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利用AMMI模型和稳定性统计方法检测不同氮素水平下优质水稻基因型及产量稳定性

Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics.

作者信息

Abdelrahman Mohamed, Alharbi Khadiga, El-Denary Medhat E, Abd El-Megeed Taher, Naeem El-Sayed, Monir Samah, Al-Shaye Najla A, Ammar Megahed H, Attia Kotb, Dora Said A, Draz Abdel-Salam E

机构信息

Rice Research and Training Center, Field Crops Research Institute, Agricultural Research Center, Kafrelsheikh 33717, Egypt.

Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

出版信息

Plants (Basel). 2022 Oct 19;11(20):2775. doi: 10.3390/plants11202775.

Abstract

Sustainable agriculture is a prerequisite for food and environmental security. Chemical fertilization, especially nitrogenous fertilization, is considered the most consumed for field crops. In rice crops, plants consume much less than half of the applied N-fertilizer. In the current investigation, multiple N environments were generated by applying different N doses of urea fertilizer to a permanent transplanted field for two successive summer growing seasons at the rice research and training center, Kafrelsheikh, Egypt. A set of 55 genotypes consisting of 25 Jabonica, 4 Tropical Japonica, 20 Indica, and 6 Indica/Japonica were transplanted under no N (0N), Low N (LN), medium N (MN), and High N (HN) (i.e., 0, 48, 96, and 165 Kg N ha, respectively). Highly significant differences were detected among the tested genotypes. AMMI analysis of variance revealed the existence of the genotype via nitrogen interaction (GNI) on yield performance. The GNI principal components (IPCA); IPCA1 and IPCA2 scores were significant and contributed values of 71.1 and 21.7%, respectively. The highest-ranked genotypes were MTU1010, IR22, SK2046, SK2058, IR66, and Yabani LuLu based on their grain yield means (30.7, 29.9, 29.5, 29.3, 28.8, and 28.5 g plant). These genotypes were grouped into the same subcluster (SCL) according to the stability analysis ranking matrix. Based on AMMI analysis and biplots, MTU1010 and Yabani LuLu showed yield stability across environments. Meanwhile, the which-won-where biplot showed that IR22 was superior under unfavorable N-levels and MTU1010 was stable across the different environments. These findings are considered to be of great importance to breeders for initiating low-nitrogen-input breeding programs for sustainable agriculture.

摘要

可持续农业是粮食和环境安全的先决条件。化学施肥,尤其是氮肥,被认为是大田作物消耗最多的肥料。在水稻作物中,植株吸收的氮肥还不到施用量的一半。在本次调查中,埃及卡夫勒谢赫水稻研究与培训中心在一块长期移栽田连续两个夏季生长季节施用不同剂量的尿素肥料,创造了多种氮环境。一组由25个粳稻品种、4个热带粳稻品种、20个籼稻品种和6个籼粳杂交品种组成的55个基因型在不施氮(0N)、低氮(LN)、中氮(MN)和高氮(HN)(即分别为0、48、96和165千克氮/公顷)条件下进行移栽。在测试的基因型之间检测到了极显著差异。AMMI方差分析揭示了基因型与氮素互作(GNI)对产量表现的影响。GNI主成分(IPCA);IPCA1和IPCA2得分显著,贡献率分别为71.1%和21.7%。根据籽粒产量均值(30.7、29.9、29.5、29.3、28.8和28.5克/株),排名最高的基因型是MTU1010、IR22、SK2046、SK2058、IR66和Yabani LuLu。根据稳定性分析排名矩阵,这些基因型被归为同一亚群(SCL)。基于AMMI分析和双标图,MTU1010和Yabani LuLu在不同环境下表现出产量稳定性。同时,“在哪胜出”双标图显示,IR22在不利氮水平下表现优异,MTU1010在不同环境下都很稳定。这些发现对育种者启动可持续农业的低氮投入育种计划具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3662/9611647/6b779f52483a/plants-11-02775-g001.jpg

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