Chinese Journal OF Rice Science ›› 2022, Vol. 36 ›› Issue (2): 159-170.DOI: 10.16819/j.1001-7216.2021.210204
• Research Papers • Previous Articles Next Articles
HUANG Tao1,2, WANG Yanning1, ZHONG Qi1, CHENG Qin1, YANG Mengmeng1, WANG Peng1, WU Guangliang1, HUANG Shiying1, LI Caijing1, YU Jianfeng1, HE Haohua1,3,*(), BIAN Jianmin1,3,*(
)
Received:
2021-02-06
Revised:
2021-05-02
Online:
2022-03-10
Published:
2022-03-11
Contact:
HE Haohua, BIAN Jianmin
黄涛1,2, 王燕宁1, 钟奇1, 程琴1, 杨朦朦1, 王鹏1, 吴光亮1, 黄诗颖1, 李才敬1, 余剑峰1, 贺浩华1,3,*(), 边建民1,3,*(
)
通讯作者:
贺浩华,边建民
基金资助:
HUANG Tao, WANG Yanning, ZHONG Qi, CHENG Qin, YANG Mengmeng, WANG Peng, WU Guangliang, HUANG Shiying, LI Caijing, YU Jianfeng, HE Haohua, BIAN Jianmin. Mapping and Analysis of QTLs for Rice Grain Weight and Grain Shape Using Chromosome Segment Substitution Line Population[J]. Chinese Journal OF Rice Science, 2022, 36(2): 159-170.
黄涛, 王燕宁, 钟奇, 程琴, 杨朦朦, 王鹏, 吴光亮, 黄诗颖, 李才敬, 余剑峰, 贺浩华, 边建民. 利用染色体片段置换系群体定位和分析水稻粒重和粒型QTL[J]. 中国水稻科学, 2022, 36(2): 159-170.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.ricesci.cn/EN/10.16819/j.1001-7216.2021.210204
性状 Trait | 环境Environment | 亲本 Parent | 置换系群体 CSSL | |||||
---|---|---|---|---|---|---|---|---|
9311 | 日本晴 Nipponbare | 均值±标准Mean±SD | 变幅 Range | 峰度Kurtosis | 偏度Skewness | |||
稻谷粒长 | E1 | 9.86±0.47** | 7.38±1.56 | 9.59±0.35 | 8.37~10.69 | -0.46 | 2.58 | |
Grain length / mm | E2 | 9.76±0.08** | 7.68±0.16 | 9.31±0.28 | 8.23~9.77 | -1.66 | 3.99 | |
E3 | 9.79±0.16** | 7.67±0.19 | 9.52±0.33 | 8.05~10.14 | -1.79 | 5.19 | ||
E4 | 9.80±0.24** | 7.63±0.29 | 9.78±0.31 | 8.71~10.30 | -1.06 | 1.42 | ||
稻谷粒宽 | E1 | 2.79±0.12* | 3.24±0.60 | 2.78±0.13 | 2.55~3.53 | 2.33 | 10.17 | |
Grain width / mm | E2 | 2.48±0.12* | 3.30±0.56 | 2.99±0.12 | 2.69~3.61 | 2.00 | 8.05 | |
E3 | 2.59±0.19* | 3.17±0.00 | 2.81±0.13 | 2.43~3.38 | 1.83 | 6.11 | ||
E4 | 2.65±0.14* | 3.13±0.42 | 2.83±0.11 | 2.56~3.27 | 1.43 | 4.11 | ||
稻谷长宽比 | E1 | 3.55±0.27** | 2.29±0.13 | 3.49±0.19 | 2.62~3.78 | -1.91 | 4.62 | |
Length-width ratio | E2 | 3.47±0.12** | 2.31±0.23 | 3.14±0.16 | 2.42~3.38 | 1.60 | 3.70 | |
E3 | 3.78±0.11** | 2.42±0.19 | 3.41±0.19 | 2.71~3.71 | -1.59 | 2.73 | ||
E4 | 3.70±0.05** | 2.34±0.14 | 3.47±0.18 | 2.60~3.80 | -1.82 | 5.04 | ||
稻谷粒厚 | E1 | 2.26±0.09 | 2.17±0.05 | 2.19±0.05 | 2.04~2.34 | 0.07 | 0.64 | |
Grain thickness / mm | E2 | 2.14±0.10 | 2.09±0.06 | 2.18±0.05 | 2.05~2.33 | 0.20 | 0.12 | |
E3 | 2.09±0.05 | 2.19±0.09 | 2.12±0.06 | 1.93~2.24 | -0.54 | 0.05 | ||
E4 | 1.99±0.06 | 2.01±0.12 | 2.10±0.05 | 1.95~2.20 | -0.33 | 0.05 | ||
稻谷千粒重 | E1 | 31.02±2.37** | 22.44±1.69 | 29.51±2.29 | 22.17~34.21 | -0.64 | 0.70 | |
1000-grain weight / g | E2 | 31.36±3.06** | 22.26±2.01 | 29.63±1.97 | 23.24~34.90 | -0.40 | 0.77 | |
E3 | 30.39±2.74** | 21.86±1.49 | 27.39±2.42 | 19.71~33.65 | -0.21 | 0.48 | ||
E4 | 32.53±2.36** | 22.65±1.84 | 29.46±2.16 | 23.46~33.49 | -0.58 | 0.41 | ||
糙米长 | E1 | 6.87±0.31** | 4.88±0.36 | 6.91±0.23 | 6.14~7.30 | -1.50 | 2.67 | |
Brown rice length | E2 | 6.84±0.41** | 0.86±0.49 | 6.84±0.24 | 5.94~7.36 | -1.64 | 3.57 | |
/mm | E3 | 6.91±0.46** | 4.99±0.61 | 6.93±0.24 | 5.96~7.39 | -1.54 | 3.65 | |
E4 | 6.91±0.37** | 4.70±0.23 | 6.92±0.27 | 5.97~7.54 | -0.57 | 0.55 | ||
糙米宽 | E1 | 2.38±0.12* | 2.70±0.08 | 2.36±0.11 | 2.17~2.92 | 2.04 | 7.85 | |
Brown rice width | E2 | 2.27±0.14* | 2.67±0.13 | 2.52±0.09 | 2.31~3.01 | 1.90 | 9.25 | |
/mm | E3 | 2.32±0.19* | 2.78±0.05 | 2.40±0.09 | 2.16~2.79 | 1.50 | 5.41 | |
E4 | 2.46±0.11* | 2.75±0.06 | 2.36±0.11 | 2.07~2.89 | 1.17 | 4.67 | ||
糙米长宽比 | E1 | 2.98±0.21** | 1.87±0.19 | 2.95±0.17 | 2.17~3.21 | -1.67 | 3.84 | |
Length-to-width ratio | E2 | 2.94±0.23** | 1.84±0.17 | 2.72±0.14 | 2.11~2.99 | -1.56 | 4.07 | |
of brown rice | E3 | 2.98±0.31** | 1.81±0.16 | 2.91±0.15 | 2.33~3.15 | -1.53 | 3.09 | |
E4 | 2.76±0.27** | 1.86±0.19 | 2.95±0.14 | 2.26~3.16 | -1.95 | 5.56 | ||
糙米厚 | E1 | 1.93±0.10 | 2.07±0.06* | 1.93±0.05 | 1.79~2.10 | 0.14 | 0.66 | |
Thickness of brown rice | E2 | 1.90±0.01 | 2.12±0.04* | 1.91±0.05 | 1.77~2.08 | 0.36 | 1.48 | |
/ mm | E3 | 1.85±0.07 | 1.96±0.06* | 1.87±0.05 | 1.73~2.07 | 0.10 | 2.63 | |
E4 | 1.91±0.06 | 2.10±0.05* | 1.88±0.05 | 1.77~2.06 | 0.37 | 0.38 | ||
糙米千粒重 | E1 | 23.55±0.49* | 21.88±0.32 | 24.64±1.57 | 20.47~29.46 | 0.03 | 0.33 | |
1000-grain weight | E2 | 22.86±0.09* | 21.76±0.36 | 24.32±1.37 | 20.34~28.20 | -0.21 | 0.72 | |
of brown rice / g | E3 | 22.29±0.14* | 20.35±0.60 | 23.14±1.61 | 18.19~27.60 | -0.10 | 0.31 | |
E4 | 23.67±0.52* | 21.66±0.54 | 2.83±1.56 | 19.63~26.95 | -0.39 | 0.00 |
Table 1 Grain weight and shape performance of 9311 and Nipponbare and CSSLs population in four environments.
性状 Trait | 环境Environment | 亲本 Parent | 置换系群体 CSSL | |||||
---|---|---|---|---|---|---|---|---|
9311 | 日本晴 Nipponbare | 均值±标准Mean±SD | 变幅 Range | 峰度Kurtosis | 偏度Skewness | |||
稻谷粒长 | E1 | 9.86±0.47** | 7.38±1.56 | 9.59±0.35 | 8.37~10.69 | -0.46 | 2.58 | |
Grain length / mm | E2 | 9.76±0.08** | 7.68±0.16 | 9.31±0.28 | 8.23~9.77 | -1.66 | 3.99 | |
E3 | 9.79±0.16** | 7.67±0.19 | 9.52±0.33 | 8.05~10.14 | -1.79 | 5.19 | ||
E4 | 9.80±0.24** | 7.63±0.29 | 9.78±0.31 | 8.71~10.30 | -1.06 | 1.42 | ||
稻谷粒宽 | E1 | 2.79±0.12* | 3.24±0.60 | 2.78±0.13 | 2.55~3.53 | 2.33 | 10.17 | |
Grain width / mm | E2 | 2.48±0.12* | 3.30±0.56 | 2.99±0.12 | 2.69~3.61 | 2.00 | 8.05 | |
E3 | 2.59±0.19* | 3.17±0.00 | 2.81±0.13 | 2.43~3.38 | 1.83 | 6.11 | ||
E4 | 2.65±0.14* | 3.13±0.42 | 2.83±0.11 | 2.56~3.27 | 1.43 | 4.11 | ||
稻谷长宽比 | E1 | 3.55±0.27** | 2.29±0.13 | 3.49±0.19 | 2.62~3.78 | -1.91 | 4.62 | |
Length-width ratio | E2 | 3.47±0.12** | 2.31±0.23 | 3.14±0.16 | 2.42~3.38 | 1.60 | 3.70 | |
E3 | 3.78±0.11** | 2.42±0.19 | 3.41±0.19 | 2.71~3.71 | -1.59 | 2.73 | ||
E4 | 3.70±0.05** | 2.34±0.14 | 3.47±0.18 | 2.60~3.80 | -1.82 | 5.04 | ||
稻谷粒厚 | E1 | 2.26±0.09 | 2.17±0.05 | 2.19±0.05 | 2.04~2.34 | 0.07 | 0.64 | |
Grain thickness / mm | E2 | 2.14±0.10 | 2.09±0.06 | 2.18±0.05 | 2.05~2.33 | 0.20 | 0.12 | |
E3 | 2.09±0.05 | 2.19±0.09 | 2.12±0.06 | 1.93~2.24 | -0.54 | 0.05 | ||
E4 | 1.99±0.06 | 2.01±0.12 | 2.10±0.05 | 1.95~2.20 | -0.33 | 0.05 | ||
稻谷千粒重 | E1 | 31.02±2.37** | 22.44±1.69 | 29.51±2.29 | 22.17~34.21 | -0.64 | 0.70 | |
1000-grain weight / g | E2 | 31.36±3.06** | 22.26±2.01 | 29.63±1.97 | 23.24~34.90 | -0.40 | 0.77 | |
E3 | 30.39±2.74** | 21.86±1.49 | 27.39±2.42 | 19.71~33.65 | -0.21 | 0.48 | ||
E4 | 32.53±2.36** | 22.65±1.84 | 29.46±2.16 | 23.46~33.49 | -0.58 | 0.41 | ||
糙米长 | E1 | 6.87±0.31** | 4.88±0.36 | 6.91±0.23 | 6.14~7.30 | -1.50 | 2.67 | |
Brown rice length | E2 | 6.84±0.41** | 0.86±0.49 | 6.84±0.24 | 5.94~7.36 | -1.64 | 3.57 | |
/mm | E3 | 6.91±0.46** | 4.99±0.61 | 6.93±0.24 | 5.96~7.39 | -1.54 | 3.65 | |
E4 | 6.91±0.37** | 4.70±0.23 | 6.92±0.27 | 5.97~7.54 | -0.57 | 0.55 | ||
糙米宽 | E1 | 2.38±0.12* | 2.70±0.08 | 2.36±0.11 | 2.17~2.92 | 2.04 | 7.85 | |
Brown rice width | E2 | 2.27±0.14* | 2.67±0.13 | 2.52±0.09 | 2.31~3.01 | 1.90 | 9.25 | |
/mm | E3 | 2.32±0.19* | 2.78±0.05 | 2.40±0.09 | 2.16~2.79 | 1.50 | 5.41 | |
E4 | 2.46±0.11* | 2.75±0.06 | 2.36±0.11 | 2.07~2.89 | 1.17 | 4.67 | ||
糙米长宽比 | E1 | 2.98±0.21** | 1.87±0.19 | 2.95±0.17 | 2.17~3.21 | -1.67 | 3.84 | |
Length-to-width ratio | E2 | 2.94±0.23** | 1.84±0.17 | 2.72±0.14 | 2.11~2.99 | -1.56 | 4.07 | |
of brown rice | E3 | 2.98±0.31** | 1.81±0.16 | 2.91±0.15 | 2.33~3.15 | -1.53 | 3.09 | |
E4 | 2.76±0.27** | 1.86±0.19 | 2.95±0.14 | 2.26~3.16 | -1.95 | 5.56 | ||
糙米厚 | E1 | 1.93±0.10 | 2.07±0.06* | 1.93±0.05 | 1.79~2.10 | 0.14 | 0.66 | |
Thickness of brown rice | E2 | 1.90±0.01 | 2.12±0.04* | 1.91±0.05 | 1.77~2.08 | 0.36 | 1.48 | |
/ mm | E3 | 1.85±0.07 | 1.96±0.06* | 1.87±0.05 | 1.73~2.07 | 0.10 | 2.63 | |
E4 | 1.91±0.06 | 2.10±0.05* | 1.88±0.05 | 1.77~2.06 | 0.37 | 0.38 | ||
糙米千粒重 | E1 | 23.55±0.49* | 21.88±0.32 | 24.64±1.57 | 20.47~29.46 | 0.03 | 0.33 | |
1000-grain weight | E2 | 22.86±0.09* | 21.76±0.36 | 24.32±1.37 | 20.34~28.20 | -0.21 | 0.72 | |
of brown rice / g | E3 | 22.29±0.14* | 20.35±0.60 | 23.14±1.61 | 18.19~27.60 | -0.10 | 0.31 | |
E4 | 23.67±0.52* | 21.66±0.54 | 2.83±1.56 | 19.63~26.95 | -0.39 | 0.00 |
Fig. 2. Correlation analysis between grain weight and shape related traits in CSSLs population under four environments. The redder the color, the closer the correlation coefficient r is to 1, meaning positive correlation. On the contrary, the bluer the color, the closer the correlation coefficient r is to -1, the negative correlation. GL, Grain length; GW, Grain width; GT, Grain thickness; LW, Length to width ratio; TGW, 1000-grain weight; BRL, Brown rice length; BRW, Brown rice width; BRLW, Length to width ratio of brown rice; BRTW, 1000-grain weight of brown rice.
QTL | 区间 Interval | E1 | E2 | E3 | E4 | ||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | ||||||||||||||||
qGL2 | M123-M124 | 3.32 | -0.29 | 7.63 | |||||||||||||||||||||||
qGL3.1 | M204-M205 | 6.61 | -0.48 | 17.64 | |||||||||||||||||||||||
qGL3.2 | M217-M218 | 3.40 | -0.30 | 11.16 | |||||||||||||||||||||||
qGL3.3 | 6.90 | -0.43 | 17.02 | ||||||||||||||||||||||||
qGL4.1 | M245-M246 | 3.01 | -0.38 | 7.48 | 3.04 | -0.34 | 6.94 | ||||||||||||||||||||
qGL4.2 | M255-M256 | 3.90 | -0.29 | 14.13 | |||||||||||||||||||||||
qGW1 | M9-M10 | 3.25 | -0.07 | 5.10 | |||||||||||||||||||||||
qGW2.1 | M142-M143 | 10.44 | 0.10 | 15.05 | |||||||||||||||||||||||
qGW2.2 | M157-M158 | 4.56 | 0.13 | 9.17 | |||||||||||||||||||||||
qGW5.2 | M334-M335 | 8.27 | 0.10 | 18.13 | |||||||||||||||||||||||
qGW5.1 | M328-M329 | 13.14 | 0.14 | 35.23 | 21.04 | 0.16 | 38.10 | 12.77 | 0.12 | 30.29 | 22.19 | 0.20 | 51.01 | ||||||||||||||
qGW7 | M491-M492 | 8.05 | 0.11 | 19.41 | |||||||||||||||||||||||
qGW8 | M537-M538 | 4.64 | -0.10 | 9.28 | |||||||||||||||||||||||
qGW9 | M553-M554 | 8.72 | -0.11 | 12.15 | |||||||||||||||||||||||
qGW10 | M639-M640 | 3.89 | 0.10 | 6.24 | |||||||||||||||||||||||
qLW2.1 | M136-M137 | 4.28 | -0.11 | 9.86 | |||||||||||||||||||||||
qLW2.2 | M138-M139 | 5.24 | -0.10 | 9.74 | |||||||||||||||||||||||
qLW3.2 | M204-M205 | 3.47 | -0.15 | 7.86 | |||||||||||||||||||||||
qLW3.1 | M217-M218 | 10.41 | -0.23 | 21.53 | |||||||||||||||||||||||
qLW3.3 | M220-M221 | 6.21 | -0.21 | 16.81 | |||||||||||||||||||||||
qLW4.1 | M245-M246 | 3.04 | -0.16 | 5.40 | |||||||||||||||||||||||
qLW4.2 | M255-M256 | 4.31 | -0.14 | 13.34 | |||||||||||||||||||||||
qLW4.3 | M276-M277 | 3.14 | -0.10 | 7.07 | |||||||||||||||||||||||
qLW5 | M328-M329 | 10.89 | -0.18 | 22.75 | 6.25 | -0.14 | 20.13 | 8.54 | -0.17 | 21.5 | 8.92 | -0.17 | 25.51 | ||||||||||||||
qLW7 | M491-M492 | 4.11 | -0.12 | 10.67 | |||||||||||||||||||||||
qLW10.0 | M643-M644 | 3.58 | -0.12 | 6.44 | 4.42 | -0.15 | 10.21 | ||||||||||||||||||||
qGT1.1 | M89-M90 | 6.42 | -0.05 | 14.72 | |||||||||||||||||||||||
qGT1.2 | M90-M91 | 3.52 | -0.04 | 10.40 | |||||||||||||||||||||||
qGT4 | M260-M261 | 3.08 | -0.04 | 6.59 | |||||||||||||||||||||||
qGT7.1 | M488-M489 | 3.18 | 0.06 | 10.01 | |||||||||||||||||||||||
qGT7.2 | M483-M484 | 3.31 | 0.05 | 12.42 | |||||||||||||||||||||||
qGT8.1 | M540-M541 | 3.23 | -0.04 | 10.17 | |||||||||||||||||||||||
qGT8.2 | M537-M538 | 7.02 | -0.09 | 16.30 | |||||||||||||||||||||||
qGT8.3 | M539-M540 | 4.89 | -0.04 | 15.12 | |||||||||||||||||||||||
qTGW2 | M153-M154 | 3.18 | 1.83 | 9.99 | |||||||||||||||||||||||
qTGW3 | M204-M205 | 4.90 | -2.66 | 12.58 | 3.11 | -2.16 | 9.67 | ||||||||||||||||||||
qTGW4.1 | M299-M300 | 3.29 | -1.51 | 7.96 | |||||||||||||||||||||||
qTGW4.2 | M308-M309 | 3.02 | -1.98 | 9.66 | |||||||||||||||||||||||
qTGW5.1 | M363-M364 | 13.76 | -10.14 | 11.55 | |||||||||||||||||||||||
qTGW5.2 | M374-M375 | 22.19 | 9.6 | 30.05 | |||||||||||||||||||||||
qTGW8.2 | M537-M538 | 3.29 | -2.38 | 10.36 | 4.00 | -2.47 | 12.68 | ||||||||||||||||||||
qTGW8.1 | M540-M541 | 4.47 | -1.69 | 11.37 | |||||||||||||||||||||||
qBRL1.1 | M61-M62 | 4.97 | -0.23 | 7.75 | |||||||||||||||||||||||
qBRL1.2 | M84-M85 | 3.08 | 0.13 | 4.62 | |||||||||||||||||||||||
qBRL2 | M123-M124 | 4.82 | -0.22 | 7.49 | |||||||||||||||||||||||
qBRL3.3 | M193-M194 | 5.86 | -0.18 | 9.30 | |||||||||||||||||||||||
qBRL3.1 | M204-M205 | 3.84 | -0.27 | 12.54 | |||||||||||||||||||||||
QTL | 区间 Interval | E1 | E2 | E3 | E4 | ||||||||||||||||||||||
LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | ||||||||||||||||
qBRL3.2 | M217-M218 | 12.22 | -0.38 | 30.96 | 9.17 | -0.28 | 15.59 | ||||||||||||||||||||
qBRL4.1 | M245-M246 | 3.94 | -0.28 | 8.40 | 4.70 | -0.27 | 7.29 | 4.02 | -0.36 | 10.74 | |||||||||||||||||
qBRL5.1 | M336-M337 | 4.18 | -0.20 | 11.41 | |||||||||||||||||||||||
qBRL8.1 | M537-M538 | 4.07 | -0.20 | 6.23 | |||||||||||||||||||||||
qBRL8.2 | M549-M550 | 3.66 | -0.24 | 9.72 | |||||||||||||||||||||||
qBRW2 | M143-M144 | 6.55 | 0.06 | 12.17 | |||||||||||||||||||||||
qBRW4 | M228-M229 | 3.44 | -0.08 | 10.98 | |||||||||||||||||||||||
qBRW5.2 | M328-M329 | 16.82 | 0.11 | 38.80 | |||||||||||||||||||||||
qBRW5.1 | M324-M325 | 5.62 | 0.10 | 19.85 | 15.31 | 0.12 | 43.56 | ||||||||||||||||||||
qBRW7 | M488-M489 | 4.60 | 0.10 | 10.46 | 5.16 | 0.16 | 17.04 | ||||||||||||||||||||
qBRW8.2 | M537-M538 | 4.39 | -0.07 | 7.82 | |||||||||||||||||||||||
qBRLW2.2 | M136-M137 | 3.31 | -0.08 | 10.38 | |||||||||||||||||||||||
qBRLW2.1 | M116-M117 | 3.33 | -0.08 | 6.32 | |||||||||||||||||||||||
qBRLW3.1 | M217-M218 | 12.09 | -0.19 | 27.46 | |||||||||||||||||||||||
qBRLW3.2 | M220-M221 | 6.22 | -0.18 | 20.65 | |||||||||||||||||||||||
qBRLW5 | M324-M325 | 3.22 | -0.12 | 11.89 | 9.64 | -0.14 | 20.80 | ||||||||||||||||||||
qBRLW7.1 | M489-M490 | 5.23 | -0.19 | 19.91 | |||||||||||||||||||||||
qBRLW7.2 | M488-M489 | 4.71 | -0.19 | 15.17 | |||||||||||||||||||||||
qBRT1 | M66-M67 | 5.70 | -0.05 | 12.94 | |||||||||||||||||||||||
qBRT2 | M170-M171 | 4.45 | -0.04 | 10.26 | |||||||||||||||||||||||
qBRT7.2 | M485-M486 | 5.09 | 0.05 | 11.41 | 4.33 | 0.06 | 13.69 | ||||||||||||||||||||
qBRT7.1 | M488-M489 | 4.59 | 0.07 | 16.39 | |||||||||||||||||||||||
qBRT8 | M544-M545 | 4.98 | -0.05 | 11.25 | |||||||||||||||||||||||
qBRTW1 | M66-M67 | 3.84 | -1.35 | 9.09 | |||||||||||||||||||||||
qBRTW2 | M153-M154 | 3.02 | 1.07 | 7.01 | |||||||||||||||||||||||
qBRTW3 | M204-M205 | 4.70 | -1.41 | 9.58 | 3.16 | -1.54 | 9.90 | ||||||||||||||||||||
qBRTW5.1 | M324-M325 | 6.81 | 1.24 | 14.48 | |||||||||||||||||||||||
qBRTW8.2 | M537-M538 | 5.36 | -1.86 | 13.03 | |||||||||||||||||||||||
qBRTW8.1 | M539-M540 | 4.27 | -1.17 | 8.79 | 4.77 | -1.38 | 15.64 | ||||||||||||||||||||
qBRTW11.1 | M652-M653 | 4.84 | -0.72 | 9.89 |
Table 2 QTL of rice grain shape and grain weight identified by CSSL population.
QTL | 区间 Interval | E1 | E2 | E3 | E4 | ||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | ||||||||||||||||
qGL2 | M123-M124 | 3.32 | -0.29 | 7.63 | |||||||||||||||||||||||
qGL3.1 | M204-M205 | 6.61 | -0.48 | 17.64 | |||||||||||||||||||||||
qGL3.2 | M217-M218 | 3.40 | -0.30 | 11.16 | |||||||||||||||||||||||
qGL3.3 | 6.90 | -0.43 | 17.02 | ||||||||||||||||||||||||
qGL4.1 | M245-M246 | 3.01 | -0.38 | 7.48 | 3.04 | -0.34 | 6.94 | ||||||||||||||||||||
qGL4.2 | M255-M256 | 3.90 | -0.29 | 14.13 | |||||||||||||||||||||||
qGW1 | M9-M10 | 3.25 | -0.07 | 5.10 | |||||||||||||||||||||||
qGW2.1 | M142-M143 | 10.44 | 0.10 | 15.05 | |||||||||||||||||||||||
qGW2.2 | M157-M158 | 4.56 | 0.13 | 9.17 | |||||||||||||||||||||||
qGW5.2 | M334-M335 | 8.27 | 0.10 | 18.13 | |||||||||||||||||||||||
qGW5.1 | M328-M329 | 13.14 | 0.14 | 35.23 | 21.04 | 0.16 | 38.10 | 12.77 | 0.12 | 30.29 | 22.19 | 0.20 | 51.01 | ||||||||||||||
qGW7 | M491-M492 | 8.05 | 0.11 | 19.41 | |||||||||||||||||||||||
qGW8 | M537-M538 | 4.64 | -0.10 | 9.28 | |||||||||||||||||||||||
qGW9 | M553-M554 | 8.72 | -0.11 | 12.15 | |||||||||||||||||||||||
qGW10 | M639-M640 | 3.89 | 0.10 | 6.24 | |||||||||||||||||||||||
qLW2.1 | M136-M137 | 4.28 | -0.11 | 9.86 | |||||||||||||||||||||||
qLW2.2 | M138-M139 | 5.24 | -0.10 | 9.74 | |||||||||||||||||||||||
qLW3.2 | M204-M205 | 3.47 | -0.15 | 7.86 | |||||||||||||||||||||||
qLW3.1 | M217-M218 | 10.41 | -0.23 | 21.53 | |||||||||||||||||||||||
qLW3.3 | M220-M221 | 6.21 | -0.21 | 16.81 | |||||||||||||||||||||||
qLW4.1 | M245-M246 | 3.04 | -0.16 | 5.40 | |||||||||||||||||||||||
qLW4.2 | M255-M256 | 4.31 | -0.14 | 13.34 | |||||||||||||||||||||||
qLW4.3 | M276-M277 | 3.14 | -0.10 | 7.07 | |||||||||||||||||||||||
qLW5 | M328-M329 | 10.89 | -0.18 | 22.75 | 6.25 | -0.14 | 20.13 | 8.54 | -0.17 | 21.5 | 8.92 | -0.17 | 25.51 | ||||||||||||||
qLW7 | M491-M492 | 4.11 | -0.12 | 10.67 | |||||||||||||||||||||||
qLW10.0 | M643-M644 | 3.58 | -0.12 | 6.44 | 4.42 | -0.15 | 10.21 | ||||||||||||||||||||
qGT1.1 | M89-M90 | 6.42 | -0.05 | 14.72 | |||||||||||||||||||||||
qGT1.2 | M90-M91 | 3.52 | -0.04 | 10.40 | |||||||||||||||||||||||
qGT4 | M260-M261 | 3.08 | -0.04 | 6.59 | |||||||||||||||||||||||
qGT7.1 | M488-M489 | 3.18 | 0.06 | 10.01 | |||||||||||||||||||||||
qGT7.2 | M483-M484 | 3.31 | 0.05 | 12.42 | |||||||||||||||||||||||
qGT8.1 | M540-M541 | 3.23 | -0.04 | 10.17 | |||||||||||||||||||||||
qGT8.2 | M537-M538 | 7.02 | -0.09 | 16.30 | |||||||||||||||||||||||
qGT8.3 | M539-M540 | 4.89 | -0.04 | 15.12 | |||||||||||||||||||||||
qTGW2 | M153-M154 | 3.18 | 1.83 | 9.99 | |||||||||||||||||||||||
qTGW3 | M204-M205 | 4.90 | -2.66 | 12.58 | 3.11 | -2.16 | 9.67 | ||||||||||||||||||||
qTGW4.1 | M299-M300 | 3.29 | -1.51 | 7.96 | |||||||||||||||||||||||
qTGW4.2 | M308-M309 | 3.02 | -1.98 | 9.66 | |||||||||||||||||||||||
qTGW5.1 | M363-M364 | 13.76 | -10.14 | 11.55 | |||||||||||||||||||||||
qTGW5.2 | M374-M375 | 22.19 | 9.6 | 30.05 | |||||||||||||||||||||||
qTGW8.2 | M537-M538 | 3.29 | -2.38 | 10.36 | 4.00 | -2.47 | 12.68 | ||||||||||||||||||||
qTGW8.1 | M540-M541 | 4.47 | -1.69 | 11.37 | |||||||||||||||||||||||
qBRL1.1 | M61-M62 | 4.97 | -0.23 | 7.75 | |||||||||||||||||||||||
qBRL1.2 | M84-M85 | 3.08 | 0.13 | 4.62 | |||||||||||||||||||||||
qBRL2 | M123-M124 | 4.82 | -0.22 | 7.49 | |||||||||||||||||||||||
qBRL3.3 | M193-M194 | 5.86 | -0.18 | 9.30 | |||||||||||||||||||||||
qBRL3.1 | M204-M205 | 3.84 | -0.27 | 12.54 | |||||||||||||||||||||||
QTL | 区间 Interval | E1 | E2 | E3 | E4 | ||||||||||||||||||||||
LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | LOD | 加性效应Additive | 贡献率PVE/% | ||||||||||||||||
qBRL3.2 | M217-M218 | 12.22 | -0.38 | 30.96 | 9.17 | -0.28 | 15.59 | ||||||||||||||||||||
qBRL4.1 | M245-M246 | 3.94 | -0.28 | 8.40 | 4.70 | -0.27 | 7.29 | 4.02 | -0.36 | 10.74 | |||||||||||||||||
qBRL5.1 | M336-M337 | 4.18 | -0.20 | 11.41 | |||||||||||||||||||||||
qBRL8.1 | M537-M538 | 4.07 | -0.20 | 6.23 | |||||||||||||||||||||||
qBRL8.2 | M549-M550 | 3.66 | -0.24 | 9.72 | |||||||||||||||||||||||
qBRW2 | M143-M144 | 6.55 | 0.06 | 12.17 | |||||||||||||||||||||||
qBRW4 | M228-M229 | 3.44 | -0.08 | 10.98 | |||||||||||||||||||||||
qBRW5.2 | M328-M329 | 16.82 | 0.11 | 38.80 | |||||||||||||||||||||||
qBRW5.1 | M324-M325 | 5.62 | 0.10 | 19.85 | 15.31 | 0.12 | 43.56 | ||||||||||||||||||||
qBRW7 | M488-M489 | 4.60 | 0.10 | 10.46 | 5.16 | 0.16 | 17.04 | ||||||||||||||||||||
qBRW8.2 | M537-M538 | 4.39 | -0.07 | 7.82 | |||||||||||||||||||||||
qBRLW2.2 | M136-M137 | 3.31 | -0.08 | 10.38 | |||||||||||||||||||||||
qBRLW2.1 | M116-M117 | 3.33 | -0.08 | 6.32 | |||||||||||||||||||||||
qBRLW3.1 | M217-M218 | 12.09 | -0.19 | 27.46 | |||||||||||||||||||||||
qBRLW3.2 | M220-M221 | 6.22 | -0.18 | 20.65 | |||||||||||||||||||||||
qBRLW5 | M324-M325 | 3.22 | -0.12 | 11.89 | 9.64 | -0.14 | 20.80 | ||||||||||||||||||||
qBRLW7.1 | M489-M490 | 5.23 | -0.19 | 19.91 | |||||||||||||||||||||||
qBRLW7.2 | M488-M489 | 4.71 | -0.19 | 15.17 | |||||||||||||||||||||||
qBRT1 | M66-M67 | 5.70 | -0.05 | 12.94 | |||||||||||||||||||||||
qBRT2 | M170-M171 | 4.45 | -0.04 | 10.26 | |||||||||||||||||||||||
qBRT7.2 | M485-M486 | 5.09 | 0.05 | 11.41 | 4.33 | 0.06 | 13.69 | ||||||||||||||||||||
qBRT7.1 | M488-M489 | 4.59 | 0.07 | 16.39 | |||||||||||||||||||||||
qBRT8 | M544-M545 | 4.98 | -0.05 | 11.25 | |||||||||||||||||||||||
qBRTW1 | M66-M67 | 3.84 | -1.35 | 9.09 | |||||||||||||||||||||||
qBRTW2 | M153-M154 | 3.02 | 1.07 | 7.01 | |||||||||||||||||||||||
qBRTW3 | M204-M205 | 4.70 | -1.41 | 9.58 | 3.16 | -1.54 | 9.90 | ||||||||||||||||||||
qBRTW5.1 | M324-M325 | 6.81 | 1.24 | 14.48 | |||||||||||||||||||||||
qBRTW8.2 | M537-M538 | 5.36 | -1.86 | 13.03 | |||||||||||||||||||||||
qBRTW8.1 | M539-M540 | 4.27 | -1.17 | 8.79 | 4.77 | -1.38 | 15.64 | ||||||||||||||||||||
qBRTW11.1 | M652-M653 | 4.84 | -0.72 | 9.89 |
染色体 Chr. | 区间 Marker interval | 多效性QTL Pleiotropic QTL | 已克隆基因 Cloned gene | 参考文献 Reference |
---|---|---|---|---|
1 | M66-M67 | qBRTW1, qBRT1 | PGL2 | Seonghoe et al. [ |
2 | M123-M124 | qGL2, qBRL2 | GW2 | Song et al. [ |
M136-M137 | qLW2.2, qBRLW2.2 | GS2 | Hu et al. [ | |
M153-M154 | qTGW2, qBRTW2 | |||
3 | M204-M205 | qGL3.1, qLW3.2, qTGW3, qBRTW3, qBRL3.1 | GS3 | Liu et al. [ |
M217-M218 | qGL3.2, qLW3.1, qBRL3.2, qBRLW3.1 | |||
M220-M221 | qGL3.3, qLW3.3, qBRLW3.2 | PGL1 | Dany H et al. [ | |
4 | M245-M246 | qGL4.1, qLW4.1, qBRL4.1 | GL4 | Wu et al. [ |
M255-M256 | qGL4.2, qLW4.2 | |||
5 | M328-M329 | qGW5.1, qLW5, qBRW5.2 | gw5 | Wan et al. [ |
M324-M325 | qBRW5.1, qBRLW5, qBRTW5.1 | |||
7 | M491-M492 | qGW7, qLW7 | GW7 | Wang et al. [ |
M488-M489 | qGT7.1, qBRW7, qBRLW7.2, qBRT7.1 | |||
8 | M537-M538 | qGW8, qGT8.2, qBRL8.1, qBRW8.2, qTGW8.2, qBRTW8.2 | GW8 | Wang et al. [ |
M539-M540 | qBRTW8.1, qGT8.3 | |||
M540-M541 | qTGW8.1, qGT8.1 |
Table 3 Pleiotropic regional analysis of QTLs for grain shape and grain weight.
染色体 Chr. | 区间 Marker interval | 多效性QTL Pleiotropic QTL | 已克隆基因 Cloned gene | 参考文献 Reference |
---|---|---|---|---|
1 | M66-M67 | qBRTW1, qBRT1 | PGL2 | Seonghoe et al. [ |
2 | M123-M124 | qGL2, qBRL2 | GW2 | Song et al. [ |
M136-M137 | qLW2.2, qBRLW2.2 | GS2 | Hu et al. [ | |
M153-M154 | qTGW2, qBRTW2 | |||
3 | M204-M205 | qGL3.1, qLW3.2, qTGW3, qBRTW3, qBRL3.1 | GS3 | Liu et al. [ |
M217-M218 | qGL3.2, qLW3.1, qBRL3.2, qBRLW3.1 | |||
M220-M221 | qGL3.3, qLW3.3, qBRLW3.2 | PGL1 | Dany H et al. [ | |
4 | M245-M246 | qGL4.1, qLW4.1, qBRL4.1 | GL4 | Wu et al. [ |
M255-M256 | qGL4.2, qLW4.2 | |||
5 | M328-M329 | qGW5.1, qLW5, qBRW5.2 | gw5 | Wan et al. [ |
M324-M325 | qBRW5.1, qBRLW5, qBRTW5.1 | |||
7 | M491-M492 | qGW7, qLW7 | GW7 | Wang et al. [ |
M488-M489 | qGT7.1, qBRW7, qBRLW7.2, qBRT7.1 | |||
8 | M537-M538 | qGW8, qGT8.2, qBRL8.1, qBRW8.2, qTGW8.2, qBRTW8.2 | GW8 | Wang et al. [ |
M539-M540 | qBRTW8.1, qGT8.3 | |||
M540-M541 | qTGW8.1, qGT8.1 |
[1] | Bai X, Luo L, Yan W, Kovi M R, Zhan W, Xing Y. Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7[J]. BMC Genetics, 2010,11(1):16. |
[2] | Xing Y, Zhang Q. Genetic and molecular bases of rice yield[J]. Annual Review of Plant Biology, 2010,61(1):421-442. |
[3] | 袁隆平. 中国的杂交水稻[J]. 中国水稻科学, 1986,1(1):18. |
Yuan L P. Hybrid rice in China[J]. Chinese Journal of Rice Science, 1986,1(1):8-18. (in Chinese with English abstract) | |
[4] | 康雪蒙, 马梦影, 巩文靓, 段海燕. 水稻粒型基因研究进展及应用[J]. 农学学报, 2020,10(12):21-25. |
Kang X M, Ma M Y, Gong W J, Duan H Y. Rice grain shape genes: Research progress and application[J]. Journal of Agriculture, 2020,10(12):21-25. (in Chinese with English abstract) | |
[5] | Huang R Y, Jiang L R, Zheng J S, Wang T S, Wang H C, Huang Y M, Hong Z L. Genetic bases of rice grain shape: so many genes, so little known[J]. Trends in Plant Science, 2013,18(4):218-226. |
[6] | 张波, 裴瑞琴, 杨维丰, 朱海涛, 刘桂富, 张桂权, 王少奎. 利用单片段代换系鉴定巴西陆稻IAPAR9中的水稻粒型基因[J]. 作物学报, 2021,47(1):1472-1480. |
Zhang B, Pei R Q, Yang W F, Zhu H T, Liu G F, Zhang G Q, Wang S K. Mapping and identification QTL controlling grain size in rice (Oryza sativa L.) by using single segment substitution lines derived from IAPAR9[J]. Acta Agronomica Sinica, 2021,47(1):1472-1480. (in Chinese with English abstract) | |
[7] | 孙滨, 占小登, 林泽川, 高志强, 于萍, 刘群恩, 沈希宏, 张迎信, 陈代波. 水稻粒形和粒重性状的相关性分析及QTL定位[J]. 分子植物育种, 2015,13(12):2663-2672. |
Sun B, Zhan X D, Lin Z C, Gao Z Q, Yu P, Liu Q E, Shen X H, Zhang Y X, Chen D B. Correlation analysis and QTL mapping of grain shape and grain weight in rice[J]. Molecular Plant Breeding, 2015,13(12):2663-2672. (in Chinese with English abstract) | |
[8] | 郑跃滨, 李智, 赵海燕, 朱光枫, 廖芷依, 竺正航, 王兰. 水稻粒长QTL定位与主效基因的遗传分析[J]. 西北植物学报, 2020,40(4):598-604. |
Zheng Y B, Li Z, Zhao H Y, Zhu G F, Liao Z Y, Zhu Z H, Wang L. Mapping quantitative trait loci associated with grain length and genetic analysis of major quantitative loci in rice[J]. Acta Botanica Boreali-Occidentalia Sinica, 2020,40(4):598-604. (in Chinese with English abstract) | |
[9] | 姚国新, 李金杰, 张强, 胡广隆, 陈超, 汤波, 张洪亮, 李自超. 利用4个姊妹近等基因系群体定位水稻粒重和粒形QTL[J]. 作物学报, 2010,36(8):1310-1317. |
Yao G X, Li J J, Zhang Q, Hu G L, Chen C, Shang B, Zhang H L, Li Z C. Mapping QTL for grain weight and shape using four sisters near isogenic lines in rice (Oryza sativa L.)[J]. Acta Agronomica Sinica, 2010,36(8):1310-1317. (in Chinese with English abstract) | |
[10] | 谭耀鹏, 李兰芝, 李平, 王玲霞, 胡中立. 利用DH群体定位水稻谷粒外观性状的QTL[J]. 分子植物育种, 2005,3(3):314-322. |
Tan Y P, Li L Z, Li P, Wang L X, Hu Z L. Quantitative trait loci for grain appearance traits of rice using a doubled haploid population[J]. Molecular Plant Breeding, 2005,3(3):314-322. (in Chinese with English abstract) | |
[11] | 康艺维, 陈玉宇, 张迎信. 水稻粒型基因克隆研究进展及育种应用展望[J]. 中国水稻科学, 2020,34(6):479-490. |
Kang Y W, Chen Y Y, Zhang Y X. Research progress and breeding prospects of grain size associated genes in rice[J]. Chinese Journal of Rice Science, 2020,34(6):479-490. (in Chinese with English abstract) | |
[12] | Yan S, Zou G, Li S, Wang H, Liu H, Zhai G, Guo P, Song H, Yan C, Tao Y. Seed size is determined by the combinations of the genes controlling different seed characteristics in rice[J]. Theoretical and Applied Genetics, 2011,123(7):1173-1181. |
[13] | Liu Q, Han R, Wu K, Zhang J, Ye Y, Wang S, Chen J, Pan Y, Li Q, Xu X, Zhou J, Tao D, Wu Y, Fu X. G-protein βγ subunits determine grain size through interaction with MADS-domain transcription factors in rice[J]. Nature Communications, 2018,9(1):852. |
[14] | Ishimaru K, Hirotsu N, Madoka Y, Murakami N, Hara N, Onodera H, Kashiwagi T, Ujiie K, Shimizu B I, Onishi A, Miyagawa H, Katoh E. Loss of function of the IAA-glucose hydrolase gene TGW6 enhances rice grain weight and increases yield[J]. Nature Genetics, 2013,45(6):707-711. |
[15] | Song X J, Kuroha T, Ayano M, Ashikari M. Rare allele of a previously unidentified histone H4 acetyltransferase enhances grain weight, yield, and plant biomass in rice[J]. Proceedings of the National Academy of Sciences of the United States of America, 2015,112(1):76. |
[16] | Huang K, Wang D, Duan P, Zhang B, Xu R, Li N, Li Y. WIDE AND THICK GRAIN 1, which encodes an otubain- like protease with deubiquitination activity, influences grain size and shape in rice. Plant Journal, 2017,91(5):849-860. |
[17] | Wang Y. Copy number variation at the GL7 locus contributes to grain size diversity in rice. Nature Genetics, 2015,47(8):944-948. |
[18] | Wan X Y, Wan J M, Weng J F, Jiang L, Bi J C, Wang C M, Zhai H Q. Stability of QTL for rice grain dimension and endosperm chalkiness characteristics across eight environments. Theoretical and Applied Genetics, 2005,110(7):1334-1346. |
[19] | Wu G L, Deng H D, Yu M X, Cai Y C, Zhou D H, Tan J A, Yu J F, Luo X, Tong S, Wang P, Zhang X Y, Li C J, Li C J, Wang Y N, Cheng Q, He H H, Bian J M. Genetic analysis of rice seed recovery under low-temperature conditions using a new CSSL population with a high-density genetic map in rice. Molecular Breeding, 2020,40(12):109. |
[20] | McCouch S R. Gene nomenclature system for rice. Rice, 2008,1(1):72-84. |
[21] | Jang S, An G, Li H Y. Rice leaf angle and grain size are affected by the OsBUL1 transcriptional activator complex. Plant Physiology, 2017,173(1):688-702. |
[22] | Hu J, Wang Y, Fang Y, Zeng L, Xu J, Yu H, Shi Z, Pan J, Zhang D, Kang S, Zhu L, Dong G, Guo L, Zeng D, Zhang G, Xie L, Xiong G, Li J, Qian Q. A rare allele of GS2 enhances grain size and grain yield in rice. Molecular Plant, 2015,8(10):1455-1465. |
[23] | Heang D, Sassa H. Antagonistic actions of HLH/bHLH proteins are involved in grain length and weight in rice. PLoS One, 2012,7(2):e31325. |
[24] | Wu W, Liu X Y, Wang M H, Meyer R S, Ndjiondjop M N, Tan L B, Zhang J W, Wu J Z, Cai H W, Sun C Q, Wang X K, Wing R A, Zhu Z F. A single-nucleotide polymorphism causes smaller grain size and loss of seed shattering during African rice domestication. Nature Plants, 2017,3(6):17064. |
[25] | Wang S, Li S, Liu Q, Wu K, Zhang J, Wang S, Engineering I O, Wang Y, Chen X, Zhang Y, Gao C, Wang F, Huang H, Fu X. The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality[J]. Nature Genetics, 2015,47(8):949-954. |
[26] | Wang S, Wu K, Yuan Q, Liu X, Liu Z, Lin X, Zeng R, Zhu H, Dong G, Qian Q, Zhang G, Fu X. Control of grain size, shape and quality by OsSPL16 in rice[J]. Nature Genetics, 2012,44(8):950-954. |
[27] | 王小雷, 李炜星, 曾博虹, 孙晓棠, 欧阳林娟, 陈小荣, 贺浩华, 朱昌兰. 基于染色体片段置换系对水稻粒形及千粒重QTL检测与稳定性分析[J]. 作物学报, 2020,46(10):1517-1525. |
Wang X L, Li H X, Zeng B H, Sun X T, OuYang L J, Chen X R, He H H, Zhu C L. QTL detection and stability analysis of rice grain shape and thousand-grain weight based on chromosome segment substitution lines[J]. Acta Agronomica Sinica, 2020,46(10):1517-1525. (in Chinese with English abstract) | |
[28] | Xia D, Zhou H, Liu R. GL3.3, a novel QTL encoding a GSK3/SHAGGY-like kinase, epistatically interacts with GS3 to form extra-long grains in rice[J]. Molecular Plant, 2018,11(5):754-756. |
[29] | Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein[J]. Theoretical & Applied Genetics, 2006,112(6):1164-1171. |
[30] | Ma X, Cheng Z, Qin R, Qiu Y, Heng Y, Yang H, Ren Y, Wang X, Bi J, Ma X, Zhang X, Wang J, Lei C, Guo X, Wang J, Wu F, Jiang L, Wang H, Wan J. OsARG encodes an arginase that plays critical roles in panicle development and grain production in rice[J]. Plant Journal, 2013,73(2):190-200. |
[31] | Kesavan M, Song J T, Seo H S. Seed size: A priority trait in cereal crops[J]. Physiologia Plantarum, 2013,147(2):113-120. |
[32] | Xu F, Fang J, Ou S, Gao S, Zhang F, Du L, Xiao Y, Wang H, Sun X, Chu J, Wang G, Chu C. Variations in CYP78A13 coding region influence grain size and yield in rice[J]. Plant Cell & Environment, 2015,38(4):800-811. |
[33] | Kang Y J, Shim K C, Lee H S, Jeon Y A, Kim S H, Kang J W, Yun Y T, Park I K, Ahn S N. Fine mapping and candidate gene analysis of the quantitative trait locus gw8.1 associated with grain length in rice[J]. Genes & Genomics, 2018,40(4):389-397. |
[34] | Wang Z, Chen J Y, Zhu Y J. Validation of qGS10, a quantitative trait locus for grain size on the long arm of chromosome 10 in rice(Oryza sativa L.)[J]. Journal of Integrative Agriculture, 2017,16(1):16-26. |
[1] | GUO Zhan, ZHANG Yunbo. Research Progress in Physiological,Biochemical Responses of Rice to Drought Stress and Its Molecular Regulation [J]. Chinese Journal OF Rice Science, 2024, 38(4): 335-349. |
[2] | WEI Huanhe, MA Weiyi, ZUO Boyuan, WANG Lulu, ZHU Wang, GENG Xiaoyu, ZHANG Xiang, MENG Tianyao, CHEN Yinglong, GAO Pinglei, XU Ke, HUO Zhongyang, DAI Qigen. Research Progress in the Effect of Salinity, Drought, and Their Combined Stresses on Rice Yield and Quality Formation [J]. Chinese Journal OF Rice Science, 2024, 38(4): 350-363. |
[3] | XU Danjie, LIN Qiaoxia, LI Zhengkang, ZHUANG Xiaoqian, LING Yu, LAI Meiling, CHEN Xiaoting, LU Guodong. OsOPR10 Positively Regulates Rice Blast and Bacterial Blight Resistance [J]. Chinese Journal OF Rice Science, 2024, 38(4): 364-374. |
[4] | CHEN Mingliang, ZENG Xihua, SHEN Yumin, LUO Shiyou, HU Lanxiang, XIONG Wentao, XIONG Huanjin, WU Xiaoyan, XIAO Yeqing. Typing of Inter-subspecific Fertility Loci and Fertility Locus Pattern of indica-japonica Hybrid Rice [J]. Chinese Journal OF Rice Science, 2024, 38(4): 386-396. |
[5] | DING Zhengquan, PAN Yueyun, SHI Yang, HUANG Haixiang. Comprehensive Evaluation and Comparative Analysis of Jiahe Series Long-Grain japonica Rice with High Eating Quality Based on Gene Chip Technology [J]. Chinese Journal OF Rice Science, 2024, 38(4): 397-408. |
[6] | HOU Xiaoqin, WANG Ying, YU Bei, FU Weimeng, FENG Baohua, SHEN Yichao, XIE Hangjun, WANG Huanran, XU Yongqiang, WU Zhihai, WANG Jianjun, TAO Longxing, FU Guanfu. Mechanisms Behind the Role of Potassium Fulvic Acid in Enhancing Salt Tolerance in Rice Seedlings [J]. Chinese Journal OF Rice Science, 2024, 38(4): 409-421. |
[7] | LÜ Zhou, YI Binghuai, CHEN Pingping, ZHOU Wenxin, TANG Wenbang, YI Zhenxie. Effects of Nitrogen Application Rate and Transplanting Density on Yield Formation of Small Seed Hybrid Rice [J]. Chinese Journal OF Rice Science, 2024, 38(4): 422-436. |
[8] | HU Jijie, HU Zhihua, ZHANG Junhua, CAO Xiaochuang, JIN Qianyu, ZHANG Zhiyuan, ZHU Lianfeng. Effects of Rhizosphere Saturated Dissolved Oxygen on Photosynthetic and Growth Characteristics of Rice at Tillering Stage [J]. Chinese Journal OF Rice Science, 2024, 38(4): 437-446. |
[9] | WU Yue, LIANG Chengwei, ZHAO Chenfei, SUN Jian, MA Dianrong. Occurrence of Weedy Rice Disaster and Ecotype Evolution in Direct-Seeded Rice Fields [J]. Chinese Journal OF Rice Science, 2024, 38(4): 447-455. |
[10] | LIU Fuxiang, ZHEN Haoyang, PENG Huan, ZHENG Liuchun, PENG Deliang, WEN Yanhua. Investigation and Species Identification of Cyst Nematode Disease on Rice in Guangdong Province [J]. Chinese Journal OF Rice Science, 2024, 38(4): 456-461. |
[11] | CHEN Haotian, QIN Yuan, ZHONG Xiaohan, LIN Chenyu, QIN Jinghang, YANG Jianchang, ZHANG Weiyang. Research Progress on the Relationship Between Rice Root, Soil Properties and Methane Emissions in Paddy Fields [J]. Chinese Journal OF Rice Science, 2024, 38(3): 233-245. |
[12] | MIAO Jun, RAN Jinhui, XU Mengbin, BO Liubing, WANG Ping, LIANG Guohua, ZHOU Yong. Overexpression of RGG2, a Heterotrimeric G Protein γ Subunit-Encoding Gene, Improves Drought Tolerance in Rice [J]. Chinese Journal OF Rice Science, 2024, 38(3): 246-255. |
[13] | YIN Xiaoxiao, ZHANG Zhihan, YAN Xiulian, LIAO Rong, YANG Sijia, Beenish HASSAN, GUO Daiming, FAN Jing, ZHAO Zhixue, WANG Wenming. Signal Peptide Validation and Expression Analysis of Multiple Effectors from Ustilaginoidea virens [J]. Chinese Journal OF Rice Science, 2024, 38(3): 256-265. |
[14] | ZHU Yujing, GUI Jinxin, GONG Chengyun, LUO Xinyang, SHI Jubin, ZHANG Haiqing, HE Jiwai. QTL Mapping for Tiller Angle in Rice by Genome-wide Association Analysis [J]. Chinese Journal OF Rice Science, 2024, 38(3): 266-276. |
[15] | WEI Qianqian, WANG Yulei, KONG Haimin, XU Qingshan, YAN Yulian, PAN Lin, CHI Chunxin, KONG Yali, TIAN Wenhao, ZHU Lianfeng, CAO Xiaochuang, ZHANG Junhua, ZHU Chunqun. Mechanism of Hydrogen Sulfide, a Signaling Molecule Involved in Reducing the Inhibitory Effect of Aluminum Toxicity on Rice Growth Together with Sulfur Fertilizer [J]. Chinese Journal OF Rice Science, 2024, 38(3): 290-302. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||