High-throughput phenotyping to detect anthocyanins, chlorophylls, and carotenoids in red lettuce germplasm

[1]  A. Kuusk,et al.  Generality of relationships between leaf pigment contents and spectral vegetation indices in Mallorca (Spain) , 2017, Regional Environmental Change.

[2]  Daljit Singh.  The Relative Importance of Characters Affecting Genetic Divergence , 1981 .

[3]  John L. Jifon,et al.  Growth Environment and Leaf Anatomy Affect Nondestructive Estimates of Chlorophyll and Nitrogen in Citrus sp. Leaves , 2005 .

[4]  Douglas G. Goodin,et al.  Hyperspectral Analysis of Leaf Pigments and Nutritional Elements in Tallgrass Prairie Vegetation , 2019, Front. Plant Sci..

[5]  Federico Ferreres,et al.  Characterisation of polyphenols and antioxidant properties of five lettuce varieties and escarole. , 2008, Food chemistry.

[6]  D. Murador,et al.  Bioavailability of anthocyanins: Gaps in knowledge, challenges and future research , 2017 .

[7]  Ján Hlavinka,et al.  Anthocyanin contribution to chlorophyll meter readings and its correction , 2013, Photosynthesis Research.

[8]  S. Britz,et al.  Effect of supplemental ultraviolet radiation on the carotenoid and chlorophyll composition of green house-grown leaf lettuce (Lactuca sativa L.) cultivars , 2006 .

[9]  Francisco M. Padilla,et al.  Influence of time of day on measurement with chlorophyll meters and canopy reflectance sensors of different crop N status , 2019, Precision Agriculture.

[10]  M. Vincini,et al.  A broad-band leaf chlorophyll vegetation index at the canopy scale , 2008, Precision Agriculture.

[11]  Holly Croft,et al.  Leaf Pigment Content , 2018 .

[12]  G. Celano,et al.  Effects of compost tea treatments on productivity of lettuce and kohlrabi systems under organic cropping management , 2014 .

[13]  M. A. Naser,et al.  Characterizing Variation in Nitrogen Use Efficiency in Wheat Genotypes Using Proximal Canopy Sensing for Sustainable Wheat Production , 2020, Agronomy.

[14]  Chunhua Zhang,et al.  The application of small unmanned aerial systems for precision agriculture: a review , 2012, Precision Agriculture.

[15]  Yi Liu,et al.  Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity , 2019, PeerJ.

[16]  R. Pescador,et al.  Physiological differences of ‘Crocantela’ lettuce cultivated in conventional and hydroponic systems , 2019, Horticultura Brasileira.

[17]  Correlation among traits as criterion of cotton genotypes indirect selection , 2017 .

[18]  Malika Charrad,et al.  NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set , 2014 .

[19]  S. Passamonti,et al.  Anthocyanins: From plant pigments to health benefits at mitochondrial level , 2019, Critical reviews in food science and nutrition.

[20]  A. Gitelson,et al.  Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm , 1996 .

[21]  S. Silvestri,et al.  Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing , 2006 .

[22]  Yanwei Hao,et al.  Nutritional quality, mineral and antioxidant content in lettuce affected by interaction of light intensity and nutrient solution concentration , 2020, Scientific Reports.

[23]  Anatoly A. Gitelson,et al.  Sensitivity to Foliar Anthocyanin Content of Vegetation Indices Using Green Reflectance , 2011, IEEE Geoscience and Remote Sensing Letters.

[24]  M. Nanni,et al.  High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation. , 2020, Journal of plant physiology.

[25]  D. Arnon.  COPPER ENZYMES IN ISOLATED CHLOROPLASTS. POLYPHENOLOXIDASE IN BETA VULGARIS. , 1949, Plant physiology.

[26]  Clement Atzberger,et al.  Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs , 2013, Remote. Sens..

[27]  Byoung Ryong Jeong,et al.  Light source and CO2 concentration affect growth and anthocyanin content of lettuce under controlled environment , 2012, Horticulture, Environment, and Biotechnology.

[28]  V. Piironen,et al.  Antioxidative and growth-promoting effect of selenium on senescing lettuce , 2001, Plant and Soil.

[29]  L. Carlos,et al.  Spectral Indices for Non-destructive Determination of Lettuce Pigments , 2017, Food Analytical Methods.

[30]  Carlos Antonio da Silva Junior,et al.  Soybean varieties discrimination using non-imaging hyperspectral sensor , 2018 .

[31]  Mahmuda Akter Mele,et al.  The Effect of Phosphorus and Root Zone Temperature on Anthocyanin of Red Romaine Lettuce , 2019, Agronomy.

[32]  W. Köppen.  Das geographische System der Klimate , 1936 .

[33]  Guofeng Wu,et al.  Estimation of arsenic in agricultural soils using hyperspectral vegetation indices of rice. , 2016, Journal of hazardous materials.

[34]  Lei Zhou,et al.  Evaluating the utility of solar-induced chlorophyll fluorescence for drought monitoring by comparison with NDVI derived from wheat canopy. , 2018, The Science of the total environment.

[35]  H. Bergamaschi,et al.  Crescimento de cultivares de alface conduzidas em estufa e a campo , 2004 .

[36]  Christopher Baraloto,et al.  Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rainforest in French Guiana , 2010, Annals of Forest Science.

[37]  G. V. Môro,et al.  Indirect selection of maize genotypes based on associations between root agronomic and anatomical characters , 2018 .

[38]  Christine Stone,et al.  Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices. , 2004, Journal of environmental quality.

[39]  A. Siquieroli,et al.  Image phenotyping of lettuce germplasm with genetically diverse carotenoid levels , 2020, Bragantia.

[40]  G. W. Milligan,et al.  An examination of procedures for determining the number of clusters in a data set , 1985 .

[41]  Lei Guo,et al.  Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery , 2018, Comput. Electron. Agric..

[42]  Paul R. Weckler,et al.  Remote Sensing to Estimate Chlorophyll Concentration in Spinach Using Multi-Spectral Plant Reflectance , 2007 .

[43]  Rodrigo Omar Mendoza-Tafolla,et al.  Estimating Nitrogen and Chlorophyll Status of Romaine Lettuce Using SPAD and at LEAF Readings , 2019, Notulae Botanicae Horti Agrobotanici Cluj-Napoca.

[44]  Nina L. Bassuk,et al.  Using the SPAD 502 Meter to Assess Chlorophyll and Nitrogen Content of Benjamin Fig and Cottonwood Leaves , 2002 .

[45]  Yuri A. Gritz,et al.  Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. , 2003, Journal of plant physiology.

[46]  R. J. Porra,et al.  Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of the concentration of chlorophyll standards by atomic absorption spectroscopy , 1989 .

[47]  Warwick Estevam Kerr,et al.  Divergncia gentica entre gentipos de alface por meio de marcadores AFLP , 2007 .

[48]  F. Shahidi,et al.  Comparison of volatiles, phenolics, sugars, antioxidant vitamins, and sensory quality of different colored carrot varieties. , 2001, Journal of agricultural and food chemistry.

[49]  M. Piles,et al.  Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices , 2019, Remote Sensing of Environment.

[50]  K. Nasahara,et al.  Why is chlorophyll b only used in light-harvesting systems? , 2018, Journal of Plant Research.

[51]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[52]  A. Gitelson,et al.  Application of Spectral Remote Sensing for Agronomic Decisions , 2008 .

[53]  Emile S. Gardiner,et al.  Modeling the relationship between extractable chlorophyll and SPAD-502 readings for endangered plant species research , 2009 .

[54]  N. D. Costa,et al.  ADAPTAÇÃO DE GENÓTIPOS DE ALFACE CRESPA EM CONDIÇÕES SEMIÁRIDAS - DOI: 10.7127/rbai.v11n100553 , 2017 .

[55]  A. Razin,et al.  Analysis of the world lettuce market , 2019, IOP Conference Series: Earth and Environmental Science.

[56]  S. Z. Viña,et al.  Estimation of Chlorophyll Contents by Correlations between SPAD‐502 Meter and Chroma Meter in Butterhead Lettuce , 2007 .

[57]  A. Donnelly,et al.  Leaf chlorophyll estimates of temperate deciduous shrubs during autumn senescence using a SPAD-502 meter and calibration with extracted chlorophyll , 2020, Annals of Forest Science.

[58]  Ricardo Luis Barbosa,et al.  Image phenotyping of inbred red lettuce lines with genetic diversity regarding carotenoid levels , 2019, Int. J. Appl. Earth Obs. Geoinformation.