Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat
Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat
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DOI：
10.2135/cropsci2005.0211
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发表时间：
2006-05-01
期刊：
影响因子：
2.3
通讯作者：
Stone, ML
中科院分区：
文献类型：
--
作者：
Babar, MA;Reynolds, MP;Stone, ML
光谱指数作为植物育种的选择工具，可以提高不同重要性状的遗传增益。本研究的目的是评估潜在的光谱反射指数（SRI），以估计在季节生物量生产，叶片叶绿素，冠层温度（CT）在小麦（Triticum aestivum L.）的遗传变异。在灌溉条件下。三个田间试验，GHIST（15 CIMMYT全球适应的历史基因型），RILs 1（25重组自交系[RILs]），RILs 2（36 RILs）进行灌溉条件下在CIMMYT研究站在墨西哥西北部在三个不同的年份。评价了五种SRI以区分生物量生产的基因型。总的来说，所有指标的基因型变异是显着的。近红外辐射（NIR）为基础的指数给出了最高水平的关联与生物量生产和较高的协会，观察到在抽穗和灌浆，而不是在孕穗。总体而言，基于NIR的指数更一致，区分生物量更有效地与其他指数相比。基于反射光谱比值的指数与SPAD叶绿素值相关，且在生殖生长阶段相关性较强。这些SRI也成功地区分了基因型水平上的SPAD值。基于近红外光谱的指数显示出强烈的和显着的关联与CT在抽穗期和灌浆期。这些结果表明，使用SRI作为育种工具，选择增加生物量和叶绿素含量的遗传增益，加上凉爽的树冠的潜力。
Spectral indices as a selection tool in plant breeding could improve genetic gains for different important traits. The objectives of this study were to assess the potential of using spectral reflectance indices (SRI) to estimate genetic variation for in-season biomass production, leaf chlorophyll, and canopy temperature (CT) in wheat (Triticum aestivum L.) under irrigated conditions. Three field experiments, GHIST (15 CIMMYT globally adapted historic genotypes), RILs1 (25 recombinant inbred lines [RILs]), and RILs2 (36 RILs) were conducted under irrigated conditions at the CIMMYT research station in northwest Mexico in three different years. Five SRI were evaluated to differentiate genotypes for biomass production. In general, genotype variation for all the indices was significant. Near infrared radiation (NIR)-based indices gave the highest levels of association with biomass production and the higher associations were observed at heading and grainfilling, rather than at booting. Overall, NIR-based indices were more consistent and differentiated biomass more effectively compared to the other indices. Indices based on ratio of reflection spectra correlated with SPAD chlorophyll values, and the association was stronger at the generative growth stages. These SRI also successfully differentiated the SPAD values at the genotypic level. The NIR-based indices showed a strong and significant association with CT at the heading and grainfilling stages. These results demonstrate the potential of using SRI as a breeding tool to select for increased genetic gains in biomass and chlorophyll content, plus for cooler canopies.