检索
E-mail
RSS
高级检索 图表检索

当期目录 我要投稿 过刊浏览
高级检索 图表检索

作物杂志,2021, 第2期: 165–172 doi: 10.16035/j.issn.1001-7283.2021.02.024

所属专题： 杂粮作物

• 生理生化·植物营养·栽培耕作 • 上一篇    下一篇

燕麦籽粒营养与农艺性状相关性分析

周月霞1(), 范昱1, 阮景军1, 严俊2, 赖弟利1, 彭艳1, 唐勇1, 翁文凤1, 程剑平1()   

  1. 1贵州大学麦作研究中心,520025,贵州贵阳
    2成都大学药学与生物工程学院,610106,四川成都
  • 收稿日期:2020-03-21 修回日期:2021-02-06 出版日期:2021-04-15 发布日期:2021-04-16
  • 通讯作者: 程剑平
  • 作者简介:周月霞,主要研究方向杂粮作物遗传育种,E-mail： zhouyuexiagui@hotmail.com
  • 基金资助:
    贵州省科技支撑计划项目《贵州酿酒高粱地方优良种质创新与利用》(黔科合支撑[2018]2292);国家自然科学基金(31660531);国家自然科学基金(31560578);国家国际科技合作专项项目(2013DFA32200)

Correlation Analysis of Oat Grain Nutrition and Agronomic Traits

Zhou Yuexia1(), Fan Yu1, Ruan Jingjun1, Yan Jun2, Lai Dili1, Peng Yan1, Tang Yong1, Weng Wenfeng1, Cheng Jianping1()   

  1. 1Wheat Farming Research Center, Guizhou University, Guiyang 520025, Guizhou, China
    2School of Pharmacy and Biological Engineering, Chengdu University, Chengdu 610106, Sichuan, China
  • Received:2020-03-21 Revised:2021-02-06 Online:2021-04-15 Published:2021-04-16
  • Contact: Cheng Jianping

RichHTML

6

PDF (PC)

328

摘要：

为了进一步发掘利用高营养物质含量的燕麦籽粒基因和种质资源,以西北农林科技大学引进的60份栽培型燕麦为研究材料,种植于四川成都金堂县和四川甘孜州康定县两个地点,对收获籽粒的6个营养指标、4个产量指标和7个农艺性状进行测定。通过对不同环境中燕麦各营养成分与农艺性状性状进行显著性差异分析、网络相关性分析及主成分分析,筛选出高品质基因型XO-1-6、XO-1-12和XO-1-16,高产基因型XO-1-16、XO-1-17和XO-1-19,而且金堂县的籽粒营养高于康定县,籽粒产量及农艺性状总体低于康定县,营养品质与产量呈负相关,与株高呈正相关,与分蘖数呈负相关,说明燕麦的营养成分和产量除了受遗传性质影响外还受环境的制约;可将17个性状综合为5个主成分。本研究为在该地区选育高品质及高产燕麦资源提供研究材料,为燕麦生产研究奠定理论基础,对燕麦品质的遗传改良具有重要的参考意义。

关键词: 燕麦, 营养性状, 农艺性状, 显著性差异分析, 网络相关性, 主成分分析

Abstract:

In order to further explore and utilize the genes and germplasm resources with high nutrient content of oat grains, 60 cultivated oats introduced by Northwest Agriculture and Forestry University were used as research materials and planted in two environments (Jintang County, Chengdu, Sichuan and Kangding County, Ganzi Prefecture, Sichuan). There were six nutritional indicators, four yield indicators, and seven agronomic traits of grains determined. Through the significant differences, network correlation analysis and principal component analysis of oats in different environments, the nutritional components, and agronomic traits were studied, high-quality genotypes XO-1-6, XO-1-12, XO-1-16, high-yielding genotypes XO-1-16, XO-1-17, XO-1-19 were selected, and the grains nutrition in Jintang County was higher than that of Kangding County, grain yield and agronomic traits were generally lower than that of Kangding County. Nutritional quality was negatively correlated with yield, and it was positively correlated with plant height but negatively correlated with tillers number, indicating that the nutrient composition and yield of oats were not only affected by genetic properties but also by the environment. Seventeen traits could be integrated into five principal components. This thesis will provide research materials for breeding high-quality and high-yield oat resources in this area, laying a theoretical foundation for oat production research, and having important reference significance for genetic improvement of oat quality.

Key words: Oats, Nutritional traits, Agronomic traits, Significant difference analysis, Network correlation, Principal component analysis

表1

燕麦籽粒农艺性状及产量性状的平均值及范围

种植地
Planting
area		 统计值
Statistic		 株高(cm)
Plant height
(PH)		 穗长(cm)
Spike length
(SL)		 旗叶长(cm)
Flag leaf
length (FL)		 旗叶宽(cm)
Flag leaf
width (FW)		 总分蘖数
Total tillers
(TT)		 有效分蘖数
Effective
tillers (ET)		 第一节长(cm)
First section
length (FS)		 单株产量(g)
Yield per
plant (YPP)		 籽粒长(cm)
Grain length
(GL)		 籽粒宽(cm)
Grain width
(GW)		 千粒重(g)
1000-grain weight (TGW)
金堂县
Jintang		 均值±标准差
Mean ± SD		 112.48±17.50 28.93±5.88 18.92±3.74 1.31±0.40 15.10±5.95 13.12±5.35 36.78±6.09 2.78±1.62 0.85±0.14 0.27±0.13 26.02±3.65
范围Range 87.10~167.80 18.90~51.80 10.80~28.60 0.60~2.30 6.70~38.00 3.50~35.00 25.3~54.2 1.12~4.94 0.68~0.96 0.22~0.30 14.62~32.33
变异系数
Variable coefficient		 0.16 0.20 0.20 0.31 0.39 0.41 0.17 0.58 0.07 0.05 0.14
康定县
Kangding		 均值±标准差
Mean ± SD		 101.24±21.95 26.29±6.17 18.33±4.13 1.86±0.42 9.70±3.14 9.00±2.83 39.96±8.02 4.11±2.53 0.86±0.64 0.29±0.15 31.24±4.42
范围Range 64.33~162.67 16.67~43.17 9.17~26.67 1.20~3.33 6.00~28.67 5.00~15.33 26.00~72.17 1.69~17.35 0.63~1.03 0.26~0.33 19.88~42.24
变异系数
Variable coefficient		 0.22 0.23 0.23 0.23 0.32 0.31 0.20 0.62 0.07 0.05 0.14

表2

燕麦籽粒营养性状含量的平均值及范围

种植地
Planting area		 统计值
Statistic		 总类黄酮(mg/g)
Total flavonoids (TF)		 总酚(mg/g)
Total phenol (TP)		 植酸(mg/kg)
Phytic acid (PHY)		 无机磷(mg/kg)
Inorganic phosphorus(PI)		 黄色素(mg/kg)
Yellow pigment (YP)		 氨基(mg/kg)
Amino (-NH2)
金堂县Jintang 均值±标准差
Mean ± SD		 152.96±70.20 584.65±163.80 5.96±1.22 7.07±2.32 51.84±26.12 4.19±2.20
范围Range 31.76~312.84 153.04~1239.00 3.42~8.12 2.81~12.53 16.63~162.99 1.29~10.18
变异系数
Variable coefficient		 0.46 0.28 0.21 0.33 0.50 0.52
康定县Kangding 均值±标准差
Mean ± SD		 48.66±19.71 336.40±72.60 2.89±0.82 3.23±1.27 38.15±10.31 5.92±1.61
范围Range 21.34~210.30 196.70~507.70 1.34~4.73 1.34~6.79 3.35~66.85 2.91~10.42
变异系数
Variable coefficient		 0.41 0.20 0.28 0.39 0.27 0.27

图1

不同环境中燕麦籽粒各营养性状含量比较 图中数值代表2个环境中3次重复的平均值±标准差,包括10个最高值、均值和10个最低值;不同字母表示材料间差异达0.05显著水平

图2

燕麦农艺性状及籽粒营养组分的相关性网络

表3

各成分因子向量载荷系数及方差贡献率

成分
Composition		 初始特征值Initial eigenvalue 提取载荷平方和Load square
总计Total 方差百分比Percentage (%) 累积Cumulative(%) 总计Total 方差百分比Percentage (%) 累积Cumulative(%)
A 6.359 37.404 37.404 6.359 37.404 37.404
B 2.164 12.729 50.133 2.164 12.729 50.133
C 1.902 11.187 61.320 1.902 11.187 61.320
D 1.549 9.114 70.434 1.549 9.114 70.434
E 1.074 6.317 76.751 1.074 6.317 76.751
[1] 中国农学会遗传资源学会. 中国作物遗传资源. 北京: 中国农业出版社, 1994: 198-200.
[2] 林汝法, 柴岩, 廖琴, 等. 中国小杂粮. 北京: 中国农业科学技术出版社, 2002: 126.
[3] 顾尧臣. 小宗粮食加工(一). 粮食与饲料工业, 1999(4):11-15.
[4] Yu X, Yang M, Dong J, et al. Comparative analysis of the antioxidant capacities and phenolic compounds of oat and buckwheat vinegars during production processes. Journal of Food Science, 2018,83(3):844-853.
[5] Ai H, Chang C Q. Research progress on nutritional components and functional factors in sports nutrition food. Journal of Food Science and Technology, 2017,35(3):16-24.
[6] 蹇黎, 秦小军, 余丹凤, 等. 喀斯特山区野生燕麦农艺性状的遗传多样性分析. 河南农业科学, 2013,42(6):27-31.
[7] 严俊, 王莹, Gutterman Y, 等. 起源地生态地理因素对野生二棱大麦生长的影响. 西南农业学报, 2010,23(6):1799-1804.
[8] Wang H Z, Yang L, Zu Y G, et al. Microwave-assisted simultaneous extraction of luteolin and apigenin from tree peony pod and evaluation of its antioxidant activity. The Scientific World Journal, 2014(1):1-12.
[9] Butt M S, Tahir-Nadeem M, Khan M K I, et al. Oat:unique among the cereals. European Journal of Nutrition, 2008,47(2):68-79.
[10] 赵丽那, 严俊, 薛文韬, 等. 燕麦籽粒多组分营养性状的相关性分析. 江西农业大学学报, 2016,38(4):623-630.
[11] 巴塔罗瓦·戈丽娜, 任长忠. 燕麦在膳食、医疗和化妆品方面的应用. 西安: 陕西科学技术出版社, 2011: 3-57.
[12] Prasad R, Alok J, Latha S, et al. Nutritional advantages of oats and opportunities for its processing as value added foods-are view. Food Science Technology, 2015,52(2):662-675.
[13] 刘新伦, 吉万全, 王长有. 燕麦在小麦遗传育种中的应用研究进展. 安徽农业科学, 2015,43(24):38-40,63.
[14] Zhi S J, Meng C T, Jiang M W. The determination of flavonoid contents in mulberry and their scavenging effects on superoxide radicals. Food Chemistry, 1999,64(4):555-559.
[15] Ainsworth E A, Gillespie K M. Estimation of total phenolic content and other oxidation substrates in plant tissues using folin ciocalteu reagent. Nature Protocols, 2007,2(4):875-877.
[16] Latta M, Eskin M. A simple and rapid colorimetric method for phytate determination. Journal of Agricultural and Food Chemistry, 1980,28(6):1313-1315.
[17] Ficco D B M, Riefolo C, Nicastro G, et al. Phytate and mineral elements concentration in a collection of Italian durum wheat cultivars. Field Crop Research, 2009,111(3):235-242.
[18] Adler-Nissen J. Determination of the degree of hydrolysis of food protein hydrolysates by trinitrobenzenesulfonic acid. Journal of Agricultural Food Chemistry, 1979,27(6):1256-1262.
[19] 杨延兵, 张涵, 王润丰, 等. 谷子籽粒小米黄色素含量的测定. 中国粮油学报, 2019,34(3):121-125.
[20] Batushansky A, Toubiana D, Fait A. Correlation-based network generation,visualization,and analysis as a powerful tool in biological studies:a case study in cancer cell metabolism. Biomed Research International, 2016,20(2):1-9.
[21] Yan J, Zhang L L, Wang X M, et al. QTL mapping of yield related traits in durum wheat × wild emmer wheat RIL population. Journal of Shandong Agricultural University, 2011,42(2):163-171.
[22] Simmonds N W. The relation between yield and protein in cereal grain. Journal of the Science of Food and Agriculture, 1995,67(3):309-315.
[23] Peleg Z, Cakmak I, Ozturk L E. Quantitative trait loci conferring grain mineral nutrient concentrations in durum wheat × wild emmer wheat RIL population. Theoretical and Applied Genetics, 2009,119(2):353-369.
[24] Uauy C, Distelfeld A, Fahima T, et al. A NAC gene regulating senescence improves grain protein,zinc,and iron content in wheat. Science, 2006,314(5803):1298-1301.
[25] Nevo E, Beiles A, Gutterman Y, et al. Genetic resources of wild cereals in Israel and vicinity. II. Pheno-typic variation within and between populations of wild barley,Hordeum spontaneum. Euphytica, 1984,33(3):737-756.
[26] Yan J, Wang Y, Nevo E, et al. Caryopsis dormancy patterns of wild barley (Hordeum spontaneum) and its association with agronomic traits and ecogeographical parameters. Plant Science Journal, 2011,29(3):352-361.
[27] 谭秀英, 严俊, 范昱, 等. 以色列野生燕麦种子形态、营养品质及其与起源地生态地理因素的相关性. 河南农业科学, 2019,48(11):27-33.
[28] 翟会生, 唐珊珊, 潘志芬, 等. 青稞籽粒主要组分对其淀粉膨胀势的影响. 应用与环境生物学报, 2017,23(2):193-199.
[29] 范昱, 赖弟利, 王佳俊, 等. 以色列野生燕麦物候及农艺性状与起源生态地理因素的相关性. 麦类作物学报, 2019,39(1):56-63.
[30] Terman C T. Yield and protein content of wheat grain as affected by cultivar,N,and environmental growth factors. Agronomy Journal, 1979,71(3):437-440.
[31] Zheng B Q, Pu L Y U, Wang X Y. Effects of waterlogging in different growth stages on the photosynthesis,growth,yield,and protein content of three wheat cultivars in Jianghan Plain. Agricultural Science and Technology, 2016,17(5):1083-1088.
[32] Lásztity R. Oat grain — a wonderful reservoir of natural nutrients and biologically active substances. Food Reviews International, 1998,14(1):99-119.
[1] 周镇磊, 刘建明, 曹东, 刘宝龙, 王东霞, 张怀刚. 不同燕麦品种草产量、农艺性状和饲草品质的比较[J]. 作物杂志, 2024, (1): 132–140
[2] 张璐, 李登明, 翟晓宇, 武俊英, 高世华, 赵宇飞. 燕麦刈割期农艺与品质性状差异及其与再生性能的关系[J]. 作物杂志, 2024, (1): 220–228
[3] 孙远涛, 龙文靖, 李元, 刘天朋, 赵甘霖, 丁国祥, 倪先林. 45份糯高粱种质资源主要农艺性状和SSR标记的遗传多样性分析[J]. 作物杂志, 2024, (1): 57–64
[4] 周启龙. 日喀则高寒河谷区一年生饲用作物适宜混播方式的筛选[J]. 作物杂志, 2023, (6): 209–217
[5] 曲志华, 张丽丽, 胡杨, 乔海明, 李峰, 白苇. 国外引进亚麻种质资源的农艺性状评价[J]. 作物杂志, 2023, (6): 47–53
[6] 赵锋, 包奇军, 潘永东, 柳小宁, 张华瑜, 牛小霞. 70份大麦种质资源遗传多样性评价[J]. 作物杂志, 2023, (6): 54–61
[7] 高作利, 姜帅臣, 刘雨佳, 徐智慧, 刘海峰. 适合延边地区种植的彩色水稻品种筛选[J]. 作物杂志, 2023, (6): 62–68
[8] 杨梅, 杨卫君, 高文翠, 贾永红, 张金汕. 生物质炭与氮肥配施对灌区冬小麦干物质转运、农艺性状及产量的影响[J]. 作物杂志, 2023, (5): 138–144
[9] 刘慧, 龙学毅, 焦岩, 王丽红. 生物炭与磷肥配施对水稻生长发育及产量的影响[J]. 作物杂志, 2023, (5): 238–248
[10] 张尚沛, 杨军学, 罗世武, 王勇, 张晓娟, 程炳文. 糜子育成品种（系）农艺性状遗传变异与丰产性分析[J]. 作物杂志, 2023, (5): 37–42
[11] 葛昌斌, 秦素研, 乔冀良, 王君, 齐双丽, 卢雯瑩, 张振永. 2001-2021年豫南和江苏淮河以南审定小麦品种农艺、品质性状和病害演变对比分析[J]. 作物杂志, 2023, (5): 49–58
[12] 李越, 宁丹, 吕玉峰, 张斌, 薛志强, 贾举庆, 冯美臣, 宋晓彦, 张美俊, 杨武德. 叶面喷硒对燕麦品种硒积累的影响及品种综合性状评价[J]. 作物杂志, 2023, (4): 215–223
[13] 陈志凯, 侯万伟. 豌豆种质资源农艺性状评价及优异资源筛选[J]. 作物杂志, 2023, (4): 38–43
[14] 苏小雨, 高桐梅, 张鹏钰, 李丰, 吴寅, 王东勇, 田媛, 卫双玲. 基于主成分分析及隶属函数法对芝麻苗期耐热性综合评价[J]. 作物杂志, 2023, (4): 52–59
[15] 李青风, 高杰, 彭秋. 贵州省籽粒苋资源农艺性状和品质性状的遗传多样性分析[J]. 作物杂志, 2023, (4): 60–64
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!