作物杂志, 2021, 37(1): 47-53 doi: 10.16035/j.issn.1001-7283.2021.01.007

遗传育种·种质资源·生物技术

不同水稻种质资源重要农艺性状与发芽期耐寒性鉴定研究

潘晓雪,, 胡明瑜, 王忠伟, 吴红, 雷开荣,

重庆市农业科学院生物技术研究中心/逆境农业研究重庆市重点实验室,401329,重庆

Evaluation of Agronomic Traits and Cold Tolerance at Germination Stage in Rice (Oryza sativa L.) Germplasms

Pan Xiaoxue,, Hu Mingyu, Wang Zhongwei, Wu Hong, Lei Kairong,

Biotechnology Research Center, Chongqing Academy of Agricultural Sciences/Chongqing Key Laboratory of Adversity Agriculture Research, Chongqing 401329, China

通讯作者: 雷开荣,主要从事水稻遗传育种、栽培及综合利用研究,E-mail: leikairong@126.com

收稿日期: 2020-05-22   修回日期: 2020-12-25   网络出版日期: 2021-02-15

基金资助: 重庆市市级农发良种创新(NKY-2019AB013)

Received: 2020-05-22   Revised: 2020-12-25   Online: 2021-02-15

作者简介 About authors

潘晓雪,主要从事植物抗逆性(非生物胁迫)生理生化和植物抗逆性基因工程育种研究,E-mail: xiaoxuepan@126.com

摘要

对106份水稻材料的12个农艺性状进行两年(2018-2019年)田间测定,比较分析不同材料间的性状及多样性指数差异,以低温处理下的发芽率为标准对水稻种质资源发芽期耐寒性进行评价。结果表明,12个农艺性状中,除了千粒重、茎粗和每穗总粒数外,其他9个性状的遗传多样性指数均小于2.00;单株产量、每穗总粒数和每穗实粒数的变异系数分别为22.08%、21.89%和22.25%,谷粒宽变异系数最小,为7.90%。共筛选出23份特异种质资源,其中大穗型品种9个,高单株产量型品种4个,籽粒细长型品种10个。聚类分析可将106份水稻材料分为3个类群,类群Ⅰ、类群Ⅱ和类群Ⅲ占比分别为15.1%、47.2%和37.7%。通过主成分分析可将12个农艺性状指标转换为5个主成分因子(PC1~PC5),得到84.19%的累计贡献率。利用综合指标值(PC1~PC5)和相关公式得到相应模糊隶属函数和权重,最终获得综合评价种质资源农艺性状的D值,排名前10名的种质资源为77D、万恢355-2、宜恢1577、南恢533、176-15、丰788、万恢86、杨福6号、蜀恢527和176-6。低温胁迫导致水稻种子发芽率降低,种质间的发芽率存在显著差异,其中176-6、176-15、桂99和糯稻89-1发芽期耐寒性强,为1级耐寒种质。筛选到的耐寒种质和综合性状优良的种质可为培育适宜直播的新品种提供材料。

关键词: 水稻 ; 种质资源 ; 农艺性状 ; 发芽期耐寒性 ; 综合评价

Abstract

The 12 agronomic traits of 106 rice cultivars collected from Chongqing were identified via a two-year field trial (2018-2019), the traits and genetic diversity indexes differences between different rice varieties were compared and analyzed; germination rate was used to comprehensively evaluate the cold tolerance of rice at germination stage. The results showed that the variation range of genetic diversity index of nine traits less than 2.00 among 12 agronomic traits except 1000-grain weight, stalk diameter and grain number per panicle; the variation coefficient of the dry weight of ears per plant, grain number per panicle and filled grain number per panicle were 22.08%, 21.89% and 22.25%, respectively, while the grain width was the lowest (7.90%). Twenty-three specific varieties were screened, containing nine large-ear varieties, four high dry weight of ears per plant varieties and ten grain slenderness varieties. Through cluster analysis, 106 rice germplasm were divided into three groups, accounting for 15.1% (groupⅠ), 47.2% (groupⅡ), and 37.7% (groupⅢ), respectively. The results of principal component analysis showed that total contribution rate of the first five main component factors (PC1-PC5) including 12 agronomic traits with accumulative contribution of 84.19%. An objective comprehensive evaluation value (D-value) of rice agronomic traits was obtained using membership function with index weight method. The top ten of the D-value of germplasm resources were 77D, Wanhui355-2, Yihui1577, Nanhui533, 176-15, Feng788, Wanhui86, Yangfu6, Shuhui527 and 176-6. There were significant differences in germination rate among different rice germplasms, and four germplasms including 176-6, 176-15, Gui 99, and glutinous Rice 89-1 were selected with high germination rate under low temperature. These germplasms with cold-tolerance and better comprehensive traits can be used for breeding in direct seeding rice.

Keywords: Rice ; Germplasm resources ; Agronomic traits ; Cold-tolerance at germination stage ; Comprehensive assessment

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本文引用格式

潘晓雪, 胡明瑜, 王忠伟, 吴红, 雷开荣. 不同水稻种质资源重要农艺性状与发芽期耐寒性鉴定研究[J]. 作物杂志, 2021, 37(1): 47-53 doi:10.16035/j.issn.1001-7283.2021.01.007

Pan Xiaoxue, Hu Mingyu, Wang Zhongwei, Wu Hong, Lei Kairong. Evaluation of Agronomic Traits and Cold Tolerance at Germination Stage in Rice (Oryza sativa L.) Germplasms[J]. Crops, 2021, 37(1): 47-53 doi:10.16035/j.issn.1001-7283.2021.01.007

水稻(Oryza sativa L.)种质资源是水稻新品种选育的重要物质基础,简单易于操作的农艺性状评价是研究种质资源的基本方法。截至2018年底,国家水稻资源中期库共保存野生稻资源6 694份,各类水稻资源79 468份[1]。朱文东[2]对125份日本水稻品种在四川雅安生态条件下的农艺性状开展研究,鉴定出24份田间表型优异的水稻材料。熊玉珍等[3]对210份江西地方水稻品种资源的15项农艺指标进行测定,筛选出一批可作为育种亲本的优异种质资源。肖佳雷等[4]通过综合评价273份黑龙江地区水稻品种的主要农艺性状,获得33份综合性状优良的材料。水稻种质资源农艺性状指标的鉴定和筛选有利于拓宽水稻种质资源的遗传基础。

近年来,由于育种家选育时的偏爱和水稻育种中骨干亲本选择的单一化,导致遗传一致性增强,普通栽培稻的抗逆性越来越弱[5]。因此,充分挖掘现有种质资源的遗传变异和优良性状,可为水稻单产、品质特性及其抗逆性的提升改良提供选择依据。低温是最为常见的环境胁迫因子之一,严重影响植物生长发育和地理分布[6]。水稻是喜温植物,一般低于10℃便会遭受冷害。水稻秧田和直播田种子若在发芽期遇到低温,将会导致发芽势降低和发芽不齐,甚至影响后期有效分蘖数和籽粒饱满度,严重影响水稻产量[7,8,9]。因此,培育优质耐寒新种质可以提高水稻的生产安全性。本研究通过对106份水稻种质资源主要农艺性状的综合评价和发芽期耐寒性的鉴定,为进一步创制综合性状优异和耐寒新种质资源提供研究基础。

1 材料与方法

1.1 供试材料

试验材料为不同遗传背景的106份水稻材料,由本课题组收集和保存(表1)。

表1   重庆水稻种质资源名称、综合评价值、排名及耐寒等级

Table 1  Names of Chongqing rice germplasms and their D-values, comprehensive rankings and cold resistance levels

编号
No.
名称
Name
D
D-value
排名
Ranking
耐寒等级
Level
编号
No.
名称
Name
D
D-value
排名
Ranking
耐寒等级
Level
1中4130.46055954早黄矮0.436699
2湘恢6号0.45857955万恢4810.446649
3湘恢15号0.34194956半边粘0.383899
4湘恢27号0.44665957蜀恢5270.505289
5湘恢12号0.50229958乐软1010.619169
6蜀恢1620.47844959丰恢990.564209
7泸恢170.50826960成恢4480.513219
8杨福6号0.7248961丰恢890.627129
9江恢1510.56619962成恢4250.626139
10蜀恢5270.7119963宜恢13130.497359
11绵恢7250.46851964内香恢2号0.432729
12黔恢150.50131965乐恢2130.620159
13N69-10.46552966川恢9340.455599
1444C0.51322967蜀3620.468509
1544C-10.49437968宜恢35110.506279
1644D0.31997969成恢4470.417789
17宜恢15770.7593970南恢5330.75149
18明恢630.44067971万恢6460.457589
19鸭棚子0.41080972万恢190.419769
20CDR220.47347973万恢2号0.568189
21黄鞭粘0.45261974万恢4810.423759
22中香1号0.38388975科恢6750.458569
23乐恢1880.43570976RO70.460549
24丝苗香0.177105977R260.477459
25中优3680.40483978R100.428739
2644D0.34692979科恢210.494389
2744D-20.45360980科恢280.433719
28汕B0.49736981科恢20.399849
29N69-20.34393982科恢100.500329
30N69-30.264101983科恢580.488419
31N69-40.46453584科恢390.474469
32宜香B0.40982985科恢1980.500339
33巴西陆稻0.32096986万恢860.72579
34CDR22异0.47148987Q20.468499
35MY-10.48940588糯稻89-10.374901
36MY-20.56817989176-120.481439
37MY-30.39587590176-140.445665
38阳尘糯0.36291991176-150.74751
3977D0.7961992176-160.334955
40川丰6号0.48342993176-180.409819
41丰7880.7256994176-20.426749
42金麻粘0.39785995176-60.678101
43桂990.51025196176-70.512239
44万恢350.49339997176-80.414799
45万恢35-10.49934998176-90.510249
46万恢9100.50230999537-120.1331069
47万恢35-20.448639100537-140.2421029
48万恢355-20.75929101R3370.2301035
49万恢880.438689102中花110.287989
50涪引1号0.624149103黄华占0.2681009
51奇妙香0.395869104科恢675-10.418779
52十里香0.450629105丽江0.2291049
53乌节黄谷0.627119106杨粳42270.283999

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1.2 田间农艺指标考察

1.2.1 试验设计 2018-2019年夏季将106份供试水稻材料种植于重庆现代农业高科技园区试验基地(29°27′25″N,106°21′45″E)。每年3月10日播种,薄膜育秧,4月20日单本移栽,每个材料种植10行,每行10株,行距0.2m,株距0.2m[10]。田间管理同常规水稻栽培管理方式。

1.2.2 农艺性状测定 记录2018和2019年所有材料的评价指标。成熟后,在田间选取生长一致的10个单株,统计每个品种的有效穗数,用直尺测量株高和主穗长,用游标直尺测量倒二节茎秆宽度(简称“茎粗”),而后人工脱粒考察单株产量、千粒重、每穗总粒数(实粒、空瘪粒和落粒的总数)、每穗实粒数、结实率、谷粒长、谷粒宽和谷粒长宽比8项指标。

1.3 水稻发芽期耐寒性试验

1.3.1 试验设计 试验在人工气候箱(型号:Climacell 222,德国MMM)中进行,种子在50℃恒温箱内处理48h,然后随机选取106份水稻材料中健康饱满且无病虫害的种子分批次播种,用0.1% HgCl2消毒10min,用自来水洗涤种子3~4次,加入少量水,室温浸种24h后放入14℃人工气候箱中,9d后开始统计发芽率,15d时结束。发芽标准:当芽长达到种子长度的一半、根长达到种子长度时记为发芽。

1.3.2 测定指标 评价方法参考《水稻种质资源描述规范和数据标准》[11],将低温处理下种子的发芽率作为水稻发芽期耐寒性的评价指标,分1~9级评价。将发芽率≥80%定为1级,为强耐寒品种;发芽率60%~80%为5级,为中度耐寒品种;发芽率≤60%为9级,为不耐寒品种。

1.4 数据分析

采用Microsoft Excel 2010软件进行数据分析,利用R语言软件(3.6.1)进行聚类分析,利用SPSS 20.0进行相关性和主成分分析,利用隶属函数值和权重计算农艺性状的综合得分,参照文献[12,13]计算相关指标。

隶属函数值计算公式:u(Xij)=(Xij-Xjmin)/(Xjmax-Xjmin),(j=1,2,…,n);权重计算公式:wj=Pj/∑nj=1Pj,(j=1,2,…,n);综合评价值计算公式:Di=∑nj=1[u(XijWj],(j=1,2,…,n)。

其中,Xij表示第i个材料的第j个指标,Xjmin为第j个指标的最小值;Xjmax为第j个指标的最大值;Pj表示经主成分分析所得到的第j个综合指标的贡献率;Di值越大,表明第i个材料通过12个数量性状指标评价的综合得分越高。

2 结果与分析

2.1 重庆生态条件下水稻种质资源农艺性状评价

表2可知,2018-2019年106份水稻种质资源在重庆生态条件下,12个农艺性状的变异系数分布在7.90%~22.25%之间,有效穗数、每穗总粒数、每穗实粒数和单株产量的变异系数都在15.00%以上,分别是15.31%、21.89%、22.25%和22.08%。每穗实粒数的遗传变异最丰富,其变异幅度在84.50~325.90之间,平均163.31。参照董昕等[14]的方法计算供试水稻品种的遗传多样性指数,12个农艺性状中,茎粗的遗传多样性指数最大,为2.06,千粒重和每穗总粒数的遗传多样性指数分别为2.02和2.01,其余9个性状的遗传多样性指数均小于2.00。可见,供试水稻品种在重庆生态条件下农艺性状方面差异较明显,蕴藏着较丰富的遗传变异。

表2   2018和2019年重庆水稻材料农艺性状测定结果

Table 2  Evaluation on agronomic traits of rice collected from Chongqing in 2018 and 2019

性状
Trait
均值
Average
最小值
Minimum
最大值
Maximum
标准差
Standard deviation
变异系数
Variation coefficient (%)
多样性指数
Diversity index
株高Plant height (cm)115.4379.53174.7416.8614.611.67
穗长Panicle length (cm)27.9819.5140.163.0710.971.90
有效穗数The effective panicles per plant11.748.0117.601.8015.311.92
单株产量Grain weight per plant (g)37.3611.2958.418.2522.081.94
千粒重1000-grain weight (g)25.8317.5032.112.8110.892.02
茎粗Stalk diameter (cm)6.735.368.380.619.102.06
每穗总粒数Grain number per panicle194.54105.70359.3042.5821.892.01
每穗实粒数Filled grain number per panicle163.3184.50325.9036.3422.251.90
结实率Seed setting rate (%)0.840.620.960.089.741.90
谷粒长Grain length (mm)94.4968.80111.008.468.961.90
谷粒宽Grain width (mm)31.1225.9039.602.507.901.91
谷粒长宽比Grain length/Grain width3.071.803.800.4013.011.85

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2.2 特异水稻种质资源筛选

针对供试材料籽粒性状进行鉴定,共筛选出23份特异种质资源,其中每穗总粒数大于250的大穗型品种9个,占比8.5%;单株产量大于50g的品种4个,分别是N69-3、宜恢1313、丰788和涪引1号;籽粒长宽比大于3.5的细长型品种10个,占比9.4%(表3)。

表3   重庆水稻材料的特异种质资源

Table 3  Special germplasm resources of rice collected from Chongqing

特异资源特征Special germplasm character品种编号(测定值)Variety number (measured value)
大穗(每穗总粒数>250)
Large-ear (Grain number per panicle > 250)
48(359.3),39(315.5),17(303.4),22(279.1),87(270),16(267.9),66(262.0),14(261.2),70(250.6)
高单株产量(单株产量>50g)
High dry weight of ears per plant (Dry weight of ears per plant > 50g)
30(58.41g),63(58.18g),41(54.98g),50(50.87g)
籽粒细长(籽粒长宽比>3.5)
Grain slenderness (Grain length/Grain width > 3.5)
35(3.80),88(3.68),86(3.64),101(3.62),59(3.60),98(3.58),14(3.56),15(3.56),17(3.53),79(3.50)

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2.3 供试水稻种质表型性状的综合评价

2.3.1 相关性与主成分分析 供试水稻品种的12个农艺性状指标相关性分析表明,各指标间存在不同程度的相关性(表4)。单株产量与穗长、有效穗数、千粒重、每穗实粒数和结实率呈显著或极显著正相关。每穗实粒数与每穗总粒数的相关系数在极显著正相关中最大(R=0.912),有效穗数与穗长的相关系数在显著负相关中最小(R=-0.175)。

表4   12个数量性状的相关系数

Table 4  Correlation coefficients of 12 quantitative traits

指标IndexX1X2X3X4X5X6X7X8X9X10X11X12
X1-1.000
X2-0.606**-1.000
X3-0.385**-0.175*-1.000
X4-0.008-0.248**-0.268**1.000
X5-0.070-0.229*-0.1110.253**-1.000
X6-0.319**-0.259**-0.510**0.111-0.175*-1.000
X7-0.109-0.273**-0.391**0.108-0.144-0.537**-1.000
X8-0.038-0.231*-0.335**0.209*-0.068-0.519**-0.912**-1.000
X9-0.321**-0.042-0.0990.304**-0.242**-0.007-0.132-0.275**-1.000
X10-0.211*-0.372**-0.0540.199-0.513**-0.196*-0.024-0.071-0.185*-1.000
X11-0.111-0.297**-0.0020.140-0.225*-0.094-0.135-0.011-0.346**-0.367**-1.000
X12-0.183*-0.387**-0.0370.035-0.185-0.055-0.080-0.064-0.344**-0.844**-0.797**1.000

X1~X12分别表示株高、穗长、有效穗数、单株产量、千粒重、茎粗、每穗总粒数、每穗实粒数、结实率、谷粒长、谷粒宽和谷粒长宽比,下同。**表示极显著相关(P<0.01),*表示显著相关(P<0.05)

X1-X12 represent plant height, panicle length, the effective panicles per plant, dry weight of ears per plant, 1000-kernel weight, stalk diameter, grain number per panicle, filled grain number per panicle, seed setting rate, grain length, grain width, grain length/grain width, the same below. "**" means correlation reach 1% significant level; "*" means correlation reach 5% significant level

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主成分分析结果显示,可将12个农艺性状指标转换为5个主成分因子(PC1~PC5),其初始特征值都大于1,累计贡献率达84.19%(表5)。其中,PC1初始特征值为3.25,累计贡献率为27.10%,载荷绝对值均在0.4以上的株高(X1)、穗长(X2)、有效穗数(X3)、茎粗(X6)、每穗总粒数(X7)、每穗实粒数(X8)、谷粒长(X10)和谷粒长宽比(X12)是PC1中的主要作用因子;PC2的初始特征值为2.54,贡献率为21.17%,每穗实粒数(X8)和谷粒长宽比(X12)载荷绝对值较高,分别为0.769和-0.635;PC3的主要作用因子是单株产量(X4)、千粒重(X5)和结实率(X9),其贡献率为15.54%;PC4的贡献率为11.71%,每穗实粒数(X8)有最小正特征值0.418,株高(X1)有最大负特征值-0.585;PC5的贡献率为8.67%,穗长(X2)有最大的正特征值0.493(表6)。综上所述,PC1~PC5这5个相互独立的综合指标包括的12个性状,可作为重庆生态条件下水稻材料鉴定评价的主要指标。

表5   各综合指标的特征值及贡献率

Table 5  Eigen values and proportion of comprehensive indexes

主成分
Principal
component
特征值
Eigen
value
贡献率
Contribution
rate (%)
累计贡献率
Cumulative contribution
rate (%)
PC13.2527.1027.10
PC22.5421.1748.27
PC31.8715.5463.81
PC41.4011.7175.51
PC51.048.6784.19

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表6   各因子载荷矩阵

Table 6  Loading matrix of each component

主成分Principal componentX1X2X3X4X5X6X7X8X9X10X11X12
PC10.5630.711-0.4800.1500.2520.5930.5860.443-0.2840.656-0.4920.685
PC2-0.063-0.049-0.3910.143-0.0930.5290.6240.7690.404-0.4990.525-0.635
PC3-0.1000.1980.2680.6820.7530.042-0.261-0.0350.6030.3730.3720.007
PC4-0.585-0.1010.4600.321-0.310-0.2070.3400.4180.1810.051-0.4420.278
PC50.4910.4930.3420.399-0.353-0.179-0.017-0.043-0.052-0.289-0.012-0.189

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2.3.2 综合评价 利用主成分分析得到的载荷因子矩阵和相关公式分别计算各水稻材料的隶属函数值u(Xij),求出PC1~PC5的权重,分别为0.322、0.251、0.185、0.155和0.103。根据各水稻材料的隶属函数值u(X1)~u(X5)和综合指标所对应的权重,计算各水稻材料的D值(表1),综合性状越好的材料其D值也越高。D值排名前5名的种质资源为77D、万恢355-2、宜恢1577、南恢533和176-15,D值范围为0.747~0.796;D值排名后5名的种质资源为537-12、丝苗香、丽江、R337和537-14,D值范围为0.133~0.242。

2.4 供试水稻材料的聚类分析

参照田蕾等[15]的方法将12个数量性状数据进行系统聚类分析,可将106份水稻种质资源分为三大类群(图1)。类群Ⅰ包括16个材料,占供试水稻品种的15.1%,D值排名后5名的种质资源都在此类群中;类群Ⅱ包括50个材料,占总数的47.2%,此类种质中秆,结实率在85%左右;类群Ⅲ包括40个材料,占总数的37.7%,D值排名前10的种质资源都在此类群中,整体表现为除有效穗数外,其他各项农艺指标都高于平均值。

图1

图1   基于农艺性状的重庆水稻种质聚类分析

Fig.1   Cluster analysis for rice germplasms collected from Chongqing based on agronomic traits


2.5 低温处理下种子的发芽率

在遭受低温胁迫后,不同水稻材料发芽率存在显著差异,发芽率≥80%的材料有4份,分别为桂99、176-6、176-15和糯稻89-1,为强耐寒品种,占比3.8%;发芽率在60%~80%的有8个,为中度耐寒品种,占总数的7.5%;绝大多数的发芽率≤60%,为不耐寒品种,占总数的88.7%(表1)。

3 讨论

水稻原产我国,在长期的自然选择和人工驯化过程中形成了丰富的地方种质资源[16,17,18]。水稻种质资源的鉴定和评价可以拓宽现有水稻育种的遗传基础。研究人员对我国不同地区品种进行了大量表型性状鉴定及评价[2,3,4],株高、谷粒长宽比和千粒重被认为是评价水稻种质资源表型的关键指标[5,19]。通过主成分分析和各载荷因子系数比较,除了株高、谷粒长宽比和千粒重外,本研究认为主穗长、有效穗数、茎粗、每穗总粒数、每穗实粒数和结实率也可作为重要指标用于水稻种质资源的综合评价。在表型性状数据基础上,根据各水稻材料的隶属函数值和对应的权重得到综合评价的D值可更直观地提供评判标准。综合排名前10名的种质资源为77D、万恢355-2、宜恢1577、南恢533、176-15、丰788、万恢86、杨福6号、蜀恢527和176-6,这10个材料在聚类分析中属于类群Ⅲ。此外,部分材料属于特异种质资源,如丰788单株产量突出,万恢86籽粒细长,77D和南恢533属于大穗种质,宜恢1577每穗总粒数大于250粒,且籽粒细长。

近年来我国水稻直播技术的推广使其应用面积不断扩大[20],而直播田种子若在发芽期遇到长期低温将会严重影响水稻的生产,因此发芽期耐寒水稻种质的筛选将有利于直播水稻的规模化发展。Brandolini等[21]研究表明,低温处理下的发芽率、出苗率和发芽指数可作为玉米种质资源耐寒性的评价指标。Fujino等[22]对回交重组自交系材料开展耐寒性试验,认为种子在15℃低温4d后的发芽率可以作为种质资源耐寒性的评价标准。李霞等[23]认为低温处理下用水稻发芽期存活率来评价水稻耐寒性是可靠的。郭涛等[24]在114个水稻品种中筛选到8份发芽能力强的耐低温种质材料。本研究通过比较供试水稻材料在14℃低温处理9d后的发芽率,发现4份强耐寒材料(桂99,176-6,176-15和糯稻89-1),种子发芽率≤60%的占总数的88.7%,表明大部分供试水稻材料为不耐寒材料。糯稻89-1具有较强的发芽期和苗期耐寒性[25,26],有研究表明糯稻89-1和万恢86构建的渗入系S176具有较强的苗期耐寒性[27]。综合排名第5位的176-15和排名第10位的176-6是糯稻89-1和万恢86的回交重组自交系,同时176-6和176-15又是发芽期1级的强耐寒材料。

4 结论

综合评价D值排名前10名的种质资源中丰788、万恢86、77D、南恢533和宜恢1577具有特异性,综合得分较高,同时与属于类群Ⅰ的糯稻89-1亲缘关系较远,可将其作为轮回亲本,以耐寒水稻种质糯稻89-1为供体,培育高世代回交群体,通过分子标记辅助选择和鉴定,获得可用于育种和生产利用的耐寒资源。因此,综合考虑种质资源特性,有目的地聚合有利基因,可以培育和创造优良品种或资源,如本研究筛选到的176-6和176-15。

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Theoretical and Applied Genetics, 2010,121(3):475-487.

DOI:10.1007/s00122-010-1324-7      URL     PMID:20364375      [本文引用: 1]

Germplasm diversity is the mainstay for crop improvement and genetic dissection of complex traits. Understanding genetic diversity, population structure, and the level and distribution of linkage disequilibrium (LD) in target populations is of great importance and a prerequisite for association mapping. In this study, 100 genome-wide simple sequence repeat (SSR) markers were used to assess genetic diversity, population structure, and LD of 416 rice accessions including landraces, cultivars and breeding lines collected mostly in China. A model-based population structure analysis divided the rice materials into seven subpopulations. 63% of the SSR pairs in these accessions were in LD, which was mostly due to an overall population structure, since the number of locus pairs in LD was reduced sharply within each subpopulation, with the SSR pairs in LD ranging from 5.9 to 22.9%. Among those SSR pairs showing significant LD, the intrachromosomal LD had an average of 25-50 cM in different subpopulations. Analysis of the phenotypic diversity of 25 traits showed that the population structure accounted for an average of 22.4% of phenotypic variation. An example association mapping for starch quality traits using both the candidate gene mapping and genome-wide mapping strategies based on the estimated population structure was conducted. Candidate gene mapping confirmed that the Wx and starch synthase IIa (SSIIa) genes could be identified as strongly associated with apparent amylose content (AAC) and pasting temperature (PT), respectively. More importantly, we revealed that the Wx gene was also strongly associated with PT. In addition to the major genes, we found five and seven SSRs were associated with AAC and PT, respectively, some of which have not been detected in previous linkage mapping studies. The results suggested that the population may be useful for the genome-wide marker-trait association mapping. This new association population has the potential to identify quantitative trait loci (QTL) with small effects, which will aid in dissecting complex traits and in exploiting the rich diversity present in rice germplasm.

Wang C H, Zheng X M, Xu Q, et al.

Genetic diversity and classification of Oryza sativa with emphasis on Chinese rice germplasm

Heredity, 2014,112(5):489-496.

URL     PMID:24326293      [本文引用: 1]

赵璐, 杨治伟, 部丽群, .

宁夏和新疆水稻种质资源表型遗传多样性分析及综合评价

作物杂志, 2018(1):25-34.

[本文引用: 1]

张银平, 杜瑞成, 刁培松, .

山东省水稻免耕旱直播试验及可行性分析

农业工程学报, 2016,32(12):24-30.

URL     [本文引用: 1]

Brandolini A, Landi P, Monfredini G, et al.

Variation among Andean races of maize for cold tolerance during heterotrophic and early autotrophic growth

Euphytica, 2000,111(1):33-41.

DOI:10.1023/A:1003710431416      URL     [本文引用: 1]

Cold in the initial growth stages is an important stressfactor for maize grown in regions with a temperate climate,particularly in case of early sowing. Sources of tolerancehave been identified in adapted genotypes, but promisinggenes for cold tolerance should also be found in materialdeveloped under the lower-temperature margins of the cropdistribution. This research was conducted in order to testAndean maize accessions for cold tolerance expressed duringboth the heterotrophic and early autotrophic growth stages.Experiments were conducted in controlled environments tostudy cold tolerance traits (germination %, germinationindex and plant growth rate) at continuous 10°C (heterotrophic growth) and at varying 10–16°C (autotrophic growth). An experiment was also performed inthe field with early sowing (both heterotrophic and autotrophic growth). In each experiment, a control trialwas conducted in more favourable conditions (i.e. continuous25°C in a controlled environment or late planting inthe field) so that cold tolerance traits could also beexamined as the ratio between the stress and the controltrial. None of the accessions was superior for all coldtolerance traits. However, several Andean maize accessionsoutperformed the US Corn-belt hybrid checks for one or moretraits, both in heterotrophic and autotrophic growth. Overall, BOZM 855, PMS 636, Poblacion D, Poblacion E andBOZM 696 were the best accessions, suggesting that they canbe a promising source of genes for improving cold toleranceof adapted maize genotypes.]]>

Fujino K, Sekiguchi H, Sato T, et al.

Mapping of quantitative trait loci controlling low-temperature germinability in rice (Oryza sativa L.)

Theoretical and Applied Genetics, 2004,108(5):794-799.

DOI:10.1007/s00122-003-1509-4      URL     PMID:14624339      [本文引用: 1]

Low-temperature germination is one of the major determinants for stable stand establishment in the direct seeding method in temperate regions, and at high altitudes of tropical regions. Quantitative trait loci (QTLs) controlling low-temperature germinability in rice were identified using 122 backcross inbred lines (BILs) derived from a cross between temperate japonica varieties, Italica Livorno and Hayamasari. The germination rate at 15 degrees C was measured to represent low-temperature germination and used for QTL analysis. The germination rate at 15 degrees C for 7 days of Italica Livorno and Hayamasari was 98.7 and 26.8%, respectively, and that of BILs ranged from 0 to 83.3%. Using restriction fragment length polymorphism (RFLP) and simple sequence repeat (SSR) markers, we constructed a linkage map which corresponded to about 90% of the rice genome. Three putative QTLs associated with low-temperature germination were detected. The most effective QTL, qLTG-3-1 on chromosome 3, accounted for 35.0% of the total phenotypic variation for low-temperature germinability. Two additional QTLs, qLTG-3-2 on chromosome 3 and qLTG-4 on chromosome 4, were detected and accounted for 17.4 and 5.5% of the total phenotypic variation, respectively. The Italica Livorno alleles in all detected QTLs increased the low-temperature germination rate.

李霞, 戴传超, 程睿, .

不同生育期水稻耐冷性的鉴定及耐冷性差异的生理机制

作物学报, 2006,32(1):76-83.

URL     [本文引用: 1]

以粳稻9516、H45、武育粳、转PEPC基因水稻、Kitaake、苏沪香粳,籼稻扬稻6号、香籼、IR64,培矮64S以及杂交稻粤优938、汕优63、X07S/紫徽100、两优培九等14个水稻品种为材料,分别鉴定了芽期(胚根1 cm, 胚芽0.5 cm)、苗期(三叶)和孕穗期的耐冷性,同时选取南京对水稻播种敏感的自然低温条件,进行低温鉴定。结果表明,芽期存活率、苗期的枯死率和孕穗期结实率均为可靠的水稻耐冷性鉴定指标。进一步从叶片的光合速率、PSⅡ光化学效率(Fv/Fm)、脂肪酸组分、活性氧指标(丙二醛,过氧化氢和超氧阴离子和抗氧化物质(抗坏血酸和谷胱甘肽)的变化等方面,研究耐冷性不同的水稻的耐冷生理机制。表明耐冷的水稻品种武育粳含较多的不饱和脂肪酸,在低温逆境下,膜的流动性愈大,低温对其伤害愈小;对杂交稻汕优63而言,其叶内抵御逆境的保护系统抗坏血酸和谷胱甘肽的循环被较大地激活,特别是谷胱甘肽再生的高速运转,与不耐冷的品种香籼相比,汕优63叶内的过氧化物质累积较少,其耐冷性表现中等。看来水稻叶片维持高的脂肪酸不饱和指数和谷胱甘肽的周转循环能力是水稻耐冷的重要特征。]]>

郭涛, 王海凤, 薛芳, .

耐低温发芽水稻种质资源筛选

山东农业科学, 2020,52(1):37-41.

[本文引用: 1]

赵正武, 李仕贵, 雷树凡.

糯稻89-1越冬性遗传研究

中国农业科学, 2006,39(12):2399-2405.

URL     [本文引用: 1]

【目的】分析特异水稻种质糯稻89-1越冬性及主要农艺性状的遗传变异。【方法】(1)利用不同海拔高度,观察糯稻89-1各节位腋芽和稻秆在冬季的成活率。(2)用糯稻89-1与红芒糯、明恢63、辐恢838、测64杂交建立F1、F1与亲本回交群体和F2群体,分析越冬性及主要农艺性状在不同生长季的遗传变异。【结果】(1)糯稻89-1能通过腋芽休眠,抗御不同海拔高度的低温越冬,下年萌发再生。稻秆成活率和腋芽萌发率分别达82.6%,29%,越冬再生季产量为6291.0 kg&#8226;ha-1,与正季相当。(2)通过遗传分析和χ2检验表明:糯稻89-1的越冬性由多基因控制,其遗传力在不同杂交组合中表现不尽一致。(3)千粒重和株高具有较高的遗传力,正季最大,越冬再生季最小,每穗粒数和结实率在再生季的遗传力最大。(4)糯89-1/明恢63杂交F2穗平均总粒数、千粒重、株高和穗长呈正态分布,结实率呈双峰分布。【结论】糯稻89-1是一份能通过腋芽休眠抗御低温越冬的可利用特异稻种遗传资源。

王春萍, 雷开荣, 李正国, .

低温胁迫对水稻幼苗不同叶龄叶片叶绿素荧光特性的影响

植物资源与环境学报, 2012,21(3):38-43.

[本文引用: 1]

潘晓雪, 胡明瑜, 白文钦, .

糯稻89-1渗入系苗期耐寒鉴定及生理机制初步分析

分子植物育种, 2016,14(10):2798-2802.

[本文引用: 1]

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