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利用Dualex植物葉綠素儀對小麥基因型的產(chǎn)量構(gòu)成進(jìn)行研究

更新時(shí)間:2022-05-06 點(diǎn)擊量:1108

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Dualex便攜式氮平衡-葉綠素-花青素-黃酮醇測量儀

摘要

衰老的開始和速度影響關(guān)鍵農(nóng)藝性狀,包括谷物產(chǎn)量(GY)。我們的目標(biāo)是評估一組14個(gè)面包春小麥(Triticum aestivum L.)基因型中保持綠色和GY之間的關(guān)系,這些基因型具有對水分脅迫的對比耐性?;谌~片葉綠素含量指數(shù)(Chl)和歸一化植被指數(shù)(NDVI)測量,分別量化了葉片和冠層水平的衰老動態(tài)。在溫室和田間試驗(yàn)中,在充分灌溉(WW)和限水(WL)條件下,對描述衰老動態(tài)的參數(shù)進(jìn)行了檢查,這些參數(shù)包括以下保持綠色的特征:靠近開花的最大NDVI或Chl(NDVImax,Chlmax)、衰老率(SR,rate)、曲線下面積(AreaNDVI,AreaChl)和從開花到10(tonset)的時(shí)間,50%(t50,X50)和90%(t90)衰老。我們的結(jié)果表明,在溫室和田間試驗(yàn)中,不同基因型和水分條件下,特定的保綠性狀顯著不同。GY與ttotal(0.42)、tonset(0.62)和NDVIdif(0.63)呈正相關(guān)。在WL條件下,NDVIdif和NDVImax與GY相關(guān)(0.66–0.58),而在WW條件下,只有t50與GY相關(guān)(0.62),這表明保持綠色性狀的表型是跟蹤WW和WL環(huán)境中衰老動態(tài)的有用工具。 

關(guān)鍵詞:農(nóng)藝性狀;葉綠素含量;NDVI;保持綠色特質(zhì) 

Leaf and Canopy Traits Associated with Stay-Green Expression Are Closely Related to Yield Components of Wheat Genotypes with Contrasting Tolerance to Water Stress

Abstract

The onset and rate of senescence influence key agronomical traits, including grain yield (GY). Our objective was to assess the relationships between stay-green and GY in a set of fourteen spring bread wheat (Triticum aestivum L.) genotypes with contrasting tolerance to water stress. Based on leaf chlorophyll content index (Chl) and normalized vegetation index (NDVI) measurements, the senescence dynamics at leaf and canopy levels, respectively, were quantified. Parameters describing the dynamics of senescence were examined in glasshouse and field experiments under well-watered (WW) and water-limited (WL) regimes, and they included the following stay-green traits: maximum NDVI or Chl near to anthesis (NDVImax, Chlmax), the senescence rate (SR, rate), the area under curve (AreaNDVI, AreaChl), and the time from anthesis to 10 (tonset), 50 (t50, X50) and 90% (t90) senescence. Our results revealed that specific stay-green traits were significantly different among genotypes and water regimes in both glasshouse and field experiments. GY was positively correlated with ttotal (0.42), tonset (0.62) and NDVIdif (0.63). Under WL, NDVIdif and NDVImax correlated with GY (0.66–0.58), but only t50 correlated with GY under WW (0.62), indicating that phenotyping of stay-green trait is a useful tool for tracking the dynamics of senescence in WW and WL environments.  

Keywords: agronomical traits; chlorophyll content; NDVI; stay-green trait

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