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Visual rating and the use of image analysis for assessing canopy density in a pecan provenance collection during leaf fall

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林业研究:英文版 2023年第6期34卷 1843-1854页

作者： Cristina Pisani Clive H.Bock Jennifer Randall United States Department of Agriculture−Agricultural Research Service (USDA-ARS)Southeastern Fruit and Tree Nut Research Station(SEFTNRS)ByronGA 31008USA Department of Entomology Plant Pathology and Weed ScienceNew Mexico State UniversityLas CrucesNM 88003USA

A collection representing the native range of pecan was planted at the US DA-ARS Southeastern Fruit and Tree Nut Research Station,Byron,*** collection(867 trees)is a valuable genetic resource for characterizing important horticultural *** density during leaf fall is important as the seasonal canopy dynamics provides insights to environmental cues and breeding potential of *** ability of visual raters to estimate canopy density on a subset of the provenance collection(76 trees)as an indicator of leaf shed during autumn along with image analysis values was *** canopy density using the image analysis software was less compared to visual estimates(11.9%vs 18.4%,respectively).At higher canopy densities,the raters overestimated foliage density,but overall agreement between raters and measured values was good(ρc=0.849 to 0.915),and inter-rater reliability was high(R^(2)=0.910 to 0.953).The provenance from Missouri(MOL),the northernmost provenance,had the lowest canopy density in November,and results show that the higher the latitude of the provenance,the lower the canopy *** on regression,the source provenance latitude explained 0.609 of the variation using image analysis,and0.551 to 0.640 when based on the rater estimates of canopy *** assessment of pecan canopy density due to late season leaf fall for comparing pecan genotypes provides accurate and reliable estimates and could be used in future studies of the whole provenance collection.

关键词： Carya illinoinensis Accuracy Reliability Canopy foliage density Leaf area density Leaf area index

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