Abstract
The present investigations on genetic variability and correlation in wild grape accessions were carried out in the most favourable regions of Leh district of Jammu and Kashmir. Fifty wild grape accessions from five different villages of the district were marked and evaluated for important morphological traits i.e. yield and quality parameters. Data on various vegetative, fruit physical and fruit chemical characters were taken. Significant variations were observed for all the characters studied except number of seeds per berry. High genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV) were recorded for yield (21.73 and 22.81), yield efficiency (41.19 and 52.73), bunch weight (21.07 and 21.23), number of berries per bunch (22.31 and 25.28), berry length (21.69 and 22.07), berry weight (21.13 and 21.28) and total sugars (22.69 and 22.70). Out of twenty studied characters, thirteen characters registered high heritability estimates, while five recorded moderate heritability estimates and number of seeds per berry and acidity showed low heritability estimates. However, cane length (59.40), leaf area (31.43), bunch weight (43.16), number of berries per bunch (27.18) and TSS/acid ratio (25.81) exhibited high genetic advance as percentage of mean indicating additive gene effect. Fruit or berry yield was positively and significantly correlated with bunch length (0.652), bunch breadth (0.584), bunch weight (0.946), number of berries per bunch (0.672), berry breadth (0.363) and number of seeds per berry (0.612). This study revealed that the characters such as yield, bunch length, bunch weight, number of bunch per vine, berry weight, number of berries per bunch, total soluble solids and total sugars are the most important traits for selecting best grape accessions.
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Claims 20
Claim · model-written summary
All studied grape characters except seed number per berry varied significantly.
Verbatim
e0“Significant variations were observed for all the characters studied except number of seeds per berry”
t0“grapes (Vitis vinifera L.)”
Claim · model-written summary
Seed number per berry did not show significant variation.
Verbatim
e0“Significant variations were observed for all the characters studied except number of seeds per berry”
t0“grapes”
Claim · model-written summary
Yield had high GCV and PCV of 21.73 and 22.81.
Verbatim
e0“High genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV) were recorded for yield (21.73 and 22.81)”
t0“grapes”
Claim · model-written summary
Yield efficiency had high GCV and PCV of 41.19 and 52.73.
Verbatim
e0“yield efficiency (41.19 and 52.73)”
e1“High genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV) were recorded”
t0“grapes”
Claim · model-written summary
Bunch weight had high GCV and PCV of 21.07 and 21.23.
Verbatim
e0“bunch weight (21.07 and 21.23)”
t0“grapes”
Claim · model-written summary
Number of berries per bunch had high GCV and PCV of 22.31 and 25.28.
Verbatim
e0“number of berries per bunch (22.31 and 25.28)”
t0“grapes”
Claim · model-written summary
Berry length had high GCV and PCV of 21.69 and 22.07.
Verbatim
e0“berry length (21.69 and 22.07)”
t0“grapes”
Claim · model-written summary
Berry weight had high GCV and PCV of 21.13 and 21.28.
Verbatim
e0“berry weight (21.13 and 21.28)”
t0“grapes”
Claim · model-written summary
Total sugars had high GCV and PCV of 22.69 and 22.70.
Verbatim
e0“total sugars (22.69 and 22.70)”
t0“grapes”
Claim · model-written summary
Thirteen characters had high heritability estimates.
Verbatim
e0“thirteen characters registered high heritability estimates”
t0“grapes”
Claim · model-written summary
Five characters had moderate heritability estimates.
Verbatim
e0“five recorded moderate heritability estimates”
t0“grapes”
Claim · model-written summary
Seed number and acidity had low heritability.
Verbatim
e0“number of seeds per berry and acidity showed low heritability estimates”
t0“grapes”
Claim · model-written summary
Cane length had high genetic advance of 59.40 percent of mean.
Verbatim
e0“cane length (59.40)”
e1“exhibited high genetic advance as percentage of mean”
t0“grapes”
Claim · model-written summary
Leaf area had high genetic advance of 31.43 percent of mean.
Verbatim
e0“leaf area (31.43)”
e1“exhibited high genetic advance as percentage of mean”
t0“grapes”
Claim · model-written summary
Bunch weight had high genetic advance of 43.16 percent of mean.
Verbatim
e0“bunch weight (43.16)”
t0“grapes”
Claim · model-written summary
Berry count per bunch had high genetic advance of 27.18 percent of mean.
Verbatim
e0“number of berries per bunch (27.18)”
t0“grapes”
Claim · model-written summary
TSS/acid ratio had high genetic advance of 25.81 percent of mean.
Verbatim
e0“TSS/acid ratio (25.81)”
t0“grapes”
Claim · model-written summary
Fruit yield correlated positively and significantly with bunch length, breadth and weight.
Verbatim
e0“Fruit or berry yield was positively and significantly correlated with bunch length (0.652), bunch breadth (0.584), bunch weight (0.946)”
t0“grapes”
Claim · model-written summary
Fruit yield correlated positively and significantly with berry count, breadth and seed count.
Verbatim
e0“Fruit or berry yield was positively and significantly correlated with bunch length (0.652), bunch breadth (0.584), bunch weight (0.946), number of berries per bunch (0.672), berry breadth (0.363) and number of seeds per berry (0.612)”
t0“grapes”
Claim · model-written summary
The authors identified yield, bunch and berry traits, soluble solids and sugars as selection traits.
Verbatim
e0“the characters such as yield, bunch length, bunch weight, number of bunch per vine, berry weight, number of berries per bunch, total soluble solids and total sugars are the most important traits for selecting best grape accessions”
t0“grapes”