作物学报 ›› 2025, Vol. 51 ›› Issue (7): 1757-1768.doi: 10.3724/SP.J.1006.2025.44194
王若楠1,2**(), 张颖星1,2**, 于筱菡2, 刘少雄2, 王跃1,2, 薛亚鹏1,2, 辛旭霞1,2, 张莉1,*(
), 刘敏轩2,*(
)
WANG Ruo-Nan1,2**(), ZHANG Ying-Xing1**,2, YU Xiao-Han2, LIU Shao-Xiong2, WANG Yue1,2, XUE Ya-Peng1,2, XIN Xu-Xia1,2, ZHANG Li1,*(
), LIU Min-Xuan2,*(
)
摘要:
建立谷子种质资源品质性状的快速、高效检测对挖掘具有优异品质性状的资源具有重要意义。本研究选取来自于国内外不同生态区谷子种质资源657份, 采用双波长法测定种子的直链淀粉、支链淀粉和总淀粉含量, 在此基础上选择550份种质用Unscrambler X 10.4化学计量软件构建直链淀粉、支链淀粉和总淀粉的近红外模型, 利用标准正常化结合散射处理(SNV and Detrend)和一阶导数处理参数对原始光谱进行预处理, 用偏最小二乘法(PLS)构建光谱模型。试验结果表明, 657份谷子种质的直链淀粉含量为2.99%~22.40%, 平均值为16.25%; 支链淀粉含量为52.77%~76.09%, 平均值为59.56%; 总淀粉含量为62.53%~83.31%, 平均值为75.81%; 直支比为0.04~0.40, 平均值为0.28。国外种质的直链淀粉和总淀粉的变异系数最高, 分别为30.08%、5.07%; 与国内种质相比, 国外种质的平均总淀粉含量最低, 平均值为75.19%, 幅度范围为64.65%~ 82.38%。国内5个生态区谷子种质的淀粉含量差异明显, 内蒙古高原区直链淀粉、总淀粉和直支比的变异系数最高, 分别为29.40%、4.07%、30.77%; 东北春谷区种质的支链淀粉的变异系数最高, 为6.00%; 南方谷子栽培区种质的直链淀粉、支链淀粉、总淀粉和直支比的变异系数最低, 分别为8.21%、4.40%、2.97%和10.71%。本研究筛选出的高直支比和高支链淀粉含量在前5名的材料均来自于华北夏谷区、黄土高原区和东北春谷区, 其中黄土高原区二毛尖的直支比和直链淀粉最高(0.40、22.40%), 华北夏谷区半芒红谷的支链淀粉含量最高(76.09%)。直链淀粉、支链淀粉和总淀粉的近红外预测模型校正相关系数(R2cal)分别为0.910、0.848和0.717, 交叉验证决定系数(R2cv)分别为0.902、0.830和0.675, 外部验证决定系数(R2val)分别为0.903、0.826和0.702, 定标标准误差(SEC)分别为1.156、1.234和1.367, 交叉检验标准误差(RMSECV)分别为1.208、1.288和1.471, 验证标准偏差(RMSEP)分别为1.130、1.260和1.649, 外部验证相对分析误差(RPD)分别为3.415、2.539和1.765, 最佳因子分别为9、10、10。研究表明, 国内外不同生态区的谷子种质在淀粉含量上呈显著多样性, 且本研究开发的近红外光谱(NIRS)模型可用于预测谷子的直链淀粉和支链淀粉含量, 总淀粉含量虽然可以粗略预测, 但仍需进一步的调整和优化以提高准确性。
[1] | Volkmer J P, Sahoo D, Chin R K, Ho P L, Tang C, Kurtova A V, Willingham S B, Pazhanisamy S K, Contreras-Trujillo H, Storm T A, et al. Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc Natl Acad Sci USA, 2012, 109: 2078-2083. |
[2] | Trivedi A K, Arya L, Verma S K, Tyagi R K, Hemantaranjan A, Verma M, Sharma V P, Saha D. Molecular profiling of foxtail millet (Setaria italica (L.) P. Beauv) from Central Himalayan Region for genetic variability and nutritional quality. J Agric Sci, 2018, 156: 333-341. |
[3] | 刘建垒, 王文娟, 王瑞杰, 赵璐瑶, 常柳, 杨维巧, 张东, 孙辉, 段晓亮. 全国主要谷子品种的营养及食用品质分析. 中国粮油学报, 2022, 37(11): 227-235. |
Liu J L, Wang W J, Wang R J, Zhao L Y, Chang L, Yang W Q, Zhang D, Sun H, Duan X L. Nutrition and eating quality of main foxtail millet varieties in China. J Chin Cereals Oils Assoc, 2022, 37(11): 227-235 (in Chinese with English abstract). | |
[4] | 刘建垒, 常柳, 段晓亮, 王文娟, 孙辉. 谷子的生产概况及其保健功能与机理研究进展. 食品工业科技, 2022, 43(5): 389-395. |
Liu J L, Chang L, Duan X L, Wang W J, Sun H. Foxtail millet: production status, advances in health benefits and its mechanism. Sci Technol Food Ind, 2022, 43(5): 389-395 (in Chinese with English abstract). | |
[5] | 徐姝.谷子淀粉的理化特性及Waxy的功能研究. 山西师范大学硕士学位论文, 山西临汾, 2022. |
Xu S. The Physical and Chemical Properties of Foxtail Millet Starch and Functional Analysis of Waxy. MS Thesis of Shanxi Normal University, Linfen, Shanxi, China, 2022 (in Chinese with English abstract). | |
[6] | 刘建垒, 常柳, 段晓亮, 洪宇, 孙辉. 小米营养成分及其贮藏加工稳定性研究进展. 中国食物与营养, 2022, 28(3): 55-62. |
Liu J L, Chang L, Duan X L, Hong Y, Sun H. Research advancement on nutritional compontent of foxtail millet and their stability during storage and processing. Food Nutr China, 2022, 28(3): 55-62 (in Chinese with English abstract). | |
[7] | 徐锡明, 张欣, 施利利, 崔晶, 丁得亮, 曲红岩, 谷守贤, 李永杰. 直链淀粉含量偏低型杂交粳稻组合的稻米品质评价. 作物杂志, 2016, (6): 44-48. |
Xu X M, Zhang X, Shi L L, Cui J, Ding D L, Qu H Y, Gu S X, Li Y J. Evaluation of rice quality with low amylose content in hybrid Japonica rice combinations. Crops, 2016, (6): 44-48 (in Chinese with English abstract). | |
[8] | 贾冠清, 刁现民. 谷子(Setaria italica(L.) P. Beauv.)作为功能基因组研究模式植物的发展现状及趋势. 生命科学, 2017, 29(3): 292-301. |
Jia G Q, Diao X M. Current status and perspectives of researches on foxtail millet (Setaria italica (L.) P. beauv.): a potential model of plant functional genomics studies. Chin Bull Life Sci, 2017, 29(3): 292-301 (in Chinese with English abstract). | |
[9] | 杨慧卿, 王根全, 郝晓芬, 程乔林, 王晓宇, 秦玉忠. 山西省谷子地方种质资源表型多样性分析. 江苏农业科学, 2022, 50(13): 20-25. |
Yang H Q, Wang G Q, Hao X F, Cheng Q L, Wang X Y, Qin Y Z. Analysis on phenotypic diversity of foxtail millet local germplasm resources in Shanxi province. Jiangsu Agric Sci, 2022, 50(13): 20-25 (in Chinese with English abstract). | |
[10] |
相吉山, 张恒儒, 刘涵, 索良喜, 贾姝婧, 张颖, 史景奇, 胡利喆, 蔡一宁. 不同生态区谷子种质资源表型比较分析. 中国农业科技导报, 2020, 22(9): 31-41.
doi: 10.13304/j.nykjdb.2020.0175 |
Xiang J S, Zhang H R, Liu H, Suo L X, Jia S J, Zhang Y, Shi J Q, Hu L Z, Cai Y N. Comparison of phenotypic traits of foxtail millet germplasm resources in different ecological regions. J Agric Sci Technol, 2020, 22(9): 31-41 (in Chinese with English abstract). | |
[11] |
刘思辰, 曹晓宁, 温琪汾, 王海岗, 田翔, 王君杰, 陈凌, 秦慧彬, 王纶, 乔治军. 山西谷子地方品种农艺性状和品质性状的综合评价. 中国农业科学, 2020, 53: 2137-2148.
doi: 10.3864/j.issn.0578-1752.2020.11.001 |
Liu S C, Cao X N, Wen Q F, Wang H G, Tian X, Wang J J, Chen L, Qin H B, Wang L, Qiao Z J. Comprehensive evaluation of agronomic traits and quality traits of foxtail millet Landrace in Shanxi. Sci Agric Sin, 2020, 53: 2137-2148 (in Chinese with English abstract).
doi: 10.3864/j.issn.0578-1752.2020.11.001 |
|
[12] |
刘敏轩, 陆平. 中国谷子育成品种维生素E含量分布规律及其与主要农艺性状和类胡萝卜素的相关性分析. 作物学报, 2013, 39: 398-408.
doi: 10.3724/SP.J.1006.2013.00398 |
Liu M X, Lu P. Distribution of vitamin E content and its correlation with agronomic traits and carotenoids content in foxtail millet varieties in China. Acta Agron Sin, 2013, 39: 398-408 (in Chinese with English abstract). | |
[13] | Liu M X, Zhang Z W, Ren G X, Zhang Q, Wang Y Y, Lu P. Evaluation of selenium and carotenoid concentrations of 200 foxtail millet accessions from China and their correlations with agronomic performance. J Integr Agric, 2016, 15: 1449-1457. |
[14] |
巫小建, 曾凡荣, 岳文浩, 汪军妹. 大麦籽粒总淀粉含量近红外快速无损检测模型的构建. 浙江农业科学, 2021, 62: 40-41.
doi: 10.16178/j.issn.0528-9017.20210119 |
Wu X J, Zeng F R, Yue W H, Wang J M. Construction of a rapid nondestructive testing model for total starch content in barley grain by near infrared spectroscopy. J Zhejiang Agric Sci, 2021, 62: 40-41 (in Chinese with English abstract). | |
[15] | 李路, 黄汉英, 赵思明, 胡月来, 杨素仙. 大米蛋白质、脂肪、总糖、水分近红外检测模型研究. 中国粮油学报, 2017, 32(7): 121-126. |
Li L, Huang H Y, Zhao S M, Hu Y L, Yang S X. NIR spectra detection model of protein, fat, total sugar and moisture in rice. J Chin Cereals Oils Assoc, 2017, 32(7): 121-126 (in Chinese with English abstract). | |
[16] | 王勇生, 李洁, 王博, 张宇婷, 耿俊林. 基于近红外光谱扫描技术对高粱中粗脂肪、粗纤维、粗灰分含量的测定方法研究. 中国粮油学报, 2020, 35(3): 181-185. |
Wang Y S, Li J, Wang B, Zhang Y T, Geng J L. Research on measurement of crude fat, crude fiber and ash contents in Sorghum using near-infrared reflectance spectroscopy method. J Chin Cereals Oils Assoc, 2020, 35(3): 181-185 (in Chinese with English abstract). | |
[17] | 李琳琳, 金华丽, 崔彬彬, 王晓君. 基于近红外透射光谱的大豆蛋白质和粗脂肪含量快速检测. 粮食与油脂, 2014, 27(12): 57-60. |
Li L L, Jin H L, Cui B B, Wang X J. Rapid determination of soybean protein and crude fat content by near-infrared transmittance spectroscopy. Cereals Oils, 2014, 27(12): 57-60 (in Chinese with English abstract). | |
[18] | Xie L H, Tang S Q, Wei X J, Sheng Z H, Shao G N, Jiao G A, Hu S K, Wang L, Hu P S. Simultaneous determination of apparent amylose, amylose and amylopectin content and classification of waxy rice using near-infrared spectroscopy (NIRS). Food Chem, 2022, 388: 132944. |
[19] | 刘文丽, 严虞虞, 吴东慧, 滕明攀, 何诗慧. 近红外光谱技术无损检测大米中蛋白质. 食品工业, 2019, 40(1): 205-209. |
Liu W L, Yan Y Y, Wu D H, Teng M P, He S H. Rapid and nondestructive detection of protein in rice by near infrared spectroscopy. Food Ind, 2019, 40(1): 205-209 (in Chinese with English abstract). | |
[20] | Zhang H Y, Wang X M, Wang F, Zhao F, Li X R, Fan G Y, Zhao Z H, Guo P Y. Rapid prediction of Apparent Amylose, total starch, and crude protein by near-infrared reflectance spectroscopy for foxtail millet (Setaria italica). Cereal Chem, 2020, 97: 653-660. |
[21] | 田翔, 秦慧彬, 王君杰, 乔治军. 近红外光谱法快速测定小米品质. 粮食与油脂, 2021, 34(10): 145-148. |
Tian X, Qin H B, Wang J J, Qiao Z J. Rapid determination of millet quality by near infrared reflectance spectrometry. Cereals Oils, 2021, 34(10): 145-148 (in Chinese with English abstract). | |
[22] |
刁现民, 程汝宏. 十五年区试数据分析展示谷子糜子育种现状. 中国农业科学, 2017, 50: 4469-4474.
doi: 10.3864/j.issn.0578-1752.2017.23.001 |
Diao X M, Cheng R H. Current breeding situation of foxtail millet and common millet in China as revealed by exploitation of 15 years regional adaptation test data. Sci Agric Sin, 2017, 50: 4469-4474 (in Chinese with English abstract). | |
[23] | 刘建垒, 商博, 邢晓婷, 张东, 常柳, 孙辉, 段晓亮. 4种方法测定小米直链淀粉含量的比较. 食品科学, 2023, 44(12): 217-224. |
Liu J L, Shang B, Xing X T, Zhang D, Chang L, Sun H, Duan X L. Comparison of four methods for the determination of the amylose content in foxtail millet. Food Sci, 2023, 44(12): 217-224 (in Chinese with English abstract). | |
[24] | 马艳弘, 钟小仙, 乔月芳, 李亚辉, 张宏志, 李芬芳. 双波长法测定珍珠粟淀粉中直链和支链淀粉的含量. 江苏农业科学, 2016, 44(12): 331-334. |
Ma Y H, Zhong X X, Qiao Y F, Li Y H, Zhang H Z, Li F F. Determination of amylose and amylopectin in pearl millet starch by dual wavelength method. Jiangsu Agric Sci, 2016, 44(12): 331-334 (in Chinese with English abstract). | |
[25] | 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). | |
[26] | 陈淼, 侯名语, 崔顺立, 李振, 穆国俊, 刘盈茹, 李秀坤, 刘立峰. 不同种皮颜色花生糖含量近红外模型的构建. 光谱学与光谱分析, 2022, 42: 2896-2902. |
Chen M, Hou M Y, Cui S L, Li Z, Mu G J, Liu Y R, Li X K, Liu L F. Construction of near-infrared model of peanut sugar content in different seed coat colors. Spectrosc Spectr Anal, 2022, 42: 2896-2902 (in Chinese with English abstract). | |
[27] |
张北举, 陈松树, 李魁印, 李鲁华, 徐如宏, 安畅, 熊富敏, 张燕, 董俐利, 任明见. 基于近红外光谱的高粱籽粒直链淀粉、支链淀粉含量检测模型的构建与应用. 中国农业科学, 2022, 55: 26-35.
doi: 10.3864/j.issn.0578-1752.2022.01.003 |
Zhang B J, Chen S S, Li K Y, Li L H, Xu R H, An C, Xiong F M, Zhang Y, Dong L L, Ren M J. Construction and application of detection model for amylose and amylopectin content in Sorghum grains based on near infrared spectroscopy. Sci Agric Sin, 2022, 55: 26-35 (in Chinese with English abstract). | |
[28] | 李军涛. 近红外反射光谱快速评定玉米和小麦营养价值的研究. 中国农业大学博士学位论文, 北京, 2014. |
Li J T. Study on Rapid Evaluation of Nutritional Value of Corn and Wheat by Near-infrared Reflectance Spectroscopy. PhD Dissertation of China Agricultural University, Beijing, China, 2014 (in Chinese with English abstract). | |
[29] | Kovalenko I V, Rippke G R, Hurburgh C R. Determination of amino acid composition of soybeans (Glycine max) by near- infrared spectroscopy. J Agric Food Chem, 2006, 54: 3485-3491. |
[30] |
Bagchi T B, Sharma S, Chattopadhyay K. Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran. Food Chem, 2016, 191: 21-27.
doi: 10.1016/j.foodchem.2015.05.038 pmid: 26258697 |
[31] | Lebot V, Champagne A, Malapa R, Shiley D. NIR determination of major constituents in tropical root and Tuber crop flours. J Agric Food Chem, 2009, 57: 10539-10547. |
[32] | 王佳.不同稻米加工成脱水方便米饭的适应性及工艺优化. 中南林业科技大学硕士学位论文, 湖南长沙, 2012. |
Wang J. Adaptability and Process Optimization of Different Kinds of Rice Processed into Dehydrated Instant Rice. MS Thesis of Central South University of Forestry & Technology, Changsha, Hunan, China, 2012 (in Chinese with English abstract). | |
[33] | Jeong H Y, Lim S T. Crystallinity and pasting properties of freeze-thawed high amylose maize starch. Starch Stärke, 2003, 55: 511-517. |
[34] | Li K H, Zhang T Z, Sui Z Q, Narayanamoorthy S, Jin C, Li S G, Corke H. Genetic variation in starch physicochemical properties of Chinese foxtail millet (Setaria italica Beauv.). Int J Biol Macromol, 2019, 133: 337-345. |
[35] |
薛亚鹏, 辛旭霞, 王若楠, 于筱菡, 刘少雄, 王瑞云, 刘敏轩. 国内外谷子资源农艺、品质性状差异分析以及遗传多样性研究. 作物学报, 2024, 50: 2468-2482.
doi: 10.3724/SP.J.1006.2024.44041 |
Xue Y P, Xin X X, Wang R N, Yu X H, Liu S X, Wang R Y, Liu M X. Analysis of agronomic, quality traits and genetic diversity of domestic and foreign foxtail millet resources. Acta Agron Sin, 2024, 50: 2468-2482 (in Chinese with English abstract). | |
[36] | 王多加, 周向阳, 金同铭, 胡祥娜, 钟娇娥, 吴启堂. 近红外光谱检测技术在农业和食品分析上的应用. 光谱学与光谱分析, 2004, 24: 447-450. |
Wang D J, Zhou X Y, Jin T M, Hu X N, Zhong J E, Wu Q T. Application of near-infrared spectroscopy to agriculture and food analysis. Spectrosc Spectr Anal, 2004, 24: 447-450 (in Chinese with English abstract). | |
[37] | 梁晓艳, 吉海彦. 近红外光谱技术在农作物品质分析方面的应用. 中国农学通报, 2006, 22(1): 366-371. |
Liang X Y, Ji H Y. Applications of near infrared spectroscopy technology in analyzing the quality of crops. Chin Agric Sci Bull, 2006, 22(1): 366-371 (in Chinese with English abstract).
doi: 10.11924/j.issn.1000-6850.0601366 |
|
[38] | 田翔, 刘思辰, 王海岗, 秦慧彬, 乔治军. 近红外漫反射光谱法快速检测谷子蛋白质和淀粉含量. 食品科学, 2017, 38(16): 140-144. |
Tian X, Liu S C, Wang H G, Qin H B, Qiao Z J. Application of near infrared diffuse reflectance spectroscopy in rapid detection of crude protein and starch in foxtail millet. Food Sci, 2017, 38(16): 140-144 (in Chinese with English abstract). | |
[39] | Bao J S, Cai Y Z, Corke H. Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy. J Food Sci, 2001, 66: 936-939. |
[40] | 吕建珍, 马建萍, 赵凯, 王宏勇, 任莹, 张海颖, 独俊娥. 23个谷子育成品种的综合评价. 种子, 2020, 39(11): 126-132. |
Lyu J Z, Ma J P, Zhao K, Wang H Y, Ren Y, Zhang H Y, Du J E. Comprehensive evaluation of 23 millet cultivars. Seed, 2020, 39(11): 126-132 (in Chinese with English abstract). | |
[41] |
赵星, 张嘉楠, 张一鸣, 金欣欣, 苏俏, 宋亚辉, 李玉荣, 王瑾. 花生籽仁蔗糖含量近红外光谱快速测定方法研究. 中国油料作物学报, 2025, 47: 226-233.
doi: 10.19802/j.issn.1007-9084.2023251 |
Zhao X, Zhang J N, Zhang Y M, Jin X X, Su Q, Song Y H, Li Y R, Wang J. Rapid determination of sucrose content in peanut kernels by near-infrared spectroscopy. Chin J Oil Crop Sci, 2025, 47: 226-233 (in Chinese with English abstract). | |
[42] | 余松柏, 黄张君, 吴奇霄, 贾俊杰, 王红梅, 王松涛, 沈才洪. 基于近红外光谱构建酒用高粱主要理化指标的快速无损分析模型. 食品工业科技, 2023, 44(10): 311-319. |
Yu S B, Huang Z J, Wu Q X, Jia J J, Wang H M, Wang S T, Shen C H. Constructing rapid and undamaged detection models for main physicochemical indexes of brewing Sorghum based on near infrared spectrum. Sci Technol Food Ind, 2023, 44(10): 311-319 (in Chinese with English abstract). | |
[43] | 郭岩.谷子籽粒主要营养品质性状QTL定位及遗传分析. 西北农林科技大学硕士学位论文, 陕西杨凌, 2024. |
Guo Y. QTL Mapping and Genetic Analysis of Main Nutritional Quality Traits in Foxtail Millet. MS Thesis of Northwest A&F University, Yangling, Shaanxi, China, 2024 (in Chinese with English abstract). |
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