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中国早熟地区高粱[(L.)Moench]基因型-环境-播种日期/种植密度互作的解读

Interpretation of genotype-environment-sowing date/plant density interaction in sorghum [ (L.) Moench] in early mature regions of China.

作者信息

Gao Fang-Chao, Yan Hong-Dong, Gao Yue, Huang Yan, Li Mo, Song Guo-Liang, Ren Yue-Mei, Li Ji-Hong, Jiang Yan-Xi, Tang Yu-Jie, Wang Ying-Xia, Liu Tao, Fan Guang-Yu, Wang Zhen-Guo, Guo Rui-Feng, Meng Fan-Hua, Han Fen-Xia, Jiao Shao-Jie, Li Gui-Ying

机构信息

National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.

Crop Resources Institute of Heilongjiang Academy of Agricultural Sciences, Harbin, China.

出版信息

Front Plant Sci. 2022 Sep 21;13:1008198. doi: 10.3389/fpls.2022.1008198. eCollection 2022.

Abstract

Sorghum [ (L.) Moench] is an important crop for food security in semiarid and arid regions due to its high tolerance to abiotic and biotic stresses and its good performance in marginal lands with relatively low fertility. To deeply understand the interrelationship among sorghum genotype, environment, sowing dates, and densities in the spring sowing early maturing (SSEM) areas of China, and to provide a basis for specifying scientific and reasonable cultural practices, a two-year field experiment was conducted with six popular varieties at six locations. Combined ANOVA showed that the yield difference between years was significant (); the yield differences among locations, varieties, sowing dates, and densities were all highly significant (). The variety effect was mainly influenced by location, year, sowing dates and their interactions. The sowing effect was mainly influenced by the location, year, variety and their interactions The plant density effect was significantly influenced by location and location-year interaction. Of the contributions of various test factors to yield variance, the location was the largest one (38.18%), followed by variety (12.31%), sowing date (1.53%), density (0.54%), and year (0.09%), with all these single factors accounting for 52.65%. The total contribution of all two-factor interactions accounted for 14.24%, among which the greatest contributor was location-hybrid interaction (8.07%). The total contribution of all three-factor interactions accounted for 14.58%, of which year-location-hybrid interaction was the largest contributor (9.02%). Sowing dates significantly affected model of sorghum growth and development, especially during the late period. The key climatic factors affecting yield were different among the six locations. Weather factors during the grain filling stages contributed much more than those during the early stage to grain yield. Mid-maturing varieties are recommended other than early maturing varieties for the SSEM areas even when late sowing occurs. Sowing as early as possible is recommended for areas with very short frost-free period (Harbin, Tongliao, and Datong). Proper delayed sowing is recommended for areas with a relative long frost-free period (Gongzhuling, Baicheng and Zhangjiakou). This research will provide a conducive reference for sorghum production in similar areas.

摘要

高粱[ (L.) Moench]是半干旱和干旱地区粮食安全的重要作物,因其对非生物和生物胁迫具有高度耐受性,且在肥力相对较低的边际土地上表现良好。为深入了解中国春播早熟(SSEM)地区高粱基因型、环境、播种日期和种植密度之间的相互关系,并为确定科学合理的栽培措施提供依据,在六个地点对六个流行品种进行了为期两年的田间试验。联合方差分析表明,年份间产量差异显著();地点、品种、播种日期和种植密度间的产量差异均极显著()。品种效应主要受地点、年份、播种日期及其交互作用的影响。播种效应主要受地点、年份、品种及其交互作用的影响。种植密度效应受地点和地点 - 年份交互作用的显著影响。在各试验因素对产量变异的贡献中,地点最大(38.18%),其次是品种(12.31%)、播种日期(1.53%)、密度(0.54%)和年份(0.09%),这些单因素共占52.65%。所有两因素交互作用的总贡献占14.24%,其中地点 - 杂交组合交互作用贡献最大(8.07%)。所有三因素交互作用的总贡献占14.58%,其中年份 - 地点 - 杂交组合交互作用贡献最大(9.02%)。播种日期显著影响高粱生长发育模式,尤其是后期。六个地点影响产量的关键气候因素各不相同。灌浆期的天气因素对籽粒产量的贡献远大于前期。即使晚播,SSEM地区也推荐种植中熟品种而非早熟品种。无霜期极短的地区(哈尔滨、通辽和大同)建议尽早播种。无霜期相对较长的地区(公主岭、白城和张家口)建议适当晚播。本研究将为类似地区的高粱生产提供有益参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d2/9533098/081320f1a7fc/fpls-13-1008198-g001.jpg

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