| 1 | 氮素类型对盐胁迫下小麦种子萌发及幼苗生长的影响显示文摘氮素是植物种子萌发和幼苗生长的重要营养素,盐胁迫是广泛存在的非生物环境胁迫因子,探究氮素添加对盐胁迫下植物种子萌发和幼苗生长的影响具有重要意义。因此,本研究基于水培方法,设置了不同类型的氮(氨氮、硝氮、有机氮和混合氮)和盐胁迫水平,拟探究两者复合对小麦种子萌发、幼苗生长和生理生化指标产生的影响。结果表明:氮素类型对盐胁迫下小麦幼苗的影响与氮素类型和盐胁迫水平有关,与低盐相比,氨氮添加显著降低了小麦幼苗叶绿素a含量和叶绿素b含量,硝氮添加显著增加了小麦幼苗的株高;与高盐相比,氨氮添加显著降低了小麦幼苗的叶宽、叶绿素a含量和叶绿素b含量,硝氮添加均显著降低了小麦幼苗的叶宽;所有混合氮素添加均没有对盐胁迫下小麦种子萌发和幼苗生长产生明显。由此表明,硝氮与低盐复合对小麦幼苗生长产生了拮抗效应,硝氮和氨氮与高盐复合对小麦幼苗生长产生了协同效应,而有机氮和混合氮与盐胁迫符合对小麦种子萌发和幼苗生长均没有影响。因此,在低度盐碱地水平下施用一定水平的硝氮育苗可能会取得较好的效果。 | 伍丙德 李玉娥 彭潇 白秀海 王东林 | 2023 | 陕西农业科学2023，69，10： | 0 |
| 2 | Predictive models of drought tolerance indices based on physiological,morphological and biochemical markers for the selection of cotton(Gossypium hirsutum L.)varieties显示文摘The use of tolerant crop varieties is a strategy that mitigates the water deficit effect in a sustainable way.The generation of these varieties is more efficient when variables associated with this tolerance have been identified,since they can facilitate the breeding processes.This study aimed to establish the relationships between water deficit tolerance of four cotton varieties(Nevada-123,Oasis-129,Guatapuri,and Festivalle)and morphological variables(monopodial branches,boll weight,root/shoot ratio,and leaf and root dry matter),physiological variables(relative water content,net photosynthesis,stomatal conductance,electron transport rate,photochemical quenching,photochemical efficiency of PSII,chlorophyll a/b ratio(Chl a/b),C^(12)/C^(13)isotope ratio,and electrolyte leakage),and biochemical variables(contents of sugars,proline,carotenoids,and malondialdehyde).Furthermore,calibrated predictive models of the drought tolerance indices were developed based on the key variables identified.For this purpose,a pot experiment was established where plants were subjected to a moderate or severe water deficit during the blooming stage for 12 days.The stress tolerance index(STI)and mean productivity(MP)were calculated.For the evaluated variables,the differences between well-watered and water deficit plants(Δ)were calculated and ANOVA,partial least squares,Pearson’s correlation,and multiple linear regression analyzes were performed.A model was generated that explained 95% of the STI and was composed of Δmalondialdehyde,Δproline,and Δboll weight.For MP,the model was comprised of Δstomatal conductance,Δroot/shoot ratio,and ΔChl a/b,and explained 89% of the MP.The analysis of the assessed variables allowed the identification of key variables and the development of calibrated predictive models that can be used in screening to obtain cotton varieties with different levels of water deficit tolerance. | Yeison M QUEVEDO Liz P MORENO Eduardo BARRAGAN | 2022 | Journal of Integrative Agriculture2022，21，5： | 0 |
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