花生籽仁蔗糖含量遗传模型分析

doi:10.3724/SP.J.1006.2024.34050

Abstract

Abstract:

Peanut (Arachis hypogaea L.) is one of the important cash crops in China, and about 40% of peanuts are used for food production. The sucrose content was positively correlated with the flavor and taste of peanut and its products, thus increasing sucrose content in kernel was significant for the promotion of peanut quality. In this study, two F_2:3 populations (NYBP×SYT5-1 and 19-1934×JHT1) were constructed to investigate the genetic model of sucrose content, and analyze the correlations between sucrose content with oil content, protein content, and other seed traits. The results showed that the sucrose contents of peanut kernel in two populations were continuously distributed and abundantly varied, and the transgressive segregation phenomenon were observed. In the two populations, sucrose content was significantly negatively correlated with oil content but significantly positively correlated with protein content. However, the correlations between sucrose content and kernel length, kernel width, and 100-kernel weight were inconsistent. The genetic analysis in two populations showed that the sucrose content in peanut kernel was mainly regulated by two pairs of main genes with the additive effect and dominant effect. There was the interaction between the two main genes, as well as the additive effect. This study initially reveals the genetic regulation of sucrose content in peanut kernels, which is beneficial for the breeding of edible peanut varieties and the cultivation of special varieties.

Key words: peanut, sucrose content, oil content, correlation analysis, genetic model

ZHI Chen-Yang, XUE Xiao-Meng, WU Jie, LI Xiong-Cai, WANG Jin, YAN Li-Ying, WANG Xin, CHEN Yu-Ning, KANG Yan-Ping, WANG Zhi-Hui, HUAI Dong-Xin, HONG Yan-Bin, JIANG Hui-Fang, LEI Yong, LIAO Bo-Shou. Analysis of genetic model of sucrose content in peanut[J].Acta Agronomica Sinica, 2024, 50(1): 32-41.

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References 42

[1]	张立伟, 王辽卫. 我国花生产业发展状况、存在问题及政策建议. 中国油脂, 2020, 45(11): 116-122.
	Zhang L W, Wang L W. Development status, problems and policy suggestions of peanut industry in China. China Oils Fats, 2020, 45(11): 116-122. (in Chinese with English abstract)
[2]	李双, 魏思雯, 吴凤凤. 植物活性肽的研究进展. 食品科技, 2022, 47(11): 85-92.
	Li S, Wei S W, Wu F F. Research progress of plant active peptides. Food Sci Technol, 2022, 47(11): 85-92. (in Chinese with English abstract)
[3]	尹欣幸, 杨伟波, 符海泉, 李东霞. 鲜食花生市场前景与研究现状分析. 热带农业科学, 2019, 39(6): 111-116.
	Yin X X, Yang W B, Fu H Q, Li D X. Market prospect and research progress of fresh-eating peanuts. Chin J Trop Agric, 2019, 39(6): 111-116. (in Chinese with English abstract)
[4]	唐月异, 王秀贞, 刘婷, 吴琪, 孙全喜, 王志伟, 张欣, 王传堂, 邵俊飞. 花生自然风干种子蔗糖含量近红外定量分析模型构建. 山东农业科学, 2018, 50(6): 159-162.
	Tang Y Y, Wang X Z, Liu T, Wu Q, Sun Q X, Wang Z W, Zhang X, Wang C T, Shao J F. A near infrared spectroscopy model for predicting sucrose content of sun-dried peanut seeds. Shandong Agric Sci, 2018, 50(6): 159-162 (in Chinese with English abstract).
[5]	聂燕. 花生种子中可溶性糖的组成. 花生科技, 1993, (3): 34-35.
	Nie Y. Composition of soluble sugars in peanut seeds. Peanut Sci Technol, 1993, (3): 34-35. (in Chinese with English abstract)
[6]	罗虹, 周桂元, 方洪标, 董桂军. 鲜食花生相关生化特性的研究. 花生学报, 2004, 33(4): 1-4.
	Luo H, Zhou G Y, Fang H B, Dong G J. Studies on biochemical characters relative to direct edible peanut. J Peanut Sci, 2004, 33(4): 1-4. (in Chinese with English abstract)
[7]	Bishi S K, Kumar L, Dagla M C, Mahatma M K, Rathnakumar A L, Lalwani H B, Misra J B. Characterization of Spanish peanut germplasm (Arachis hypogaea L.) for sugar profiling and oil quality. Ind Crop Prod, 2013, 51: 46-50. doi: 10.1016/j.indcrop.2013.08.050
[8]	Bishi S K, Lokesh K, Mahatma M K, Khatediya N, Chauhan S M, Misra J B. Quality traits of Indian peanut cultivars and their utility as nutritional and functional food. Food Chem, 2015, 167: 107-114. doi: 10.1016/j.foodchem.2014.06.076 pmid: 25148966
[9]	雷永, 王志慧, 淮东欣, 高华援, 晏立英, 李建国, 李威涛, 陈玉宁, 康彦平, 刘海龙, 王欣, 薛晓梦, 姜慧芳, 廖伯寿. 花生籽仁蔗糖含量近红外模型构建及在高糖品种培育中的应用. 作物学报, 2021, 47: 332-341. doi: 10.3724/SP.J.1006.2021.04106
	Lei Y, Wang Z H, Huai D X, Gao H Y, Yan L Y, Li J G, Li W T, Chen Y N, Kang Y P, Liu H Y, Wang X, Xue X M, Jiang H F, Liao B S. Development and application of a near infrared spectroscopy model for predicting high sucrose content of peanut seed. Acta Agron Sin, 2021, 47: 332-341. (in Chinese with English abstract) doi: 10.3724/SP.J.1006.2021.04106
[10]	胡美玲, 薛晓梦, 吴洁, 郅晨阳, 刘念, 陈小平, 王瑾, 晏立英, 王欣, 陈玉宁, 康彦平, 王志慧, 淮东欣, 姜慧芳, 雷永, 廖伯寿. 花生籽仁脂肪和蔗糖含量的胚、细胞质、母体遗传效应分析. 作物学报, 2022, 48: 2724-2732. doi: 10.3724/SP.J.1006.2022.14201
	Hu M L, Xue X M, Wu J, Zhi C Y, Liu N, Chen X P, Wang J, Yan L Y, Wang X, Chen Y N, Kang Y P, Wang Z H, Huai D X, Jiang H F, Lei Y, Liao B S. Genetic effect analysis of fat and sucrose content in peanut seed kernel from embryo, cytoplasm and mother. Acta Agron Sin, 2022, 48: 2724-2732. (in Chinese with English abstract)
[11]	秦利, 刘华, 张新友, 杜培, 代小冬, 孙子淇, 齐飞艳, 董文召, 黄冰艳, 韩锁义, 张忠信, 徐静. 花生籽仁蔗糖含量多世代联合群体主基因+多基因遗传模型分析. 中国油料作物学报, 2021, 43: 590-599.
	Qin L, Liu H, Zhang X Y, Du P, Dai X D, Sun Z Q, Qi F Y, Dong W Z, Huang B Y, Han S Y, Zhang Z X, Xu J. Genetic analysis of sugar content in peanut kernel via mixed major gene plus polygene inheritance model in multi-generation combined population. Chin J Oil Crop Sci, 2021, 43: 590-599. (in Chinese with English abstract) doi: 10.19802/j.issn.1007-9084.2020185
[12]	张晓军, 赵瑞华, 于晓娜, 司彤, 邹晓霞, 王月福, 王铭伦.花生籽仁可溶性糖含量相关位点的分子标记方法及其应用. 中国专利: 202010304681. 6, 2020-06-26.
	Zhang X J, Zhao R H, Yu X N, Si T, Zou X X, Wang Y F, Wang M L. Identification and application molecular markers of soluble sugar content in peanut seeds. China patent: 202010304681. 6, 2020-06-26. (in Chinese with English abstract)
[13]	姜慧芳, 李威涛, 黄莉, 刘念, 罗怀勇, 周小静, 陈伟刚, 淮东欣, 雷永, 廖伯寿.与花生蔗糖含量主效QTL位点连锁的分子标记及其应用. 中国专利: 202110034523, 2022-08-09.
	Jiang H F, Li W T, Huang L, Liu N, Luo H Y, Zhou X J, Chen W G, Huai D X, Lei Y, Liao B S. Application of a molecular marker linked to the major QTL locus of sucrose content in peanut. China patent: 202110034523, 2022-08-09. (in Chinese with English abstract)
[14]	Guo J, Qi F, Qin L, Zhang M, Sun Z, Li H, Cui M, Zhang M, Li C, Li X, Zhao Q, Luo D, Tian M, Liu H, Xu J, Miao L, Huang B, Dong W, Han S, Zhang X. 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
[15]	马钰聪, 赵雨露, 李佳伟, 刘彬, 王春妹, 张敏, 张利苹, 蒋晓霞, 穆国俊. 花生子仁糖代谢转录组-代谢组学联合分析. 植物遗传资源学报, 2022, 23: 1143-1154. doi: 10.13430/j.cnki.jpgr.20211121001
	Ma Y C, Zhao Y L, Li J W, Liu B, Wang C M, Zhang M, Zhang L P, Jiang X X, Mu G J. Transcriptome-metabolome combined analysis of kernel sugar metabolism in peanut (Arachis hypogaea L.). J Plant Genet Resour, 2022, 23: 1143-1154. (in Chinese with English abstract)
[16]	王靖天, 张亚雯, 杜应雯, 任文龙, 李宏福, 孙文献, 葛超, 章元明. 数量性状主基因+多基因混合遗传分析R软件包SEA v2.0. 作物学报, 2022, 48: 1416-1424. doi: 10.3724/SP.J.1006.2022.14088
	Wang J T, Zhang Y W, Du Y Q, Ren W L, Li H F, Sun W W, Ge C, Zhang Y M. SEA v2.0: an R software package for mixed major genes plus polygenes inheritance analysis of quantitative traits. Acta Agron Sin, 2022, 48: 1416-1424. (in Chinese with English abstract) doi: 10.3724/SP.J.1006.2022.14088
[17]	王志伟, 王秀贞, 马浪, 刘婷, 唐月异, 吴琪, 孙全喜, 王传堂. 花生籽仁食用感官品质近红外分析模型构建. 花生学报, 2022, 51(3): 77-82.
	Wang Z W, Wang X Z, Ma L, Liu T, Tang Y Y, Wu Q, Sun Q X, Wang C T. Construction of near infrared spectroscopy models on prediction of eating quality of peanut kernel. J Peanut Sci, 2022, 51(3): 77-82. (in Chinese with English abstract)
[18]	朱军. 遗传学(第4版). 北京: 中国农业出版社, 2018.pp92-113.
	Zhu J. Genetics, 4th edn. Beijing: China Agriculture Press, 2018. pp 92-113. (in Chinese)
[19]	Beche E, Large E, Song Q J, Carter T E Jr, Taliercio E, Nelson R, Beissinger T, Shannon G, Scaboo A.Evaluation of seed composition and agronomic traits in bi-parental Glycine max by Glycine soja populations for developing genomic prediction models. 7th International Crop Science Congress, 2016. p 218.
[20]	李菁华, 张明聪, 金喜军, 王孟雪, 任春元, 张玉先, 胡国华, 宋晓慧. 高油型和高蛋白型大豆鼓粒期的糖分积累规律. 大豆科学, 2017, 36: 68-73.
	Li J H, Zhang M C, Jin X J, Wang M X, Ren C Y, Zhang Y X, Hu G H, Song X H. Sugar accumulation rule of high oil and high protein soybean during the seed-filling period. Soybean Sci, 2017, 36: 68-73. (in Chinese with English abstract)
[21]	万林生, 孙红芹, 倪正斌, 严国红, 孙明法, 周汝琴. 甘蓝型油菜不同含油量品系不同部位碳水化合物积累差异性研究. 上海农业科技, 2017, (1): 41-42.
	Wan L S, Sun H Q, Ni Z B, Yan G H, Sun M F, Zhou R Q. Study on the difference of carbohydrate accumulation in different parts of Oilseed rape. J. Shanghai Agric Sci Technol, 2017, (1): 41-42. (in Chinese with English abstract)
[22]	Hill L M. Metabolism of sugars in the endosperm of developing seeds of oilseed rape. Plant Physiol, 2003, 131: 228-236. pmid: 12529530
[23]	Morley-Smith E R, Pike M J, Findlay K, Köckenberger W, Hill L M, Smith A M, Rawsthorne S. The transport of sugars to developing embryos is not via the bulk endosperm in oilseed rape seeds. Plant Physiol, 2008, 147: 2121-2130. doi: 10.1104/pp.108.124644 pmid: 18562765
[24]	王树源. 油菜发育种子中油脂积累及其与ACL、PEPc和PAL酶活性的相关性研究. 南京农业大学硕士学位论文, 江苏南京, 2009.
	Wang S Y. Study on Lipid Accumulation in Developing Seeds and Correlations of Oil Content with ACL, PEPc and PAL Activities in Brassica nupus. MS Thesis of Nanjing Agricultural University, Nanjing, Jiangsu, China, 2009. (in Chinese with English abstract)
[25]	张娟, 牛百晓, 鄂志国, 陈忱. 水稻胚乳发育遗传调控的研究进展. 中国水稻科学, 2021, 35: 326-341. doi: 10.16819/j.1001-7216.2021.210307
	Zhang J, Niu B X, E Z G, Chen C. Towards understanding the genetic regulations of endosperm development in rice. Chin J Rice Sci, 2021, 35: 326-341. (in Chinese with English abstract) doi: 10.16819/j.1001-7216.2021.210307
[26]	张洋, 刘爱忠. 蓖麻种子油脂累积与可溶性糖变化的关系. 生物技术通报, 2016, 32(6): 10.
	Zhang Y, Liu A Z. The correlation between soluble carbohydrate metabolism and lipid accumulation in castor seeds. Bio-Technol Bull, 2016, 32(6): 10. (in Chinese with English abstract)
[27]	Sosso D, Luo D, Li Q B, Sasse J, Yang J, Gendrot G, Suzuki M, Koch K E, McCarty D R, Chourey P S, Rogowsky P M, Ross-Ibarra J, Yang B, Frommer W B. Seed filling in domesticated maize and rice depends on SWEET-mediated hexose transport. Nat Genet, 2015, 47: 1489-1493. doi: 10.1038/ng.3422 pmid: 26523777
[28]	Fei H, Yang Z, Lu Q, Wen X, Lu C. OsSWEET14 cooperates with OsSWEET11 to contribute to Kernel filling in rice. Plant Sci, 2021, 306: 110851. doi: 10.1016/j.plantsci.2021.110851
[29]	郭磊. 甘蓝型油菜功能未知基因Bna88的研究. 湖南农业大学硕士学位论文, 湖南长沙, 2015.
	Guo L. Study on the Unknown-function Gene Bna88 of Brassica napus. MS Thesis of Hunan Agricultural University, Changsha, Hunan, China, 2015. (in Chinese with English abstract)
[30]	Li P, Wang L H, Liu H H, Yuan M. Impaired SWEET-mediated sugar transportation impacts starch metabolism in developing rice seeds. Crop J, 2022, 10: 98-108. doi: 10.1016/j.cj.2021.04.012
[31]	Patil G, Vuong T D, Kale S, Valliyodan B, Deshmukh R, Zhu C, Wu X, Bai Y, Yungbluth D, Lu F, Kumpatla S, Shannon J G, Varshney R K, Nguyen H T. Dissecting genomic hotspots underlying seed protein, oil, and sucrose content in an interspecific mapping population of soybean using high-density linkage mapping. Plant Biotechnol J, 2018, 16: 1939-1953. doi: 10.1111/pbi.12929 pmid: 29618164
[32]	王飞, 范斌, 张启鑫, 田佳昕. 施肥模式对花生碳氮代谢产物的影响. 耕作与栽培, 2022, 42(4): 34-38.
	Wang F, Fan B, Zhang Q X, Tian J X. Effects of fertilization mode on carbon and nitrogen metabolites in peanut. Tillage Cult, 2022, 42(4): 34-38. (in Chinese with English abstract)
[33]	赵桂兰, 陈锦清, 尹爱萍, 胡张华, 钱雪燕, 郭东全. 获得转反义PEP基因超高油大豆新材料. 分子植物育种, 2005, 3: 792-796.
	Zhao G L, Chen J Q, Yin A P, Hu Z H, Qian X Y, Guo D Q. A new high oil soybean with antisense PEP gene. Mol Plant Breed, 2005, 3: 792-796. (in Chinese with English abstract)
[34]	赵彦朋, 梁伟, 王丹, 王玉美, 刘正杰, 崔宇鹏, 华金平. 植物油脂合成调控与遗传改良研究进展. 中国农业科技导报, 2018, 20(1): 14-24. doi: 10.13304/j.nykjdb.2017.0170
	Zhao Y P, Liang W, Wang D, Wang Y M, Liu Z J, Cui Y P, Hua J P. Regulation of oil biosynthesis and genetic improvement in plant: advances and prospects. J Agric Sci Technol, 2018, 20(1): 14-24. (in Chinese with English abstract)
[35]	Jones S I, Hunt M R, Vodkin L O. An embryo lethal transgenic line manifests global expression changes and elevated protein/oil ratios in heterozygous soybean plants. PLoS One, 2020, 15: e0233721. doi: 10.1371/journal.pone.0233721
[36]	张婵娟, 申佳芳, 单志慧, 陈海峰, 曹东, 袁松丽, 黄毅, 陈李淼, 郝青南, 郭葳, 杨红丽, 陈水莲, 杨中路, 周新安.GmSWEET20蛋白及其编码基因在调控大豆单株荚数和产量中的应用. 中国专利: 202210748349, 2022-10-04.
	Zhang C J, Shen J F, Shan Z H, Chen H F, Cao D, Huang Y, Chen L M, Hao Q N, Guo W, Yang H L, Chen S L, Yang Z L, Zhou X A.Application of GmSWEET20 protein and its encoding gene in regulating pod number and yield of soybean per plant. China patent: 202210748349, 2022-10-04 (in Chinese with English abstract).
[37]	李艳娇, 李文才, 孙琦, 赵勐, 李文兰, 于彦丽, 孟昭东. SWEET转运蛋白在作物中的功能研究及前景展望. 山东农业科学, 2019, 51(6): 154-159.
	Li Y J, Li W C, Sun Q, Zhao M, Li W L, Yu Y L, Meng Z D. Functional research and prospect of SWEET transporter in crops. Shandong Agric Sci, 2019, 51(6): 154-159. (in Chinese with English abstract)
[38]	胡丽萍, 张峰, 徐惠, 刘光敏, 王亚钦, 何洪巨. 植物SWEET基因家族结构、功能及调控研究进展. 生物技术通报, 2017, 33(4): 27-37. doi: 10.13560/j.cnki.biotech.bull.1985.2017.04.004
	Hu L P, Zhang F, Xu H, Liu G M, Wang Y Q, He H J. Research advances in the structure, function and regulation of SWEET gene family in plants. Bio-Technol Bull, 2017, 33(4): 27-37. (in Chinese with English abstract)
[39]	陈昕钰, 陈铭鑫, 杨阳, 李波, 董召娣, 汪巧菊, 余徐润, 熊飞. 干旱胁迫下小麦颖果内源激素的变化及其与胚乳发育的关系. 麦类作物学报, 2019, 39(4): 9.
	Chen X Y, Chen M X, Yang Y, Li B, Dong S D, Wang Q J, Yu X R, Xiong F. Relationship between changes of endogenous hormones and development of endosperm in wheat caryopsis under drought stress. J Triticeae Crops, 2019, 39(4): 9. (in Chinese with English abstract)
[40]	柯媛媛, 陈翔, 倪芊芊, 张乐乐, 魏凤珍, 李金才. 小麦干物质积累与分配规律研究进展. 大麦与谷类科学, 2021, 38(3): 1-7.
	Ke Y Y, Chen X, Ni Q Q, Zhang L L, Wei F Z, Li J C. Research progress of dry matter accumulation and distribution pattern in wheat. Barl Cereal Sci, 2021, 38(3): 1-7. (in Chinese with English abstract)
[41]	Wang S, Liu S, Wang J, Yokosho K, Tian Z. Simultaneous changes in seed size, oil content and protein content driven by selection of SWEET homologues during soybean domestication. Natl Sci Rev, 2020, 7: 1776-1786. doi: 10.1093/nsr/nwaa110
[42]	Sun C, Wang Y, Yang X, Tang L, Wan C, Liu J, Chen C, Zhang H, He C, Liu C, Wang Q, Zhang K, Zhang W, Yang B, Li S, Zhu J, Sun Y, Li W, Zhou Y, Wang P, Deng X. MATE transporter GFD1 cooperates with sugar transporters, mediates carbohydrate partitioning, and controls grain filling duration, grain size and number in rice. Plant Biotechnol J, 2023, 21: 621-634. doi: 10.1111/pbi.v21.3

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杂交组合 Cross	亲本 Parents		F_2:3群体 F_2:3 population
杂交组合 Cross	亲本 Parents		最小值 Minimum (%)	最大值 Maximum (%)	平均值 Mean (%)	标准差 SD (%)	变异系数 CV (%)	偏度 Skewness	峰度 Kurtosis
NYBP×SYT5-1	NYBP (2.53%)^a	SYT5-1 (6.41%)^a	0.19	9.36	4.37	158.00	0.36	0.578	-0.194
19-1934×JHT1	19-1934 (2.61%)^a	JHT1 (6.34%)^a	0.09	9.51	3.75	2.03	0.54	—	—

模型 Model	NYBP×SYT5-1		19-1934×JHT1
模型 Model	极大似然值 Maximum likelihood value	AIC值 AIC value	极大似然值 Maximum likelihood value	AIC值 AIC value
0MG	-880.62	1765.24	-319.34	642.67
1MG-AD	-854.67	1717.34	-303.63	615.25
1MG-A	-861.88	1729.77	-311.98	629.95
1MG-EAD	-859.98	1727.95	-305.59	619.18
1MG-NCD	-856.16	1720.32	-319.34	646.68
2MG-ADI	-855.91	1731.82	-319.32	658.64
2MG-AD	-847.85	1707.69	-298.02	608.03
2MG-A	-855.54	1719.08	-303.72	615.44
2MG-EA	-854.99	1715.97	-314.18	634.36
2MG-CD	-880.62	1769.28	-313.89	635.79
2MG-EAD	-880.62	1767.28	-318.87	643.73

杂交组合 Cross	模型 Model	U₁²	P(U₁²)	U₂²	P(U₂²)	U₃²	P(U₃²)	nW²	P(N_w²)	D_N	P(D_n)
NYBP× SYT5-1	1MG-AD	1.00E-04	0.9940	0.0002	0.9892	0.0006	0.9800	0.0218	0.9950	0.0166	0.9994
	1MG-EAD	0.1167	0.7326	0.1007	0.7509	0.0029	0.9572	0.0789	0.7087	0.0379	0.5086
	1MG-NCD	0.0274	0.8685	0.0162	0.8988	0.0175	0.8949	0.0317	0.9701	0.0200	0.9908
	2MG-ADI	0.0204	0.8864	0.0047	0.9453	0.0778	0.7803	0.0333	0.9642	0.0189	0.9956
	2MG-AD	0.0010	0.9751	0.0010	0.9753	0.0000	0.9976	0.0102	1.0000	0.0159	0.9997
	2MG-A	0.0047	0.9452	0.0179	0.8936	0.0722	0.7881	0.0316	0.9707	0.0228	0.9651
	2MG-EA	0.0344	0.8528	0.0269	0.8697	0.0039	0.9502	0.0504	0.8742	0.0327	0.6943
19-1934× JHT1	1MG-AD	4.00E-04	0.9842	0.0033	0.9545	0.0230	0.8793	0.0330	0.9654	0.0482	0.8603
	1MG-A	0.0821	0.7744	0.0765	0.7822	0.0000	0.9969	0.0844	0.6784	0.0517	0.7988
	1MG-EAD	0.0059	0.9389	0.0337	0.8544	0.1912	0.6620	0.0429	0.9176	0.0474	0.8722
	2MG-AD	0.0017	0.9669	0.0044	0.9472	0.0109	0.9169	0.0117	1.0000	0.0336	0.9939
	2MG-A	1.2530	0.2630	0.8780	0.3487	0.3447	0.5571	0.2274	0.2240	0.0911	0.1561
	2MG-EA	0.0772	0.7811	0.2187	0.6400	0.6310	0.4270	0.1651	0.3477	0.0721	0.3984
	2MG-CD	0.0850	0.7707	0.0990	0.7530	0.0168	0.8968	0.0510	0.8705	0.0491	0.8444

组合 Cross	模型 Model	d_a	d_b	h_a	h_b
NYBP×SYT5-1	1MG-AD	1.7069	—	—	—
	1MG-EAD	0.7867	—	—	—
	1MG-NCD	1.4272	—	—	—
	2MG-ADI	1.3168	0.2617	-1.8727	0.2215
	2MG-AD	1.6676	1.2171	-0.6996	-0.3973
	2MG-A	0.3011	1.5194	—	—
	2MG-EA	1.2261	—	—	—
19-1934×JHT1	1MG-AD	1.8713	—	1.6551	—
	1MG-A	1.6177	—	—	—
	1MG-EAD	1.8123	—	—	—
	2MG-AD	1.7948	0.7131	1.9106	-0.1276
	2MG-A	0.2584	2.3986	—	—
	2MG-EA	0.8187	—	—	—
	2MG-CD	1.7337	0.0692	—	—

组合 Cross	模型 Model	主基因方差σ_mg Major-gene variance	主基因遗传率h_mg Heritability (%)
NYBP× SYT5-1	1MG-AD	1.3315	50.1478
	1MG-EAD	0	0
	1MG-NCD	1.5391	57.9683
	2MG-ADI	1.5638	58.8963
	2MG-AD	2.2810	85.9102
	2MG-A	0.8810	33.1817
	2MG-EA	1.7369	65.4163
19-1934× JHT1	1MG-AD	0	0
	1MG-A	3.8168	91.6497
	1MG-EAD	1.9310	46.3678
	2MG-AD	4.0724	97.7852
	2MG-A	3.8973	93.5826
	2MG-EA	4.0716	97.7679
	2MG-CD	2.5741	61.8081

Analysis of genetic model of sucrose content in peanut

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