Within-season temporal variation in correlations between vineyard canopy and winegrape composition and yield

被引:114
作者
Hall, Andrew [1 ,2 ]
Lamb, David W. [3 ]
Holzapfel, Bruno P. [1 ]
Louis, John P. [1 ]
机构
[1] Charles Sturt Univ, Natl Wine & Grape Ind Ctr, Wagga Wagga, NSW 2678, Australia
[2] Charles Sturt Univ, Sch Environm Sci, Albury, NSW 2640, Australia
[3] Univ New England, Sch Sci & Technol, Precis Agr Res Grp, Armidale, NSW 2351, Australia
关键词
Precision viticulture; Remote sensing; Fruit quality; Yield; Canopy; Phenology; VITIS-VINIFERA L; UNDERSTANDING VARIABILITY; CABERNET-SAUVIGNON; PRODUCTION SYSTEMS; RESOLUTION; PHENOLICS; VINTAGES; SUNLIGHT; GROWTH; FRUIT;
D O I
10.1007/s11119-010-9159-4
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Remote optical imaging can rapidly acquire information describing spatial variability in vineyard block performance. Canopy characteristics were derived from very high spatial resolution (0.25 m) optical imagery of a Cabernet Sauvignon vineyard acquired at various canopy growth stages. Within-season changes to correlation coefficients between vineyard canopy and ultimate composition and yield of harvested fruit were then investigated. Canopy area and density were observed to have significant relationships with yield and fruit quality indicators including berry size, anthocyanins and total phenolic content, but less significant relationships with total soluble solids. The strength and type of correlation varied with canopy growth stage. For anthocyanins and total phenolic content, correlations varied from non-significant before flowering to negative after flowering. For berry weight and yield, correlations varied from negative before flowering to positive after flowering. For total soluble solids, there were some significant relationships but no clear temporal pattern. The results confirm that remote sensing is a useful tool to determine spatial variability in fruit composition and yield. However, both the timing of image acquisition and the way in which canopy is quantified are important determinants of the direction and strength of correlations with fruit composition and yield.
引用
收藏
页码:103 / 117
页数:15
相关论文
共 26 条
[1]   The potential of high spatial resolution information to define within-vineyard zones related to vine water status [J].
Acevedo-Opazo, C. ;
Tisseyre, B. ;
Guillaume, S. ;
Ojeda, H. .
PRECISION AGRICULTURE, 2008, 9 (05) :285-302
[2]  
Bergqvist J, 2001, AM J ENOL VITICULT, V52, P1
[3]   Understanding variability in winegrape production systems - 2. Within vineyard variation in quality over several vintages [J].
Bramley, RGV .
AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH, 2005, 11 (01) :33-42
[4]  
Bramley RGV, 2004, AUST J GRAPE WINE R, V10, P32, DOI 10.1111/j.1755-0238.2004.tb00006.x
[5]  
CANDOLFIVASCONCELOS MC, 1994, PLANTA, V192, P567, DOI 10.1007/BF00203595
[6]   Characterising and mapping vineyard canopy using high-spatial-resolution aerial multispectral images [J].
Hall, A ;
Louis, J ;
Lamb, D .
COMPUTERS & GEOSCIENCES, 2003, 29 (07) :813-822
[7]  
Hamilton R. P, 1988, VITICULTURE, V2, P302
[8]  
Harbertson JF, 2006, AM J ENOL VITICULT, V57, P280
[9]  
HOWARTH CJ, 1977, INSTRUMENTAL ORGANIC, P75
[10]  
Howell GS, 2001, AM J ENOL VITICULT, V52, P165