5-1* 5 RBN5254—RBN5255 23.44—23.49 4.31 3.57 0.91
qCH6-1 6 RBN6496—RBN6497 29.42—29.48 4.67 3.92 -1.11
qCH7 7 RBN7384—RBN7385 24.35—24.37 5.09 7.79 2.37
2020 qCHL1-3 1 RBN0126—RBN0127 3.16—3.22 8.22 10.95 1.42
qCHL1-4 1 RBN0145—RBN0146 3.93—3.95 9.19 9.64 1.32
qCHL2-1* 2 RBN1570—RBN1571 7.63—7.71 7.93 7.94 -1.24
qCHL2-3 2 RBN2330—RBN2331 35.03—35.10 3.27 8.01 -1.28
qCHL3-2 3 RBN2365—RBN2366 0.33—0.36 4.52 3.54 0.93
qCHL4 4 RBN4072—RBN4073 23.30—23.38 7.47 7.71 -1.17
qCHL5-2 5 RBN4489—RBN4490 0.19—0.26 4.72 4.68 1.11
qCHL5-1* 5 RBN5254—RBN5255 23.44—23.49 3.76 4.82 0.86
qCH6-2 6 RBN6322—RBN6323 24.40—24.50 5.63 5.68 -1.01
qCHL11 11 RBN10911—RBN10912 20.63—20.70 4.00 3.89 0.84
qCHL12-1 12 RBN11570—RBN11571 8.13—8.45 2.84 3.09 1.73
qCHL12-2 12 RBN12254—RBN12255 25.50—25.54 6.10 4.98 -1.03
qCHL12-3 12 RBN12262—RBN12263 25.70—25.74 3.84 5.31 -0.98

Table 3

Annotated genes in interval of qCHL2-1 and qCHL5-1"

QTL 染色体
Interval (Mb)
qCHL2-1 2 7.63—7.71 Os02g0235000 肌动蛋白相关蛋白2/3复合亚基3类似蛋白
Similar to Actin-related protein 2/3 complex subunit 3
Os02g0235600 60S核糖体蛋白L11-2 (L16)类似蛋白
Similar to 60S ribosomal protein L11-2 (L16)
Os02g0235900 包含氧氧化还原酶共价FAD结合位点结构域的蛋白
Oxygen oxidoreductase covalent FAD-binding site domain containing protein
Os02g0236000 天冬氨酸氨基转移酶 Aspartate aminotransferase (EC
qCHL5-1 5 23.44—23.49 Os05g0476466 CBL互作蛋白激酶28类似蛋白 Similar to CBL-interacting protein kinase 28
Os05g0476700 U-box E3泛素连接酶,斑点叶 U-box E3 ubiquitin ligase, spotted leaf
Os05g0477300 含有核糖体蛋白S26e结构域蛋白
Ribosomal protein S26e domain containing protein
Os05g0477500 含DUF3615结构域未知功能蛋白
Protein of unknown function DUF3615 domain containing protein
Os05g0477600 α-扩展蛋白OsEXPA4 Alpha-expansion OsEXPA4

Fig. 3

The effect of mutation of AAT1 at CDS+273 bp (T/C) on photosynthesis of 20 extreme SPAD RIL lines HapA: The base is T at CDS+273 bp of AAT1; HapB: The base is C at CDS+273 bp of AAT1. Different lowercase letters indicate significantly different (P<0.05)"

Table 4

Overlap of known QTLs contributed to leaves’ Chlorophyll content with QTLs detected in this study"

本研究This study 已发表的相关位点/基因 Known QTLs/Genes
QTL 染色体
Position (Mb)
Population /Acc. No.
Position (Mb)
qCHL1-1 1 25.69—25.72 抽穗后7 d叶绿素含量
Chlorophyll content at 7d after heading
Nipponbare/Kasalath//Nipponbare BILs
25.13—26.19 [29]
qCHL1-2 1 31.76—31.83 干旱胁迫下的剑叶或倒2叶叶绿素含量
Chlorophyll content in drought stress
珍汕97B/IRAT109 RILs
Zhenshan 97B/IRAT109 RILs
30.1—33.86 [26]
Chlorophyll content of up most fully expanded leaf at tillering period
ZYQ8/JX17 DHs 30.06—32.06 [27]
Chlorophyll content of flag leaf at jointing stage
沈农0530-9/北陆129 F2(F2:3
Shennong0530-9/Habataki F2 (F2:3)
30.17—34.1 [28]
qCHL2-1 2 7.63—7.71 成熟期剑叶叶绿素含量
Chlorophyll content of flag leaf at mature stage
Shennong 265/Lijiangxintuanheigu RILs
2.88—9.47 [11]
Chlorophyll content of flag leaf at tillering stage
岗46B/A232 RILs
Gang 46B/A232 RILs
5.20—8.76 [30]
Leaf chlorophyll b content at developmental stage
ZS97/WY2 DHs 7.43—11.41 [31]
qCHL3-1 3 25.41—25.44 叶绿素b还原酶 Chlorophyll b reductase LOC_Os03g45194 25.52 [37]
qCHL4 4 23.30—23.38 分蘖期剑叶叶绿素含量
Chlorophyll content of flag leaf at tillering stage
岗46B/A232 RILs
Gang 46B/A232 RILs
23.17—31.27 [30]
Chlorophyll content at seedling stage
珍汕97A/明恢63 RILs
Zhenshan 97A/Minghui 63 RILs
22.28—26.86 [36]
抽穗5 和25 d叶绿素含量的降低
Decreased chlorophyll content between leaves at 5 and 25 days after heading
Nipponbare/Kasalath BC1F1 22.27—26.38 [38]
qCHL5-1 5 23.44—23.49 抽穗7d剑叶叶绿素b含量
Chlorophyll b content of flag leaf at 7 days after heading
窄叶青8号/京系17 DH
Zhaiyeqing 8/Jingxi 17 DH
19.27—31.45 [32]
Chlorophyll b content of flag leaf at full-heading stage
Dular/Lemont RILs 3.89—24.09 [33]
Degree of greenness of flag leaf at heading stage
珍汕97B/IRAT109 RILs
Zhenshan 97/IRAT109 RILs
20.17—26.84 [34]
Chlorophyll b contents of flag leaf at booting stage
Towada/Lijiangxintuanheigu RILs
0.46—23.95 [35]
Glutamate -1-semialdehyde aminotransferase
LOC_Os05g39770 23.35 [11, 24]
qCHL5-2 5 0.19—0.26 干旱胁迫下的剑叶或倒2叶叶绿素含量
Chlorophyll content of leaves in drought stress
珍汕97B/IRAT109 RILs
Zhenshan 97B/IRAT109 RILs
0.1—0.18 [26]
qCHL6 6 24.40—24.50 干旱胁迫下的剑叶或倒2叶叶绿素含量
Chlorophyll content of leaves in drought stress
珍汕97B/IRAT109 RILs
Zhenshan 97B/IRAT109 RILs
24.03—28.13 [26]
抽穗后5d和25 d叶绿素含量的降低
Decreased chlorophy content between leaves at 5 and 25 days after heading
Nipponbare/Kasalath BC1F1 27.61—31.17 [38]
qCH7 7 24.35—24.37 羟甲基后胆色素原合酶
Hydroxymethylbilane synthase
LOC_Os07g40250 24.13 [11]
Nitrate and di/tripeptide transporter OsNPF7.1
LOC_Os07g41250 24.72 [12]
qCHL11 11 20.63—20.70 成熟期剑叶叶绿素含量
Chlorophyll content of flag leaf at mature stage
Shennong 265/Lijiangxintuanheigu RILs
18.13—28.28 [11]
[1] CURRAN P J, DUNGAN J L, GHOLZ H L. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. Tree Physiology, 1990, 7:33-48.
doi: 10.1093/treephys/7.1-2-3-4.33
[2] FILELLA I, SERRANO I, SERRA J, PEÑUELAS J. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Science, 1995, 35:1400-1405.
doi: 10.2135/cropsci1995.0011183X003500050023x
[3] NOODEN L D, GUIAMET J J, JOHN I. Senescence mechanisms. Physiologia Plantarum, 1997, 101:746-753.
doi: 10.1111/ppl.1997.101.issue-4
[4] NEUFELD H S, CHAPPELKA A H, SOMERS G L, BURKEY K O, DAVISON A W, FINKELSTEIN P L. Visible foliar injury caused by ozone alters the relationship between SPAD meter readings and chlorophyll concentrations in cut leaf coneflower. Photosynthesis Research, 2006, 87:281-286.
doi: 10.1007/s11120-005-9008-x
[5] XUE D W, CHEN M C, ZHOU M X, CHEN S, MAO Y, ZHANG G P. QTL analysis of flag leaf in barley (Hordeum vulgare L.) for morphological traits and chlorophyll content. Journal of Zhejiang University (Science B), 2008, 9:938-943.
[6] LI Z K, PINSON S R M, STANSEL J W, PATERSON A H. Genetic dissection of the source-sink relationship affecting fecundity and yield in rice (Oryza sativa L.). Molecular Breeding, 1998, 4:419-426.
doi: 10.1023/A:1009608128785
[7] TAKAI T, KONDO M, YANO M, YAMAMOTO T. A quantitative trait locus for chlorophyll content and its association with leaf photosynthesis in rice. Rice, 2010, 3:172-180.
doi: 10.1007/s12284-010-9047-6
[8] YANG L, WANG J, LEI L, WANG J, SUBHANI M J, LIU H, JIAN S, ZHENG H, ZHAO H, ZOU D. QTL mapping for heading date, leaf area and chlorophyll content under cold and drought stress in two related recombinant inbred line populations (japonica rice) and meta-analysis. Plant Breeding, 2018, 137:527-545.
doi: 10.1111/pbr.2018.137.issue-4
[9] YOO J H, PARK J H, CHO S H, YOO S C, LI J, ZHANG H, KIM K. The rice bright green leaf (bgl) locus encodes OsRopGEF10, which activates the development of small cuticular papillae on leaf surfaces. Plant Molecular Biology, 2011, 77:631-641.
doi: 10.1007/s11103-011-9839-0
[10] KANBE T, SASAKI H, AOKI N, YAMAGISHI T, OHSUGI R. The QTL analysis of RuBisCO in flag leaves and non-structural carbohydrates in leaf sheaths of rice using chromosome segment substitution lines and backcross progeny F2 populations. Plant Production Science, 2009, 12(2):224-232.
doi: 10.1626/pps.12.224
[11] 姜树坤, 张喜娟, 徐正进, 陈温福. 粳稻叶绿素含量QTL与其合成降解相关基因的比较分析. 作物学报, 2010, 36(3):376-384.
doi: 10.3724/SP.J.1006.2010.00376
JIANG S K, ZHANG X J, XU Z J, CHEN W F. Comparison between QTLs for chlorophyll content and genes controlling chlorophyll biosynthesis and degradation in japonica rice (Oryza sativa L.). Acta Agronomica Sinica, 2010, 36(3):376-384. (in Chinese)
doi: 10.3724/SP.J.1006.2010.00376
[20] 赵全志, 丁艳锋, 王强盛, 黄丕生, 凌启鸿. 水稻叶色变化与氮素吸收的关系. 中国农业科学, 2006, 39(5):916-921.
ZHAO Q Z, DING Y F, WANG Q S, HUANG P S, LING Q H. Relationship between leaf color and nitrogen uptake of rice. Scientia Agricultura Sinica, 2006, 39(5):916-921. (in Chinese)
[12] 叶卫军. 水稻叶绿素含量QTL qFCC7_L的精细定位&叶色控制基因WSL12的克隆与功能分析[D]. 杭州: 浙江大学, 2016.
YE W J. Fine mapping leaf Chorlphy II content QTL qFCC7 and cloning and function analysis of leaf color gene WSL12[D]. Hangzhou: Zhejiang University, 2016. (in Chinese)
[21] 范淑秀, 王嘉宇, 毛艇, 徐正进. 水稻孕穗期叶绿素含量的QTL定位. 华北农学报, 2010, 25(4):69-72.
FANG S X, WANG J Y, MAO T, XU Z J. Identification of QTLs for chlorophyll content at booting stage in rice. Acta Agriculturae Boreali-Sinica, 2010, 25(4):69-72. (in Chinese)
[22] 沈波, 庄杰云, 张克勤, 戴伟民, 鲁烨, 傅丽卿, 丁佳铭, 郑康乐. 水稻叶绿素含量的QTL及其与环境互作分析. 中国农业科学, 2005, 38(10):1937-1943.
SHEN B, ZHUANG J Y, ZHANG K Q, DAI W M, LU Y, FU L Q, DING J M, ZHENG K L. Analysis of interaction between QTL and environment on chlorophyll contents in rice. Scientia Agricultura Sinica, 2005, 38(10):1937-1943. (in Chinese)
[23] YANO M, HARUSHIMA Y, NAGAMURA Y, KURATA N, MINOBE Y, SASAKI T. Identification of quantitative trait loci controlling heading date in rice using a high-density linkage map. Theoretical Applied Genetics, 1997, 95(7):1025-1032.
doi: 10.1007/s001220050658
[24] KOTHARI K S, DANSANA P K, GIRI J, TYAGI A K. Rice stress associated protein 1 (OsSAP1) interacts with aminotransferase (OsAMTR1) and pathogenesis-related 1a protein (OsSCP) and regulates abiotic stress responses. Frontiers in Plant Science, 2016, 7:1057.
[25] 董骥驰, 杨靖, 郭涛, 陈立凯, 陈志强, 王慧. 基于高密度Bin图谱的水稻抽穗期QTL定位. 作物学报, 2018, 44(6):938-946.
DONG J C, YANG J, GUO T, CHEN L K, CHEN Z Q, WANG H. QTL mapping for heading date in rice using high-density Bin map. Acta Agronomica Sinica, 2018, 44(6):938-946. (in Chinese)
[13] 唐立群, 肖层林, 王伟平. SNP分子标记的研究及其应用进展. 中国农学通报, 2012, 28(12):154-158.
TANG L Q, XIAO C L, WANG W P. Research and application progress of SNP markers. Chinese Agricultural Science Bulletin, 2012, 28(12):154-158. (in Chinese)
[26] 胡颂平, 梅捍卫, 邹桂花, 刘鸿艳, 刘国兰, 蔡润, 李明寿, 罗利军. 正常与水分胁迫下水稻叶片叶绿素含量的QTL分析. 植物生态学报, 2006, 30(3):479-486.
doi: 10.17521/cjpe.2006.0064
HU S P, MEI H W, ZOU G H, LIU H Y, LIU G L, CAI R, LI M S, LUO L J. Analysis of quantitative trait loci for chlorophyll content in rice leaves under drought stress. Chinese Journal of Plant Ecology, 2006, 30(3):479-486. (in Chinese)
doi: 10.17521/cjpe.2006.0064
[27] TENG S, QIAN Q, ZENG D, KUNIHIRO Y, KAN F, HUANG D, ZHU L. QTL analysis of leaf photosynthetic rate and related physiological traits in rice (Oryza sativa L.). Euphytica, 2004, 135:1-7.
doi: 10.1023/B:EUPH.0000009487.89270.e9
[28] 刘进, 姚晓云, 范淑秀, 黎毛毛, 郭乃辉, 王鑫瑞, 王嘉宇, 陈温福. 水稻叶绿素含量和穗部性状的QTL及其相互关系分析. 沈阳农业大学学报, 2018, 49(6):641-648.
LIU J, YAO X Y, FAN S X, LI M M, GUO N H, WANG Q R, WANG J Y, CHEN W F. Mapping of QTLs for chlorophyll content and panicle traits and their relationship in rice (Oryza Sativa L.). Journal of Shenyang Agricultural University, 2018, 49(6):641-648. (in Chinese)
[29] 胡茂龙, 张迎信, 孔令娜, 杨权海, 王春明, 翟虎渠, 万建民. 利用回交重组自交系群体检测3个水稻光合功能相关性状QTL. 作物学报, 2006, 32(11):1630-1635.
HU M L, ZHANG Y X, KONG L N, YANG Q H, WANG C M, ZHAI H Q, WAN J M. QTL Detection for three traits associated with photosynthetic functions in rice using backcross inbred lines. Acta Agronomica Sinica, 2006, 32(11):1630-1635. (in Chinese)
[30] 李永洪, 李传旭, 刘成元, 何珊, 向箭宇, 谢戎. 利用岗46B/A232重组自交系群体分析叶绿素含量相关QTL. 西南农业学报, 2018, 31(11):2223-2228.
LI Y H, LI C X, LIU C Y, HE S, XIANG J Y, XIE R. QTL analysis for chlorophyll content using recombinant inbred lines of Gang46B/A232. Southwest China Journal of Agricultural Sciences, 2018, 31(11):2223-2228. (in Chinese)
[31] JIANG G, ZENG J, HE Y. Analysis of quantitative trait loci affecting chlorophyll content of rice leaves in a double haploid population and two backcross populations. Gene, 2014, 536:287-295.
doi: 10.1016/j.gene.2013.12.010
[32] 杨国华, 李邵清, 冯玲玲, 孔进, 李辉, 李阳生. 水稻剑叶叶绿素含量相关性状的QTL分析. 武汉大学学报(理学版), 2006, 52(6):751-756.
YANG G H, LI S Q, FENG L L, KONG J, LI H, LI Y S. Analysis of QTL underlying the traits relative to the chlorophyll contents of the flag leaf in rice. Journal of Wuhan University (Natural Science Edition), 2006, 52(6):751-756. (in Chinese)
[14] 王朝欢, 宋博文, 余思佳, 肖武名, 黄明. 基于全基因组测序构建水稻RIL群体遗传图谱. 华南农业大学学报, 2021, 42(2):44-50.
WANG C H, SONG B W, YU S J, XIAO W M, HUANG M. Construction of a genetic map of rice RILs based on whole genome sequencing. Journal of South China Agricultural University, 2021, 42(2):44-50. (in Chinese)
[15] 董少玲, 张颖慧, 张亚东, 陈涛, 赵庆勇, 朱镇, 周丽慧, 姚姝, 赵凌, 王才林. 水稻重组自交系分子遗传图谱构建及分蘖角的QTL检测. 江苏农业学报, 2012, 28(2):236-242.
DONG S L, ZHANG Y H, ZHANG Y D, CHEN T, ZHAO Q Y, ZHU Z, ZHOU L H, YAO S, ZHAO L, WANG C L. Construction of molecular genetic linkage map based on a rice RIL population and detection of QTL for tiller angle. Jiangsu Journal of Agricultural Sciences, 2012, 28(2):236-242. (in Chinese)
[16] 张亚东, 梁文化, 赫磊, 赵春芳, 朱镇, 陈涛, 赵庆勇, 赵凌, 姚姝, 周丽慧, 路凯, 王才林. 水稻RIL群体高密度遗传图谱构建及粒型QTL定位. 中国农业科学, 2021, 54(24):5163-5176.
ZHANG Y D, LIANG W H, HE L, ZHAO C F, ZHU Z, CHEN T, ZHAO Q Y, ZHAO L, YAO S, ZHOU L H, LU K, WANG C L. Construction of high-density genetic map and QTL analysis of grain shape in rice RIL population. Scientia Agricultura Sinica, 2021, 54(24):5163-5176. (in Chinese)
[33] 孙小霞, 邓家耀, 江宝月, 贾小丽, 熊君, 林文雄. 水稻生育后期叶绿素含量的QTLs及其与环境的互作分析. 应用生态学报, 2008, 19(12):2651-2655.
SUN X X, DENG J Y, JIANG B Y, JIA X L, XIONG J, LIN W X. Analysis on quantitative trait loci associated with leaf chlorophyll content and their interactions with environment at late growth stage of rice. Chinese Journal of Applied Ecology, 2008, 19(12):2651-2655. (in Chinese)
[17] MENG L, LI H, ZHANG L, WANG J. QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in bi-parental populations. Crop Journal, 2015, 3:269-283.
doi: 10.1016/j.cj.2015.01.001
[18] MCCOUCH S R, CHO Y G, YANO M, PAUL E, BLINSTRUB M, MORISHIMA H, MCCOUCH S, CHO Y, PAUL E, MORISHIMA H. Report on QTL nomenclature. Rice Genetics Newsletter, 1997, 14:11-13.
[19] 周莹. 水稻中天冬氨酸转氨酶的分子生物学研究和转基因应用[D]. 武汉: 华中农业大学, 2009.
ZHOU Y. Research of progress molecular biology and application of aspartate aminotransferase in rice[D]. Wuhan: Huazhong Agricultural University, 2009. (in Chinese)
[34] YUE B, XUE W Y, LUO L J, XING Y Z. QTL analysis for flag leaf characteristics and their relationships with yield and yield traits in rice. Acta Genetica Sinica, 2006, 33:824-832.
doi: 10.1016/S0379-4172(06)60116-9
[35] 杨树明, 刘关所, 张素华. 不同生长环境下水稻孕穗期叶绿素QTL定位. 云南大学学报(自然科学版), 2017, 39(4):684-690.
YANG S M, LIU G S, ZHANG S H. Identification of QTL for chlorophyll contents at booting stage of rice under different growing environments Journal of Yunnan University (Natural Sciences Edition), 2017, 39(4):684-690. (in Chinese)
[36] CUI K, PENG S, XING Y, YU S, XU C. Molecular dissection of relationship between seedling characteristics and seed size in rice. Acta Botanica Sinica, 2002, 44:702-707.
[37] SATO Y, MORITA R, KATSUMA S, NISHIMURA M, KUSABA M. Two short-chain dehydrogenase/reductases, NON-YELLOW COLORING 1 and NYC1-LIKE, are required for chlorophyll b and light-harvesting complex II degradation during senescence in rice. The Plant Journal, 2010, 57(1):120-131.
doi: 10.1111/tpj.2008.57.issue-1
[38] ISHIMARU K, YANO M, AOKI N, ONO K, HIROSE T, LIN SY, MONNA L, SASAKI T, OHSUGI R. Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags. Theoretical and Applied Genetics, 2001, 102(6/7):793-800.
doi: 10.1007/s001220000467
[1] CHEN JiHao, ZHOU JieGuang, QU XiangRu, WANG SuRong, TANG HuaPing, JIANG Yun, TANG LiWei, $\boxed{\hbox{LAN XiuJin}}$, WEI YuMing, ZHOU JingZhong, MA Jian. Mapping and Analysis of QTL for Embryo Size-Related Traits in Tetraploid Wheat [J]. Scientia Agricultura Sinica, 2023, 56(2): 203-216.
[2] TANG HuaPing,CHEN HuangXin,LI Cong,GOU LuLu,TAN Cui,MU Yang,TANG LiWei,LAN XiuJin,WEI YuMing,MA Jian. Unconditional and Conditional QTL Analysis of Wheat Spike Length in Common Wheat Based on 55K SNP Array [J]. Scientia Agricultura Sinica, 2022, 55(8): 1492-1502.
[3] WANG HuiLing, YAN AiLing, SUN Lei, ZHANG GuoJun, WANG XiaoYue, REN JianCheng, XU HaiYing. eQTL Analysis of Key Monoterpene Biosynthesis Genes in Table Grape [J]. Scientia Agricultura Sinica, 2022, 55(5): 977-990.
[4] LIU Jin,HU JiaXiao,MA XiaoDing,CHEN Wu,LE Si,JO Sumin,CUI Di,ZHOU HuiYing,ZHANG LiNa,SHIN Dongjin,LI MaoMao,HAN LongZhi,YU LiQin. Construction of High Density Genetic Map for RIL Population and QTL Analysis of Heat Tolerance at Seedling Stage in Rice (Oryza sativa L.) [J]. Scientia Agricultura Sinica, 2022, 55(22): 4327-4341.
[5] XIE XiaoYu, WANG KaiHong, QIN XiaoXiao, WANG CaiXiang, SHI ChunHui, NING XinZhu, YANG YongLin, QIN JiangHong, LI ChaoZhou, MA Qi, SU JunJi. Restricted Two-Stage Multi-Locus Genome-Wide Association Analysis and Candidate Gene Prediction of Boll Opening Rate in Upland Cotton [J]. Scientia Agricultura Sinica, 2022, 55(2): 248-264.
[6] LinHan ZOU,XinYing ZHOU,ZeYuan ZHANG,Rui YU,Meng YUAN,XiaoPeng SONG,JunTao JIAN,ChuanLiang ZHANG,DeJun HAN,QuanHao SONG. QTL Mapping of Thousand-Grain-Weight and Its Related Traits in Zhou 8425B × Xiaoyan 81 Population and Haplotype Analysis [J]. Scientia Agricultura Sinica, 2022, 55(18): 3473-3483.
[7] CHANG LiGuo,HE KunHui,LIU JianChao. Mining of Genetic Locus of Maize Stay-Green Related Traits Under Multi-Environments [J]. Scientia Agricultura Sinica, 2022, 55(16): 3071-3081.
[8] GUO ShuQing,SONG Hui,CHAI ShaoHua,GUO Yan,SHI Xing,DU LiHong,XING Lu,XIE HuiFang,ZHANG Yang,LI Long,FENG BaiLi,LIU JinRong,YANG Pu. QTL Analysis for Growth Period and Panicle-Related Traits in Foxtail Millet [J]. Scientia Agricultura Sinica, 2022, 55(15): 2883-2898.
[9] HAO Jing,LI XiuKun,CUI ShunLi,DENG HongTao,HOU MingYu,LIU YingRu,YANG XinLei,MU GuoJun,LIU LiFeng. QTL Mapping for Traits Related to Seed Number Per Pod in Peanut (Arachis hypogaea L.) [J]. Scientia Agricultura Sinica, 2022, 55(13): 2500-2508.
[10] MENG XinHao,DENG HongTao,LI Li,CUI ShunLi,Charles Y. CHEN,HOU MingYu,YANG XinLei,LIU LiFeng. QTL Mapping for Lateral Branch Angle Related Traits of Cultivated Peanut (Arachis hypogaea L.) [J]. Scientia Agricultura Sinica, 2021, 54(8): 1599-1612.
[11] HAN ZhanYu,WU ChunYan,XU YanQiu,HUANG FuDeng,XIONG YiQin,GUAN XianYue,ZHOU LuJian,PAN Gang,CHENG FangMin. Effects of High-Temperature at Filling Stage on Grain Storage Protein Accumulation and Its Biosynthesis Metabolism for Rice Plants Under Different Nitrogen Application Levels [J]. Scientia Agricultura Sinica, 2021, 54(7): 1439-1454.
[12] YinHua MA,KaiQin MO,Lu LIU,PingFang LI,ChenZhong JIN,Fang YANG. Effect of Overexpression of OsRRK1 Gene on Rice Leaf Development [J]. Scientia Agricultura Sinica, 2021, 54(5): 877-886.
[13] ZHANG YaDong,LIANG WenHua,HE Lei,ZHAO ChunFang,ZHU Zhen,CHEN Tao,ZHAO QingYong,ZHAO Ling,YAO Shu,ZHOU LiHui,LU Kai,WANG CaiLin. Construction of High-Density Genetic Map and QTL Analysis of Grain Shape in Rice RIL Population [J]. Scientia Agricultura Sinica, 2021, 54(24): 5163-5176.
[14] LUO JiangTao,ZHENG JianMin,DENG QingYan,LIU PeiXun,PU ZongJun. The Genetic Contribution of the Important Breeding Parent Chuanmai 44 to Its Derivatives [J]. Scientia Agricultura Sinica, 2021, 54(20): 4255-4264.
[15] WANG Ling,CAI Yi,WANG GuiChao,WANG Di,SHENG YunYan. Specific Length Amplified Fragment (SFLA) Sequencing Mapping Construction and QTL Analysis of Fruit Related Traits in Muskmelon [J]. Scientia Agricultura Sinica, 2021, 54(19): 4196-4206.
Full text



No Suggested Reading articles found!