欢迎访问作物学报，今天是
作物学报

作物学报

• •    

不同花生品种(系)耐盐碱性田间鉴定及各性状指标相关性研究

迟晓元1,**,刘庆1,2,**,张君2,赵旭红1,李美3,于天一1,潘丽娟1,许静1,姜骁1,殷祥贞1,马俊卿1,陈娜1,*   

  1. 1 山东省花生研究所, 山东青岛266100; 2 吉林农业大学, 吉林长春130118; 3 东营市农业综合服务中心, 山东东营25709
  • 收稿日期:2025-06-29 修回日期:2025-09-10 接受日期:2025-09-10 网络出版日期:2025-09-23
  • 通讯作者: 陈娜, E-mail: chenna7948@163.com
  • 基金资助:
    本研究由山东省重点研发计划(竞争性创新平台)项目(2025CXPT167), 泰山学者工程项目(NO.tstp20240523, NO.tsqn202312292), 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), 山东省自然科学基金项目(ZR2023QC146, ZR2023QC177), 新疆维吾尔自治区重大科技专项(2022A02008-3), 农业农村部油料作物生物学与遗传育种重点实验室项目(KF2024007), 山东省农业科学院农业科技创新工程项目(CXGC2025F19, CXGC2025C19), 山东省农业科学院齐鲁农科英才工程(创新类)项目, 山东省重点研发计划项目(2024LZGC035)和东营市科技创新重大专项科技发展指导计划项目(2024ZDJH100)资助。

Field evaluation of salt-alkaline tolerance and trait correlation analysis in different peanut varieties (lines)

CHI Xiao-Yuan1,**,LIU Qing1,2,**,ZHANG Jun2,ZHAO Xu-Hong1,LI Mei3,YU Tian-Yi1,PAN Li-Juan1,XU Jing1,JIANG Xiao1,YIN Xiang Zhen1,MA Jun-Qing1,CHEN Na1,*   

  1. 1 Shandong Peanut Research Institute, Qingdao 266100, Shandong, China;2 Jilin Agricultural University, Changchun 130118, Jilin, China;3 Dongying Agricultural Integrated Service Center, Dongying 257091, Shandong, China
  • Received:2025-06-29 Revised:2025-09-10 Accepted:2025-09-10 Published online:2025-09-23
  • Contact: 陈娜, E-mail: chenna7948@163.com
  • Supported by:
    This study was supported by Shandong Province Key Research and Development Programme (Competitive Innovation Platform) Project (2025CXPT167), the Taishan Scholar Project Funding (NO.tstp20240523, NO.tsqn202312292), the China Agriculture Research System of MOF and MARA (CARS-13), the Natural Science Foundation of Shandong Province (ZR2023QC146, ZR2023QC177), the Major Scientific and Technological Project in Xinjiang (2022A02008-3), the Open Project of Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs (KF2024007), the Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences (CXGC2025F19, CXGC2025C19), the Qilu Agricultural Talent Project (Innovative Category) of Shandong Academy of Agricultural Sciences, Shandong Province Key Research and Development Programme Project (2024LZGC035), and the Science and Technology Development Guidance Plan of Dongying Major Science and Technology Innovation Project (2024ZDJH100).

PDF

3

摘要：

为了鉴定优质、耐盐碱的花生品种(系)，本研究连续2年在黄河三角洲试验基地种植29个花生品种(系)，并对它们的农艺性状和产量、品质性状进行了研究，利用主成分、隶属函数和系统聚类分析鉴选优质耐盐碱的花生品种(系)。结果表明，油亚比和亚油酸含量变异最大，而脂肪和蛋白质含量及出仁率的变异较小；主茎高和侧枝长分别与荚果产量和籽仁产量极显著正相关，油酸和亚油酸含量分别与百仁重呈显著负相关和正相关关系；花生的产量性状(出仁率、荚果产量、籽仁产量)与农艺性状(结果枝数、主茎高、侧枝长)和品质性状(蛋白质含量、脂肪含量、油酸含量、亚油酸含量)均相关。综合分析结果表明，P16-22、花育9147、花育9141、花育9118、花育9121、花育60、花育9125和花育9124在盐碱地表现优异，花育656、P18-82、P18-43和P17-18在盐碱地表现较差，且前者的荚果产量和籽仁产量显著大于后者。本研究结果可为花生耐盐碱育种亲本选择及特异种质资源筛选提供材料。

关键词: 花生品种(系), 耐盐碱, 农艺性状, 产量, 品质, 综合分析

Abstract:

To identify high-quality peanut varieties (lines) with tolerance to salt-alkaline stress, 29 peanut varieties (lines) were cultivated over two consecutive years at an experimental site in the Yellow River Delta. Their agronomic characteristics, as well as yield and quality traits, were systematically evaluated. A comprehensive screening approach combining principal component analysis (PCA), membership function analysis, and hierarchical cluster analysis was used to identify superior salt-alkaline-tolerant varieties. The results revealed that the oleic acid to linoleic acid ratio (O/L ratio) and linoleic acid content showed the greatest variation, while fat content, protein content, and shelling percentage exhibited relatively smaller differences. Main stem height and lateral branch length were significantly positively correlated with pod yield and kernel yield, respectively. Oleic acid content was significantly negatively correlated with 100-kernel weight, whereas linoleic acid content showed a significant positive correlation. Peanut yield traits (kernel rate, pod yield, and kernel yield) were closely associated with both agronomic traits (number of fruiting branches, main stem height, lateral branch length) and quality traits (protein content, fat content, oleic acid content, and linoleic acid content). Comprehensive analysis indicated that varieties P16-22, Huayu 9147, Huayu 9141, Huayu 9118, Huayu 9121, Huayu 60, Huayu 9125, and Huayu 9124 performed exceptionally well in saline-alkali soil conditions, whereas Huayu 656, P18-82, P18-43, and P17-18 showed poor adaptability. The former group produced significantly higher pod and kernel yields than the latter. These findings provide valuable genetic resources for breeding salt-alkaline-tolerant peanut varieties and offer useful references for parental selection in future breeding programs.

Key words: peanut varieties (lines), salt-alkali tolerance, agronomic traits, yield, quality, comprehensive analysis

[1] 韩艳红, 杨海棠, 胡延岭, 刘软枝, 石彦召, 李盼, 于沐, 朱桢桢. 基于隶属函数法对大粒高油花生品种品质的综合评价. 花生学报, 2024, 53(3): 68–72.

Han Y H, Yang H T, Hu Y L, Liu R Z, Shi Y Z, Li P, Yu M, Zhu Z Z. Comprehensive evaluation of the quality of large-kernel and high-oil peanut varieties by membership function method. J Peanut Sci, 2024, 52(3): 68–72 (in Chinese with English abstract).

[2] 黄冰艳, 张新友, 董文召, 臧秀旺, 苗利娟, 刘华, 高伟, 韩锁义, 汤丰收. 河南省花生地方资源蛋白质和脂肪含量分析及育种利用策略. 植物遗传资源学报, 2012, 13: 414–417.
Huang B Y, Zhang X Y, Dong W Z, Zang X W, Miao L J, Liu H, Gao W, Han S Y Tang F S. Profiling of quality characteristics for peanut germplasm from Henan province and its breeding strategy. J Plant Genet Resour, 2012,13: 414–417 (in Chinese with English abstract).

[3] Janila P, Nigam S N, Pandey M K, Nagesh P, Varshney R K. Groundnut improvement: use of genetic and genomic tools. Front Plant Sci, 2013, 4: 23.

[4] Li W L, Yoo E, Lee S, Sung J, Noh H J, Hwang S J, Desta K T, Lee G A. Seed weight and genotype influence the total oil content and fatty acid composition of peanut seeds. Foods, 2022, 11: 3463.

[5] 房元瑾, 孙子淇, 苗利娟, 齐飞艳, 黄冰艳, 郑峥, 董文召, 汤丰收, 张新友. 花生籽仁外观和营养品质特征及食用型花生育种利用分析. 植物遗传资源学报, 2018, 19: 875–886.
Fang Y J, Sun Z Q, Miao L J, Qi F Y, Huang B Y, Zheng Z, Dong W Z, Tang F S, Zhang X Y. Characterization of kernel appearance and nutritional quality in peanut accessions and its application for food-use peanut breeding. J Plant Genet Resour, 2018, 19: 875–886 (in Chinese with English abstract).

[6] 周小静, 任小平, 黄莉, 罗怀勇, 陈玉宁, 刘念, 陈伟刚, 廖伯寿, 雷永, 姜慧芳. 花生种质资源研究进展与展望. 植物遗传资源学报, 2020, 21: 33–39.·
Zhou X J, Ren X P, Huang L, Luo H Y, Chen Y N, Liu N,Chen W G, Liao B S, Lei Y, Jiang H F. Research progress and prospect for peanut germplasm resources. J Plant Genet Resour, 2020, 21: 33–39 (in Chinese with English abstract).

[7] 高华鑫, 张佳蕾, 王建国, 慈敦伟, 杨莎, 唐朝辉, 郭峰, 刘珂珂, 万书波. 盐碱地花生高产栽培研究进展及面临的挑战. 山东农业科学, 2024, 56(9): 142–148.
Gao H X, Zhang J L, Wang J G, Ci D W, Yang S, Tang Z H, Guo F, Liu K K, Wan S B. Research progress and challenge of high-yield cultivation of peanut in saline-alkali lands. Shandong Agric Sci, 2024, 56(9): 142–148 (in Chinese with English abstract).

[8] 王生态, 赵宝勰, 杜世坤, 李雨阳, 余华林, 李榕鑫. 中度盐碱地胡麻耐盐性鉴定及品种筛选. 作物杂志, 2025, (4): 111–117.

Wang S T, Zhao B X, Du S K, Li Y Y, Yu H L, Li R X. Identification of salt tolerance and variety screening of flax in moderately saline-alkali soil. Crop Res, 2025, (4): 111–117 (in Chinese with English abstract).

[9] 杨吉顺, 唐朝辉, 徐扬, 李尚霞, 崔利, 司彤, 郭峰, 慈敦伟. 丛枝菌根真菌和过磷酸钙对盐碱、非盐碱土壤花生产量和品质的影响. 中国油料作物学报, 2020, 42: 1019–1025.
Yang J S, Tang Z H, Xu Y, Li S X, Cui L, Si T, Guo F, Ci D W. Effects of arbuscular mycorrhizal fungi and superphosphate on yield and quality of peanut in saline and non-saline soil. Chin J Oil Crop Sci, 2020, 42: 1019–1025 (in Chinese with English abstract).

[10] 胡炎, 杨帆, 杨宁, 贾伟, 崔勇. 盐碱地资源分析及利用研究展望. 土壤通报, 2023, 54: 489–494.
Hu Y, Yang F, Yang N, Jia W, Cui Y. Analysis and prospects of saline-alkali land in China from the perspective of utilization. Chin J Soil Sci, 2023, 54: 489–494 (in Chinese with English abstract).

[11] 慈敦伟, 张智猛, 丁红, 宋文武, 符方平, 康涛, 戴良香. 花生苗期耐盐性评价及耐盐指标筛选. 生态学报, 2015, 35: 805–814.
Ci D W, Zhang Z M, Ding H, Song W W, Fu F P, Kang T, Dai L X. Evaluation and selection indices of salinity tolerance in peanut seedling. Acta Ecol Sin, 2015, 35: 805–814 (in Chinese with English abstract).

[12] Salwa A R, Shaban K A, Tantawy M F. Studies on salinity tolerance of two peanut cultivars in relation to growth, leaf water content. some chemical aspects and yield. J Appl Sci Res, 2010, 6: 1517–1526.

[13] 陈杨, 吕玉英, 杨会, 张秀荣, 张昆, 刘风珍, 万勇善. 水培法鉴定花生苗期耐盐性研究. 山东农业科学, 2019, 51(9): 125–131.
Chen Y, Lyu Y Y, Yang H, Zhang X Y, Zhang K, Liu F Z, Wan Y S. Study on salt tolerance identification of peanut at seedling stage by hydroponics. Shandong Agric Sci, 2019, 51(9): 125–131 (in Chinese with English abstract).

[14] 苏江顺, 王传堂, 程学良, 杨君, 王志伟, 彭浩, 谭程友, 邵俊飞, 杨同荣. 耐盐碱高油酸花生田间鉴定筛选研究. 山东农业科学, 2017, 49(6): 17–20.
Su J S, Wang C T, Cheng X L, Yang J, Wang Z W, Peng H, Tan C Y, Shao J F, Yang T R. Field screening of high oleic acid peanuts with salt and alkaline tolerance. Shandong Agric Sci, 2017, 49(6): 17–20 (in Chinese with English abstract).

[15] 王传堂, 王秀贞, 唐月异, 吴琪, 孙全喜, 黄粤, 翟晓灵. 耐盐碱花生品种(系)田间筛选鉴定. 山东农业科学, 2015, 47(11): 18–22.
Wang C T, Wang X Z, Tang Y Y, Wu Q, Sun Q X, Huang Y, Zhai X L. Field screening of salt- and alkali- tolerant peanut varieties. Shandong Agric Sci, 2015, 47(11): 18–22 (in Chinese with English abstract).

[16] 李晶晶, 王金秀, 曹议丹, 任建军, 许少辉, 唐艳艳, 王晶珊, 乔利仙. 高油酸花生萌发期和苗期耐盐碱性鉴定及评价. 中国农学通报, 2024, 40(15): 44–52.
Li J J, Wang J X, Cao Y D, Ren J J, Xu S H, Tang Y Y, Wang J S, Qiao L X. Peanut with high oleic acid content: identification and evaluation of salt-alkaline tolerance during germination and seedling stage. Chin Agric Sci Bull, 2024, 40(15): 44–52 (in Chinese with English abstract).

[17] 张智猛, 慈敦伟, 丁红, 宋文武, 符方平, 康涛, 戴良香. 花生品种耐盐性指标筛选与综合评价. 应用生态学报, 2013, 24: 3487–3494.
Zhang Z M, Ci D W, Ding H, Song W W, Fu F P, Kang T, Dai L X. Indices selection and comprehensive evaluation of salinity tolerance for peanut varieties. Chin J Appl Ecol, 2013, 24: 3487–3494 (in Chinese with English abstract).

[18] 许婷婷, 王子强, 任增凯, 万菲菲, 王冕, 陈明娜, 潘丽娟, 王通, 禹山林, 陈静, 等. 盐碱地种植高油酸花生品种(系)产量品质性状分析. 花生学报, 2019, 48(1): 48–51.
Xu T T, Wang Z Q, Ren Z K, Wan F F, Wang M, Chen M N, Pan L J, Wang T, Yu S L, Chen J, et al. Study on yield and quality characters of peanut varieties with high oleic acid in saline and alkaline land. J Peanut Sci, 2019, 48(1): 48–51 (in Chinese with English abstract).

[19] 闫彩霞, 王娟, 赵小波, 宋秀霞, 姜常松, 孙全喜, 苑翠玲, 张浩, 单世华. 全生育期鉴定筛选耐盐碱花生品种. 作物学报, 2021, 47: 556–565.
Yan C X, Wang J, Zhao X B, Song X X, Jiang C S, Sun Q X, Yuan C L, Zhang H, Shan S H. Identification and screening of saline-alkali tolerant peanut cultivars during whole growth stage. Acta Agron Sin, 2021, 47: 556–565 (in Chinese with English abstract).

[20] 王秀贞, 唐月异, 张建成, 崔凤高, 陈殿绪, 迟玉成, 王传堂. 近红外技术分析化学诱变对花生脂肪、蛋白质和蔗糖含量的影响. 花生学报, 2009, 38(4): 5–8.
Wang X Z, Tang Y Y, Zhang J C, Cui F G, Chen D X, Chi Y C, Wang C T. Analying the effect of chemical treatment on oil, protein and sucrose content of peanut with NIRS. J Peanut Sci, 2009, 38(4): 5–8 (in Chinese with English abstract).

[21] 杨军军, 庞洪利, 韩宏伟, 王秀贞, 孙妍, 王志伟, 王传堂. 花生油油酸亚油酸含量近红外模型构建. 农业与技术, 2021, 41(15): 4–7.
Yang J J, Pang H L, Han H W, Wang X Z, Sun Y, Wang Z W, Wang C T. Construction of near infrared model for oleic acid and linoleic acid content in peanut oil. Agric Technol, 2021, 41(15): 4–7 (in Chinese).

[22] 陈雷, 范小玉, 李可, 吴继华. 花生品系主要农艺性状的相关性及聚类分析. 花生学报, 2015, 44(1): 34–38.
Chen L, Fan X Y, Li K, Wu J H. Agronomic characteristics and cluster analysis of peanut cultivars. J Peanut Sci, 2015, 44(1): 34–38 (in Chinese with English abstract).

[23] 阮建, 孙金月, 焦其庆, 单雷, 彭振英. 利用变异系数分析‘凤丹’牡丹籽油脂肪酸组分的遗传稳定性. 山东农业科学, 2018, 50(8): 24–28.
Ruan J, Sun J Y, Jiao Q Q, Shan L, Peng Z Y. Genetic stability analysis of fatty acid composition of Fengdan peony seed oil using variation coefficient. Shandong Agric Sci, 2018, 50(8): 24–28 (in Chinese with English abstract).

[24] Katerji N, van Hoorn J W, Hamdy A, Mastrorilli M. Salt tolerance classification of crops according to soil salinity and to water stress day index. Agric Water Manag, 2000, 43: 99–109.

[25] 陈湘瑜, 徐日荣, 陈昊, 熊发前, 胡润芳, 张玉梅, 林国强. 花生品系主要农艺性状的分析与综合评价. 种子, 2020, 39(9): 84–88.
Chen X Y, Xu R R, Chen H, Xiong F Q, Hu R F, Zhang Y M, Lin G Q. Analysis and comprehensive evaluation of main agronomic traits of peanut lines. Seed, 2020, 39(9): 84–88 (in Chinese with English abstract).

[26] 刘卫星, 张枫叶, 贺群岭, 吴继华, 陈雷, 李可, 范小玉. 我国北方花生品种产量品质性状的综合评价及聚类分析. 江苏农业科学, 2019, 47(12): 103–106.
Liu W X, Zhang F Y, He Q L, Wu J H, Chen L, Li K, Fan X Y. Synthetic evaluation and cluster analysis of yield and quality characters of peanut cultivars in northern China. Jiangsu Agric Sci, 2019, 47(12): 103–106 (in Chinese with English abstract).

[27] 饶庆琳, 姜敏, 刘选轶, 吕建伟, 胡廷会, 成良强, 王金花, 王军. 贵州296份花生种质资源遗传多样性及综合评价. 植物遗传资源学报, 2024, 25: 373–385.
Rao Q L, Jiang M, Liu X Y, Lyu J W, Hu T H, Cheng L Q, Wang J H, Wang J. Genetic diversity and comprehensive evaluation of 296 peanuts germplasm resources in Guizhou. J Plant Genet Resour, 2024, 25: 373–385 (in Chinese with English abstract).

[28] 孙现军, 胡正, 姜雪敏, 王世佳, 陈向前, 张惠媛, 张辉, 姜奇彦. 大豆种质资源苗期耐盐性鉴定评价与筛选. 作物学报, 2024, 50: 2179–2186.
Sun X Q, Hu Z, Jiang X M, Wang S J, Chen X Q, Zhang H Y, Zhang H, Jiang Q Y. Identification evaluation and screening of salt-tolerant of soybean germplasm resources at seedling stage. Acta Agron Sin, 2024, 50: 2179–2186 (in Chinese with English abstract).

[29] 鲁清, 刘浩, 李海芬, 陈小平, 洪彦彬, 刘海燕, 李少雄, 周桂元, 梁炫强. 花生不同株型主要农艺性状的相关分析及其对单株产量的影响. 热带作物学报, 2019, 40: 1115–1121.
Lu Q, Liu H, Li H F, Chen X P, Hong Y B, Liu H Y, Li S X, Zhou G Y, Liang X Q. Correlation analysis of main agronomic traits of different plant types and path analysis of yield per plant in peanut (Arachis hypogaea L.). Chin J Trop Crops, 2019, 40: 1115–1121 (in Chinese with English abstract).

[30] 付江鹏, 柳发财, 闫宝琴, 赵智慧, 李利利, 王永栋, 魏玮, 周英霞. 不同高粱品种适应性综合评价与筛选. 西北农林科技大学学报(自然科学版), 2025, 53(5): 35–46.
Fu J P, Liu F C, Yan B Q, Zhao Z H, Li L L, Wang Y D, Wei W, Zhou Y X. Comprehensive evaluation and screening of adaptability of different sorghum varieties. J Northwest A & F Univ (Nat Sci Edn), 2025, 53(5): 35–46 (in Chinese with English abstract).

[31] 郭敏杰, 邓丽, 苗建利, 任丽. 基于主成分分析的高油酸花生品种品质评价. 分子植物育种, 2023, 21: 8202–8209.
Guo M J, Deng L, Miao J L, Ren L. Quality evaluation of peanut varieties with high-oleic acid based on principal component analysis. Mol Plant Breed, 2023, 21: 8202–8209 (in Chinese with English abstract).

[32] 薛云云, 白冬梅, 田跃霞, 权保全. 24份山西花生资源农艺性状的相关性和主成分分析. 山西农业科学, 2017, 45: 1587–1590.
Xue Y Y, Bai D M, Tian Y X, Quan B Q. Analysis on correlation and principal component of agronomic traits of 24 peanut resources in Shanxi Province. J Shanxi Agric Sci, 2017, 45: 1587–1590 (in Chinese with English abstract).

[33] 李国瑞, 马宏亮, 胡雯媚, 汤永禄, 荣晓椒, 樊高琼. 西南麦区小麦品种萌发期抗旱性的综合鉴定及评价. 麦类作物学报, 2015, 35: 479–487.
Li G R, Ma H L, Hu W M, Tang Y L, Rong X J, Fan G Q. Identification and evaluation of wheat cultivars for drought resistance during germination in southwest area. J Triticeae Crops, 2015, 35: 479–487 (in Chinese with English abstract).

[34] 赵斌, 赵永星, 李双丹, 进茜宁, 陈士林, 褚晓斌. 玉米苗期耐盐胁迫的筛选及综合评价. 河南科技学院学报(自然科学版), 2024, 52(5): 1–7.
Zhao B, Zhao Y X, Li S D, Jin X N, Chen S L, Chu X B. Screening and comprehensive evaluation of salt tolerance in maize seedling stage. J Henan Inst Sci Technol (Nat Sci Edn), 2024, 52(5): 1–7 (in Chinese with English abstract)

[1] 杨姝, 白伟, 蔡倩, 杜桂娟. 玉米‖紫花苜蓿间作群体光分布特征及对植物性状和产量的影响[J]. 作物学报, 2025, 51(9): 2514-2526.
[2] 郭保卫, 王旺, 王开, 王岩, 曾鑫, 景秀, 王晶, 倪新华, 许轲, 张洪程. 长江中下游两类型糯稻高产群体动态特征及超高产形成规律[J]. 作物学报, 2025, 51(9): 2433-2453.
[3] 付江鹏, 柳发财, 闫宝琴, 王永栋, 李利利, 魏玮, 周英霞. 控释肥替代普通尿素对旱作高粱干物质积累分配、产量和品质的影响[J]. 作物学报, 2025, 51(9): 2501-2513.
[4] 张海燕, 解备涛, 董顺旭, 张立明, 段文学. 滴灌条件下不同水溶肥种类和配比对鲜食甘薯产量和品质的影响[J]. 作物学报, 2025, 51(9): 2485-2500.
[5] 杨婷婷, 陈娟, ABDUL Rehman, 李婧, 闫素辉, 汪建来, 李文阳. 花后弱光对软质小麦干物质积累转运、籽粒产量和淀粉品质的影响[J]. 作物学报, 2025, 51(8): 2204-2219.
[6] 樊友众, 王先领, 王宗铠, 王春云, 王天尧, 谢捷, 蒯婕, 汪波, 王晶, 徐正华, 赵杰, 周广生. 秸秆还田耦合氮肥运筹对稻茬油菜光合性能及产量的影响[J]. 作物学报, 2025, 51(8): 2139-2151.
[7] 尤根基, 谢昊, 梁毓文, 李龙, 王玉茹, 蒋晨炀, 郭剑, 李广浩, 陆大雷. 氮肥减施措施对江淮春玉米产量和氮素吸收利用的影响[J]. 作物学报, 2025, 51(8): 2152-2163.
[8] 王曜阔, 王文政, 张敏, 刘希伟, 杨敏, 李昊昱, 张灵鑫, 闫彦菲, 蔡瑞国. 水氮运筹对冬小麦籽粒GMP合成和面粉加工品质的影响[J]. 作物学报, 2025, 51(8): 2176-2189.
[9] 李宜谦, 徐守振, 刘萍, 马麒, 谢斌, 陈红. 基于40K SNP芯片的陆地棉产量构成因素全基因组关联分析及单铃重位点挖掘[J]. 作物学报, 2025, 51(8): 2128-2138.
[10] 李秋云, 李世贵, 范军亮, 刘昊天, 赵晓斌, 吕硕, 王艳浩, 岳云, 张宁, 司怀军. 离子锌和纳米锌对马铃薯生理特性、产量及品质的影响[J]. 作物学报, 2025, 51(7): 1838-1849.
[11] 陈如雪, 孙丽芳, 张芯源, 牟海萌, 张永新, 袁丽雪, 彭仕乐, 王壮壮, 王永华. 秸秆还田与微生物菌剂配施对冬小麦旗叶碳氮代谢及产量形成的影响[J]. 作物学报, 2025, 51(7): 1901-1913.
[12] 王天译, 杨绣娟, 赵佳佳, 郝宇琼, 郑兴卫, 武棒棒, 李晓华, 郝水源, 郑军. 山西小麦醇溶蛋白多样性及其对面粉品质效应研究[J]. 作物学报, 2025, 51(7): 1784-1800.
[13] 霍建喆, 于爱忠, 王玉珑, 王鹏飞, 尹波, 刘亚龙, 张冬玲, 姜科强, 庞小能, 王凤. 有机肥替代化肥对绿洲灌区甜玉米产量、品质及氮素利用的影响[J]. 作物学报, 2025, 51(7): 1887-1900.
[14] 董伟进, 张亚封, 李启云, 路杨, 张正坤, 隋丽. CO2浓度升高条件下球孢白僵菌定殖对玉米生长及产量的影响[J]. 作物学报, 2025, 51(7): 1874-1886.
[15] 吴柳格, 陈坚, 张鑫, 邓艾兴, 宋振伟, 郑成岩, 张卫建. 近二十年国审冬小麦品种的产量与品质性状变化趋势研究[J]. 作物学报, 2025, 51(7): 1814-1826.
Viewed
Full text


Abstract

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