小麦耐高温优异资源鉴定及其与农艺性状的关联分析

doi:10.3864/j.issn.0578-1752.2026.21.002

中国农业科学 ›› 2026, Vol. 59 ›› Issue (21): 4710-4728.doi: 10.3864/j.issn.0578-1752.2026.21.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

小麦耐高温优异资源鉴定及其与农艺性状的关联分析

尹晓康¹(), 冯佳宜¹(), 李栩慷¹, 张朝旭¹, 马驰¹, 王若禹¹, 白佳乾¹, 蓝罗冰¹, 张良凤¹, 刘易科², 朱展望², 丁富功², 刘大同³, 王书平¹(), 方正武¹(), 张迎新¹()

¹ 长江大学农学院/农业农村部长江中游作物绿色高效生产重点实验室/涝渍灾害与湿地农业湖北省重点实验室，湖北荆州 434025
² 湖北省农业科学院粮食作物研究所/粮食作物种质创新与遗传改良省重点实验室，武汉 430064
³ 江苏里下河地区农业科学研究所/农业农村部长江中下游小麦生物学与遗传育种重点实验室，江苏扬州 225007

收稿日期:2026-04-12 接受日期:2026-06-26 出版日期:2026-11-01 发布日期:2026-11-06
通信作者:
王书平，E-mail：wangshuping2003@126.com。
方正武，E-mail：fangzhengwu88@163.com。
张迎新，E-mail：zhangyingxin1985@126.com
联系方式: 尹晓康，E-mail：yin_xiaokang2004@126.com。冯佳宜，E-mail：fengjiayi420@163.com。尹晓康和冯佳宜为同等贡献作者。
基金资助:
国家重点研发计划(2024YFD1201100); 湖北省重点研发计划(2024BBB004); 粮食作物种质创新与遗传改良湖北省重点实验室开放课题(2024lzjj15); 涝渍灾害与湿地农业湖北省重点实验室开放课题(KFG202617)

Identification of Excellent High Temperature Tolerant Resources in Wheat and Their Association Analysis with Agronomic Traits

YIN XiaoKang¹(), FENG JiaYi¹(), LI XuKang¹, ZHANG ZhaoXu¹, MA Chi¹, WANG RuoYu¹, BAI JiaQian¹, LAN LuoBing¹, ZHANG LiangFeng¹, LIU YiKe², ZHU ZhanWang², DING FuGong², LIU DaTong³, WANG ShuPing¹(), FANG ZhengWu¹(), ZHANG YingXin¹()

¹ College of Agriculture, Yangtze University/Key Laboratory of Green and Efficient Crop Production in the Middle Reaches of the Yangtze River, Ministry of Agriculture and Rural Affairs/Hubei Key Laboratory of Waterlogging Disaster and Agricultural Use of Wetland, Jingzhou 434025, Hubei
² Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Wuhan 430064
³ Lixiahe Institute of Agricultural Sciences in Jiangsu Province/Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Yangzhou 225007, Jiangsu

Received:2026-04-12 Accepted:2026-06-26 Published:2026-11-01 Online:2026-11-06

1. 21尹晓康附表.pdf(176KB)

摘要/Abstract

摘要：

【目的】针对小麦灌浆期高温胁迫造成的小麦减产问题，明确不同基因型小麦品种灌浆期高温胁迫对植株表型、农艺性状、产量及其构成因素的影响，构建一套适合长江中下游冬麦区的小麦耐高温综合评价体系，筛选耐高温小麦品种，为小麦耐高温育种提供鉴定方法和优异的种质资源。【方法】以30个冬小麦品种为供试材料，在花后第7天分别设置高温处理组（日温38 ℃/夜温20 ℃处理7 d）和对照组（日温25 ℃/夜温20 ℃处理7 d），测定旗叶叶绿素相对含量（旗叶SPAD值）、丙二醛（MDA）、过氧化氢（H₂O₂）和超氧阴离子自由基（O₂^-·）含量，以及抗坏血酸过氧化物酶（APX）、过氧化物酶（POD）、超氧化物歧化酶（SOD）和过氧化氢酶（CAT）活性，收获后，测定粒长、粒宽、穗粒重、千粒重和单株产量。利用方差分析剔除无显著差异的指标，随后，利用耐高温系数（HTC）对原始数据进行标准化，采用主成分分析和隶属函数法计算综合评价值D，以评价小麦耐高温能力。最后，利用冗余分析（RDA）和逐步回归建立预测模型。【结果】灌浆期，高温胁迫对不同基因型小麦品种均造成了不同程度的叶片枯黄和籽粒皱缩。高温处理下各指标的变幅为-66.82%—210.07%，O₂^-·含量升幅最大（210.07%），APX活性降幅最大（-66.82%）。不同品种各指标的耐高温系数存在显著差异，变异系数为9.522%—115.003%，APX活性的变异系数最大（115.003%），粒宽的变异系数最小（9.522%）。对满足MSA值>0.5、KMO值≥0.6的7个指标进行主成分分析，生成4个新的相互独立的综合指标，包含82.814%的原始信息。进一步将隶属函数分析获得的综合评价值D进行聚类分析，将30个品种划分为3个类型，即耐高温型（5个）、中等耐高温型（12个）和高温敏感型（13个）。采用冗余分析和逐步回归建立小麦耐高温评价最优回归模型：D=-0.111+0.259X₈+0.136X₁₂+0.186X₂+0.111X₁+0.137X₁₁+0.12X₁₀，各品种的回归值（RV）与D值高度相关（r=0.996），确定了旗叶叶绿素相对含量（X₈）、单株产量（X₁₂）、POD活性（X₂）、APX活性（X₁）、千粒重（X₁₁）和穗粒重（X₁₀）可用于小麦耐高温性的重要评价指标。【结论】灌浆期高温胁迫显著影响了小麦的生长发育。采用主成分分析和聚类分析，筛选出5个耐高温型小麦品种。构建了适合于长江中下游麦区的小麦耐高温综合评价模型，可用于评价不同小麦品种灌浆期的耐高温特性。

关键词: 小麦, 灌浆期, 耐高温, 综合评价, 种质鉴定

Abstract:

【Objective】To address the wheat yield loss caused by high temperature stress during grain filling, this study was conducted to clarify the effects of post-anthesis high temperature stress on plant phenotype, agronomic traits, yield and yield components of different wheat genotypes, establish a comprehensive evaluation system for wheat high temperature tolerance suitable for winter wheat regions in the middle and lower reaches of the Yangtze River, screen out high temperature tolerant wheat varieties, and provide identification methods and high quality germplasm resources for wheat high temperature tolerance breeding. 【Method】30 winter wheat varieties were used as experimental materials. On the 7th day after anthesis, two treatments were set for 7 days respectively, including the high temperature treatment (38 ℃ daytime/20 ℃ nighttime) and the control treatment (25 ℃ daytime/20 ℃ nighttime). After treatment, the relative chlorophyll content (SPAD value) of flag leaves, activities of ascorbate peroxidase (APX), peroxidase (POD), superoxide dismutase (SOD) and catalase (CAT), as well as the contents of malondialdehyde (MDA), hydrogen peroxide (H₂O₂) and superoxide anion radical (O₂^-·) were measured. After harvest, grain length, grain width, grain weight per spike, thousand-grain weight and yield per plant were determined. Analysis of variance (ANOVA) was firstly adopted to eliminate indicators with no significant differences. All raw data were standardized by the high temperature tolerance coefficient (HTC). Principal component analysis (PCA) combined with the membership function method were performed to calculate the comprehensive D value for evaluating wheat high temperature tolerance. Redundancy analysis (RDA) and stepwise regression were finally used to construct the prediction model. 【Result】High temperature stress during grain filling stage caused varying degrees of leaf yellowing and grain shrinkage in all tested wheat genotypes. Under high temperature treatment, all index varied in the range of -66.82% to 210.07%, with the content of O₂^-· showing the greatest increase (210.07%) and APX activity showing the greatest decreased (-66.82%). Significant differences in HTC values were observed among different wheat cultivars, with coefficients of variation (CV) ranging from 9.522% to 115.003%. APX activity had the highest CV (115.003%), and grain width had the lowest CV (9.522%). PCA was performed on 7 indicators that met the criteria of MSA > 0.5 and KMO ≥ 0.6. 4 independent comprehensive new components were extracted, which explained 82.814% of the total variance in the original data. Furthermore, cluster analysis based on the comprehensive evaluation value D classified the 30 cultivars into three categories: 5 high temperature tolerant cultivars, 12 moderately high temperature tolerant cultivars, and 13 high temperature sensitive cultivars. The optimal regression model for wheat high temperature tolerance evaluation was established via redundancy analysis and stepwise regression: D=-0.111+0.259X₈+0.136X₁₂+0.186X₂+0.111X₁+0.137X₁₁+0.12X₁₀. The regression values (RV) of each variety were highly correlated with the D values (r=0.996). Flag leaf relative chlorophyll content (X₈), yield per plant (X₁₂), POD activity (X₂), APX activity (X₁), thousand-grain weight (X₁₁) and grain weight per spike (X₁₀) were identified as core indicators for evaluating wheat high temperature tolerance. 【Conclusion】High temperature stress during grain filling stage significantly constrained the growth and development of wheat. Using PCA and cluster analysis, 5 high temperature tolerant wheat cultivars were screened out. A comprehensive evaluation model for wheat high temperature tolerance applicable to the middle and lower reaches of the Yangtze River winter wheat was established, which can be effectively used to evaluate the high temperature tolerance of different wheat varieties at grain filling stage.

Key words: Triticum aestivum L., grain filling stage, high temperature tolerance, comprehensive evaluation, germplasm identification

尹晓康, 冯佳宜, 李栩慷, 张朝旭, 马驰, 王若禹, 白佳乾, 蓝罗冰, 张良凤, 刘易科, 朱展望, 丁富功, 刘大同, 王书平, 方正武, 张迎新. 小麦耐高温优异资源鉴定及其与农艺性状的关联分析[J]. 中国农业科学, 2026, 59(21): 4710-4728.

YIN XiaoKang, FENG JiaYi, LI XuKang, ZHANG ZhaoXu, MA Chi, WANG RuoYu, BAI JiaQian, LAN LuoBing, ZHANG LiangFeng, LIU YiKe, ZHU ZhanWang, DING FuGong, LIU DaTong, WANG ShuPing, FANG ZhengWu, ZHANG YingXin. Identification of Excellent High Temperature Tolerant Resources in Wheat and Their Association Analysis with Agronomic Traits[J]. Scientia Agricultura Sinica, 2026, 59(21): 4710-4728.

图/表 10

表1

图1

图2

表2

不同小麦品种各单项指标的耐高温系数"

品种Variety	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂
楚襄40 Chuxiang 40	0.051	0.374	1.084	0.992	0.790	1.100	1.774	0.410	1.267	0.495	0.674	0.424
楚襄1588 Chuxiang1588	0.404	0.076	0.967	1.172	1.358	0.876	1.159	0.432	0.861	0.431	0.590	0.503
襄麦2305 Xiangmai 2305	0.510	0.182	0.936	0.910	0.557	0.837	0.506	0.687	0.841	0.499	0.449	0.367
华麦216 Huamai 216	0.210	0.632	1.416	0.769	0.506	0.759	2.726	0.652	0.832	0.500	0.606	0.467
垦麦58 Kenmai 58	0.269	0.673	1.299	0.950	0.644	0.617	1.787	0.683	0.858	0.373	0.545	0.303
鄂麦017 Emai 017	0.187	0.696	0.994	0.908	0.346	0.931	3.104	0.751	0.761	0.470	0.487	0.321
鄂麦180 Emai180	0.231	0.768	1.274	0.825	0.413	0.832	1.493	0.922	0.989	0.711	0.962	0.875
长麦2号 Changmai 2	0.088	0.796	1.230	1.107	0.245	1.274	3.690	0.986	0.929	0.670	0.664	0.515
鄂麦229 Emai 229	0.658	0.612	1.051	0.976	0.671	1.109	1.709	0.937	0.903	0.432	0.685	0.378
长辐麦10号 Changfumai 10	0.050	0.670	1.306	0.873	1.162	2.251	3.396	0.655	0.944	0.612	0.754	0.510
H51995	0.055	0.681	1.714	0.826	1.066	1.638	4.077	0.887	0.932	0.478	0.664	0.435
鄂麦026 Emai 026	0.072	0.432	1.074	0.674	0.851	1.147	3.544	0.861	0.968	0.584	0.744	0.292
泰麦1号 Taimai 1	0.977	0.683	1.187	1.030	1.036	0.976	4.176	1.070	1.077	0.820	0.957	0.615
楚科316 Chuke 316	0.165	0.713	1.077	0.924	0.456	0.974	3.338	1.011	0.933	0.479	0.750	0.555
长麦007 Changmai 007	0.254	1.561	1.260	1.009	0.655	1.137	2.422	0.924	0.933	0.813	0.761	1.012
轮选112 Lunxuan112	0.102	0.217	0.935	0.827	0.685	1.078	1.604	0.962	0.973	0.865	0.823	0.906
创红麦2号 Chuanghongmai 2	0.038	0.766	1.199	0.834	0.538	1.731	5.338	0.834	0.853	0.708	0.583	0.826
华麦1913 Huamai 1913	1.159	0.776	1.274	0.977	0.553	1.112	1.697	0.994	0.935	0.460	0.691	0.460
华麦230 Huamai 230	0.093	1.974	1.279	0.843	0.780	1.009	6.323	0.910	0.950	0.470	0.764	0.352
鄂麦008 Emai 008	0.946	0.948	1.121	1.008	0.793	1.022	3.665	0.942	0.980	0.768	0.821	0.566
华麦243 Huamai 243	0.053	0.362	1.110	0.830	0.546	1.120	6.354	1.039	0.973	0.629	0.827	0.399
长辐麦8号 Changfumai 8	0.144	0.627	1.309	0.950	1.134	1.042	2.741	0.931	0.918	0.933	0.708	0.622
鄂810619 E810619	0.227	0.787	1.485	0.814	0.837	0.999	1.616	0.989	0.970	0.375	0.890	0.456
鄂麦235 Emai 235	1.118	0.498	0.958	1.024	1.046	1.315	3.467	0.757	0.886	0.698	0.865	0.698
襄麦2355 Xiangmai 2355	0.022	0.787	1.490	0.872	0.635	3.145	4.131	0.744	0.932	0.575	0.742	0.602
华麦2260 Huamai 2260	1.321	0.743	1.131	0.719	0.630	0.810	0.701	0.948	0.904	0.963	0.701	0.811
金广天麦2号Jinguangtianmai 2	0.065	0.561	1.186	1.110	0.690	2.393	3.079	0.843	0.848	0.241	0.423	0.212
长麦5号Changmai 5	0.036	0.379	1.101	1.139	0.555	4.139	2.742	0.873	0.974	0.610	0.761	0.560
鄂麦30 Emai 30	0.026	0.250	1.203	0.744	0.357	5.380	7.869	0.486	0.879	0.689	0.719	0.435
华麦1912 Huamai 1912	0.804	0.190	0.912	0.892	0.388	2.886	3.792	0.416	0.992	0.774	0.881	0.774
平均值Average	0.344	0.647	1.185	0.918	0.697	1.521	3.134	0.818	0.933	0.604	0.716	0.542
标准差STDEV	0.396	0.381	0.186	0.125	0.270	1.084	1.712	0.190	0.089	0.178	0.136	0.200
变异系数CV(%)	115.003	58.890	15.653	13.640	38.775	71.260	54.630	23.268	9.522	29.394	18.988	36.945

表2

表3

表4

表5

各参试品种综合指标值、权重、u(Xj)、D值、RV及综合评价"

品种 Variety	CI 1	CI 2	CI 3	CI 4	u1	u2	u3	u4	D值 D value	RV	综合评价 Comprehensive evaluation
楚襄40 Chuxiang 40	-1.069	-1.037	-1.049	0.385	0.258	0.269	0.121	0.591	0.274	0.280	高温敏感型High temperature-sensitive type
楚襄1588 Chuxiang1588	-1.105	-1.811	-0.256	0.543	0.248	0.095	0.332	0.626	0.254	0.261	高温敏感型High temperature-sensitive type
襄麦2305 Xiangmai 2305	-1.197	-1.425	0.910	0.535	0.224	0.182	0.643	0.624	0.319	0.329	高温敏感型High temperature-sensitive type
华麦216 Huamai 216	-0.844	0.374	-0.601	0.777	0.317	0.586	0.241	0.676	0.424	0.405	高温敏感型High temperature-sensitive type
垦麦58 Kenmai 58	-1.408	0.276	0.316	0.629	0.168	0.564	0.485	0.644	0.389	0.381	高温敏感型High temperature-sensitive type
鄂麦017 Emai 017	-1.226	-0.380	0.682	0.739	0.216	0.417	0.582	0.668	0.383	0.401	高温敏感型High temperature-sensitive type
鄂麦180 Emai180	1.367	0.501	-1.052	-0.659	0.903	0.615	0.120	0.364	0.634	0.632	中等耐高温型 Moderately high temperature-tolerant type
长麦2号Changmai 2	0.027	0.636	-0.099	-0.165	0.548	0.645	0.374	0.472	0.542	0.544	中等耐高温型 Moderately high temperature-tolerant type
鄂麦229 Emai 229	-0.393	-0.152	1.624	-0.564	0.437	0.468	0.833	0.385	0.504	0.516	中等耐高温型 Moderately high temperature-tolerant type
长辐麦10号Changfumai 10	-0.265	0.196	-1.097	0.102	0.470	0.546	0.108	0.530	0.442	0.435	高温敏感型High temperature-sensitive type
H51995	-0.718	1.684	-0.762	-0.296	0.350	0.881	0.198	0.443	0.498	0.459	中等耐高温型 Moderately high temperature-tolerant type
鄂麦026 Emai 026	-0.516	-0.214	0.097	-1.467	0.404	0.454	0.426	0.189	0.401	0.412	高温敏感型High temperature-sensitive type
泰麦1号Taimai 1	1.624	0.111	1.109	-1.124	0.971	0.527	0.696	0.263	0.718	0.715	耐高温型High temperature-tolerant type
楚科316 Chuke 316	-0.014	0.321	0.413	-0.922	0.537	0.574	0.511	0.307	0.521	0.537	中等耐高温型 Moderately high temperature-tolerant type
长麦007 Changmai 007	1.556	1.189	-0.799	2.265	0.953	0.770	0.188	1.000	0.779	0.786	耐高温型High temperature-tolerant type
轮选112 Lunxuan112	1.314	-1.002	-1.082	-1.084	0.889	0.277	0.113	0.272	0.514	0.530	中等耐高温型 Moderately high temperature-tolerant type
创红麦2号 Chuanghongmai 2	0.274	0.125	-1.033	1.313	0.613	0.530	0.126	0.793	0.528	0.529	中等耐高温型 Moderately high temperature-tolerant type
华麦1913 Huamai 1913	0.100	0.405	2.251	0.190	0.567	0.593	1.000	0.549	0.643	0.632	中等耐高温型 Moderately high temperature-tolerant type
华麦230 Huamai 230	-0.194	2.214	0.692	1.259	0.489	1.000	0.585	0.781	0.691	0.711	耐高温型High temperature-tolerant type
鄂麦008 Emai 008	1.083	0.046	1.284	0.292	0.828	0.513	0.742	0.571	0.691	0.696	耐高温型High temperature-tolerant type
华麦243 Huamai 243	0.065	0.077	0.037	-2.335	0.558	0.519	0.410	0.000	0.465	0.474	高温敏感型High temperature-sensitive type
长辐麦8号 Changfumai 8	0.725	0.318	-0.925	-0.002	0.733	0.574	0.154	0.507	0.568	0.556	中等耐高温型 Moderately high temperature-tolerant type
鄂810619 E810619	-0.123	1.494	0.079	-1.581	0.508	0.838	0.422	0.164	0.560	0.546	中等耐高温型 Moderately high temperature-tolerant type
鄂麦235 Emai 235	1.101	-1.252	1.050	0.094	0.833	0.221	0.680	0.528	0.590	0.599	中等耐高温型 Moderately high temperature-tolerant type
襄麦2355 Xiangmai 2355	-0.150	0.940	-1.273	0.287	0.501	0.714	0.062	0.570	0.503	0.483	中等耐高温型 Moderately high temperature-tolerant type
华麦2260 Huamai 2260	1.734	-0.589	1.304	1.509	1.000	0.370	0.748	0.836	0.750	0.741	耐高温型High temperature-tolerant type
金广天麦2号Jinguangtianmai 2	-2.041	0.317	0.884	0.047	0.000	0.573	0.636	0.518	0.331	0.335	高温敏感型High temperature-sensitive type
长麦5号Changmai 5	-0.005	-0.269	-0.545	-1.136	0.539	0.442	0.256	0.261	0.435	0.443	高温敏感型High temperature-sensitive type
鄂麦30 Emai 30	-0.575	-0.863	-1.505	-0.105	0.388	0.308	0.000	0.485	0.312	0.304	高温敏感型High temperature-sensitive type
华麦1912 Huamai 1912	0.874	-2.233	-0.655	0.474	0.772	0.000	0.226	0.611	0.432	0.440	高温敏感型High temperature-sensitive type
权重ω	0.431	0.306	0.160	0.103

表5

图3

图4

表6

参考文献 62

[1]	Yao Y Y, Guo W L, Gou J Y, Hu Z R, Liu J, Ma J, Zong Y, Xin M M, Chen W, Li Q, Wang Z H, Zhang R J, Uauy C, Baloch F S, Ni Z F, Sun Q X. Wheat2035: Integrating pan-omics and advanced biotechnology for future wheat design[J]. Molecular Plant, 2025, 18(2): 272-297. doi: 10.1016/j.molp.2025.01.005
[2]	Vogel E, Donat M G, Alexander L V, Meinshausen M, Ray D K, Karoly D, Meinshausen N, Frieler K. The effects of climate extremes on global agricultural yields[J]. Environmental Research Letters, 2019, 14(5): 054010. doi: 10.1088/1748-9326/ab154b
[3]	胡阳阳, 卢红芳, 刘卫星, 康娟, 马耕, 李莎莎, 褚莹莹, 王晨阳. 灌浆期高温与干旱胁迫对小麦籽粒淀粉合成关键酶活性及淀粉积累的影响[J]. 作物学报, 2018, 44(4): 591-600.
	Hu Y Y, Lu H F, Liu W X, Kang J, Ma G, Li S S, Chu Y Y, Wang C Y. Effects of high temperature and water deficiency during grain filling on activities of key starch synthesis enzymes and starch accumulation in wheat[J]. Acta Agronomica Sinica, 2018, 44(4): 591-600. (in Chinese) doi: 10.3724/SP.J.1006.2018.00591
[4]	潘石凤, 尹志聪, 段明铿, 韩婷婷, 范怡, 黄艳艳, 王会军. 长江中下游极端高温日数的季节预测[J]. 中国科学: 地球科学, 2024, 54(7): 2167-2177.
	Pan S F, Yin Z C, Duan M K, Han T T, Fan Y, Huang Y Y, Wang H J. Seasonal prediction of extreme high-temperature days over the Yangtze River basin[J]. Scientia Sinica (Terrae), 2024, 54(7): 2167-2177. (in Chinese)
[5]	高德荣, 张晓, 康建鹏, 别同德, 张伯桥, 张晓祥, 程顺和. 长江中下游麦区小麦迟播的不利影响及育种对策[J]. 麦类作物学报, 2014, 34(2): 279-283.
	Gao D R, Zhang X, Kang J P, Bie T D, Zhang B Q, Zhang X X, Cheng S H. Negative effects of late sowing on wheat production in middle and lower reaches of Yangtze River valley and breeding strategies[J]. Journal of Triticeae Crops, 2014, 34(2): 279-283. (in Chinese)
[6]	陶源, 赵凯敏, 代存虎, 刘明敏, 朱敏, 丁锦峰, 李春燕, 朱新开, 郭文善. 花后短暂高低温胁迫对小麦产量形成的影响及减灾调控[J]. 麦类作物学报, 2022, 42(12): 1557-1566.
	Tao Y, Zhao K M, Dai C H, Liu M M, Zhu M, Ding J F, Li C Y, Zhu X K, Guo W S. Effects of short-term low or high temperature stress after anthesis on yield formation and its regulation of disaster mitigation[J]. Journal of Triticeae Crops, 2022, 42(12): 1557-1566. (in Chinese)
[7]	Liu B, Zhang D Z, Zhang H X, Asseng S, Yin T W, Qiu X L, Ye Z, Liu L L, Tang L, Cao W X, Zhu Y. Separating the impacts of heat stress events from rising mean temperatures on winter wheat yield of China[J]. Environmental Research Letters, 2021, 16(12): 124035. doi: 10.1088/1748-9326/ac3870
[8]	Khanzada A, Yan K S, Hu W H, Malko M, Ali Khan K, Bao Y G, Elboughdiri N, Li Y. Heat stress response mechanisms and resilience strategies in wheat[J]. Journal of Agronomy and Crop Science, 2025, 211: e70023.
[9]	Sheikhi S, Ebrahimi A, Heidari P, Amerian M R, Rashidi-Monfared S, Alipour H. Exogenous 24-epibrassinolide ameliorates tolerance to high-temperature by adjusting the biosynthesis of pigments, enzymatic, non-enzymatic antioxidants, and diosgenin content in fenugreek[J]. Scientific Reports, 2023, 13: 6661. doi: 10.1038/s41598-023-33913-6 pmid: 37095206
[10]	卢奕霏, 顾迎港, 陈威, 王娜, 康珍, 侯泽豪, 张迎新, 方正武, 马东方, 刘易科, 朱展望, 张改生, 王书平. 高温胁迫对小麦花药活性氧代谢的影响[J]. 麦类作物学报, 2020, 40(4): 488-493.
	Lu Y F, Gu Y G, Chen W, Wang N, Kang Z, Hou Z H, Zhang Y X, Fang Z W, Ma D F, Liu Y K, Zhu Z W, Zhang G S, Wang S P. Effect of high-temperature stress on reactive oxygen metabolism of wheat anther[J]. Journal of Triticeae Crops, 2020, 40(4): 488-493. (in Chinese)
[11]	郑甲成, 尤依锦, 刘婷, 徐祥, 李杰勤, 王歆, 程昕昕, 许峰, 詹秋文. 花期高温胁迫下TaERECTA基因对小麦生理特性和光合作用的影响[J]. 麦类作物学报, 2019, 39(1): 35-41.
	Zheng J C, You Y J, Liu T, Xu X, Li J Q, Wang X, Cheng X X, Xu F, Zhan Q W. Effect of TaERECTA on physiological traits and photosynthesis in wheat under high-temperature stress at anthesis[J]. Journal of Triticeae Crops, 2019, 39(1): 35-41. (in Chinese)
[12]	Du K Q, Huang J X, Wang W, Zeng Y L, Li X C, Zhao F. Monitoring low-temperature stress in winter wheat using TROPOMI solar-induced chlorophyll fluorescence[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 4402111.
[13]	Liu X R, Zhao Y Q, Zhang J W, Tang G J, Zhu W Y, Shi X Y, Chao M N, Chen J, Zhang L Q, Zhang Y Z, Sun F L, Xi Y J, Zhang C. Wheat source-sink metabolic network dynamics during grain filling under drought-heat combined stress[J]. Journal of Agricultural and Food Chemistry, 2025, 73(11): 7003-7018. doi: 10.1021/acs.jafc.5c00721 pmid: 40042217
[14]	谌怡锦. 利用全基因组关联分析鉴定小麦穗部相关性状位点及其耐热性分析[D]. 杨凌: 西北农林科技大学, 2023.
	Chen Y J. Identification of spike related trait loci and analysis of heat tolerance in wheat by genome-wide association study[D]. Yangling: Northwest A & F University, 2023. (in Chinese)
[15]	王小波, 关攀锋, 辛明明, 汪永法, 陈希勇, 赵爱菊, 刘曼双, 李红霞, 张明义, 逯腊虎, 魏亦勤, 刘旺清, 张金波, 倪中福, 姚颖垠, 胡兆荣, 彭惠茹, 孙其信. 小麦种质资源耐热性评价[J]. 中国农业科学, 2019, 52(23): 4191-4200. DOI: 10.3864/j.issn.0578-1752.2019.23.001.
	Wang X B, Guan P F, Xin M M, Wang Y F, Chen X Y, Zhao A J, Liu M S, Li H X, Zhang M Y, Lu L H, Wei Y Q, Liu W Q, Zhang J B, Ni Z F, Yao Y Y, Hu Z R, Peng H R, Sun Q X. Evaluation of heat tolerance in wheat germplasm resources[J]. Scientia Agricultura Sinica, 2019, 52(23): 4191-4200. DOI: 10.3864/j.issn.0578-1752.2019.23.001. (in Chinese)
[16]	马晨晨, 梁小菡, 张前进, 叶飞宇, 庞芸芸, 张新, 鲁晓民, 曹丽茹. 玉米杂交种及其亲本自交系耐高温性综合分析[J]. 江苏农业科学, 2025, 53(13): 80-89.
	Ma C C, Liang X H, Zhang Q J, Ye F Y, Pang Y Y, Zhang X, Lu X M, Cao L R. Comprehensive analysis of high temperature tolerance of maize hybrids and their parent inbred lines[J]. Jiangsu Agricultural Sciences, 2025, 53(13): 80-89. (in Chinese)
[17]	王洋. 小麦对灌浆期高温胁迫的生理响应和转录组分析[D]. 杨凌: 西北农林科技大学, 2025.
	Wang Y. Physiological response and transcriptome analysis of wheat to high temperature stress at grain filling stage[D]. Yangling: Northwest A & F University, 2025. (in Chinese)
[18]	李贵全, 张海燕, 季兰, 赵二开, 刘建兵, 李玲, 张家蓉. 不同大豆品种抗旱性综合评价[J]. 应用生态学报, 2006, 17(12): 2408-2412.
	Li G Q, Zhang H Y, Ji L, Zhao E K, Liu J B, Li L, Zhang J R. Comprehensive evaluation on drought-resistance of different soybean varieties[J]. Chinese Journal of Applied Ecology, 2006, 17(12): 2408-2412. (in Chinese)
[19]	王伟伟, 王伟, 邹景伟, 于亮, 王志, 王奉芝, 陆莉, 钮力亚. 小麦耐盐性综合评价方法的研究进展[J]. 现代农业研究, 2022, 28(7): 111-113.
	Wang W W, Wang W, Zou J W, Yu L, Wang Z, Wang F Z, Lu L, Niu L Y. Comprehensive evaluation methods of salt tolerance on research process in wheat[J]. Modern Agriculture Research, 2022, 28(7): 111-113. (in Chinese)
[20]	方保停, 李向东, 邵运辉, 王汉芳, 岳俊芹, 张德奇, 杨程, 秦峰. 黄淮麦区冬小麦品种耐热性比较研究[J]. 河南农业科学, 2019, 48(7): 19-23.
	Fang B T, Li X D, Shao Y H, Wang H F, Yue J Q, Zhang D Q, Yang C, Qin F. Comparative study on heat tolerance of winter wheat cultivars in Huang-Huai Region[J]. Journal of Henan Agricultural Sciences, 2019, 48(7): 19-23. (in Chinese)
[21]	王洋, 郭绪雨, 孙志伟, 史张鹏, 赵越, 周昊, 邵磊磊, 王海容, 牛娜, 马翎健. 不同小麦材料灌浆期耐热性分析及综合评价[J]. 西北农业学报, 2025, 34(12): 2190-2201.
	Wang Y, Guo X Y, Sun Z W, Shi Z P, Zhao Y, Zhou H, Shao L L, Wang H R, Niu N, Ma L J. Analysis and comprehensive evaluation of heat-resistant of different wheat materials at grain filling stage[J]. Acta Agriculturae Boreali-occidentalis Sinica, 2025, 34(12): 2190-2201. (in Chinese)
[22]	赵鹏, 王晓明, 刘曼双, 许盛宝. 小麦种质资源耐热性评估研究进展[J]. 麦类作物学报, 2021, 41(5): 569-576.
	Zhao P, Wang X M, Liu M S, Xu S B. Research progress on evaluating methods of heat tolerance in wheat germplasm resources[J]. Journal of Triticeae Crops, 2021, 41(5): 569-576. (in Chinese)
[23]	李敏, 苏慧, 李阳阳, 李金鹏, 李金才, 朱玉磊, 宋有洪. 黄淮海麦区小麦耐热性分析及其鉴定指标的筛选[J]. 中国农业科学, 2021, 54(16): 3381-3393. DOI: 10.3864/j.issn.0578-1752.2021.16.002.
	Li M, Su H, Li Y Y, Li J P, Li J C, Zhu Y L, Song Y H. Analysis of heat tolerance of wheat with different genotypes and screening of identification indexes in Huang-Huai-Hai Region[J]. Scientia Agricultura Sinica, 2021, 54(16): 3381-3393. DOI: 10.3864/j.issn.0578-1752.2021.16.002. (in Chinese)
[24]	王红盼, 熊肖, 蔡海亚, 刘刚, 张硕, 何永刚, 焦春海, 徐乐, 徐延浩. 灌浆期高温对小麦籽粒粒型的影响及耐高温性评价[J]. 江苏农业科学, 2023, 51(12): 78-85.
	Wang H P, Xiong X, Cai H Y, Liu G, Zhang S, He Y G, Jiao C H, Xu L, Xu Y H. Impact of heat stress at filling stage on grain shape of wheat and heat tolerance comprehensive evaluation[J]. Jiangsu Agricultural Sciences, 2023, 51(12): 78-85. (in Chinese)
[25]	刘秀坤, 韩冉, 李晓明, 解树斌, 李法计, 陈亚鹏, 翟胜男, 李豪圣, 刘建军, 赵振东, 张玉梅, 曹新有. 灌浆期小麦旗叶在高温胁迫下的转录组分析[J]. 山东农业科学, 2022, 54(10): 1-10, 16.
	Liu X K, Han R, Li X M, Xie S B, Li F J, Chen Y P, Zhai S N, Li H S, Liu J J, Zhao Z D, Zhang Y M, Cao X Y. Transcriptome analysis of wheat flag leaves under high temperature stress at grain filling stage[J]. Shandong Agricultural Sciences, 2022, 54(10): 1-10, 16. (in Chinese)
[26]	邵从本, 罗广华, 王爱国, 郭俊彦. 几种检测超氧物歧化酶活性反应的比较[J]. 植物生理学通讯, 1983, 19(5): 46-49.
	Shao C B, Luo G H, Wang A G, Guo J Y. Comparison of several reactions for detecting superoxide dismutase activity[J]. Plant Physiology Communications, 1983, 19(5): 46-49. (in Chinese)
[27]	王爱国, 罗广华. 植物的超氧物自由基与羟胺反应的定量关系[J]. 植物生理学通讯, 1990, 26(6): 55-57.
	Wang A G, Luo G H. Quantitative relation between the reaction of hydroxylamine and superoxide anion radicals in plants[J]. Plant Physiology Communications, 1990, 26(6): 55-57. (in Chinese)
[28]	赵猛, 毕焕改, 孟令浩, 姜婷婷, 张晓伟, 艾希珍. 低温循环诱导的胁迫记忆调控黄瓜耐冷性机制[J]. 中国农业科学, 2024, 57(24): 4933-4944. DOI: 10.3864/j.issn.0578-1752.2024.24.009.
	Zhao M, Bi H G, Meng L H, Jiang T T, Zhang X W, Ai X Z. The regulatory mechanism of cold circulation induction stress memory in chilling tolerance in cucumber[J]. Scientia Agricultura Sinica, 2024, 57(24): 4933-4944. DOI: 10.3864/j.issn.0578-1752.2024.24.009. (in Chinese)
[29]	Patterson B D, MacRae E A, Ferguson I B. Estimation of hydrogen peroxide in plant extracts using titanium (IV)[J]. Analytical Biochemistry, 1984, 139(2): 487-492. doi: 10.1016/0003-2697(84)90039-3 pmid: 6476384
[30]	Ahmad S, Sehrish A K, Ai F X, Zong X Y, Alomrani S O, Al-Ghanim K A, Ali Alshehri M, Ali S, Guo H Y. Morphophysiological, biochemical, and nutrient response of spinach (Spinacia oleracea L.) by foliar CeO₂ nanoparticles under elevated CO₂[J]. Scientific Reports, 2024, 14: 25361. doi: 10.1038/s41598-024-76875-z
[31]	Rajarathinam A, Ramji M. Statistical Modeling for Soil Attributes[M]. New Delhi, India: BP International, 2023: 85-108.
[32]	Liu J P, Wang K, Wang G N, Peng Z, Wang T, Meng Y, Huang J L, Huo J H, Li X, Zhu X Q, Xu F Y, Zhang Q, Wang Z R, Chen H, Wang Y, Xu W F. The OsEBF1-OsEIL5-OsPP91 module regulates rice heat tolerance via ubiquitination and transcriptional activation[J]. Cell Reports, 2025, 44(2): 115271. doi: 10.1016/j.celrep.2025.115271
[33]	汪明华. 耐高温大豆种质资源筛选及响应高温胁迫的蛋白组学分析[D]. 合肥: 安徽农业大学, 2019.
	Wang M H. Screening of high temperature resistant soybean germplasm resources and proteomic analysis in response to high temperature stress[D]. Hefei: Anhui Agricultural University, 2019. (in Chinese)
[34]	Alhaj Hamoud Y, Noman M, Yang X, Ahmed T, Alwutayd K M, Qin H J, Shaghaleh H. Integrated multi-omics and transcriptomic analysis reveals key regulatory networks of heat stress responses in potato[J]. Plant Physiology and Biochemistry, 2025, 228: 110204. doi: 10.1016/j.plaphy.2025.110204
[35]	唐宇, 雷毕欣, 王传伟, 严轩韬, 王浩, 郑杰, 张文静, 马尚宇, 黄正来, 樊永惠. 彩色小麦花青素积累对花后高温胁迫的响应机理[J]. 中国农业科学, 2025, 58(6): 1083-1101. DOI: 10.3864/j.issn.0578-1752.2025.06.004.
	Tang Y, Lei B X, Wang C W, Yan X T, Wang H, Zheng J, Zhang W J, Ma S Y, Huang Z L, Fan Y H. Response mechanism of anthocyanin accumulation in colored wheat to post-anthesis high temperature stress[J]. Scientia Agricultura Sinica, 2025, 58(6): 1083-1101. DOI: 10.3864/j.issn.0578-1752.2025.06.004. (in Chinese)
[36]	鲁海琴, 陈丽, 陈磊, 张盈川, 文静, 易斌, 涂金星, 傅廷栋, 沈金雄. Bna-novel-miR311-HSC70-1模块调控甘蓝型油菜响应热胁迫的机制[J]. 作物学报, 2020, 46(10): 1474-1484. doi: 10.3724/SP.J.1006.2020.04014
	Lu H Q, Chen L, Chen L, Zhang Y C, Wen J, Yi B, Tu J X, Fu T D, Shen J X. Mechanism research of Bna-novel-miR311-HSC70-1 module regulating heat stress response in Brassica napus L.[J]. Acta Agronomica Sinica, 2020, 46(10): 1474-1484. (in Chinese) doi: 10.3724/SP.J.1006.2020.04014
[37]	Luo A N, Yang C, Yao Z W, Zhang L L, Ye H X, Xu J H, Lu H P, Liu J X. Transcription factors ERF74/77/108/125 enhance thermotolerance in rice by regulating common and distinct heat-responsive gene expression[J]. Plant Biotechnology Journal, 2025, 23(10): 4539-4551. doi: 10.1111/pbi.v23.10
[38]	齐学礼, 赵明忠, 尹文生, 李莹, 郭瑞, 焦竹青, 张煜. 小麦耐高温特性的生理机制与基因挖掘研究进展[J]. 南方农业学报, 2022, 53(10): 2885-2893.
	Qi X L, Zhao M Z, Yin W S, Li Y, Guo R, Jiao Z Q, Zhang Y. Physiological mechanism and gene discovery for high temperature tolerance of wheat: A review[J]. Journal of Southern Agriculture, 2022, 53(10): 2885-2893. (in Chinese)
[39]	付丽军, 李聪晓, 苏胜宇, 李玉华, 周禹. 黄瓜苗期耐热种质筛选与耐热性评价体系构建[J]. 植物生理学报, 2020, 56(7): 1593-1604.
	Fu L J, Li C X, Su S Y, Li Y H, Zhou Y. Screening of cucumber germplasms in seedling stage and the construction of evaluation system for heat tolerance[J]. Plant Physiology Journal, 2020, 56(7): 1593-1604. (in Chinese)
[40]	张英华, 杨佑明, 曹莲, 郝杨凡, 黄菁, 李金鹏, 姚得秀, 王志敏. 灌浆期高温对小麦旗叶与非叶器官光合和抗氧化酶活性的影响[J]. 作物学报, 2015, 41(1): 136-144.
	Zhang Y H, Yang Y M, Cao L, Hao Y F, Huang J, Li J P, Yao D X, Wang Z M. Effect of high temperature on photosynthetic capability and antioxidant enzyme activity of flag leaf and non-leaf organs in wheat[J]. Acta Agronomica Sinica, 2015, 41(1): 136-144. (in Chinese) doi: 10.3724/SP.J.1006.2015.00136
[41]	黄松, 黄岩, 杨战峰, 张天海, 孙君艳. 灌浆期高温胁迫对豫南稻茬麦区小麦灌浆速率及籽粒品质的影响[J]. 江苏农业科学, 2023, 51(18): 88-93.
	Huang S, Huang Y, Yang Z F, Zhang T H, Sun J Y. Influences of high temperature stress during grain filling period on grain filling rate and grain quality of wheat in rice stubble area of southern Henan[J]. Jiangsu Agricultural Sciences, 2023, 51(18): 88-93. (in Chinese)
[42]	Al-Ashkar I, Sallam M, Ghazy A, Ibrahim A, Alotaibi M, Ullah N, Al-Doss A. Agro-physiological indices and multidimensional analyses for detecting heat tolerance in wheat genotypes[J]. Agronomy, 2023, 13(1): 154. doi: 10.3390/agronomy13010154
[43]	刘振山. 小麦苗期干旱、高温和旱热共胁迫转录表达谱及ABD部分同源基因表达分化分析[D]. 北京: 中国农业大学, 2015.
	Liu Z S. Transcriptome profiling and differential homeologous genes[D]. Beijing: China Agricultural University, 2015. (in Chinese)
[44]	晁漫宁. 干旱、高温及其互作对灌浆期小麦籽粒发育的影响解析[D]. 杨凌: 西北农林科技大学, 2020.
	Chao M N. Analysis of the effects of drought, high temperature and their interaction on the grain development of wheat during filling stage[D]. Yangling: Northwest A & F University, 2020. (in Chinese)
[45]	Arenas-M A, Castillo F M, Godoy D, Canales J, Calderini D F. Transcriptomic and physiological response of durum wheat grain to short-term heat stress during early grain filling[J]. Plants, 2022, 11(1): 59. doi: 10.3390/plants11010059
[46]	王维领. 外源水杨酸对小麦高温胁迫的缓解效应及其生理机制[D]. 南京: 南京农业大学, 2015.
	Wang W L. Alleviated effects of exogenous sa on high temperature stress and the underling physiological mechanisms in wheat[D]. Nanjing: Nanjing Agricultural University, 2015. (in Chinese)
[47]	杨毅, 李昱, 康建宏, 刘萍. 花后高温胁迫对春小麦籽粒淀粉合成的影响[J]. 麦类作物学报, 2015, 35(11): 1535-1541.
	Yang Y, Li Y, Kang J H, Liu P. Effect of heat stress after anthesis on starch synthesis in spring wheat[J]. Journal of Triticeae Crops, 2015, 35(11): 1535-1541. (in Chinese)
[48]	李敏, 赖晨骏, 李金鹏, 李金才, 朱玉磊, 宋有洪. 灌浆期高温对冬小麦叶源与粒库生理特征的影响[J]. 麦类作物学报, 2022, 42(12): 1567-1574.
	Li M, Lai C J, Li J P, Li J C, Zhu Y L, Song Y H. Effect of high temperature during grain filling stage on physiological properties of both leaf source and grain sink in winter wheat[J]. Journal of Triticeae Crops, 2022, 42(12): 1567-1574. (in Chinese)
[49]	封超年, 郭文善, 施劲松, 彭永欣, 朱新开. 小麦花后高温对籽粒胚乳细胞发育及粒重的影响[J]. 作物学报, 2000, 26(4): 399-405.
	Feng C N, Guo W S, Shi J S, Peng Y X, Zhu X K. Effect of high temperature after anthesis on endosperm cell development and grain weight in wheat[J]. Acta Agronomica Sinica, 2000, 26(4): 399-405. (in Chinese)
[50]	刘希伟, 王德梅, 王艳杰, 杨玉双, 赵广才, 常旭虹. 小麦生育中后期干旱高温对籽粒产量形成过程的影响机制及缓解措施[J]. 作物杂志, 2023(6): 17-25.
	Liu X W, Wang D M, Wang Y J, Yang Y S, Zhao G C, Chang X H. Impacts mechanism of drought and heat stress in the middle and late growing period on wheat grain yield formation process and mitigation measures[J]. Crops, 2023(6): 17-25. (in Chinese)
[51]	王松峰, 王永霞, 郭瑞. 小麦耐热性研究进展[J]. 大麦与谷类科学, 2024, 41(5): 1-7.
	Wang S F, Wang Y X, Guo R. Research progress in heat tolerance of wheat[J]. Barley and Cereal Sciences, 2024, 41(5): 1-7. (in Chinese)
[52]	Zou L F, Shao D G, Zha Y Y, Diao Y Q, Chen S, Gu W Q. Agricultural irrigation exacerbates humid heat stress in the mid-lower reaches of the Yangtze River[J]. Geophysical Research Letters, 2024, 51(21): e2024GL110818.
[53]	Jiang T C, He L, Feng H, He J Q, Yu Q. Understanding the impacts of extreme temperature and humidity compounds on winter wheat traits in China[J]. Agricultural and Forest Meteorology, 2025, 362: 110354. doi: 10.1016/j.agrformet.2024.110354
[54]	Wang X H, Qian L, Dong C Y, Tang R. Evaluating the impacts of waterlogging disasters on wheat and maize yields in the middle and Lower Yangtze River Region, China, by an agrometeorological index[J]. Agronomy, 2023, 13(10): 2590. doi: 10.3390/agronomy13102590
[55]	Zheng Y L, Cai Z Y, Wang Z, Maruza T M, Zhang G P. The genetics and breeding of heat stress tolerance in wheat: Advances and prospects[J]. Plants, 2025, 14(2): 148. doi: 10.3390/plants14020148
[56]	李宇星, 马亮亮, 张月, 秦博雅, 张文静, 马尚宇, 黄正来, 樊永惠. 外源海藻糖对灌浆期高温胁迫下小麦旗叶生理特性和产量的影响[J]. 作物学报, 2023, 49(8): 2210-2224. doi: 10.3724/SP.J.1006.2023.21057
	Li Y X, Ma L L, Zhang Y, Qin B Y, Zhang W J, Ma S Y, Huang Z L, Fan Y H. Effects of exogenous trehalose on physiological characteristics and yield of wheat flag leaves under high temperature stress at grain filling stage[J]. Acta Agronomica Sinica, 2023, 49(8): 2210-2224. (in Chinese) doi: 10.3724/SP.J.1006.2023.21057
[57]	Semwal V K, Khanna-Chopra R. Developing grains influence terminal senescence and heat stress response by regulating oxidative stress and defense in wheat flag leaves. Research Square, 2023. https://doi.org/10.21203/rs.3.rs-3227463/v1.
[58]	戎亚思, 李丰, 张鹏钰, 王东勇, 苏小雨, 田媛, 高桐梅. 基于主成分-聚类分析芝麻盛花期耐高温评价及品种筛选[J]. 中国农业科学, 2024, 57(20): 3957-3973. DOI: 10.3864/j.issn.0578-1752.2024.20.002.
	Rong Y S, Li F, Zhang P Y, Wang D Y, Su X Y, Tian Y, Gao T M. Evaluation of high temperature tolerance and selection of sesame (Sesamum indicum L.) cultivars at full flowering stage based on principal components-cluster analysis[J]. Scientia Agricultura Sinica, 2024, 57(20): 3957-3973. DOI: 10.3864/j.issn.0578-1752.2024.20.002. (in Chinese)
[59]	靳路真, 王洋, 张伟, 邱红梅, 陈健, 候云龙, 马晓萍, 王跃强, 谢甫绨. 大豆品种(系)耐热性鉴定及分级评鉴[J]. 中国油料作物学报, 2016, 38(1): 77-87.
	Jin L Z, Wang Y, Zhang W, Qiu H M, Chen J, Hou Y L, Ma X P, Wang Y Q, Xie F T. Grading evaluation on heat-tolerance in soybean and identification of heat-tolerant cultivars[J]. Chinese Journal of Oil Crop Sciences, 2016, 38(1): 77-87. (in Chinese)
[60]	牛丽, 刘源, 于康珂, 刘荣花, 李潮海, 刘天学. 玉米杂交种苗期耐热性评价[J]. 玉米科学, 2015, 23(1): 107-114.
	Niu L, Liu Y, Yu K K, Liu R H, Li C H, Liu T X. Evaluation of heat-tolerance of maize hybrids at seedling stage[J]. Journal of Maize Sciences, 2015, 23(1): 107-114. (in Chinese)
[61]	任茂, 张文英. 棉花品种耐热性分析及鉴定指标筛选[J]. 核农学报, 2018, 32(4): 788-794. doi: 10.11869/j.issn.100-8551.2018.04.0788
	Ren M, Zhang W Y. Evaluation of heat tolerance and screening the index for the assessment of heat tolerance in upland cotton[J]. Journal of Nuclear Agricultural Sciences, 2018, 32(4): 788-794. (in Chinese) doi: 10.11869/j.issn.100-8551.2018.04.0788
[62]	谈静如, 胡齐赞, 岳智臣, 陶鹏, 雷娟利, 李必元, 赵彦婷, 臧运祥. 基于叶绿素荧光参数的苗用型大白菜耐热性综合评价体系[J]. 浙江农业学报, 2025, 37(2): 288-299. doi: 10.3969/j.issn.1004-1524.20240151
	Tan J R, Hu Q Z, Yue Z C, Tao P, Lei J L, Li B Y, Zhao Y T, Zang Y X. Comprehensive evaluation system for heat tolerance of seedling- edible Chinese cabbage (Brassica rapa L. ssp.) based on chlorophyll fluorescence parameters[J]. Acta Agriculturae Zhejiangensis, 2025, 37(2): 288-299. (in Chinese)

性状 Trait	对照Control	高温处理High temperature treatment	变幅 Range (%)
性状 Trait	均值±标准差Mean±SD	均值±标准差Mean±SD	变幅 Range (%)
超氧化物歧化酶活性SOD activity (U·g^-1·h^-1)	761.88±65.36b	896.18±108.88a	17.63
过氧化物酶活性POD activity (U·g^-1·min^-1)	361.79±76.06a	217.17±87.66b	-39.97
过氧化氢酶活性CAT activity (U·g^-1·min^-1)	593.87±62.71a	539.44±49.96b	-9.17
抗坏血酸过氧化物酶活性APX activity (U·g^-1)	2.20±1.19a	0.73±0.96b	-66.82
丙二醛含量MDA content (μmol·g^-1)	29.73±5.89b	42.16±23.80a	41.81
过氧化氢含量H₂O₂ content (μmol·g^-1)	5.53±2.06a	3.80±1.95b	-31.28
超氧阴离子自由基含量O₂^-· content (μg·g^-1)	22.74±7.96b	70.51±43.12a	210.07
旗叶叶绿素相对含量Flag leaf SPAD	56.33±4.16a	46.40±12.51b	-17.63
穗粒重Grain weight per spike (g)	1.14±0.30a	0.66±0.17b	-42.11
粒长Grain length (mm)	5.97±0.45a	6.04±0.39a	1.27
粒宽Grain width (mm)	2.73±0.26a	2.53±0.22b	-7.22
千粒重Thousand-grain weight (g)	37.27±7.15a	26.57±7.02b	-28.71
单株产量Yield per plant (g)	4.46±1.23a	2.29±0.73b	-48.65

变量筛选阶段 Screening stage	Measure of Sampling Adequacy度量值 Measure of Sampling Adequacy measurement value												Kaiser-Meyer-Olkin度量值 Kaiser-Meyer-Olkin measurement value	Bartlett球形度检验 Bartlett’s sphericity test
变量筛选阶段 Screening stage	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁	X₁₂		Bartlett球形度检验 Bartlett’s sphericity test
Bef.	0.452	0.411	0.380	0.209	0.199	0.379	0.337	0.350	0.290	0.449	0.434	0.384	0.37	<0.001
Aft.	0.702	0.558	0.583	-	-	-	-	0.633	-	0.643	0.819	0.628	0.65	<0.001

主成分Principle factor		CI 1	CI 2	CI 3	CI 4
特征值Eigen value		2.499	1.772	0.929	0.597
贡献率Contribution ratio (%)		35.705	25.316	13.269	8.523
累计贡献率Cumulative contribution ratio (%)		35.705	61.022	74.291	82.814
特征向量Eigen vector	X₁	0.302	-0.246	0.726	0.245
	X₂	0.150	0.587	0.173	0.552
	X₃	-0.062	0.604	-0.274	0.042
	X₈	0.280	0.438	0.415	-0.462
	X₁₀	0.541	-0.158	-0.244	0.128
	X₁₁	0.481	0.069	-0.132	-0.549
	X₁₂	0.530	-0.088	-0.345	0.320

变量Variable	B	β	t	P	VIF
	-0.111	0.000	-6.572	<0.001	-
X₈	0.259	0.348	15.300	<0.001	1.380
X₁₂	0.136	0.193	6.122	<0.001	2.641
X₂	0.186	0.499	22.634	<0.001	1.298
X₁	0.111	0.309	15.111	<0.001	1.118
X₁₁	0.137	0.131	5.491	<0.001	1.526
X₁₀	0.120	0.150	4.692	<0.001	2.726

小麦耐高温优异资源鉴定及其与农艺性状的关联分析

Identification of Excellent High Temperature Tolerant Resources in Wheat and Their Association Analysis with Agronomic Traits

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