评估氮肥、品种选择、年份及其相互作用对小麦产量和产量成分的影响

Nitrogen Pub Date : 2024-04-09 DOI:10.3390/nitrogen5020018
Oussama Hnizil, Aziz Baidani, Ilham Khlila, N. Nsarellah, A. Amamou
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摘要

这项为期五年(2016-2021 年)的研究针对摩洛哥的地中海气候,调查了氮肥和基因型选择对小麦产量及相关成分的影响。该研究采用分小区设计,评估了五个小麦基因型--"Faraj"、"Luiza"、"Itri"、"Karim "和 "Nassira"--在三种施氮率(120、60和0千克/公顷)下对三十个小区进行的两次重复。氮素与年份之间的交互作用在产量(p = 0.001)、生物量(p = 0.002)、TKW(p = 0.003)和Spk/m2(p = 0.001)方面显示出明显的显著性,突出了不同年份最佳施氮量的差异性。此外,生物量(p = 0.001)和 G/m2 (p = 0.001)在品种和年份之间存在明显的交互作用,表明不同品种在不同年份的表现存在差异。2017年,'Itri'基因型产量最高,而2018年'Luiza'表现突出,'Itri'产生的生物量最多。在 2019 年和 2020 年,'Faraj'在产量和生物量方面表现出了持续的优势。我们的综合主成分分析和二次模型阐明,60 千克/公顷(N2)的中间氮率对'Faraj'和'Karim'基因型特别有利。这些发现凸显了知情氮肥水平调整和基因型选择对产量优化的重大影响。
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Assessing the Impact of Nitrogen Fertilization, Variety Selection, Year and Their Interaction on Wheat Yield and Yield Components
This five-year study (2016–2021) in Morocco’s Mediterranean climate investigated the effect of nitrogen fertilization and genotypic selection on wheat yield and associated components. Utilizing a split-plot design, the study assessed five wheat genotypes—’Faraj’, ‘Luiza’, ‘Itri’, ‘Karim’ and ‘Nassira’—under three nitrogen application rates (120, 60 and 0 kg/ha) across thirty plots with two replicates. Interactions between nitrogen and year showed marked significance in yield (p = 0.001), biomass (p = 0.002), TKW (p = 0.003) and Spk/m2 (p = 0.001), underscoring the variability in optimal nitrogen application rates across different years. Additionally, significant interactions between variety and year were observed for biomass (p = 0.001) and G/m2 (p = 0.001), indicating variability in the performance of different varieties across years. The ‘Itri’ genotype showed the highest yield in 2017, while ‘Luiza’ was pre-eminent in 2018, with ‘Itri’ producing the most biomass. ‘Faraj’ demonstrated consistent superiority in yield and biomass during 2019 and 2020. Our integrated principal component analysis and quadratic models elucidated that an intermediate nitrogen rate of 60 kg/ha (N2) was particularly advantageous for the ‘Faraj’ and ‘Karim’ genotypes. These findings highlight the substantial impact of informed nitrogen level adjustment and genotypic selection on yield optimization.
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