2022
DOI: 10.15407/agrisp9.02.038
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Responses of grapevines to planting density and training systems in semiarid environments

Abstract: Aim. To investigate the physiological and agrobiological responses of grapevines on different systems of training systems in row plantations depending on the planting density and the possibility of adjusting plants for non-irri- gated crop cultivation under cold semiarid climate. Methods. The field two-way experiment of 2 × 4 was applied to study the effect of two planting density variants (3 × 1.5 m; 3 × 1 m) and four vine training systems (when the horizontal cordon is located at the height of 0.4 m, 0.8 m, … Show more

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“…However, the signi cant yield decline observed in high-yielded PGI wine plots contrasts with ndings from Grigg et al (2018) in the Australian Barossa Valley and Ri e et al (2022) in California, where old vines increased grape production.The optimal planting density observed in our dataset ranged widely between 3000 and 5000 vines per hectare. These ndings align with the upper limit suggested by Archer & Strauss (1989) and the lower limit proposed byShtirbu et al (2022). Although our study did not demonstrate a signi cant in uence of planting density on grapevine yield, this could be attributed to the likelihood of winegrowers having already locally optimized the planting density to suit speci c conditions.…”
supporting
confidence: 90%
“…However, the signi cant yield decline observed in high-yielded PGI wine plots contrasts with ndings from Grigg et al (2018) in the Australian Barossa Valley and Ri e et al (2022) in California, where old vines increased grape production.The optimal planting density observed in our dataset ranged widely between 3000 and 5000 vines per hectare. These ndings align with the upper limit suggested by Archer & Strauss (1989) and the lower limit proposed byShtirbu et al (2022). Although our study did not demonstrate a signi cant in uence of planting density on grapevine yield, this could be attributed to the likelihood of winegrowers having already locally optimized the planting density to suit speci c conditions.…”
supporting
confidence: 90%