Effect of Pruning Severity on V egetative, Physiological, Yield and Quality Attributes in Grape (Vitis vinifera L.): A Review

Abstract

Grape is one among the most delicious, refreshing and nourishing fruits of the world. It is one of the earliest fruits grown by man. The berries are a good source of sugars and minerals like Ca, Mg, Fe, and vitamins like B1, B2, and C. Grape has so many uses and is so unique that no fruit can challenge their superiority. Crop load is the most important factor affecting yield and cluster quality as well as vine vigor of both seeded and seedless varieties. Hence, an optimum canopy size and bunch number per vine are to be maintained for achieving better fruit Quality which warrants proper balancing between vigour and capacity. The pruning requirement of different varieties differs as per their growth behaviour. Therefore, variety-specific standardization of pruning is essential for any grape cultivars for harnessing potential yield and quality. In this view, it is essential to get scientific information on the pruning requirement of grapes. Pruning all the matured canes to fruit bud level, as adopted by local grape growers results in more exploitation of reserved food material leading to loss of vigour, quality and early setting of senility in vines. Heavy bearing of vines results in poor quality fruits with low TSS and high fruit acidity.

Effect of Pruning Intensities on the Performance of Fruit Plants under Mid-Hill Condition of Eastern Himalayas: Case Study on Guava

“…Thus, Pruning with appropriate intensity, not only regulate the canopy size but also leads to better fruit quality and yield through better exposure of branches and fruits [32]. Also, pruning requirement is variety and crop specific in fruit plants that depends on growth behavior [33], so standardization of pruning is essential on location specific manner for harnessing potential yield and quality under give environmental conditions. The current study reiterated the importance of pruning especially in water and nutrient stressed hill conditions with the case study on guava.…”

Vineyard Pruning Weight Prediction Using 3D Point Clouds Generated from UAV Imagery and Structure from Motion Photogrammetry

“…Quality parameters include pruning weight (PW), a quantitative variable used as an indicator of plant vigour associated with the quantity and quality of the grapes harvested [29][30][31]. The smaller field sampling effort needed to collect information on this variable entails substantial cost savings for viticulturists redounding to more efficient production management.…”

Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data

“…The effects of management practices such as canopy management [22,23], specifically in terms of pruning techniques [23,24], canopy training systems [23][24][25], fertilization management [26][27][28][29][30], and irrigation scheduling, on berry and wine quality traits have been widely reported. Irrigation scheduling has been recognized as one of the main management practices to manipulate berry size and compounds in berries, specifically by using two techniques, namely regulated deficit irrigation (RDI) [31][32][33][34] and partial rootzone drying (PRD) [35,36].…”