Journal of Agriculture ›› 2022, Vol. 12 ›› Issue (8): 6-9.doi: 10.11923/j.issn.2095-4050.cjas2020-0265
Previous Articles Next Articles
NIU Liya(), YU Liang, ZHANG Yujie, ZOU Jingwei, LU Li, WANG Fengzhi, WANG Weiwei(
)
Received:
2020-12-03
Revised:
2021-03-04
Online:
2022-08-20
Published:
2022-09-22
Contact:
WANG Weiwei
E-mail:niuliya1978@163.com;897069172@qq.com
CLC Number:
NIU Liya, YU Liang, ZHANG Yujie, ZOU Jingwei, LU Li, WANG Fengzhi, WANG Weiwei. Correlation Degree Between Water Stress and Wheat Yield Traits and Grain Bulk Density[J]. Journal of Agriculture, 2022, 12(8): 6-9.
序号 | 品种名称 | 最高茎数/(万/hm2) | 穗数/(万/hm2) | 株高/cm | 穗粒数/个 | 千粒重/g | 容重/(g/L) | 折合产量/(kg/hm2) |
---|---|---|---|---|---|---|---|---|
1 | 沧麦6002 | -1043.25 | -42.15 | 7.03 | -1.94 | -13.05 | 0.25 | -757.35 |
2 | 小偃60 | -1054.2 | -181.5 | -3.04 | -4.61 | -2.70 | -0.13 | -825.6 |
3 | 沧麦6005 | -1045.35 | -180.9 | -0.70 | -8.25 | -26.29 | -0.13 | -820.65 |
4 | 晋麦100 | -1039.35 | -206.55 | -0.79 | -9.91 | -17.31 | -1.87 | -807.45 |
5 | 沧麦14 | -1047.3 | -40.8 | -20.32 | -3.02 | -5.26 | -1.01 | -709.35 |
6 | 小偃155 | -1103.25 | -339.3 | -18.48 | -6.21 | -29.00 | -1.35 | -853.95 |
7 | 石优20 | -1081.95 | -162 | -9.84 | -14.72 | -9.59 | -2.11 | -764.1 |
8 | 石麦22 | -991.05 | 31.05 | -15.33 | -9.93 | -14.29 | -2.12 | -780 |
9 | 中麦36 | -1044 | -99.75 | -1.15 | -7.80 | -16.70 | -1.37 | -654.45 |
10 | 捷麦19CK | -1034.1 | 23.25 | -9.25 | -7.67 | -14.54 | -2.16 | -681.9 |
平均变幅 | -1048.35 | -119.85 | -7.19 | -7.40 | -14.87 | -1.20 | -765.45 |
序号 | 品种名称 | 最高茎数/(万/hm2) | 穗数/(万/hm2) | 株高/cm | 穗粒数/个 | 千粒重/g | 容重/(g/L) | 折合产量/(kg/hm2) |
---|---|---|---|---|---|---|---|---|
1 | 沧麦6002 | -1043.25 | -42.15 | 7.03 | -1.94 | -13.05 | 0.25 | -757.35 |
2 | 小偃60 | -1054.2 | -181.5 | -3.04 | -4.61 | -2.70 | -0.13 | -825.6 |
3 | 沧麦6005 | -1045.35 | -180.9 | -0.70 | -8.25 | -26.29 | -0.13 | -820.65 |
4 | 晋麦100 | -1039.35 | -206.55 | -0.79 | -9.91 | -17.31 | -1.87 | -807.45 |
5 | 沧麦14 | -1047.3 | -40.8 | -20.32 | -3.02 | -5.26 | -1.01 | -709.35 |
6 | 小偃155 | -1103.25 | -339.3 | -18.48 | -6.21 | -29.00 | -1.35 | -853.95 |
7 | 石优20 | -1081.95 | -162 | -9.84 | -14.72 | -9.59 | -2.11 | -764.1 |
8 | 石麦22 | -991.05 | 31.05 | -15.33 | -9.93 | -14.29 | -2.12 | -780 |
9 | 中麦36 | -1044 | -99.75 | -1.15 | -7.80 | -16.70 | -1.37 | -654.45 |
10 | 捷麦19CK | -1034.1 | 23.25 | -9.25 | -7.67 | -14.54 | -2.16 | -681.9 |
平均变幅 | -1048.35 | -119.85 | -7.19 | -7.40 | -14.87 | -1.20 | -765.45 |
处理 | 序号 | 品种名称 | 最高茎数/(万/hm2) | 穗数/(万/hm2) | 株高/cm | 穗粒数/个 | 千粒重/g | 容重/(g/L) | 折合产量/(kg/hm2) |
---|---|---|---|---|---|---|---|---|---|
水浇地 | 1 | 沧麦6002 | 0.9980 | 0.9857 | 1.0488 | 1.0255 | 0.9437 | 0.9902 | 1.0087 |
2 | 小偃60 | 1.0290 | 1.0184 | 0.9611 | 0.9328 | 0.9789 | 0.9839 | 1.0043 | |
3 | 沧麦6005 | 1.0337 | 1.0636 | 1.0946 | 1.0420 | 0.9371 | 0.9814 | 1.0821 | |
4 | 晋麦100 | 0.9896 | 1.0410 | 0.9636 | 1.0685 | 0.9657 | 1.0090 | 1.0475 | |
5 | 沧麦14 | 1.0102 | 1.0184 | 1.1200 | 0.9858 | 1.0449 | 0.9915 | 0.9971 | |
6 | 小偃155 | 0.9718 | 0.9781 | 0.8670 | 1.0652 | 1.1835 | 1.0254 | 0.9514 | |
7 | 石优20 | 1.0299 | 1.0008 | 0.8785 | 0.9891 | 0.9635 | 1.0128 | 0.9540 | |
8 | 石麦22 | 0.9511 | 0.9731 | 0.9535 | 0.9659 | 0.9855 | 1.0078 | 0.9567 | |
9 | 中麦36 | 0.9690 | 0.9454 | 0.9992 | 0.9759 | 1.0141 | 1.0090 | 0.9665 | |
10 | 捷麦19CK | 1.0177 | 0.9756 | 1.1137 | 0.9494 | 0.9833 | 0.9889 | 1.0317 | |
旱地 | 1 | 沧麦6002 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
2 | 小偃60 | 0.9681 | 1.0062 | 0.9344 | 0.8301 | 0.8849 | 1.1609 | 0.9899 | |
3 | 沧麦6005 | 1.0996 | 1.0309 | 0.9764 | 0.9683 | 0.9507 | 0.8418 | 0.9873 | |
4 | 晋麦100 | 0.9761 | 1.0000 | 0.9370 | 0.8516 | 0.9572 | 0.9732 | 0.9975 | |
5 | 沧麦14 | 1.0040 | 1.0031 | 1.0341 | 0.7950 | 0.9507 | 1.2064 | 0.9886 | |
6 | 小偃155 | 0.9482 | 0.8457 | 0.7900 | 0.6297 | 0.9934 | 1.0241 | 1.0190 | |
7 | 石优20 | 0.9920 | 0.9444 | 0.9318 | 0.7055 | 0.8388 | 1.0617 | 0.9987 | |
8 | 石麦22 | 1.1195 | 1.0617 | 1.0367 | 0.7191 | 0.8651 | 1.0295 | 0.9937 | |
9 | 中麦36 | 1.0518 | 0.9691 | 0.9213 | 0.8800 | 0.8947 | 1.0295 | 1.0025 | |
10 | 捷麦19CK | 1.1474 | 1.0401 | 1.0341 | 0.9003 | 0.8717 | 1.0241 | 0.9747 |
处理 | 序号 | 品种名称 | 最高茎数/(万/hm2) | 穗数/(万/hm2) | 株高/cm | 穗粒数/个 | 千粒重/g | 容重/(g/L) | 折合产量/(kg/hm2) |
---|---|---|---|---|---|---|---|---|---|
水浇地 | 1 | 沧麦6002 | 0.9980 | 0.9857 | 1.0488 | 1.0255 | 0.9437 | 0.9902 | 1.0087 |
2 | 小偃60 | 1.0290 | 1.0184 | 0.9611 | 0.9328 | 0.9789 | 0.9839 | 1.0043 | |
3 | 沧麦6005 | 1.0337 | 1.0636 | 1.0946 | 1.0420 | 0.9371 | 0.9814 | 1.0821 | |
4 | 晋麦100 | 0.9896 | 1.0410 | 0.9636 | 1.0685 | 0.9657 | 1.0090 | 1.0475 | |
5 | 沧麦14 | 1.0102 | 1.0184 | 1.1200 | 0.9858 | 1.0449 | 0.9915 | 0.9971 | |
6 | 小偃155 | 0.9718 | 0.9781 | 0.8670 | 1.0652 | 1.1835 | 1.0254 | 0.9514 | |
7 | 石优20 | 1.0299 | 1.0008 | 0.8785 | 0.9891 | 0.9635 | 1.0128 | 0.9540 | |
8 | 石麦22 | 0.9511 | 0.9731 | 0.9535 | 0.9659 | 0.9855 | 1.0078 | 0.9567 | |
9 | 中麦36 | 0.9690 | 0.9454 | 0.9992 | 0.9759 | 1.0141 | 1.0090 | 0.9665 | |
10 | 捷麦19CK | 1.0177 | 0.9756 | 1.1137 | 0.9494 | 0.9833 | 0.9889 | 1.0317 | |
旱地 | 1 | 沧麦6002 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
2 | 小偃60 | 0.9681 | 1.0062 | 0.9344 | 0.8301 | 0.8849 | 1.1609 | 0.9899 | |
3 | 沧麦6005 | 1.0996 | 1.0309 | 0.9764 | 0.9683 | 0.9507 | 0.8418 | 0.9873 | |
4 | 晋麦100 | 0.9761 | 1.0000 | 0.9370 | 0.8516 | 0.9572 | 0.9732 | 0.9975 | |
5 | 沧麦14 | 1.0040 | 1.0031 | 1.0341 | 0.7950 | 0.9507 | 1.2064 | 0.9886 | |
6 | 小偃155 | 0.9482 | 0.8457 | 0.7900 | 0.6297 | 0.9934 | 1.0241 | 1.0190 | |
7 | 石优20 | 0.9920 | 0.9444 | 0.9318 | 0.7055 | 0.8388 | 1.0617 | 0.9987 | |
8 | 石麦22 | 1.1195 | 1.0617 | 1.0367 | 0.7191 | 0.8651 | 1.0295 | 0.9937 | |
9 | 中麦36 | 1.0518 | 0.9691 | 0.9213 | 0.8800 | 0.8947 | 1.0295 | 1.0025 | |
10 | 捷麦19CK | 1.1474 | 1.0401 | 1.0341 | 0.9003 | 0.8717 | 1.0241 | 0.9747 |
处理 | 性状 | 最高茎数 | 穗数 | 株高 | 穗粒数 | 千粒重 | 容重 | 折合产量 |
---|---|---|---|---|---|---|---|---|
水浇地 | 容重 | 0.3633 | 0.3830 | 0.2266 | 0.3268 | 0.4017 | 1.0000 | 0.3229 |
折合产量 | 0.5519 | 0.5185 | 0.3703 | 0.4606 | 0.3325 | 0.3995 | 1.0000 | |
旱地 | 容重 | 0.5721 | 0.4753 | 0.3163 | 0.4355 | 0.4982 | 1.0000 | 0.4537 |
折合产量 | 0.4181 | 0.5141 | 0.2735 | 0.3791 | 0.3202 | 0.3839 | 1.0000 |
处理 | 性状 | 最高茎数 | 穗数 | 株高 | 穗粒数 | 千粒重 | 容重 | 折合产量 |
---|---|---|---|---|---|---|---|---|
水浇地 | 容重 | 0.3633 | 0.3830 | 0.2266 | 0.3268 | 0.4017 | 1.0000 | 0.3229 |
折合产量 | 0.5519 | 0.5185 | 0.3703 | 0.4606 | 0.3325 | 0.3995 | 1.0000 | |
旱地 | 容重 | 0.5721 | 0.4753 | 0.3163 | 0.4355 | 0.4982 | 1.0000 | 0.4537 |
折合产量 | 0.4181 | 0.5141 | 0.2735 | 0.3791 | 0.3202 | 0.3839 | 1.0000 |
[13] | 郑立飞, 范展飞, 冯浩, 等. 小麦产量因素对籽粒容重影响的通径分析[J]. 生物数学学报, 2015, 30(4):721-727. |
[14] | 成雪峰, 柴守玺, 张凤云. 河西绿洲灌区不同灌溉模式下春小麦主要农艺性状与产量和WUE的灰色关联分析[J]. 麦类作物学报, 2007, 27(4):699-704. |
[15] | 李玉发, 何巾周, 李淑芳, 等. 东北地区春小麦主要性状与产量间的灰色关联分析[J]. 麦类作物学报, 2005, 25(1):139-141. |
[16] | 任雅琴, 郭瑞林, 吕金仓, 等. 宝鸡市小麦主要农艺性状与产量性状之间的同异分析[J]. 西北农业学报, 2014, 1(23):70-74. |
[17] | 邓聚龙. 农业系统灰色理论与方法[M]. 济南: 山东科学技术出版社, 1988. |
[18] | 岳含云. 灰色关联度分析在作物性状分析上的应用[J]. 农业系统科学与综合研究, 2000, 16(4):296-298,302. |
[19] | 徐芦, 陈三乐, 杜运科, 等. 灰色关联分析在大麦品比试验上的应用[J]. 陕西农业科学, 2012(3):26-28. |
[20] | 侯小峰, 左联忠, 王彩萍, 等. 冬小麦产量与主要农艺性状的灰色关联度分析[J]. 甘肃农业科技, 2014(5):5-7. |
[1] | 田纪春, 邓志英, 胡瑞波. 不同类型超级小麦产量构成因素及籽粒产量的通径分析[J]. 作物学报, 2006, 32(11):1699-1705. |
[2] | 张晓芳, 张玉良. 我国小麦籽粒容重的研究[J]. 作物品种资源, 1997(2):24-25. |
[3] | 姜恒, 杨绍安. 对我国粮食安全战略的思考[J]. 生产力研究, 2006(7):173-175. |
[4] | 蔡建文. 农道:解读中国粮食间题[M]. 沈阳: 辽宁人民出版社, 2005. |
[5] | 李鸿恩. 中国小麦种质资源主要品质鉴定[M]. 西安: 陕西科学技术出版社, 1992:23. |
[6] | 宋家永. 优质小麦产业化[M]. 北京: 中国农业科学技术出版社, 2002:28. |
[7] | 周芳菊, 陈桥生, 张道荣, 等. 小麦产量构成因素的相关性分析[J]. 湖北农业科学, 2012, 51(23):5287-5289. |
[8] | 孙本普, 王勇, 李秀云, 等. 不同年份的气候和栽培条件对冬小麦构成因素的影响[J]. 麦类作物学报, 2004, 24(2):83-87. |
[9] | 郑建民, 李浦, 廖晓虹, 等. 四川冬小麦产量构成因子初步分析[J]. 作物杂志, 2002(1):105-108. |
[10] | 邓聚龙. 农业系统灰色理论与方法[M]. 济南: 山东科学技术出版社, 1988:39-74. |
[11] | 雷铁拴. 灰色系统理论在农业上的应用[M]. 郑州: 河南科学技术出版社, 1996:31-61. |
[12] | 王军卫, 张改生, 刘宏伟, 等. 应用灰色系统理论选育优良杂种小麦品种[J]. 西北农林科技大学学报, 2004, 1(32):23-26. |
[1] | HE Mi, LI Xiaobo, HUANG Jing, HUANG Guangfu. The Relationship Between Leaf Area Index and Yield of Rice: Research Progress [J]. Journal of Agriculture, 2022, 12(8): 1-5. |
[2] | LIN Tuanrong, WANG Yufeng, WANG Zhen, FAN Longqiu, ZHANG Zhicheng, WANG Wei, HUANG Wenjuan, JIAO Xinlei, WANG Yiqian, XING Jin, YIN Yuhe. Regional Trials of Mid-Late Maturing Potato Varieties in the North China Group 2019-2020 [J]. Journal of Agriculture, 2022, 12(8): 16-21. |
[3] | GUO Shanhu, ZHOU Zonggui, LIU Min, PAN Wenzheng, ZHANG Lifang, ZHAO Xuetong, ZHANG Qi, XIAO Yongfei. Effects of Soil Improvement Materials on Physicochemical Properties of Soil and Yield and Quality of Flue-cured Tobacco [J]. Journal of Agriculture, 2022, 12(8): 62-67. |
[4] | LI Jiqin, YUAN Qinghua, LIU Yang, WEN Zhiqiang, QIU Chunren, ZHANG Haixia, MA Zhuwen. Selection and Suitability Evaluation of Eight Introduced Flue-cured Tobacco Varieties in Shaoguan Ecological Tobacco Areas [J]. Journal of Agriculture, 2022, 12(7): 38-44. |
[5] | YAN Yu, WANG Weijian, YAO Yutian, CHEN Chen, QIU Jun, ZHANG Xiaowei, CHEN Xijun. Effect of Several Biological Agents on Controlling Rice Blast and Improving Yield and Quality of Organic Rice [J]. Journal of Agriculture, 2022, 12(7): 5-11. |
[6] | WANG Xiaodan, WANG Yaliang, ZHANG Yuping, XIANG Jing, ZHANG Yikai, CHEN Huizhe. Nitrogen Application: Effect on Yield and Quality of Machine Transplanted Large Panicle Single Cropping Rice [J]. Journal of Agriculture, 2022, 12(6): 1-4. |
[7] | SUN Bin, ZHANG Jiajia, SONG Yujiao, HAI Fei, WANG Lei. 5% Prohexadione Calcium EA: Effects on Lodging Resistance, Yield and Its Related Factors of Wheat [J]. Journal of Agriculture, 2022, 12(6): 14-17. |
[8] | JIN Wu, HE Qi, DU Xingwei, ZHU Xinyan, WEN Haibo, MA Xueyan, HE Yijin, BING Xuwen. Prediction of Crab Yield by BP Neural Network Based on Meteorological Factors of Crab Producing Areas in Jiangsu [J]. Journal of Agriculture, 2022, 12(6): 50-54. |
[9] | XI Xiaoqian, LI Hong, WANG Ruijun, ZHANG Xuli, YANG Zhibin. Disease Resistance of Maize Varieties: Evaluation and Its Grey Correlation with Agronomic Characters [J]. Journal of Agriculture, 2022, 12(4): 13-17. |
[10] | ZHAO Jiatao, FU Zhengbo, YANG Xianghong, LIU Mengdao. Reducing Quantity and Increasing Efficiency of Chemical Fertilizer for ‘Baodamai 20’: A Preliminary Study [J]. Journal of Agriculture, 2022, 12(4): 29-32. |
[11] | TIAN Tian, HAN Yu, FU Shan. The Impact of Human Capital Investment on Agricultural Development from the Perspective of Rural Revitalization: An Empirical Study [J]. Journal of Agriculture, 2022, 12(4): 96-100. |
[12] | ZOU Yijing, JIANG Jianhong, WANG Guangfeng, HUANG Kaimei, LIANG Dagang, YAN Shaobing. Effects of Calabash Rootstock Grafting on Growth, Fruit Traits and Yield of Watermelon [J]. Journal of Agriculture, 2022, 12(3): 50-54. |
[13] | AN Li, ZHANG Zhishan, MENG Qinglei, DONG Xuesa, ZHU Shuren, ZHU Yong’an. Morphological Characteristics and Parameters of 1-year-old Micropterus salmoides [J]. Journal of Agriculture, 2022, 12(3): 59-64. |
[14] | LI Guoqing, LI Guoyu, CONG Xinjun, LI Ni. Intermission Seeding Under Millet and Peanut Intercropping: Effects on the Agronomic Traits and Yield of Millet [J]. Journal of Agriculture, 2022, 12(3): 6-10. |
[15] | QUAN Ruilan, FU Ding, MA Hanyun, HUO Erwei, SHEN Guanghui, GUO Guiying, WANG Qinglin. Yield Traits of High-quality and High-yield Conventional Indica Glutinous Rice ‘Zhenzhunuo’ [J]. Journal of Agriculture, 2022, 12(2): 1-7. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 247
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 361
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||