欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2026, Vol. 52 ›› Issue (6): 1646-1657.doi: 10.3724/SP.J.1006.2026.55071

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

花生籽仁总超长链脂肪酸和7种脂肪酸组分的QTL定位

郑玉珍1,2(), 齐飞艳2,3, 孙子淇2,3, 刘华2, 秦利2, 石磊2, 王娟2, 汪蒙蒙2, 韩锁义2, 徐静2, 苗利娟2, 黄冰艳2, 董文召2, 郑峥2, 张新友1,2,3,*()   

  1. 1 沈阳农业大学农学院, 辽宁沈阳 110866
    2 河南省作物分子育种研究院 / 河南省农业科学院 / 河南省油料作物遗传改良重点实验室 / 黄淮海平原油料作物重点实验室(农业农村部), 河南郑州 450002
    3 神农种业实验室, 河南郑州 450002
  • 收稿日期:2025-11-20 接受日期:2026-03-16 出版日期:2026-06-12 网络出版日期:2026-03-27
  • 通讯作者: * 张新友, E-mail: haasxinyou@163.com
  • 作者简介:郑玉珍, E-mail: yuzhen1004@163.com
  • 基金资助:
    辽宁省粮食储藏种质创新专项(2023YYJH1/10200002);国家重点研发计划项目(2023YFD1202800);河南省科技项目(232102110234);财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-13);河南省现代农业产业技术体系(HARS-22-05-S);河南省农业科学院杰出青年科技基金(2024JQ06);河南省农业科学院自主创新项目(2025ZC13)

QTL mapping of total very long-chain fatty acids and seven fatty acid components in peanut seeds

Zheng Yu-Zhen1,2(), Qi Fei-Yan2,3, Sun Zi-Qi2,3, Liu Hua2, Qin Li2, Shi Lei2, Wang Juan2, Wang Meng-Meng2, Han Suo-Yi2, Xu Jing2, Miao Li-Juan2, Huang Bing-Yan2, Dong Wen-Zhao2, Zheng Zheng2, Zhang Xin-You1,2,3,*()   

  1. 1 College of Agronomy, Shenyang Agricultural University, Shenyang 110866, Liaoning, China
    2 Institute of Crop Molecular Breeding of Henan Province / Henan Academy of Agricultural Sciences / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs, Zhengzhou 450002, Henan, China
    3 The Shennong Laboratory, Zhengzhou 450002, Henan, China
  • Received:2025-11-20 Accepted:2026-03-16 Published:2026-06-12 Published online:2026-03-27
  • Contact: * Zhang Xin-You, E-mail: haasxinyou@163.com
  • Supported by:
    Liaoning Province Specialized Program for Grain Storage Germplasm Innovation(2023YYJH1/10200002);National Key Research and Development Program of China(2023YFD1202800);Science and Technology Project of Henan Province(232102110234);China Agriculture Research System of MOF and MARA(CARS-13);Henan Provincial Agriculture Research System, China(HARS-22-05-S);Distinguished Young Scholars from Henan Academy of Agricultural Sciences(2024JQ06);Independent Innovation Project of the Henan Academy of Agricultural Sciences(2025ZC13)

RichHTML

5

PDF

109

摘要：

花生油的品质主要由其脂肪酸组分决定, 因此改良花生的脂肪酸组分已成为花生育种的关键目标之一。本研究以冀花甜1号和PI478819为亲本构建的RIL群体为材料, 采用BSA-seq与传统定位相结合的方法, 对2个环境中花生籽仁的总超长链脂肪酸(TVLCFAs)和7种脂肪酸组分进行QTL定位, 基于检测到的主效QTL, 开发了相应的KASP标记, 并在RIL群体中进行验证及评价。共定位到7个与TVLCFAs和7种脂肪酸组分相关的QTL, 其中3个QTLs (qA06.1、qA08.1和qA16.1)与TVLCFAs和山嵛酸含量共定位且在2个环境中被重复检测到, 表型变异解释率为7.10%~32.85%。此外, 在2个环境中均检测到与油酸、亚油酸和棕榈酸含量相关的qA08.1, 表型变异解释率为13.73%~29.33%。针对3个主效QTLs开发的分子标记Tif2.A06.115805462、Tif2.A08.45741511和Tif2.A16.148167815能有效鉴别TVLCFAs、花生酸和山嵛酸含量存在差异的材料, 且Tif2.A08.45741511还与油酸、亚油酸和棕榈酸含量密切相关。本研究为低TVLCFAs和高油酸分子育种提供了宝贵的遗传资源, 并有助于加快低TVLCFAs和高油酸等优质专用型花生的分子标记辅助选择育种。

关键词: 花生, 脂肪酸组分, 总超长链脂肪酸, 集群分离体分析测序, QTL定位

Abstract:

Peanut oil quality is largely determined by its fatty acid composition; therefore, improving the fatty acid profile is a key objective in peanut breeding. Here, we used a recombinant inbred line (RIL) population derived from the cross Jihuatian 1 × PI478819 to map quantitative trait loci (QTLs) for total very long-chain fatty acids (TVLCFAs) and seven individual fatty acid components across two environments, using a combined strategy of BSA-seq and conventional linkage mapping. Based on the major QTLs, we developed kompetitive allele-specific PCR (KASP) markers and validated them in the RIL population. In total, seven QTLs associated with TVLCFAs and the seven fatty acid components were identified. Three QTLs (qA06.1, qA08.1, and qA16.1) were consistently detected in both environments and co-localized for TVLCFAs and behenic acid content, explaining 7.10%-32.85% of the phenotypic variance (PVE). Notably, qA08.1 was also associated with oleic acid, linoleic acid, and palmitic acid contents in both environments, with PVE values of 13.73%-29.33%. The markers Tif2.A06.115805462, Tif2.A08.45741511, and Tif2.A16.148167815, developed for these three major QTLs, effectively distinguished lines with contrasting levels of TVLCFAs, arachidic acid, and behenic acid. In addition, Tif2.A08.45741511 was closely associated with oleic acid, linoleic acid, and palmitic acid contents. Overall, these results provide useful genetic resources for breeding peanuts with low TVLCFAs and high oleic acid content and support accelerated marker-assisted selection for high-quality specialty peanut cultivars.

Key words: peanut, fatty acid composition, total very long-chain fatty acids, BSA-seq, QTL mapping

表1

亲本和RIL群体的脂肪酸含量表型变异和遗传分析"

性状
Trait		 亲本
Parents		 RIL群体
RIL population
PI478819 冀花甜1号
JHT1		 最小值
Min. (%)		 最大值
Max. (%)		 平均值
Mean (%)		 标准差
SD (%)		 偏度
Skew.		 峰度
Kurt.		 遗传力
H2
油酸Oleic acid 34.46* 29.50 22.61 42.79 31.09 3.05 0.56 0.75 0.81
亚油酸Linoleic acid 42.15** 48.85 36.97 53.55 46.51 2.71 -0.48 0.18 0.82
棕榈酸Palmitic acid 12.71* 13.79 11.71 14.88 13.51 0.51 -0.56 0.76 0.79
硬脂酸Stearic acid 5.04*** 3.21 2.23 5.68 4.34 0.59 -0.32 -0.37 0.90
花生酸Arachidic acid 1.71*** 1.14 0.93 1.83 1.48 0.17 -0.52 -0.59 0.91
山嵛酸Behenic acid 2.21*** 1.41 1.37 2.37 1.95 0.26 -0.72 -0.71 0.91
花生烯酸Arachidonic acid 0.36* 0.64 0.22 1.02 0.52 0.10 0.18 1.21 0.82
总超长链脂肪酸TVLCFAs 4.43*** 3.19 3.08 4.59 3.95 0.38 -0.68 -0.75 0.90

图1

RIL群体脂肪酸组分的频率分布及相关性分析 TVLCFAs: 总超长链脂肪酸含量; OAC: 油酸含量; LAC: 亚油酸含量; PAC: 棕榈酸含量; SAC: 硬脂酸含量; AAC: 花生酸含量; BAC: 山嵛酸含量; ARAC: 花生烯酸含量。星号表示存在显著相关性(t检验); *: 在P < 0.05水平上相关性显著; ***: 在P < 0.001水平上相关性显著。"

图2

极端混池家系的TVLCFAs含量 误差线表示标准差。TVLCFAs: 总超长链脂肪酸。"

表2

TVLCFAs含量候选QTL区域"

算法
Algorithm		 染色体
Chromosome		 起始
Start (bp)		 结束
End (bp)
Δ(SNP-index) A06 2,530,001 118,420,000
A08 2,510,001 51,529,986
A16 1 150,720,000
G-statistic A06 97,850,001 103,520,000
A06 105,210,001 118,420,000
A08 44,410,001 51,529,986
A16 146,720,001 150,690,000
Fisher-exact test A06 3,460,001 118,420,000
A08 4,290,001 7,290,000
A08 9,180,001 51,529,986
A16 73,370,001 150,720,000
Euclidean distance A06 104,860,001 118,420,000
A08 40,570,001 43,930,000
A08 44,410,001 51,529,986
A16 146,430,001 150,690,000

图3

连锁遗传图谱的构建 TVLCFAs: 总超长链脂肪酸。灰色框表示检测到的QTLs区间。LOD: 对数比值。"

表3

RIL群体TVLCFAs及脂肪酸组分的QTL定位"

性状
Trait		 QTL名称 QTL name 染色体
Chr.		 环境
Env.		 区间
Interval (cM)		 LOD值 LOD 表型变异解释率PVE (%) 加性效应Add
总超长链脂肪酸
TVLCFAs		 qA06.1 A06 2022YY 2.1-2.2 25.74 15.59 -0.14
2023YY 2.1-2.2 46.08 25.85 -0.18
qA08.1 A08 2022YY 5.9-6.8 20.30 12.04 -0.12
2023YY 5.9-6.8 17.32 8.23 -0.10
qA16.1 A16 2022YY 12.0-12.2 46.31 31.71 -0.20
2023YY 12.2-13.0 51.48 29.84 -0.19
油酸
Oleic acid		 qA08.1 A08 2022YY 1.9-5.9 17.77 16.30 -1.42
2023YY 1.9-5.9 26.14 24.89 -1.67
亚油酸
Linoleic acid		 qA08.1 A08 2022YY 1.9-5.9 23.57 23.23 1.32
2023YY 1.9-5.9 29.95 29.33 1.53
棕榈酸
Palmitic acid		 qA08.1 A08 2022YY 1.9-5.9 13.28 13.73 0.20
2023YY 1.9-5.9 20.51 19.86 0.26
硬脂酸
Stearic acid		 qA06.1 A06 2022YY 2.1-2.2 22.98 16.78 -0.26
2023YY 2.1-2.2 22.87 16.90 -0.24
qA08.2 A08 2022YY 0-1.9 6.12 4.09 -0.13
2023YY 0-1.9 4.46 2.97 -0.10
qA16.1 A16 2022YY 11.4-12.0 28.29 21.36 -0.29
2023YY 11.4-12.0 27.64 21.05 -0.26
花生酸
Arachidic acid		 qA06.1 A06 2022YY 2.1-2.2 24.08 20.51 -0.07
2023YY 2.1-2.2 32.81 22.57 -0.07
qA08.3 A08 2022YY 8.1-16.1 9.69 8.67 -0.05
qA08.1 A08 2023YY 1.9-5.9 6.10 3.62 -0.03
qA16.1 A16 2022YY 12.0-12.2 23.09 19.57 -0.07
2023YY 12.0-12.2 38.62 27.55 -0.08
山嵛酸
Behenic acid		 qA06.1 A06 2022YY 2.1-2.2 27.52 16.44 -0.10
2023YY 2.1-2.2 43.14 24.90 -0.12
qA08.1 A08 2022YY 5.9-6.8 18.14 10.37 -0.08
2023YY 5.9-6.8 14.50 7.10 -0.06
qA16.1 A16 2022YY 12.0-12.2 48.50 32.85 -0.14
2023YY 12.0-12.2 51.95 31.49 -0.13
花生烯酸
Arachidonic acid		 qA06.2 A06 2022YY 2.2-2.7 8.44 7.10 0.03
qA16.1 A16 2022YY 11.4-12.0 6.67 5.60 0.03
qA16.2 A16 2023YY 3.0-7.4 4.28 4.15 0.02

图4

KASP标记遗传效应的验证 A-C: 2个环境下(2022YY: 2022年原阳; 2023YY: 2023年原阳), RIL群体中与TVLCFAs、花生酸和山嵛酸含量QTL相关的KASP标记Tif2.A06.115805462、Tif2.A16.148167815和Tif2.A08.45741511的遗传效应的验证; D: 3个环境下(2019SQ: 2019年商丘; 2019WF: 2019年潍坊; 2019XX: 2019年新乡), 353份花生种质资源中与TVLCFAs含量QTL相关的KASP标记Tif2.A06.115805462、Tif2.A16.148167815和Tif2.A08.45741511的遗传效应的验证。TVLCFAs: 总超长链脂肪酸。不同小写字母表示经Tukey’s HSD检验在P < 0.05水平上差异显著。"

图5

油酸、亚油酸和棕榈酸含量QTL相关的KASP标记Tif2.A08.45741511的遗传效应验证 A: 2个环境下(2022YY: 2022年原阳; 2023YY: 2023年原阳), KASP标记Tif2.A08.45741511在RIL群体中的验证。B: 当FAD2A和FAD2B为野生型时, 在3个环境下(2019SQ: 2019年商丘; 2019WF: 2019年潍坊; 2019XX: 2019年新乡), KASP标记Tif2.A08.45741511在353份花生种质资源中的验证。C: 当FAD2A和FAD2B发生突变时, 在3个环境下(2019SQ: 2019年商丘; 2019WF: 2019年潍坊; 2019XX: 2019年新乡), KASP标记Tif2.A08.45741511在353份花生种质资源中的验证。***表示在P < 0.001水平上差异显著(t检验); ns表示不存在显著差异。"

[1] Chen H, Liu N, Huang L, et al. Identification of a major QTL for seed protein content in cultivated peanut (Arachis hypogaea L.) using QTL-seq. Plants, 2024, 13: 2368.
doi: 10.3390/plants13172368
[2] Wang M L, Khera P, Pandey M K, et al. Genetic mapping of QTLs controlling fatty acids provided insights into the genetic control of fatty acid synthesis pathway in peanut (Arachis hypogaea L.). PLoS One, 2015, 10: e0119454.
doi: 10.1371/journal.pone.0119454
[3] 刘华, 秦利, 张新友, 等. 基于花生种间杂交遗传群体的脂肪及脂肪酸含量的遗传模型分析. 中国油料作物学报, 2016, 38: 172-178.
doi: 10.7505/j.issn.1007-9084.2016.02.006
Liu H, Qin L, Zhang X Y, et al. Genetic models of peanut fat and fatty acid compositions based on interspecific RIL population. Chin J Oil Crop Sci, 2016, 38: 172-178 (in Chinese with English abstract).
doi: 10.7505/j.issn.1007-9084.2016.02.006
[4] Zhang X Y, Zhu S J, Han S Y. Inheritance of fat and fatty acid compositions in peanut (Arachis hypogaea L.). Agric Sci Technol, 2011, 12: 943-946.
[5] Du P X, Deng Q Q, Wang W Y, et al. scRNA-seq reveals the mechanism of fatty acid desaturase 2 mutation to repress leaf growth in peanut (Arachis hypogaea L.). Cells, 2023, 12: 2305.
doi: 10.3390/cells12182305
[6] Wang D, Wei Y R, Pagliassotti M J. Saturated fatty acids promote endoplasmic reticulum stress and liver injury in rats with hepatic steatosis. Endocrinology, 2006, 147: 943-951.
doi: 10.1210/en.2005-0570 pmid: 16269465
[7] Siri-Tarino P W, Sun Q, Hu F B, et al. Saturated fatty acids and risk of coronary heart disease: modulation by replacement nutrients. Curr Atheroscler Rep, 2010, 12: 384-390.
doi: 10.1007/s11883-010-0131-6 pmid: 20711693
[8] 郭建斌, 郭朋霞, 周小静, 等. 含野生种血缘花生品种ICGV 86699超长链脂肪酸QTL定位. 中国油料作物学报, 2023, 45: 947-953.
doi: 10.19802/j.issn.1007-9084.2022183
Guo J B, Guo P X, Zhou X J, et al. Identification of QTL related to very-long-chain fatty acids in peanut variety ICGV86699 with wild Arachis species consanguinity. Chin J Oil Crop Sci, 2023, 45: 947-953 (in Chinese with English abstract).
[9] Zhukov A, Popov V. Synthesis of C20-38 fatty acids in plant tissues. Int J Mol Sci, 2022, 23: 4731.
doi: 10.3390/ijms23094731
[10] Li W L, Yoo E, Lee S, et al. Seed weight and genotype influence the total oil content and fatty acid composition of peanut seeds. Foods, 2022, 11: 3463.
doi: 10.3390/foods11213463
[11] Sun Z Q, Qi F Y, Liu H, et al. QTL mapping of quality traits in peanut using whole-genome resequencing. Crop J, 2022, 10: 177-184.
doi: 10.1016/j.cj.2021.04.008
[12] Xue X M, Li J G, Wu J, et al. Identification of QTLs associated with very-long chain fatty acid (VLCFA) content via linkage mapping and BSA-seq in peanut. Theor Appl Genet, 2024, 137: 33.
doi: 10.1007/s00122-024-04547-7 pmid: 38285195
[13] Liu N, Chen H, Huai D X, et al. Four QTL clusters containing major and stable QTLs for saturated fatty acid contents in a dense genetic map of cultivated peanut (Arachis hypogaea L.). Mol Breed, 2019, 39: 23.
doi: 10.1007/s11032-019-0934-2
[14] Zhang B, Qi F X, Hu G, et al. BSA-seq-based identification of a major additive plant height QTL with an effect equivalent to that of Semi-dwarf 1 in a large rice F2 population. Crop J, 2021, 9: 1428-1437.
doi: 10.1016/j.cj.2020.11.011
[15] Zou C, Wang P X, Xu Y B. Bulked sample analysis in genetics, genomics and crop improvement. Plant Biotechnol J, 2016, 14: 1941-1955.
doi: 10.1111/pbi.12559 pmid: 26990124
[16] Yang H, Luo L, Li Y Y, et al. Fine mapping of qAHPS07 and functional studies of AhRUVBL2 controlling pod size in peanut (Arachis hypogaea L.). Plant Biotechnol J, 2023, 21: 1785-1798.
doi: 10.1111/pbi.v21.9
[17] Zhao K K, Wang L, Qiu D, et al. PSW1, an LRR receptor kinase, regulates pod size in peanut. Plant Biotechnol J, 2023, 21: 2113-2124.
doi: 10.1111/pbi.14117 pmid: 37431286
[18] Guo J J, Qi F Y, Qin L, et al. Mapping of a QTL associated with sucrose content in peanut kernels using BSA-seq. Front Genet, 2023, 13: 1089389.
doi: 10.3389/fgene.2022.1089389
[19] Li W T, Huang L, Liu N, et al. Identification of a stable major sucrose-related QTL and diagnostic marker for flavor improvement in peanut. Theor Appl Genet, 2023, 136: 78.
doi: 10.1007/s00122-023-04306-0 pmid: 36952020
[20] Huai D X, Zhi C Y, Wu J, et al. Unveiling the molecular regulatory mechanisms underlying sucrose accumulation and oil reduction in peanut kernels through genetic mapping and transcriptome analysis. Plant Physiol Biochem, 2024, 208: 108448.
doi: 10.1016/j.plaphy.2024.108448
[21] 王恩琪, 殷祥贞, 甄萍萍, 等. 基于BSA-seq技术定位花生种皮颜色基因. 花生学报, 2024, 53(3): 14-20.
Wang E Q, Yin X Z, Zhen P P, et al. Mapping of candidate testa color genes in peanuts based on BSA-seq. J Peanut Sci, 2024, 53(3): 14-20 (in Chinese with English abstract).
[22] Wu X H, Zhang M Y, Zheng Z, et al. Fine-mapping of a candidate gene for web blotch resistance in Arachis hypogaea L. J Integr Agric, 2024, 23: 1494-1506.
doi: 10.1016/j.jia.2023.10.036
[23] Yu B L, Liu N, Huang L, et al. Identification and application of a candidate gene AhAftr1 for aflatoxin production resistance in peanut seed (Arachis hypogaea L.). J Adv Res, 2024, 62: 15-26.
doi: 10.1016/j.jare.2023.09.014
[24] Zheng Z, Sun Z Q, Qi F Y, et al. Chloroplast and whole-genome sequencing shed light on the evolutionary history and phenotypic diversification of peanuts. Nat Genet, 2024, 56: 1975-1984.
doi: 10.1038/s41588-024-01876-7 pmid: 39138385
[25] Meng L, Li H H, Zhang L Y, et al. QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J, 2015, 3: 269-283.
doi: 10.1016/j.cj.2015.01.001
[26] Shi L, Zhao H H, Liu H, et al. Development of novel transgene-free high-oleic peanuts through CRISPR-Cas9-mediated gene editing of two AhFAD2 homologues. Plant Biotechnol J, 2025, 23: 4618-4620.
doi: 10.1111/pbi.v23.10
[27] 齐飞艳, 孙子淇, 黄冰艳, 等. 基于双列杂交的花生主要品质性状遗传效应分析. 中国油料作物学报, 2021, 43: 600-607.
Qi F Y, Sun Z Q, Huang B Y, et al. Genetic analysis of peanut quality traits based on a diallel cross design. Chin J Oil Crop Sci, 2021, 43: 600-607 (in Chinese with English abstract).
doi: 10.19802/j.issn.1007-9084.2020251
[28] Huai D X, Xue X M, Li Y, et al. Genome-wide identification of peanut KCS genes reveals that AhKCS1 and AhKCS28 are involved in regulating VLCFA contents in seeds. Front Plant Sci, 2020, 11: 406.
doi: 10.3389/fpls.2020.00406
[29] Hu P J, Zhang J N, Song Y H, et al. Identification of putative quantitative trait loci for improved seed oil quality in peanuts. Genes, 2024, 15: 75.
doi: 10.3390/genes15010075
[1] 金欣欣, 苏俏, 宋亚辉, 赵继玉, 杨永庆, 王瑾. 种植密度对半匍匐型和直立型花生物质生产及产量的影响[J]. 作物学报, 2026, 52(7): 2219-2230.
[2] 姜宇凡, 杨婉晴, 邓元凯, 蒋俊龙, 王若禹, 陈泠, 宁强, 刘易科, 朱展望, 何中虎, 郝元峰, 方正武, 丁富功. 基于小麦RIL群体籽粒相关性状的QTL定位与验证[J]. 作物学报, 2026, 52(7): 1997-2012.
[3] 陈檬瑶, 陈强, 史晓蕾, 索文英, 张孟臣, 杨春燕, 闫龙, 张锴, 孟庆民. 大豆籽粒油分含量QTL定位及KASP标记开发[J]. 作物学报, 2026, 52(7): 1985-1996.
[4] 吴英杰, 胡国庆, 刘风珍, 刘兆新, 董元杰, 万勇善. 膜下滴灌追氮配施氮肥增效剂对花生生长和氮素利用率的影响及其机理研究[J]. 作物学报, 2026, 52(7): 2144-2158.
[5] 陆一楚, 李振影, 买春海, 赵晓蕊, 王利祥. 夜间复合体关键基因AhLUX1正向调控花生结瘤的功能研究[J]. 作物学报, 2026, 52(6): 1658-1668.
[6] 谷春苗, 王润风, 黄璐, 刘浩, 鲁清, 李海芬, 李少雄, 何双呈, 洪彦彬, 陈小平, 谭斌, 余倩霞. 花生WOX基因家族的全基因组分析及不定芽再生候选基因的鉴定[J]. 作物学报, 2026, 52(5): 1326-1340.
[7] 刘长友, 王珅, 时会影, 沈颖超, 孙蕾, 王彦, 张志肖, 苏秋竹, 田静, 范保杰. 基于饭豆基因资源的小豆远缘杂交群体抗豆象QTL定位[J]. 作物学报, 2026, 52(3): 936-944.
[8] 于天一, 王春晓, 肖丽, 钟召迪, 王宣仓, 赵勇, 路亚, 吴月, 吴正锋. 不同结瘤特性花生品种氮素累积、产量及品质特性对氮肥用量的响应[J]. 作物学报, 2026, 52(3): 881-894.
[9] 张胜忠, 李国卫, 戈立江, 王菲菲, 胡晓辉, 苗华荣, 李燕, 钟文, 陈静. 花生机械脱壳损伤相关农艺指标筛选与QTL定位[J]. 作物学报, 2026, 52(2): 644-652.
[10] 王菲菲, 张胜忠, 杨贵华, 苗华荣, 胡晓辉, 张则林, 刘莎莎, 乔利仙, 单世华, 陈静. 331份花生种质苗期耐盐性综合评价和强耐盐种质鉴选[J]. 作物学报, 2026, 52(1): 279-294.
[11] 金欣欣, 宋亚辉, 苏俏, 杨永庆, 王瑾. 高产高油高油酸花生品种的生长发育及干物质生产特征[J]. 作物学报, 2026, 52(1): 191-201.
[12] 迟晓元, 刘庆, 张君, 赵旭红, 李美, 于天一, 潘丽娟, 许静, 姜骁, 殷祥贞, 马俊卿, 陈娜. 不同花生品种(系)耐盐碱性田间鉴定及各性状指标相关性研究[J]. 作物学报, 2026, 52(1): 85-98.
[13] 孙辰硕, 张月, 田泽锴, 晏立英, 康彦平, 陈玉宁, 王欣, 淮东欣, 王前前, 姜慧芳, 罗怀勇, 黄莉, 廖伯寿, 王志慧, 雷永. 花生种质果柄强度的遗传分化与主要影响因子分析[J]. 作物学报, 2026, 52(1): 118-130.
[14] 杨海洋, 吴林宣, 李博纹, 石翰峰, 袁禧龙, 刘金朝, 蔡海荣, 陈诗怡, 郭涛, 王慧. 基于QTL定位发现的OsWRI3调控水稻种子的落粒性[J]. 作物学报, 2025, 51(7): 1712-1724.
[15] 万书波, 张佳蕾, 高华鑫, 王才斌. 中国花生高产栽培研究进展与展望[J]. 作物学报, 2025, 51(7): 1703-1711.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] 李绍清, 李阳生, 吴福顺, 廖江林, 李达模. 水稻孕穗期在淹涝胁迫下施肥的优化选择及其作用机理[J]. 作物学报, 2002, 28(01): 115 -120 .
[2] 王兰珍;米国华;陈范骏;张福锁. 不同产量结构小麦品种对缺磷反应的分析[J]. 作物学报, 2003, 29(06): 867 -870 .
[3] 杨建昌;张亚洁;张建华;王志琴;朱庆森. 水分胁迫下水稻剑叶中多胺含量的变化及其与抗旱性的关系[J]. 作物学报, 2004, 30(11): 1069 -1075 .
[4] 袁美;杨光圣;傅廷栋;严红艳. 甘蓝型油菜生态型细胞质雄性不育两用系的研究Ⅲ. 8-8112AB的温度敏感性及其遗传[J]. 作物学报, 2003, 29(03): 330 -335 .
[5] 王永胜;王景;段静雅;王金发;刘良式. 水稻极度分蘖突变体的分离和遗传学初步研究[J]. 作物学报, 2002, 28(02): 235 -239 .
[6] 王丽燕;赵可夫. 玉米幼苗对盐胁迫的生理响应[J]. 作物学报, 2005, 31(02): 264 -268 .
[7] 田孟良;黄玉碧;谭功燮;刘永建;荣廷昭. 西南糯玉米地方品种waxy基因序列多态性分析[J]. 作物学报, 2008, 34(05): 729 -736 .
[8] 胡希远;李建平;宋喜芳. 空间统计分析在作物育种品系选择中的效果[J]. 作物学报, 2008, 34(03): 412 -417 .
[9] 王艳;邱立明;谢文娟;黄薇;叶锋;张富春;马纪. 昆虫抗冻蛋白基因转化烟草的抗寒性[J]. 作物学报, 2008, 34(03): 397 -402 .
[10] 郑希;吴建国;楼向阳;徐海明;石春海. 不同环境条件下稻米组氨酸和精氨酸的胚乳和母体植株QTL分析[J]. 作物学报, 2008, 34(03): 369 -375 .
京ICP备15008789号-2