TABLE 1.

Summary of currently available tools and the proposed method, for analysis of root images and the respective traits provided.

Software or Solution	Automation	Identification and separation of adventitious root	Adventitious root reconstruction	Trait provided (7)						References
				ARL	DIA	LRN	LLRL	TNN	PNN
ARIA	Automatic	+(1)	-	+	+(2)	-	-	-	-	Pace et al. (2014)
DART	Manuel	+	-	+	+	+	-	-	-	Le Bot et al. (2010)
EZ-Rhizo	Semi-auto	+	-	+	-	+	-	-	-	Armengaud et al. (2009)
RootNav	Semi-auto	+	-	+	-	+	+	-	-	Pound et al. (2013)
RootReader2D	Semi-auto	+	-	+	-	+	-		-	Clark et al. (2013)
Root System Analyzer	Automatic	+(3)	-	+	+	+	-	-	-	Leitner et al. (2014)
SmartRoot	Semi-auto	+	-	+(4)	+	+	-		-	Lobet et al. (2011)
RootGraph	Automatic	+	+(5)	+	+	+(2)	-		-	Cai et al. (2015)
RNQS	Automatic	+(6)	-	+	-	+	+		+	Remmler et al. (2014)
WinRHIZO	Automatic	+	-	+	+(5)	-	-		-	Arsenault et al. (1995)
Ascending Path	Automatic	+	+	+	+	+	+	+(8)	+(8)	Jeudy et al. (2016)

For each available software, the table indicates the automation level, the possibility to identify and separate the adventitious root, to reconstruct the adventitious root and the trait provided.

⁽¹⁾Dijkstra’s algorithm.

⁽²⁾Not detailed.

⁽³⁾Adventitious roots need manual initialization.

⁽⁴⁾Requires manual labeling of root types.

⁽⁵⁾Average value.

⁽⁶⁾Destructive method: requires to get out roots from the substrate.

⁽⁷⁾ARL: Adventitious Root Length; DIA: Diameter of the adventitious root; LRN: Lateral Root Number; LLRL: Longest Lateral Root Length; TNN: Total Number of Nodules; PNN: Primary Nodule Number.

⁽⁸⁾These traits have no biological significance for grapevine since it does not make such symbiosis.