欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2023, Vol. 49 ›› Issue (11): 3110-3121.doi: 10.3724/SP.J.1006.2023.24218

• 耕作栽培·生理生化 • 上一篇    下一篇

花生产量相关性状与气象因子多环境相关性分析

姜骁1(), 许静1, 潘丽娟1, 陈娜1, 王通1, 江晓东2, 殷祥贞1, 杨珍1, 禹山林1,*(), 迟晓元1,*   

  1. 1山东省花生研究所, 山东青岛 266100
    2江苏省农业气象重点实验室 / 南京信息工程大学应用气象学院, 江苏南京 210044
  • 收稿日期:2022-09-30 接受日期:2023-02-21 出版日期:2023-11-12 网络出版日期:2023-03-02
  • 通讯作者: 迟晓元, E-mail: chi000@126.com
  • 作者简介:E-mail: 15066223517@163.com
  • 基金资助:
    泰山学者工程专项(tsqn201812121);财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-13);广东省重点领域研发计划项目(2020B020219003);山东省重点研发计划(农业良种工程)项目(2020LZGC001);山东省自然科学基金项目(ZR2021QC172);山东省重点研发计划(乡村振兴科技创新提振行动计划)项目(2022TZXD0031);新疆维吾尔自治区重大科技专项(2022A02008-3)

Peanut yield-related traits and meteorological factors correlation analysis in multiple environments

JIANG Xiao1(), XU Jing1, PAN Li-Juan1, CHEN Na1, WANG Tong1, JIANG Xiao-Dong2, YIN Xiang-Zhen1, YANG Zhen1, YU Shan-Lin1,*(), CHI Xiao-Yuan1,*   

  1. 1Shandong Peanut Research Institute, Qingdao 266100, Shandong, China
    2Jiangsu Key Laboratory of Agricultural Meteorology / College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • Received:2022-09-30 Accepted:2023-02-21 Published:2023-11-12 Published online:2023-03-02
  • Supported by:
    Taishan Scholar Project Funding(tsqn201812121);China Agriculture Research System of MOF and MARA(CARS-13);Key-Area Research and Development Program of Guangdong Province(2020B020219003);Research and Development Program of Shandong Province (the Improved Variety Engineering Project)(2020LZGC001);Natural Science Fund of Shandong Province(ZR2021QC172);Key Research and Development Plan of Shandong Province (Action Plan to Boost Scientific and Technological Innovation in Rural Revitalization)(2022TZXD0031);Major Scientific and Technological Project in Xinjiang(2022A02008-3)

RichHTML

9

PDF

338

摘要：

花生(Arachis hypogea L.)是重要的经济和油料作物, 提高花生产量对保障油料安全和农民增收具有积极作用。2013—2016年, 本研究利用11个花生品种共77环境的花生产量相关性状数据和气象数据, 分析了花生产量相关性状与气象因子的相关性。研究发现, 主茎高和侧枝长与平均气温、全生育期光照时数、平均昼夜温差和平均风速极显著相关; 分枝数与全生育期≥10℃活动积温和平均昼夜温差极显著相关; 单株结果数和单株饱果数与全生育期光照时数和全生育期降水量极显著相关; 荚果产量与全生育期≥10℃活动积温、全生育期降水量、平均昼夜温差和平均气温极显著相关。本研究对指导各地规划花生种植期、提高花生产量具有重要指导意义。

关键词: 花生, 产量相关性状, 环境因子, 相关性分析

Abstract:

Peanut (Arachis hypogea L.) is an important cash and oil crop, and increasing peanut yield has a positive effect on the ensuring edible oil security and increasing farmers income. In this study, the correlation analysis were conducted between peanut yield-related traits of 11 varieties and the meteorological data in 77 environments from 2013 to 2016. We found that main stem height and branch length were extremely significantly correlated with the average temperature, all-growth-stage sunshine duration, the average diurnal temperature variation, and the average wind speed. Branch number was extremely significantly correlated with the all-growth-stage ≥10℃ accumulated temperature and the average diurnal temperature variation. Pod number per plant and mature pod number per plant were extremely significantly correlated with the all-growth-stage sunshine duration and precipitation. Pod yield was significantly correlated with the ≥10℃ accumulated temperature, the precipitation in the whole growth period, the average diurnal temperature variation, and the average temperature. It is important guiding significance for planning peanut planting and improving peanut yield in various regions.

Key words: Arachis hypogea L., yield-related traits, meteorological factor, the correlation analysis

表1

花生多环境种植分布"

年份
Year		 种植品种
Planting variety		 种植地点
Plant location
2013 花育19号, 花育21号, 花育30号, 花育33号, 冀花10号, 冀花9号, 徐花13号
Huayu 19, Huayu 21, Huayu 30, Huayu 33, Jihua 10, Jihua 9, Xuhua 13		 安徽合肥, 福建泉州, 广东湛江, 广西贺州, 贵州贵阳, 河北保定, 河南开封, 河南驻马店, 湖北黄冈, 湖南邵阳, 吉林四平, 江苏徐州, 江西赣州, 辽宁阜新, 辽宁锦州, 山东临沂, 山东潍坊, 山东烟台, 山西汾阳, 四川南充
Hefei, Anhui; Quanzhou, Fujian; Zhanjiang, Guangdong; Hezhou, Guangxi; Guiyang, Guizhou; Baoding, Hebei; Kaifeng, Henan; Zhumadian, Henan; Huanggang, Hubei; Shaoyang, Hunan; Siping, Jilin; Xuzhou, Jiangsu; Ganzhou, Jiangxi; Fuxin, Liaoning; Jinzhou, Liaoning; Linyi, Shandong; Weifang, Shandong; Yantai, Shandong; Fenyang, Shanxi; Nanchong, Sichuan
2014 花育17号, 花育19号, 花育21号, 花育30号, 花育33号, 冀花10号, 冀花9号, 闽花6号, 徐花13号, 徐花9号, 中花6号
Huayu 17, Huayu 19, Huayu 21, Huayu 30, Huayu 33, Jihua 10, Jihua 9, Minhua 6, Xuhua 13, Xuhua 9, Zhonghua 6		 安徽合肥, 福建泉州, 广东湛江, 广西贺州, 贵州贵阳, 河北保定, 河南开封, 河南驻马店, 湖北黄冈, 湖南邵阳, 吉林四平, 江苏徐州, 江西赣州, 辽宁阜新, 辽宁锦州, 山东临沂, 山东潍坊, 山东烟台, 山西汾阳, 四川南充
Hefei, Anhui; Quanzhou, Fujian; Zhanjiang, Guangdong; Hezhou, Guangxi; Guiyang, Guizhou; Baoding, Hebei; Kaifeng, Henan; Zhumadian, Henan; Huanggang, Hubei; Shaoyang, Hunan; Siping, Jilin; Xuzhou, Jiangsu; Ganzhou, Jiangxi; Fuxin, Liaoning; Jinzhou, Liaoning; Linyi, Shandong; Weifang, Shandong; Yantai, Shandong; Fenyang, Shanxi; Nanchong, Sichuan
2015 花育17号, 花育19号, 花育21号, 花育30号, 花育33号, 冀花10号, 冀花9号, 闽花6号, 徐花13号, 徐花9号, 中花6号
Huayu 17, Huayu 19, Huayu 21, Huayu 30, Huayu 33, Jihua 10, Jihua 9, Minhua 6, Xuhua 13, Xuhua 9, Zhonghua 6		 广东湛江(春), 广东湛江(秋), 广西贺州(春), 广西贺州(秋), 河北保定, 河南开封, 湖北黄冈, 湖南邵阳, 吉林四平, 江苏徐州, 江西赣州, 辽宁阜新, 辽宁锦州, 山东潍坊, 山东烟台, 山西汾阳, 四川南充
Zhanjiang, Guangdong (spring); Zhanjiang, Guangdong (autumn); Hezhou, Guangxi (spring); Hezhou, Guangxi (autumn); Baoding, Hebei; Kaifeng, Henan; Huanggang, Hubei; Shaoyang, Hunan; Siping, Jilin; Xuzhou, Jiangsu; Ganzhou, Jiangxi; Fuxin, Liaoning; Jinzhou, Liaoning; Weifang, Shandong; Yantai, Shandong; Fenyang, Shanxi; Nanchong, Sichuan
2016 花育17号, 花育19号, 花育21号, 花育30号, 花育33号, 冀花10号, 冀花9号, 闽花6号, 徐花13号, 徐花9号, 中花6号
Huayu 17, Huayu 19, Huayu 21, Huayu 30, Huayu 33, Jihua 10, Jihua 9, Minhua 6, Xuhua 13, Xuhua 9, Zhonghua 6		 安徽合肥, 福建泉州, 广东湛江, 广西贺州, 贵州贵阳, 河北保定, 河南开封, 河南驻马店, 湖北黄冈, 湖南邵阳, 吉林四平, 江苏徐州, 江西赣州, 辽宁阜新, 辽宁锦州, 山东临沂, 山东青岛, 山东潍坊, 山西汾阳, 四川南充
Hefei, Anhui; Quanzhou, Fujian; Zhanjiang, Guangdong; Hezhou, Guangxi; Guiyang, Guizhou; Baoding, Hebei; Kaifeng, Henan; Zhumadian, Henan; Huanggang, Hubei; Shaoyang, Hunan; Siping, Jilin; Xuzhou, Jiangsu; Ganzhou, Jiangxi; Fuxin, Liaoning; Jinzhou, Liaoning; Linyi, Shandong; Qingdao, Shandong; Weifang, Shandong; Fenyang, Shanxi; Nanchong, Sichuan

表2

每年各花生品种表型数据统计"

年份
Year		 品种
Variety		 主茎高
Main stem height (cm)		 侧枝长
Branch length (cm)		 分枝数(个)
Branch number		 单株结果数(个)
Pod number per plant		 单株饱果数(个)
Mature pod number per plant		 荚果产量
Pod yield (kg hm-²)
范围
Range		 均值
Mean		 CV 范围
Range		 均值
Mean		 CV 范围
Range		 均值
Mean		 CV 范围
Range		 均值
Mean		 CV 范围
Range		 均值
Mean		 CV 范围
Range		 均值
Mean		 CV
2013 花育19号 Huayu 19 23.6-70.8 47.48 0.27 28.4-82.6 51.85 0.27 6.3-10.4 8.32 0.14 8.5-32.3 19.80 0.40 1.0-32.3 14.53 0.56 1000.5-6415.5 4060.95 0.29
花育21号 Huayu 21 25.6-69.4 46.56 0.27 30.3-78.8 52.03 0.26 7.4-11.0 9.32 0.12 9.0-31.0 20.32 0.35 1.2-30.2 14.36 0.52 1294.5-6085.5 3816.45 0.28
花育30号 Huayu 30 25.6-82.0 46.80 0.29 31.5-83.4 50.46 0.27 6.5-11.5 8.40 0.15 9.0-54.4 20.74 0.49 1.7-27.9 13.98 0.53 985.5-6315 4087.65 0.30
花育33号 Huayu 33 20.5-67.2 43.13 0.28 26.0-68.1 46.52 0.25 5.5-10.1 8.08 0.15 10.2-31.0 19.86 0.30 2.4-24.5 15.09 0.44 1105.5-5770.5 4013.25 0.27
冀花9号 Jihua 9 22.2-67.9 41.68 0.32 19.8-65.3 40.97 0.30 6.0-12.8 7.67 0.19 8.8-44.8 20.63 0.41 1.2-27.2 14.44 0.48 739.5-5880.0 3713.85 0.33
冀花10号 Jihua 10 17.7-69.8 37.24 0.35 26.2-74.9 46.73 0.30 7.0-16.0 10.20 0.27 10.0-49.0 21.54 0.43 3.5-26.3 15.58 0.42 795.0-5845.5 3855.15 0.30
徐花13号 Xuhua13 20.6-66.6 42.70 0.31 25.2-70.1 46.78 0.28 5.0-9.0 7.41 0.17 8.9-34.0 19.15 0.34 2.6-26.5 14.61 0.44 1275.0-6184.5 4130.55 0.28
2014 花育17号 Huayu 17 16.8-85.4 43.99 0.41 17.0-95.9 49.67 0.41 5.0-15.2 7.66 0.29 9.3-31.9 19.62 0.37 6.2-24.3 14.65 0.43 1585.5-7269.0 4423.35 0.38
花育19号 Huayu 19 21.4-89.3 44.59 0.37 23.6-105.0 49.90 0.38 4.8-16.5 8.39 0.33 9.0-31.9 18.83 0.39 6.2-24.8 13.83 0.45 2265.0-6790.5 4372.95 0.29
花育21号 Huayu 21 16.0-99.8 44.06 0.46 18.8-100.4 48.19 0.41 6.0-20.0 8.84 0.34 7.2-31.0 18.46 0.35 5.0-30.2 13.10 0.49 2520.0-6744.0 4223.70 0.30
花育30号 Huayu 30 16.9-83.8 43.88 0.36 20.1-86.2 48.06 0.33 5.8-14.6 8.42 0.25 8.9-54.4 20.17 0.47 7.3-43.0 15.00 0.58 1455.0-7845.0 4379.55 0.40
花育33号 Huayu 33 20.5-71.1 40.98 0.36 23.5-81.8 45.21 0.34 4.7-15.1 8.07 0.26 9.2-31.0 19.29 0.30 6.5-23.4 14.88 0.34 2655.0-7575.0 4489.35 0.32
冀花9号 Jihua 9 15.3-66.9 33.86 0.36 18.5-65.7 37.83 0.31 5.4-17.1 8.08 0.32 8.7-44.8 19.72 0.39 6.4-32.0 14.33 0.47 2389.5-6901.5 4115.85 0.32
冀花10号 Jihua 10 18.9-94.0 41.27 0.43 20.4-102.0 47.28 0.40 6.0-19.2 10.24 0.38 11.1-49.0 20.82 0.43 6.1-36.0 15.53 0.49 1950.0-7920.0 4284.00 0.38
徐花9号 Xuhua 9 15.9-77.3 38.12 0.44 18.1-75.0 43.54 0.37 5.3-16.5 7.71 0.32 7.6-26.5 16.07 0.26 6.2-21.5 12.20 0.33 1701.0-6150.0 3726.15 0.28
徐花13号 Xuhua 13 16.9-78.3 39.56 0.40 17.1-84.5 43.00 0.39 5.6-13.2 7.76 0.22 10.1-34.0 18.11 0.31 7.2-26.8 13.57 0.40 2040.0-8775.0 4382.85 0.38
中花6号 Zhonghua 6 18.5-102.0 49.16 0.51 21.9-102.5 53.36 0.41 6.1-14.7 8.46 0.30 11.2-63.2 21.89 0.56 9.1-41.9 16.59 0.50 2350.5-7650.0 3625.35 0.39
闽花6号 Minhua 6 17.8-89.5 44.28 0.39 20.8-93.4 52.59 0.38 4.4-12.7 7.23 0.28 7.0-28.1 16.72 0.34 5.5-22.3 12.13 0.38 675.0-6750.0 4023.15 0.38
2015 花育17号 Huayu 17 19.9-56.3 41.03 0.23 22.8-59.0 46.75 0.24 5.0-9.4 7.24 0.21 9.0-39.4 18.53 0.49 5.2-29.0 12.30 0.54 1800.0-7129.5 4809.45 0.36
花育19号 Huayu 19 19.7-61.8 42.16 0.28 21.4-62.9 45.88 0.28 6.0-13.2 8.06 0.24 9.6-33.8 18.64 0.37 4.7-24.7 12.67 0.43 1789.5-7365.0 4774.20 0.33
花育21号 Huayu 21 20.9-53.7 39.56 0.26 23.3-61.8 44.99 0.28 5.2-10.2 7.97 0.19 7.2-32.3 16.93 0.40 4.3-25.3 11.45 0.53 2470.5-6945.0 4619.40 0.31
花育30号 Huayu 30 18.9-54.8 40.88 0.25 21.9-63.0 45.47 0.26 5.9-9.2 7.43 0.12 8.9-40.2 18.73 0.51 4.2-25.0 12.24 0.54 1770.0-6723.0 4574.70 0.33
花育33号 Huayu 33 18.2-56.9 39.35 0.28 20.9-58.4 43.98 0.26 4.4-11.3 7.73 0.24 9.1-37.3 18.92 0.51 5.2-31.3 13.73 0.64 2250.0-7215.0 4723.80 0.32
冀花9号 Jihua 9 16.0-61.3 35.05 0.33 19.3-55.3 39.00 0.27 5.0-8.7 7.25 0.16 7.6-54.6 19.96 0.64 4.6-39.5 13.72 0.70 960.0-6363.0 4381.80 0.34
冀花10号 Jihua 10 16.4-56.9 38.84 0.30 19.4-68.0 44.86 0.30 5.4-17.4 8.85 0.30 8.1-43.1 20.17 0.46 6.4-35.7 14.55 0.57 1365.0-6600.0 4448.55 0.36
徐花9号 Xuhua 9 14.5-52.7 33.59 0.30 18.7-62.6 38.39 0.29 5.4-9.2 7.26 0.15 4.4-25.4 15.76 0.35 3.6-19.4 11.22 0.45 1185.0-5935.5 3604.65 0.39
徐花13号 Xuhua 13 17.0-58.5 38.16 0.28 18.6-60.5 41.83 0.26 5.2-10.0 7.29 0.18 8.0-42.1 17.87 0.58 5.1-36.1 13.61 0.66 2280.0-6450.0 4510.65 0.32
中花6号 Zhonghua 6 20.6-61.7 42.31 0.27 22.1-67.6 47.26 0.28 5.0-16.6 7.10 0.38 8.5-34.0 18.03 0.42 6.7-26.3 13.86 0.47 2050.5-7537.5 3788.55 0.37
闽花6号 Minhua 6 17.9-56.0 41.50 0.26 22.6-65.7 48.07 0.26 5.0-9.8 6.81 0.22 9.1-43.2 18.62 0.50 5.5-33.0 14.39 0.58 2794.5-6304.5 4312.35 0.25
2016 花育17号Huayu 17 17.6-71.0 40.33 0.32 17.9-73.4 44.81 0.31 4.1-13.6 7.38 0.27 5.6-44.6 18.91 0.53 3.8-33.2 13.90 0.65 2400.0-7098.0 4401.90 0.28
花育19号 Huayu 19 20.3-78.8 41.97 0.34 18.1-84.7 45.41 0.37 4.2-14.8 7.85 0.28 8.4-35.6 17.71 0.46 4.3-26.5 12.82 0.59 2655.0-6010.5 4239.45 0.23
花育21号 Huayu 21 21.8-70.6 40.74 0.30 20.5-78.5 45.28 0.33 4.5-18.4 8.41 0.32 8.3-30.4 17.68 0.43 4.2-27.5 12.39 0.59 2190.0-5836.5 4030.05 0.25
花育30号 Huayu 30 23.4-65.9 41.43 0.27 21.6-75.2 45.35 0.30 4.5-15.2 7.59 0.28 7.2-36.6 17.97 0.39 5.1-26.1 12.64 0.48 2385.0-6789.0 4277.55 0.29
花育33号 Huayu 33 19.6-62.4 39.18 0.30 23.9-67.1 43.88 0.29 4.3-14.2 7.19 0.30 6.7-32.3 16.49 0.39 3.6-26.0 12.57 0.48 2025.0-6675.0 4514.85 0.28
冀花9号 Jihua 9 18.8-55.0 34.03 0.30 18.3-60.8 37.57 0.30 4.1-15.6 7.36 0.32 10.9-36.4 18.90 0.38 3.8-33.2 13.76 0.52 2595.0-6096.0 4162.20 0.24
冀花10号 Jihua 10 20.6-60.4 38.62 0.28 19.5-67.5 43.98 0.31 4.9-19.4 8.67 0.35 9.4-32.3 19.18 0.38 5.5-27.2 13.86 0.48 2400.0-6148.5 4076.55 0.26
徐花9号 Xuhua 9 17.9-60.8 33.16 0.31 18.7-62.2 38.26 0.28 4.3-14.4 6.88 0.31 7.8-27.1 15.27 0.38 3.3-20.9 10.83 0.50 1780.5-5236.5 3366.60 0.30
徐花13号 Xuhua 13 20.4-63.4 39.02 0.30 22.1-68.1 42.55 0.31 4.2-15.9 7.53 0.38 6.4-34.4 19.03 0.41 4.2-27.2 14.57 0.50 2380.5-6507.0 4449.00 0.30
中花6号 Zhonghua 6 21.5-74.8 42.52 0.33 21.6-74.0 47.93 0.34 4.1-13.0 6.60 0.30 7.4-31.8 18.00 0.36 5.4-28.7 14.12 0.45 2205.0-4918.5 3477.90 0.24
闽花6号Minhua 6 19.6-76.0 40.20 0.32 21.9-75.4 45.67 0.30 4.3-12.6 6.58 0.28 5.4-34.8 18.07 0.43 3.8-32.5 13.92 0.55 2274.0-5655.0 3922.65 0.23

图1

产量相关性状各地表型数据统计分析"

表3

产量相关性状基因型和环境因子双因素方差分析"

性状
Trait		 因子
Source		 自由度
DF		 总方差
Sum_Sq		 平均方差
Mean_Sq		 F值
F-value		 Pr (>F)
主茎高
Main stem height		 G 10 6977 697.7 28.08 <2e-16***
E 76 118,249 1555.9 62.62 <2e-16***
GbyE 661 16,424 24.8
侧枝长
Branch length		 G 10 8062 806.2 13.35 <2e-16***
E 76 130,243 1713.7 28.37 <2e-16***
GbyE 661 39,926 60.4
分枝数
Branch number		 G 10 368.9 36.89 25.22 <2e-16***
E 74 2415.7 32.64 22.32 <2e-16***
GbyE 649 949.2 1.46
单株结果数
Pod number per plant		 G 10 869 86.9 5.754 2.67e-8***
E 72 34,113 473.8 31.381 <2e-16***
GbyE 625 9436 15.1
单株饱果数
Mature pod number per plant		 G 10 2234 223 3.672 8.82e-5***
E 70 853,447 12192 200.38 <2e-16***
GbyE 605 36,811 61
荚果产量
Pod yield		 G 10 242,097 24210 16.55 <2e-16***
E 75 4,451,136 59348 40.56 <2e-16***
GbyE 645 943,775 1463

图2

产量相关性状与气象因子相关性分析 *、**和***分别代表在P < 0.05、P < 0.01和P < 0.001水平差异显著。T1、T2、T3、T4、T5和T6分别代表主茎高、侧枝长、分枝数、单株结果数、单株饱果数和荚果产量。X1、X2、X3、X4、X5和X6分别代表全生育期的≥10℃活动积温、生育期日照时数、全生育期降水量、平均昼夜温差、日平均气温和平均风速。"

图3

产量相关性状主成分分析"

表4

不同花生品种产量相关性状的主成分分析"

性状
Trait		 主成分1
Principal component 1		 主成分2
Principal component 2		 主成分3
Principal component 3
主茎高 Main stem height 0.70 -0.69 -0.07
侧枝长 Branch length 0.75 -0.65 -0.03
分枝数 Branch number 0.48 0.10 0.33
单株结果数 Pod number per plant 0.69 0.67 -0.01
单株饱果数 Mature pod number per plant 0.68 0.68 -0.04
荚果产量 Pod yield -0.06 -0.07 0.95
特征值 Eigenvalue 2.22 1.81 1.02
贡献率 Contribution rate (%) 36.99 30.19 16.94
累计贡献率 Accumulative contribution rate (%) 36.99 67.19
[1] 李文旭, 吴政卿, 雷振生, 姜桂英. 河南省主要气象因子变化及其对主要粮食作物单产的影响特征. 作物杂志, 2021, (1): 124-134.
Li W X, Wu Z Q, Lei Z S, Jiang G Y. The characteristics of climate factors change and its effects on main grain crops yield per unit area in Henan province. Crops, 2021, (1): 124-134 (in Chinese with English abstract).
[2] 胡园春, 安广池, 杨宁, 李全景, 崔云鹏. 主要气象因子与冬小麦产量的灰色关联度分析. 农学学报, 2020, 10(2): 92-95.
doi: 10.11923/j.issn.2095-4050.cjas20190700115
Hu Y C, An G C, Yang N, Li Q J, Cui Y P. Main meteorological factors and winter wheat yield: grey correlation degree analysis. J Agric, 2020, 10(2): 92-95 (in Chinese with English abstract).
doi: 10.11923/j.issn.2095-4050.cjas20190700115
[3] 陆佳岚, 王净, 马成, 陶明煊, 赵春芳, 张亚东, 李霞, 方先文, 张俊, 陈长青, 张巫军, 夏加发, 江学海, 柳开楼, 乔中英, 张彬. 长江流域中稻产量和品质性状差异与其生育期气象因子的相关性. 江苏农业学报, 2020, 36: 1361-1372.
Lu J L, Wang J, Ma C, Tao M X, Zhao C F, Zhang Y D, Li X, Fang X W, Zhang J, Chen C Q, Zhang W J, Xia J F, Jiang X H, Liu K L, Qiao Z Y, Zhang B. Correlation between the differences in yield and quality traits among various types of middle rice and meteorological factors during growth period in the Yangtze River basin. Jiangsu J Agric Sci, 2020, 36: 1361-1372 (in Chinese with English abstract).
[4] 尹新芳, 尹鑫军, 王鑫澳, 孙文星, 高叶敏, 敖和军. 主要气象因子对水稻产量与糙米重金属含量的影响. 作物研究, 2022, 36: 411-416.
Yin X F, Yin X J, Wang X A, Sun W X, Gao Y M, Ao H J. Effects of main meteorological factors on rice yield and heavy metal content in brown rice. Crop Res, 2022, 36: 411-416 (in Chinese with English abstract).
[5] 刘月娥. 玉米对区域光、温、水资源变化的响应研究. 中国农业科学院博士学位论文,北京, 2013.
Liu Y E. The Research on Maize’s Responses to the Regional Resources Change of Light, Temperature and Water. PhD Dissertation of Chinese Academy of Agricultural Sciences, Beijing, China, 2013 (in Chinese with English abstract).
[6] 周宝元, 马玮, 孙雪芳, 丁在松, 李从锋, 赵明. 冬小麦-夏玉米高产模式周年气候资源分配与利用特征研究. 作物学报, 2019, 45: 589-600.
doi: 10.3724/SP.J.1006.2019.81067
Zhou B Y, Ma W, Sun X F, Ding Z S, Li C F, Zhao M. Characteristics of annual climate resource distribution and utilization in high-yielding winter wheat-summer maize double cropping system, Acta Agron Sin, 2019, 45: 589-600 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2019.81067
[7] 王丹, 周宝元, 马玮, 葛均筑, 丁在松, 李从锋, 赵明. 长江中游双季玉米种植模式周年气候资源分配与利用特征. 作物学报, 2022, 48: 1437-1450.
doi: 10.3724/SP.J.1006.2022.13022
Wang D, Zhou B Y, Ma W, Ge J Z, Ding Z S, Li C F, Zhao M. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River. Acta Agron Sin, 2022, 48: 1437-1450 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2022.13022
[8] 杨小兵, 杨峻, 杨晨, 任重, 汪大林. 安徽省花生产量与气象因素的关联度分析及预测模型研究. 中国农学通报, 2020, 36(34): 100-103.
doi: 10.11924/j.issn.1000-6850.casb20191100823
Yang X B, Yang J, Yang C, Ren Z, Wang D L. Peanut yield in Anhui: correlation with meteorological factors and forecast model. Chin Agric Sci Bull, 2020, 36(34): 100-103 (in Chinese with English abstract).
doi: 10.11924/j.issn.1000-6850.casb20191100823
[9] 王巍. 福山区花生单产受气象因子影响的分析. 内蒙古气象, 2020, (4): 31-33.
Wang W. Analysis of peanut yield in Fushan district affected by meteorological factors. Meteor J Inner Mongolia, 2020, (4): 31-33 (in Chinese with English abstract).
[10] 宋虎远. 河南省花生产量预报技术研究. 郑州大学硕士学位论文,河南郑州, 2021.
Song H Y. Research on Peanut Yield Forecast Technology in Henan Province. MS Thesis of Zhengzhou University, Zhengzhou, Henan, China, 2021 (in Chinese with English abstract).
[11] 杨鸣, 袁丹丹, 朱涛. 气象因子对新昌小京生花生产量影响分析. 农业灾害研究, 2020, 10(9): 49-50.
Yang M, Yuan D D, Zhu T. Analysis on the influence of meteorological factors on the yield of Xinchang Xiaojingsheng peanut. J Agric Catastrophol, 2020, 10(9): 49-50 (in Chinese with English abstract).
[12] 王二虎, 李树新, 孙欣, 霍继超, 李庆, 陈光华. 开封市花生产量与气象因素的关联度分析. 气象与环境科学, 2012, 35(增刊1): 51-54.
Wang E H, Li S X, Sun X, Huo J C, Li Q, Chen G H. Correlation analysis of kaifeng peanut production and meteorological factors. Meteor Environ Sci, 2012, 35(S1): 51-54 (in Chinese with English abstract).
[13] 李超, 吴涛涛, 张涛, 华丽. 气象因子对大悟县花生产量的影响分析. 气象与减灾研究, 2013, 36(4): 45-48.
Li C, Wu T T, Zhang T, Hua L. Analysis of the effect of meteorological factor on peanut production in Dawu country. Meteor Disaster Reduct Res, 2013, 36(4): 45-48 (in Chinese with English abstract).
[14] 马杰, 卢山, 刘桢, 谭红姣, 肖密, 王静, 刘登望, 李林. 花生产量和生长发育进度对播期与气象要素的响应. 山东农业科学, 2014, 46(6): 54-58.
Ma J, Lu S, Liu Z, Tan H J, Xiao M, Wang J, Liu D W, Li L. Responds of yield, growth and development of peanut to sowing date and meteorological elements. Shandong Agric Sci, 2014, 46(6): 54-58 (in Chinese with English abstract).
[15] 王昭静, 刘登望, 王建国, 徐娟, 李林. 播期对不同粒型花生品种发育进度的影响及与气象生态因子的关系. 中国农学通报, 2013, 29(36): 246-252.
Wang Z J, Liu D W, Wang J G, Xu J, Li L. Influence of sowing dates on developmental progress of different seed-size peanut cultivars and the relationship with meteorological eco-factors. Chin Agric Sci Bull, 2013, 29(36): 246-252 (in Chinese with English abstract).
doi: 10.11924/j.issn.1000-6850.2013-2262
[16] 杨丽萍, 朱振林, 李新华, 郭洪海, 万书波, 季明川. 基于GIS技术探讨我国花生品质空间分异规律. 安徽农业科学, 2012, 40: 17399-17401.
Yang L P, Zhu Z L, Li X H, Guo H H, Wan S B, Ji M C. Discussion on spatial distribution differentiation law of peanut quality in China based on GIS technology. J Anhui Agric Sci, 2012, 40: 17399-17401 (in Chinese with English abstract).
[17] 杨丽萍, 郭洪海, 李新华, 杨萍, 万书波. 中国花生O/L值空间分布预测初探. 中国农学通报, 2010, 26(12): 311-315.
Yang L P, Guo H H, Li X H, Yang P, Wan S B. Preliminary Studies on Spatial Distribution Prediction of Peanut O/L Ratio in China. Chin Agric Sci Bull, 2010, 26(12): 311-315 (in Chinese with English abstract).
doi: 10.11924/j.issn.1000-6850.2010-0300
[18] 甄志高, 王晓林, 段莹, 赵晓环. 气象条件对花生蛋白质和脂肪含量的影响. 花生学报, 2004, 33(3): 22-24.
Zhen Z G, Wang X L, Duan Y, Zhao X H. The effect of climatic factors on protein and oil content of peanut seed. J Peanut Sci, 2004, 33(3): 22-24 (in Chinese with English abstract).
[19] 郭洪海, 杨丽萍, 李新华, 杨萍, 万书波. 黄淮海区域花生生产与品质特征的研究. 中国生态农业学报, 2010, 18: 1233-1238.
Guo H H, Yang L P, Li X H, Yang P, Wan S B. Characteristics of production and quality of peanut in Huang-Huai-Hai region. Chin J Eco-Agric, 2010, 18: 1233-1238 (in Chinese with English abstract).
doi: 10.3724/SP.J.1011.2010.01233
[20] 何泽华, 李东萍, 邱世善. 影响化州市2018年秋花生产量的气象因素分析及防范措施. 农业灾害研究, 2020, 10(1): 78-79.
He Z H, Li D P, Qiu S S. Analysis on meteorological factors affecting autumn flower production and preventive measures of Huazhou in 2018. J Agric Catastrophol, 2020, 10(1): 78-79 (in Chinese with English abstract).
[21] 王禹, 许世卫, 喻闻. 气象因素对花生单产影响研究. 广东农业科学, 2014, 41(15): 1-8.
Wang Y, Xu S W, Yu W. Research on the effects of meteorological factors on peanut yield. Guangdong Agric Sci, 2014, 41(15): 1-8 (in Chinese with English abstract).
[22] 王禹, 许世卫, 喻闻. 河南省花生单产受气象因子影响研究. 系统科学与数学, 2015, 35: 657-666.
doi: 10.12341/jssms12587
Wang Y, Xu S W, Yu W. Meteorological impact on peanut yield in Henan. J Sys Sci Math Sci, 2015, 35: 657-666 (in Chinese with English abstract).
doi: 10.12341/jssms12587
[23] 李新华, 郭洪海, 杨丽萍, 杨萍, 万书波. 气象因子对花生品质的影响. 中国农学通报, 2010, 26(16): 90-94.
Li X H, Guo H H, Yang L P, Yang P, Wan S B. The effect of climatic factors on peanut quality. Chin Agric Sci Bull, 2010, 26(16): 90-94 (in Chinese with English abstract).
[24] 于舒怡, 臧超群, 谢瑾卉, 林英, 裴雪, 梁春浩. 花生褐斑病表观侵染速率空中分生孢子密度与气象因素的相关性分析. 中国油料作物学报, 2019, 41: 938-946.
Yu S Y, Zang C Q, Xie J H, Lin Y, Pei X, Liang C H. Correlation between visible infection rate, airborne conidia density of peanut early leaf spot and meteoro logical factors. Chin J Oil Crop Sci, 2019, 41: 938-946 (in Chinese with English abstract).
[25] 曲明静, 刘爱娜, 曾庆朝, 薛明, 梁景华, 李晓, 崔凤高, 曲春娟. 气象因子对青岛市花生田西花蓟马种群数量的影响. 花生学报, 2019, 48(4): 43-48.
Qu M J, Liu A N, Zeng Q C, Xu M, Liang J H, Li X, Cui F G, Qu C J. The effect of meteorological factors to the population number of Frankliniella occidentalis of peanut in Qingdao. J Peanut Sci, 2019, 48(4): 43-48 (in Chinese with English abstract).
[26] 曲春娟, 曾庆朝, 薛明, 梁景华, 刘爱娜, 李晓, 姜晓静, 曲明静. 气象因子对青岛市花生田花生蚜虫种群数量的影响. 山东农业科学, 2020, 52(8): 115-119.
Qu C J, Zeng Q C, Xu M, Liang J H, Liu A N, Li X, Jiang X J, Qu M J. Effect of meteorological factors on population quantity of Aphis medicaginis of peanut in Qingdao city. Shandong Agric Sci, 2020, 52(8): 115-119 (in Chinese with English abstract).
[27] Falster D S, Westoby M. Plant height and evolutionary games. Trends Ecol Evol, 2003, 18: 337-343.
doi: 10.1016/S0169-5347(03)00061-2
[28] Salas Fernandez M G, Becraft P W, Yin Y, Lübberstedt T. From dwarves to giants? Plant height manipulation for biomass yield. Trends Plant Sci, 2009, 14: 454-461.
doi: 10.1016/j.tplants.2009.06.005 pmid: 19616467
[29] Sarlikioti V, de Visser P H B, Buck-Sorlin G H, Marcelis L F M. How plant architecture affects light absorption and photosynthesis in tomato: towards an ideotype for plant architecture using a functional-structural plant model. Ann Bot, 2011, 108: 1065-1073.
doi: 10.1093/aob/mcr221
[30] Lyu J, Liu N, Guo J, Xu Z, Li X, Li Z, Luo H, Ren X, Huang L, Zhou X, Chen Y, Chen W, Lei Y, Tu J, Jiang H, Liao B. Stable QTLs for plant height on chromosome A09 identified from two mapping populations in peanut (Arachis hypogaea L.). Front Plant Sci, 2018, 9: 684.
doi: 10.3389/fpls.2018.00684
[31] Wang J, Yan C, Li Y, Li C, Zhao X, Yuan C, Sun Q, Shan S. GWAS discovery of candidate genes for yield-related traits in peanut and support from earlier QTL mapping studies. Genes, 2019, 10: 803.
doi: 10.3390/genes10100803
[1] 胡艳娟, 薛丹, 耿嫡, 朱末, 王天穹, 王晓雪. 水稻OsCDF1基因突变效应及其基因组变异分析[J]. 作物学报, 2023, 49(9): 2362-2372.
[2] 胡美玲, 郅晨阳, 薛晓梦, 吴洁, 王瑾, 晏立英, 王欣, 陈玉宁, 康彦平, 王志慧, 淮东欣, 姜慧芳, 雷永, 廖伯寿. 单粒花生蔗糖含量近红外预测模型的建立[J]. 作物学报, 2023, 49(9): 2498-2504.
[3] 王菲菲, 张胜忠, 胡晓辉, 崔凤高, 钟文, 赵立波, 张天雨, 郭进涛, 于豪谅, 苗华荣, 陈静. 比较转录组分析花生种子休眠调控网络[J]. 作物学报, 2023, 49(9): 2446-2461.
[4] 徐扬, 张岱, 康涛, 温赛群, 张冠初, 丁红, 郭庆, 秦斐斐, 戴良香, 张智猛. 盐胁迫对花生幼苗离子动态及耐盐基因表达的影响[J]. 作物学报, 2023, 49(9): 2373-2384.
[5] 黄莉, 陈伟刚, 李威涛, 喻博伦, 郭建斌, 周小静, 罗怀勇, 刘念, 雷永, 廖伯寿, 姜慧芳. 花生根部结瘤性状QTL定位[J]. 作物学报, 2023, 49(8): 2097-2104.
[6] 李星, 杨会, 骆璐, 李华东, 张昆, 张秀荣, 李玉颖, 于海洋, 王天宇, 刘佳琪, 王瑶, 刘风珍, 万勇善. 栽培种花生单仁重QTL定位分析[J]. 作物学报, 2023, 49(8): 2160-2170.
[7] 陶顺玉, 吴贝, 刘念, 罗怀勇, 黄莉, 周小静, 陈伟刚, 郭建斌, 喻博伦, 雷永, 廖伯寿, 姜慧芳. 花生InDel标记开发及其在含油量QTL定位中的应用[J]. 作物学报, 2023, 49(5): 1222-1230.
[8] 孙全喜, 苑翠玲, 牟艺菲, 闫彩霞, 赵小波, 王娟, 王奇, 孙慧, 李春娟, 单世华. 花生SWEET基因全基因组鉴定及表达分析[J]. 作物学报, 2023, 49(4): 938-954.
[9] 纪红昌, 胡畅丽, 邱晓臣, 吴兰荣, 李晶晶, 李鑫, 李晓婷, 刘雨函, 唐艳艳, 张晓军, 王晶珊, 乔利仙. 花生籽仁品质性状高通量表型分析模型的构建[J]. 作物学报, 2023, 49(3): 869-876.
[10] 殷芳冰, 李雅楠, 鲍建喜, 马雅杰, 秦文萱, 王锐璞, 龙艳, 李金萍, 董振营, 万向元. 玉米雌穗产量相关性状全基因组关联分析与候选基因鉴定[J]. 作物学报, 2023, 49(2): 377-391.
[11] 刘俊华, 吴正锋, 党彦学, 于天一, 郑永美, 万书波, 王才斌, 李林. 密度对不同株型花生单粒精播群体质量及产量的影响[J]. 作物学报, 2023, 49(2): 459-471.
[12] 郭建斌, 成良强, 李威涛, 刘念, 罗怀勇, 丁膺宾, 喻博伦, 陈伟刚, 黄莉, 周小静, 雷永, 廖伯寿, 姜慧芳. 花生蔗糖含量与蛋白质和含油量的相关性分析及蔗糖含量QTL定位[J]. 作物学报, 2023, 49(10): 2698-2704.
[13] 丁红, 张智猛, 徐扬, 张冠初, 郭庆, 秦斐斐, 戴良香. 氮素缓解花生干旱胁迫的生理和转录调控机制[J]. 作物学报, 2023, 49(1): 225-238.
[14] 张胜忠, 胡晓辉, 慈敦伟, 杨伟强, 王菲菲, 邱俊兰, 张天雨, 钟文, 于豪諒, 孙冬平, 邵战功, 苗华荣, 陈静. 基于三维模型重构的花生网纹厚度性状QTL分析[J]. 作物学报, 2022, 48(8): 1894-1904.
[15] 白冬梅, 薛云云, 黄莉, 淮东欣, 田跃霞, 王鹏冬, 张鑫, 张蕙琪, 李娜, 姜慧芳, 廖伯寿. 不同花生品种芽期耐寒性鉴定及评价指标筛选[J]. 作物学报, 2022, 48(8): 2066-2079.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2