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杨锐1,陈敬东1,黄郢1,张学昆1,2,周登文3,刘清云4,徐劲松1,谢伶俐1, 许本波1,*
Yang Rui1,Chen Jing-Dong1,Huang Ying1,Zhang Xue-Kun1,2,Zhou Deng-Wen3,Liu Qing-Yun4,Xu Jing-Song1,Xie Ling-Li1,*,Xu Ben-Bo1,*
摘要: 为揭示长江中游冬油菜主要气象因子及重要农艺性状对产量形成的影响机制,本研究以北纬30°为界,系统比较分析该纬度线南北两侧冬油菜生态适应性与产量主导因子的异同,旨在为优化区域品种选育与精准栽培管理提供理论依据与实践指导。本研究选取2006—2007、2009—2010、2016—2017和2019—2020等4个气候条件差异显著、涵盖典型油菜生长季节气候类型(温暖干燥、偏冷湿润、气候波动强)的年份,作为代表性试验年度,在北纬30°以北与北纬30°以南共6个国家冬油菜区域试验站点,收集全部参试品种的重要农艺性状,并结合气象数据,通过多元统计方法,解析区域气象因子差异及其对产量的影响、重要农艺性状的差异及其与产量的协同关系。结果表明,北纬30°以北地区冬季气温更低、昼夜温差更大、降水量相对较少、日照时数前期较少后期较多;而北纬30°以南地区则相对温暖但后期多雨寡照,两地区气候差异显著。北纬30°以北地区平均产量比北纬30°以南地区高779.1 kg hm?2 (P < 0.01),北纬30°以北地区单株产量和角果数显著高于北纬30°以南地区,但病害压力较大。逐步回归分析显示,北纬30°以北地区产量主要受4月份降水等因素影响;而北纬30°以南地区则主要受12月份日照时数和3月份降水量影响。北纬30°以北地区产量主要由单株产量和每角粒数直接决定,分枝数则为主要负向因子;而北纬30°以南地区则更依赖单株产量与千粒重的协同作用,同时需控制分枝数与千粒重的负向效应。广适性品系0112、9ZYYP27、科乐油4号在南北两区均表现优异;而品系华68P25、渝华7号、越优577等则表现出明显的地域专适性。长江中游北纬30°两侧冬油菜生态区在气候资源、产量构成及主导性状上存在显著分化,区域光温水格局显著影响产量形成机制。北纬30°以北地区应注重苗期光照利用与后期排涝,优选耐渍、抗菌核病强、分枝数较少、单株产量高、粒数粒重兼优的品种;北纬30°以南地区则应重视中后期光照利用,注意选育高光效、耐渍、分枝数少、单株产量高、粒数多、含油量高品种。建议构建“广适性+专适性”相结合的区域化品种推广体系,协同推进精准育种与高效栽培,以实现长江中游冬油菜高产、稳产与绿色可持续发展。
| [1] 王汉中. 以新需求为导向的油菜产业发展战略. 中国油料作物学报, 2018, 40: 613–617. Wang H Z. New-demand oriented oilseed rape industry developing strategy. Chin J Oil Crop Sci, 2018, 40: 613–617 (in Chinese with English abstract). [2] 何永强, 张金盔, 徐劲松, 等. 14-羟基芸苔素甾醇生长调节剂对油菜生长和产量的影响. 中国农业科学, 2024, 57: 1444–1454. He Y Q, Zhang J K, Xu J S, et al. Effect of 14-hydroxylated brassinosteroids growth regulator on growth and yield of rapeseed. Sci Agric Sin, 2024, 57: 1444–1454 (in Chinese with English abstract). [3] 宁宁, 莫娇, 胡冰, 等. 长江流域不同生态区油菜籽关键品质比较研究. 作物学报, 2023, 49: 3315–3327. Ning N, Mo J, Hu B, et al. Comparative study on the processing quality of winter rape in different ecological zones of the Yangtze River valley. Acta Agron Sin, 2023, 49: 3315–3327 (in Chinese with English abstract). [4] Yang X Q, Liu Y, Bezama A, et al. Two birds with one stone: a combined environmental and economic performance assessment of rapeseed-based biodiesel production. GCB Bioenergy, 2022, 14: 215–241. [5] 李谷成, 牛秋纯, 冷博峰, 等. 新时代十年: 我国油菜产业发展与路径选择. 中国油料作物学报, 2024, 46: 228–235. Li G C, Niu Q C, Leng B F, et al. The decade of rapeseed industry in the new era: development and its path choice. Chin J Oil Crop Sci, 2024, 46: 228–235 (in Chinese with English abstract). [6] Huang J D, Cao X Y, Kuai J, et al. Evaluation of production capacity for rice-rapeseed cropping system in China. Field Crops Res, 2023, 293: 108842. [7] Zandberg J D, Fernandez C T, Danilevicz M F, et al. The global assessment of oilseed Brassica crop species yield, yield stability and the underlying genetics. Plants, 2022, 11: 2740. [8] Kirkegaard J A, Lilley J M, Berry P M, et al. Crop physiology case histories for major crops. Massachusetts: Academic Press, 2021. pp 518–549. [9] 郑娟, 黄凰, 廖宜涛, 等. 长江中游地区油菜生产全程机械化技术进展与建议. 中国油料作物学报, 2024, 46: 245–259. Zheng J, Huang H, Liao Y T, et al. Progress and suggestions on full mechanization of rapeseed production in the middle reaches of the Yangtze River. Chin J Oil Crop Sci, 2024, 46: 245–259 (in Chinese with English abstract). [10] 左萃宸, 曾涛, 何永强, 等. 长江中游南部油菜产区低产原因及育种对策. 中国油料作物学报, 2024, 46: 969–976. Zuo C C, Zeng T, He Y Q, et al. Causes of low yield and breeding countermeasures in rapeseed producing areas in the middle reaches of the Yangtze River. Chin J Oil Crop Sci, 2024, 46: 969–976 (in Chinese with English abstract). [11] 普多旺, 拉瓜登顿, 盛敏, 等. 中国北纬30°地面太阳光谱观测. 光谱学与光谱分析, 2023, 43: 1881–1887. Pu D W, Lagua D D, Sheng M, et al. Surface solar spectral observation along 30°N in China. Spectrosc Spect Anal, 2023, 43: 1881–1887 (in Chinese with English abstract). [12] 陈晓阳. 北纬30°—优质茶叶产区带. 国土资源导刊, 2005, 2(3): 56–57. Chen X Y. 30° north latitude-high quality tea producing area. Land & resources Her, 2005, 2(3): 56–57 (in Chinese with English abstract). [13] Zhu C W, Zhou X J, Zhao P, et al. Onset of East Asian subtropical summer monsoon and rainy season in China. Sci China Earth Sci, 2011, 54: 1845–1853. [14] Zhou B T, Wang H J. Relationship between the boreal spring Hadley circulation and the summer precipitation in the Yangtze River valley. J Geophys Res Atmos, 2006, 111: 2005JD007006. [15] Day J A, Fung I, Liu W H. Changing character of rainfall in Eastern China, 1951–2007. Proc Natl Acad Sci USA, 2018, 115: 2016–2021. [16] LinHo L H, Huang X L, Lau N C. Winter-to-spring transition in east Asia: a planetary-scale perspective of the South China spring rain onset. J Clim, 2008, 21: 3081–3096. [17] Gao H, Yang S, Kumar A, et al. Variations of the East Asian Mei-yu and simulation and prediction by the NCEP climate forecast system. J Clim, 2011, 24: 94–108. [18] Gu W, Wang L, Hu Z Z, et al. Interannual variations of the first rainy season precipitation over South China. J Clim, 2018, 31: 623–640. [19] Yao X P, Ma J L, Zhang D L, et al. A 33-yr Meiyu-season climatology of shear lines over the Yangtze-Huai River Basin in Eastern China. J Appl Meteor Climatol, 2020, 59: 1125–1137. [20] Hu Y J, Zhu X Y, Ha Y, et al. Another source of error in simulating or predicting Meiyu: a case study. Theor Appl Climatol, 2024, 155: 9833–9846. [21] Wu W, Shah F R, Ma B L. Understanding of crop lodging and agronomic strategies to improve the resilience of rapeseed production to climate change. Crop Environ, 2022, 1: 133–144. [22] Raza A. Eco-physiological and biochemical responses of rapeseed (Brassica napus L.) to abiotic stresses: consequences and mitigation strategies. J Plant Growth Regul, 2021, 40: 1368–1388. [23] 谢伶俐, 韦丁一, 章子爽, 等. 甘蓝型油菜发育进程中赤霉素动态变化及其与产量的关系. 中国农业科学, 2022, 55: 4793–4807. Xie L L, Wei D Y, Zhang Z S, et al. Dynamic changes of gibberellin content during the development and its relationship with yield of Brassica napus L. Sci Agric Sin, 2022, 55: 4793–4807 (in Chinese with English abstract). [24] 高少凡, 韦丁一, 何庆彪, 等. 甘蓝型油菜苗期赤霉素含量及其代谢关键基因转录特性. 中国油料作物学报, 2024, 46: 1240–1250. Gao S F, Wei D Y, He Q B, et al. Gibberellin metabolism level and key gene transcription characteristics at seedling stage of Brassica napus L. Chin J Oil Crop Sci, 2024, 46: 1240–1250 (in Chinese with English abstract). [25] Jaime R, Alcántara J M, Manzaneda A J, et al. Climate change decreases suitable areas for rapeseed cultivation in Europe but provides new opportunities for white mustard as an alternative oilseed for biofuel production. PLoS One, 2018, 13: e0207124. [26] 丛日环, 张智, 鲁剑巍. 长江流域不同种植区气候因子对冬油菜产量的影响. 中国油料作物学报, 2019, 41: 894–903. Cong R H, Zhang Z, Lu J W. Climate impacts on yield of winter oilseed rape in different growth regions of the Yangtze River Basin. Chin J Oil Crop Sci, 2019, 41: 894–903 (in Chinese with English abstract). [27] 张学昆, 张春雷, 廖星, 等. 2008年长江流域油菜低温冻害调查分析. 中国油料作物学报, 2008, 30: 122–126. Zhang X K, Zhang C L, Liao X, et al. Investigation on 2008'low temperature and freeze injure on winter rape along Yangtze River. Chin J Oil Crop Sci, 2008, 30: 122–126 (in Chinese with English abstract). [28] Kutcher H R, Warland J S, Brandt S A. Temperature and precipitation effects on canola yields in Saskatchewan, Canada. Agric For Meteor, 2010, 150: 161–165. [29] 何泽威, 丁晓雨, 徐劲松, 等. 播种期降水偏多对油菜重要农艺性状和产量的影响. 中国油料作物学报, 2024, 46: 92–101. He Z W, Ding X Y, Xu J S, et al. Effect of autumn continuously rainy weather which cause waterlogging in rapeseed (Brassica napus L.) traits and yield. Chin J Oil Crop Sci, 2024, 46: 92–101 (in Chinese with English abstract). [30] 陈于婷, 丁晓雨, 许本波, 等. 气候变暖对冬油菜产量、品质及重要农艺性状的影响. 作物学报, 2025, 51: 516–525. Chen Y T, Ding X Y, Xu B B, et al. Effects of climate warming on yield, quality-related and agronomic traits of winter rapeseed (Brassica napus L.). Acta Agron Sin, 2025, 51: 516–525 (in Chinese with English abstract). [31] Gopal A, Veerasamy R, Dhashnamurthi V, et al. Enhancing drought tolerance in okra through melatonin application: a comprehensive study of physiological, biochemical and metabolic responses. Not Bot Horti Agrobo, 2024, 52: 14055. [32] Guntukula R. Assessing the impact of climate change on Indian agriculture: Evidence from major crop yields. J Public Aff, 2020, 20: e2040. [33] 刘海卿, 孙万仓, 刘自刚, 等. 北方不同生态区白菜型冬油菜农艺性状变化分析. 中国生态农业学报, 2015, 23: 694–704. Liu H Q, Sun W C, Liu Z G, et al. Analysis of agronomic traits of winter rapeseed (Brassica campestris L.) in different ecological areas of North China. Chin J Eco-Agric, 2015, 23: 694–704 (in Chinese with English abstract). [34] Huang J, Zhou L M, Zhang F M, et al. Responses of yield fluctuation of winter oilseed rape to climate anomalies in South China at provincial scale. Int J Plant Prod, 2020, 14: 521–530. [35] Dron N, Simpfendorfer S, Sutton T, et al. Cause of death: Phytophthora or flood? effects of waterlogging on Phytophthora medicaginis and resistance of chickpea (Cicer arietinum). Agronomy, 2022, 12: 89. [36] Liang J P, Li H, Li N, et al. Analysis and prediction of the impact of socio-economic and meteorological factors on rapeseed yield based on machine learning. Agronomy, 2023, 13: 1867. [37] Butkeviciene L M, Kriauciuniene Z, Pupaliene R, et al. Influence of sowing time on yield and yield components of spring rapeseed in Lithuania. Agronomy, 2021, 11: 2170. [38] Wang X L, Li L, Wang C Y, et al. Micro-ridge-furrow planting increases rapeseed yield and resource utilization efficiency through optimizing field microenvironment and light-nitrogen matching. Crop J, 2025, 13: 587–596. [39] 蒙祖庆, 宋丰萍, 霍嘉慧, 等. 高原气候下西藏不同熟期甘蓝型春油菜光温资源利用效率比较分析. 中国油料作物学报, 2023, 45: 63–71. Meng Z Q, Song F P, Huo J H, et al. Comparative analysis on light-temperature resource use efficiency of spring rapeseed (Brassica napus) differing in maturity in China Tibet under plateau climate. Chin J Oil Crop Sci, 2023, 45: 63–71 (in Chinese with English abstract). [40] Saroj R, Soumya S L, Singh S, et al. Unraveling the relationship between seed yield and yield-related traits in a diversity panel of Brassica juncea using multi-traits mixed model. Front Plant Sci, 2021, 12: 651936. [41] Chang T, Wu J J, Wu X P, et al. Comprehensive evaluation of high-oleic rapeseed (Brassica napus) based on quality, resistance, and yield traits: a new method for rapid identification of high-oleic acid rapeseed germplasm. PLoS One, 2022, 17: e0272798. [42] Radic V, Balalic I, Krstic M, et al. Correlation and path analysis of yield and yield components in winter rapeseed. Genetika, 2021, 53: 157–166. [43] Pal L, Sandhu S K, Bhatia D, Sethi S. Genome-wide association study for candidate genes controlling seed yield and its components in rapeseed (Brassica napus subsp. napus). Physiol Mol Biol Plants, 2021, 27: 1933–1951. [44] Sadat Hashemi P, Mohammadi A, Alizadeh B, et al. Simultaneous selection of oil yield and other agronomic characteristics in winter rapeseed hybrids. Jcb, 2023, 15: 60–68. [45] Gholizadeh A, Oghan H A, Alizadeh B, et al. Phenotyping new rapeseed lines based on multiple traits: Application of GT and GYT biplot analyses. Food Sci Nutr, 2023, 11: 853–862. [46] Li Q, Luo T, Cheng T, et al. Evaluation and screening of rapeseed varieties (Brassica napus L.) suitable for mechanized harvesting with high yield and quality. Agronomy, 2023, 13: 795. [47] Liu S Y, Raman H, Xiang Y, et al. De novo design of future rapeseed crops: Challenges and opportunities. Crop J, 2022, 10: 587–596. [48] Alizadeh B, Rezaizad A, Hamedani M Y, et al. Genotype x environment interactions and simultaneous selection for high seed yield and stability in winter rapeseed (Brassica napus) multi-environment trials. Agric Res, 2022, 11: 185–196. [49] Habib Tabar Shiadeh S S, Feizabadi Y, Kosari-Moghaddam A. To what extent cultivar selection can affect the environmental impact of rapeseed production Environ Sustain Indic, 2025, 26: 100619.
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